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Annual Meeting Announcement, 1095

2020 Annual Meeting Seismological Society of America Technical Sessions 27–30 April Albuquerque Convention Center Albuquerque, New Mexico

PROGRAM COMMITTEE Tuesday, 28 April • Technical Sessions. The Co-Chairs of the 2020 SSA Annual Meeting are Rick • SSA Luncheon (open to all attendees). Awards Ceremony Aster of State University and Brandon Schmandt of to follow. Noon–1 pm, Hall 3. University of New Mexico. • Mentoring Luncheon (RSVP required with registration). Noon–1 pm, Hall 3. Meeting Contacts • SSA Awards Ceremony. 1:15–2:15 pm, Kiva Auditorium. • Lightning Talks. 6:30–7:30 pm, Kiva Auditorium (see page Technical Program Co-Chairs 1096). Rick Aster and Brandon Schmandt • Early-Career and Student Reception. 7:30–8:30 pm, [email protected] Ballroom B.

Abstracts Wednesday, 29 April Rikki Anderson • Technical Sessions. 510.559.1784 • SSA Luncheon (open to all attendees). Public Policy [email protected] Lecture to follow. Noon–1 pm, Hall 3. • Women in Seismology Luncheon (RSVP required with Registration registration). Noon–1 pm, Hall 3. Mattie Adam • Public Policy Lecture. Speaker: Terry Wallace, Director 510.559.1781 Emeritus, Los Alamos National Laboratory, 1:15–2:15 pm, [email protected] Kiva Auditorium (see page 1100). • Joyner Lecture. Lecturer: Julian Bommer, Imperial Media Registration and Press Releases College of London. 6:15–7:15 pm, Kiva Auditorium (see Becky Ham page 1100). 602.300.9600 • Joyner Reception. 7:15–8:45 pm, Outdoor Plaza. [email protected] • Special Interest Group: Seismic Tomography 2020: What Comes Next? 8–9:30 pm, Room 215 + 220 (see page 1098). Exhibit and Sponsorship Opportunities • Special Interest Group: SOS: Save Our Seismograms. 510.525.5474 8–9:30 pm, Room 230 + 235 (see page 1098). [email protected] Thursday, 30 April PRELIMINARY SCHEDULE • Technical Sessions. Monday, 27 April • Luncheon. Noon–1:15 pm, Hall 3. • Workshops (see page 1097). Friday, 1 May • SSA Board of Directors Meeting • Field Trips (see page 1099). • Registration. 3–7:30 pm, Outside Ballroom C • Post-Meeting Workshop (see page 1098). • Welcome Reception. 5–6:30 pm, Ballroom B • Opening Lecture: Ross S. Stein, Ph.D., CEO & Cofounder of Temblor, Inc. (see page 1100). 6:30–7:30 pm, Room 115 doi: 10.1785/0220200043 Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1095 EVENTS Multi-Signature Ground- and Space Borne Observations: A Quick Forensic Analysis of the 21 Lightning Talks June 2019 Philadelphia Energy Solutions Refinery The Lightning Talks comprise an hour of 10 five-minute talks. Explosion The talks start at 6:30pm on Tuesday, 28 April. Joshua Carmichael ([email protected]) On 21 June 2019 08:22 UTC, a fire at an oil refinery in Real-Time, Real Magnitudes, Why We Need GNSS Philadelphia, PA climaxed in the detonation of vaporized in Early Warning propane fuel that produced an explosion and fireball (https:// Kathleen Hodgkinson ([email protected]) www.youtube.com/watch?v=yCXysi2g61Q). This fireball was Real-time GNSS measurements indicated the 2019 M7.1 resolved in the infrared band of the spaceborne Geostationary Ridgecrest, California, earthquake was ~M6.9 within 13 sec- Operational Environmental Satellite (GEOS) weather radar onds of the origin time. Why did it work so well for Ridgecrest? (https://www.space.com/philadelphia-refinery-fireball-seen- What does GNSS record that seismic doesn’t? We make the from-space.html), far above meteorological background levels. case for real-time GNSS in EEW. Residents located kilometers away from the refinery that did not all witness this fire tweeted that multiple explosions rattled The M6.4 Indios Sequence from the Trenches their homes during the time of the fire. While the Elizabeth A. Vanacore ([email protected]) Geological Survey catalogued no coincident with Beginning on December 28th, 2019, holiday celebrations this event, seismic and infrasound stations recorded clear Puerto Rico were disrupted by earthquake activity along the waveforms ≤ 177 km from the refinery at times that acoustic Punta Montalva . What followed was a complex earth- waves are predicted to arrive from-source, after the explosion quake sequence encompassing multiple faults in southwestern origin time. These seismic waveforms show consistent ellip- Puerto Rico including a M6.4 event on January 7, 2020. This tically-polarized correlation in the 2-10Hz band and provide sequence, now called the M6.4 Indios Sequence, included mul- strong evidence of Rayleigh waveforms. The presence of such tiple destructive earthquakes and generated fear amongst the seismo-acoustic signals at local distances (≤ 200 km) after the local populace. At the Puerto Rico Seismic Network, the staff explosion suggests that blast-generated air waves provided the and students ran a delicate balance between locating events, source of these ground-coupled, low group velocity Rayleigh maintaining operations, communicating with press and public waves. We promote these cumulative space-borne and ground and trying to find time to do the necessary science to provide observations that include unconventional sources (Twitter) as critical information to emergency responders and government a forensic, multi-signature testbed dataset for urban centered officials. Here the experience of the M6.4 sequence from the explosions on the East Coast. point-of-view of the responding regional network, PRSN, will be presented. Crowd-Sourcing Tsunami Warnings with Ship Position Data Fear and Loathing in Machine Learning Anne F. Sheehan ([email protected]) Sarah Albert ([email protected]) The high cost associated with deployment and main- The popularity of machine learning has increased dramat- tenance of cabled ocean bottom instrumentation and low ically in recent years. In seismology, peer-reviewed machine latency tsunami buoys is a limiting factor to subduction zone- learning research ranges from automated phase picking and wide expansion of tsunami warning systems. In the interim, event discrimination to the digitizing of analog records. non-traditional observation strategies have been suggested Despite these peer-reviewed studies, there is still a large including instrumentation of ship traffic in coastal regions. amount of skepticism surrounding its usefulness. Skeptics Ships routinely broadcast an automatic identification sys- argue that there is no way to tie results to the physical prop- tem (AIS) signal, which is used in vessel tracking and colli- erties of a signal, making the whole discipline a “black box” sion avoidance. These AIS signals are picked up by satellites, where anything goes. Far from it! Machine learning is a statis- including the recent proliferation of CubeSat constellations. At tical tool that can be powerful when used in the right context. any given time there are many tens of ships offshore Cascadia. This talk will introduce the statistical theory behind machine Here we illustrate what can be done with ship heading and learning algorithms with the goal of dissolving the “black box”. position data in a tsunami data assimilation framework. In the Steps to aid in determining whether a problem is suited for data assimilation method, long used in weather forecasting, machine learning and potential applications within the field of real-time observations are continuously assimilated to pro- seismology will also be discussed. SNL is managed and oper- duce a forecast. In tsunami data assimilation, seafloor pressure ated by NTESS under DOE NNSA contract DE-NA0003525. data, GPS buoy data, ship position data and other sources can be used to forecast a coastal tsunami, and a tsunami source model is not required. Future observation platforms for these 1096 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 kinds of forecast systems might even include GNSS on floating With the advances in computer image processing, it is now offshore windfarms. possible to digitize these records more quickly than ever, and utilize them like almost any other modern digital time series. Oh Moment, Where Art Thou? Here, we present a brief overview of different media used to Peter M. Powers ([email protected]) record/store seismograms, and how analog data can be taken And other questions arising from a ten year odyssey in from paper to digital time series for exciting research. National Seismic Hazard Model development. Also, some unapologetic plugs for USGS products. The Great Lisbon Earthquake and the Problem of Evil The Potential of Using Fiber Optic Arrays for Daniel C. Bowman ([email protected]) Earthquake Magnitude Estimation According to Gottfried Leibniz, the problem of evil—why Noha S. Farghal ([email protected]) bad things happen to good people—was surely solvable, or Recent work showed the potential of using borehole at least understandable, in this “best of all possible worlds.” strainmeter records to estimate earthquake magnitudes Then came the Great Lisbon Earthquake of 1755, a catastro- and associated ground motions. These recent achievements phe not only for the city but for philosophy itself. This disaster show the value of the strain measurement in characterizing convinced many that moral and natural law are irrevocably earthquakes. However, installing a strainmeter in a borehole divorced. This separation persists to the present day, but we is costly and not always feasible, since it may not always be are not powerless. We cannot prevent earthquakes by chang- possible to drill boreholes in critical locations around faults, ing our thoughts and actions, but we can transform the study especially offshore. Fiber optic sensing technology promises of the natural world from exclusive to inclusive—making it easier and cheaper scalability of measuring strain, providing open to all of human society. The problem of evil may remain thousands of strain sensing points with a few meters of optical an open question, but human actions can still make the world fiber that can be deployed in telecom pipes and offshore. In a better place. this talk, I will showcase the value of strain records in detect- ing earthquakes and estimating their magnitudes and associ- WORKSHOPS ated ground motions, and I will briefly discuss the future of fiber optic strain sensing for this application. Ally Skills Training Monday, 27 April 2020, 2–4 pm or 4:30–6 pm What Do You Believe? Instructor: Sherry Marts, S*Marts Consulting Wendy Bohon ([email protected]) For years, scientists have assumed that sharing the facts In any situation in which you possess social privilege (an and figures of our scientific research is enough to convince unearned advantage over others), you can be an ally to those people that the work we do, and the conclusions that we draw, with less privilege. Being an ally takes understanding privi- are valid and important. Unfortunately, this tactic doesn’t lege and recognizing the subtle behaviors, unspoken rules and work. Research shows that most people don’t make decisions unquestioned traditions that perpetuate oppression. It also using only facts and logic; they make decisions based on their takes a willingness to take effective action. Allies are key to individual values and belief systems. So how can we tap into creating an inclusive culture in any organization or environ- people’s values belief systems so that they understand, believe ment. This training will teach you what is needed to be an and value our science? effective ally and will include learning: • Why allies are needed and why targets don’t speak up. Teaching Old Data New Tricks • How codes of conduct bolster equity and inclusion efforts. Thomas A. Lee ([email protected]) • How to recognize subtle forms of exclusion or harass- Around the world, hidden away in closets, basements and ment. almost every other storage space imaginable, is an oft over- • Strategies to interrupt and respond to bias and a chance to looked but invaluable resource for seismology, analog seis- practice these skills. mograms. Seismograms were recorded for much of the 20th century, and while many of these records are still extant today, Machine Learning they are often in danger of deterioration, or worse, being dis- Monday, 27 April 2020, 8:30 am–12 pm or 1–4:30 pm carded. Many unique and significant events are represented Instructors: Youzuo Lin, Los Alamos National Laboratory; in these data sets, including great earthquakes, volcanic erup- Qingkai Kong, University of California, Berkeley; Maruti tions and above-ground nuclear tests. Additionally, study of Kumar Mudunuru, Los Alamos National Laboratory; Daniel long-term processes like the earthquake cycle and climate Trugman, Los Alamos National Laboratory change greatly benefit from a time series of over a century. Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1097 Learn how to use machine learning in your research! be discussed. Participants will also get an in-depth look at how The increase in computational capability in the past to review colleagues’ papers in constructive and reliable ways. decade has created new opportunities for machine learning The free workshop is geared toward students and early-career and data science in the seismological fields. This workshop seismologists, but is open to all Annual Meeting attendees offers an introduction to machine learning concepts and a hands-on look at how to use them in seismological research. Borehole and Borehole Array Best Practices, The workshop will cover introductory machine learning Development and Testing topics such as regression, classification, clustering, data clean- Friday, 1 May 2020, 8:30 am–4:30 pm ing, feature engineering and automatic feature extraction with Instructors: Tim Parker, Nanometrics, Inc.; Pete Davis, deep learning. Attendees will then learn about the practical University of California, San Diego; Adam Ringler, U.S. issues that are encountered when applying these methods to Geological Survey; John Collins, Woods Hole Oceanographic waveform and seismicity data. Institution; Dave Mencin, UNAVCO

Understanding and Analyzing Earthquake A one day workshop to share information for borehole opera- Catalogs tors, researchers and developers of the next generation geo- Monday, 27 April 2020, 1–4 pm physical and hazard monitoring boreholes and borehole arrays. Instructors: Egill Hauksson, Caltech and Southern California There will be updates on best practices, the potential for new Seismic Network; Andrew J. Michael, U.S. Geological Survey; observations, testing of new approaches, recent developments, Dmitry A. Storchak, International Seismological Centre trends in borehole station array design and applications for significant initiatives. These initiatives include early earth- Earthquake catalogs provide deep insights into how the Earth quake warning and tsunami hazards systems. Performance works for our research and are a critical input to seismic haz- trades related to cost, depth, signal to noise performance, ard assessments. These readily available resources are the maintenance and expected life of stations are an important result of analyzing seismograms to detect earthquakes, iden- consideration for these types of installations. Major borehole tify wave arrivals and a series of inversions to produce esti- topics will include: mates of hypocenters, magnitudes, moments and focal mecha- • Ocean boreholes and arrays, deep and shallow cased holes nisms. Understanding the strengths and uncertainties of each • Global science monitoring networks step is the key to doing excellent work. We will cover 1) the • EQ and Geologic hazard monitoring and warning net- Southern California Seismic Network’s real-time and reviewed works earthquake catalogs along with special catalogs with refined • CTBTO/Nuclear monitoring locations, template matching for increased event detection • Multi-instrumented and cross disciplinary efforts and focal mechanisms; 2) the International Seismological Centre’s global Bulletin, the ISC-EHB Bulletin and the ISC- SPECIAL INTEREST GROUPS GEM (Global Earthquake Model) catalogue; 3) the USGS Comprehensive Earthquake Catalog; and 4) catalog visualiza- Seismic Tomography 2020: What Comes Next? tion tools to uncover artifacts, how to determine the magni- Wednesday, 29 April 2020, 8–9:30 pm tude of completeness and the parameters of the magnitude- Conveners: Andreas Fichtner, ETH Zürich; Clifford Thurber, frequency distribution. University of Wisconsin-Madison

Writing an Impactful Scientific Paper This Special Interest Group encourages SSA members to be Monday, 27 April 2020, 1–4 pm involved in shaping and developing the Seismic Tomography Instructors: Roland Bürgmann, University of California, 2020 meeting to be held 9–11 October 2020 in Toronto, Berkeley, BSSA associate editor emeritus; John Ebel, Boston Ontario. Tomography 2020 aims to be a forum for tomogra- College, founding editor-in-chief of SRL; Brent Grocholski, phy experts and others working with tomography to present Science, editor of all seismology papers for the journal. recent findings and evaluate techniques and models. The co- chairs are especially interested in encouraging attendees to This workshop will help you learn what goes into writing come with ambitious ideas for advancing tomography’s reach an excellent peer-reviewed paper and how to be a reliable in the geosciences. reviewer for those peers. With examples of good figures, titles and abstracts as a guide, the instructors will demonstrate the SOS: Save Our Seismograms elements that go into elevating a research paper to maximize Wednesday, 29 April 2020, 8–9:30 pm its impact. The roles of the editors, the reviewers, the authors Conveners: Allison Bent, Natural Resources Canada; Diane and the journal production staff in the publication process will Doser, University of El Paso; Garrett Euler, Los 1098 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Alamos National Laboratory; Margaret Hellweg, University view of the many different types of instruments in use by the of California, Berkeley; Lorraine Hwang, University of research community today. California, Davis; Kaiwen Wang, Stanford University Seismotectonics of the Pajarito Fault System and Analog seismograms comprise a vast and largely untapped data Valles Caldera source, one that is increasingly at risk. The era of analog seismic Friday, 1 May 2020 data spans more than a century, much longer than the current Trip Leaders: James P. McCalpin, GEO-HAZ Consulting Inc.; digital era. Although many seismograms have been lost to natu- Emily Schultz-Fellenz, Los Alamos National Laboratory; ral causes as well as willful destruction, there are still many mil- Erika Swanson, Los Alamos National Laboratory; Brandon lions of records in existence. All of these are at risk from deterio- Crawford, Los Alamos National Laboratory; Robert Givler, ration and many from pressures related to storage space and its Lettis Consultants International Inc.; John Baldwin, Lettis associated costs. Analog data collections range from small per- Consultants International Inc. sonal collections to institutional archives numbering in the mil- lions of seismograms. These data sets are not only hard to access This field trip travels north from Albuquerque to examine but require innovative approaches to perform any type of mod- the Pajarito fault system (PFS) in the vicinity of Los Alamos, ern seismic analysis. To unlock their potential, these records NM. The PFS is a N-S- striking, predominantly E-dipping and their associated metadata must be scanned and digitized. normal fault that constitutes the active western boundary of Strategies must be developed for standards and data sharing. the Neogene Rio Grande . Its surface trace has displaced Digitized legacy seismograms have the potential to enable dis- the 1.256 Ma Bandelier Tuff plateau vertically by as much as coveries in many fields. These include not only seismotectonics 200 m (down to the east), creating an impressive but complex and seismic hazard, but also Earth structure from crust to core, surface expression and . The Los Alamos National induced seismicity, ambient noise, tsunamis, landslides, volca- Laboratory lies within the hanging wall of the PFS. Because noes and effects associated with climate change. As this data the PFS dominates the seismic hazard at Los Alamos National set is rediscovered, researchers have successfully adapted and Laboratory, especially at longer time periods, paleoseismic applied techniques developed for use with digital data, among studies of the PFS began in the early 1990s (McCalpin, 1998; which are moment tensor inversion, machine learning, tomog- 1999; Reneau et al., 2002; Gardner et al., 2003; Lewis et al., raphy and a myriad of spectral analyses. We invite you to learn 2009) and are ongoing (Lettis Consultants International Inc., more and join our growing community. 2019). At the morning and midday stops, we will discuss the challenges of deriving unambiguous paleoseismic parameters FIELD TRIPS (surface rupture length, displacement per event, recurrence, magnitude) from this bedrock fault scarp in an erosional envi- IRIS PASSCAL Instrument Center ronment. Friday, 1 May 2020 Directly west of the PFS lies the Valles-Toledo caldera Trip Leader: Bob Woodward, Incorporated Research complex, which is the source of the Bandelier Tuff datum Institutions for Seismology around Los Alamos. This volcanic center remained active through the late . Recent research by LANL staff Half day field trip featuring stops at the IRIS PASSCAL explores whether the PFS might be more than a simple tec- Instrument Center on the campus of New Mexico Institute of tonic normal fault (Swanson et al., 2019); it is possible that Mining and Technology and at the Minerals Museum, along the volcano-tectonic systems are more mutually inclusive than with narration along the bus trip down the Rio Grande valley. previously understood, with possibility of the normal fault NMT is located in Socorro, NM, ~75 miles south of influenced or even driven by magmatic events in the caldera Albuquerque. The IRIS PASSCAL Instrument Center is system. Afternoon stops will discuss the caldera and volcanic an ~40,000 square foot NSF-funded facility that supports system on the footwall of the PFS and will discuss general the IRIS PASSCAL program by providing what is likely the principles of volcanic paleoseismology and assessment of vol- world’s largest instrument depot dedicated to providing seis- cano-tectonic hazards. The trip returns to Albuquerque via the mological instruments for use by the research community. The Jemez Mountains, making a loop that rejoins our outbound PASSCAL program has an inventory consisting of thousands route at Bernalillo, slightly north of Albuquerque. of instruments, with a total value exceeding $70 M. The facil- ity consists of warehouse, laboratory and office space. PIC staff USGS Albuquerque Seismological Laboratory can provide tours featuring: discussions describing where and Friday, 1 May 2020 how experiments are done; show the piers, vaults and labora- Trip Leaders: David Wilson, U.S. Geological Survey (dwil- tories used for instrument repair, test and calibration; and tour [email protected]); Adam Ringler, U.S. Geological Survey (aring- the warehouse to provide both a sense of scale and a first-hand Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1099 [email protected]); Robert Anthony, U.S. Geological Survey (rean- The Waste Isolation Pilot Plant (WIPP) is the nation’s only [email protected]) certified nuclear waste repository. The purpose of WIPP is to isolate radioactive waste created in the production of nuclear The U.S. Geological Survey Albuquerque Seismological weapons. The waste has very specific descriptions and is called Laboratory (ASL) is about 15 miles southeast of Albuquerque transuranic waste (TRU). WIPP, located near Carlsbad, NM on the Pueblo of Isleta, adjacent to Kirtland Air Force Base. was chosen to entomb TRU waste in a deep, stable layer of The ASL was established in 1961 as a seismic instrument halitic evaporites. WIPP is nearing its original operating capac- design and testing facility, and it is now regarded of ity and expansion of WIPP is a priority of the Department of the top seismic testing facilities in the world. The ASL sup- Energy. It is assumed that the entombing of the waste will be ports the Global Seismographic Network (GSN) Program secure and stable for 10,000 years. This safety requirement and the Advanced National Seismic System (ANSS) through begins to encroach on the scale of “geologic time,” which jux- the installation, operation and maintenance of seismic sta- taposes unknowables in terms of hazards, human activity and tions around the world and serves as the premier seismologi- even questions of the future of government. Seismology was cal instrumentation test facility for the U.S. Government. The central in the original certification for WIPP, and once again, ASL also supports ANSS regional networks and Earthquake with tremendous rejuvenation of hydrocarbon recovery in the Early Warning through the operation of a seismic equipment Basin is central to decision to expand WIPP. depot that provides instrumentation to all of the networks of the ANSS. The tour will take you through the ASL operations Joyner Lecture center, instrument testing centers, the underground testing Wednesday, 29 April, 6:15–7:15 pm, Kiva Auditorium tunnels and the local GSN station IU-ANMO. Julian Bommer, Imperial College of London This field trip is open only to U.S. citizens due to visitor “Are Small Earthquakes a Big Deal? restrictions at Kirtland Airforce Base. Earthquake engineering has traditionally focused on pro- tecting society against the effects of large-magnitude earth- TECHNICAL PROGRAM quakes but in recent years there has been increasing interest regarding the impact of smaller earthquakes. This has been The 2020 SSA Technical Program comprises oral and poster driven partly by the occurrence of some low-magnitude earth- presentations presented over three days, 27–30 April. The ses- quakes that have been cause unexpected levels of damage and sion descriptions, detailed program schedule and all abstracts particularly by the heightened concern regarding earthquakes appear in the following pages. of anthropogenic origin. A number of case histories of small magnitude events reported to have caused damage are then LECTURES reviewed, highlighting in each case the specific factors con- tributing to the impact—and in some cases arguing that the Opening Lecture physical impact may have been exaggerated. Monday, 27 April, 6:30–7:30 pm, Room 115 The lecture re-visits the often misunderstood rationale Ross S. Stein, Ph.D., CEO & Cofounder of Temblor, Inc. behind the exclusion of smaller magnitude earthquakes from “From the Loss of the Wager to Aircraft Black Boxes: Discovery, probabilistic seismic hazard analysis as being related to the Grit and SSA’s Opportunity.” risk posed by such events. This is followed by a global analy- I will argue that the Seismological Society of America sis of small-to-moderate magnitude earthquakes to ascertain should form and lead an international consortium to put the likelihood of these resulting in damage and/or injury, also a seismic black box in every commercial building in every considering the generally shallower depths of induced events. quake-prone part of the world. Consideration is also given to the question of the smallest magnitudes of relevance to hazards other than ground shak- President’s Address ing, including liquefaction and surface rupture. The lecture Tuesday, 28 April, 1:15–2:15 pm, Kiva Auditorium concludes with some insights regarding if and when smaller Susan Hough will present the President’s Address, “SSA is earthquakes should be a concern as well as discussing the chal- YOU,” after the luncheon on Tuesday, 28 April. lenges associated with modelling the resulting hazard and risk that such events can pose. Policy Speaker Wednesday, 29 April, 1:15–2:15 pm, Kiva Auditorium SSA MEETINGS CODE OF CONDUCT Terry Wallace, Director Emeritus, Los Alamos National Laboratory SSA is committed to fostering the exchange of scientific ideas “When Geologic Time and Politics Collide: Assessing Risk for by providing a safe, productive and welcoming environment WIPP” for all SSA sponsored meeting participants, including attend- 1100 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 ees, staff, volunteers and vendors. We value the participation Reporting Unacceptable Behavior of every member of the community and want all participants Any participant experiencing or witnessing behavior that at to have an enjoyable and fulfilling experience. any time in their judgment constitutes an immediate or seri- All participants at SSA meetings are expected to be ous threat to public safety is advised to contact emergency considerate and collaborative, communicating openly with services immediately (for hotel security at the Hyatt Regency respect for others and critiquing ideas rather than individuals. Albuquerque, dial 55 from any house phone; for hotel secu- Behavior that is acceptable to one person may not be accept- rity at the DoubleTree, dial 0 from any house phone; at the able to another, so use discretion to be sure that respect is Albuquerque Convention Center, dial (505) 768-4590 from communicated. any house phone; or 911) and to notify on-site venue security and SSA staff. 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Requests for confidentiality will be honored to the tal related to gender, gender identity and expression, age, extent possible. sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), national Consequences origin, or other legally protected group status or charac- SSA staff (or their designee) or security may take any action teristics. deemed necessary and appropriate for any unacceptable • Inappropriate use of nudity and/or sexual images or lan- behavior, including but not limited to that described above. guage in public spaces or in presentations. Possible actions include removal of a participant from the • Harassment intended in a joking manner still constitutes meeting, without refund. Suspension or termination of mem- unacceptable behavior. bership in SSA, denial to participate in future SSA events or • Retaliation for reporting harassment is also a violation of meetings, or other action(s) may be taken in SSA’s sole discre- this Code of Conduct, as is reporting an incident in bad tion, depending on the severity of the unacceptable behavior. faith. SSA is committed to handling all situations to the best of its ability. However, this Code of Conduct is informational and is not a contract.

Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1101 Technical Sessions, 1102

Technical Sessions

Advances in Real-Time Operations for Conveners: Alan Levander, Rice University (alan@rice. Hazards Monitoring edu); Fenglin Niu, Rice University ([email protected]); Peter Shearer, University of California, San Diego (pshearer@ Real-time GNSS data are being incorporated into earthquake ucsd.edu); Brandon Schmandt, University of New Mexico and tsunami early warning systems, space weather monitoring ([email protected]) and near real-time meteorological forecasting. The upgrading of decades-old GNSS networks to real-time systems combined Advances in Seismic Interferometry: with the ability of NTRIP casters to distribute data streams Theory, Computation and Applications from multiple networks is creating hemispherical-scale GNSS networks. For real-time GNSS to become an integral part of Seismic interferometry extracts information from the ambi- monitoring systems the networks must have redundant data ent seismic field and enables imaging in the absence of earth- flow paths, reliable power and latencies on the order of tenths quakes or artificial sources. Recent developments in seismic of a second. This, and the interest in integrating existing GNSS, interferometry have benefited from the increasing availability seismic and meteorological networks combined with the push of continuous records of ambient seismic noise from tradi- of data processing to the network edge points has created a tional broadband instruments and emerging new acquisition new set of challenges in network operations, data management technologies, such as large-N nodal arrays and distributed and real-time data analysis. acoustic sensing systems. This has opened up the possibility of This session provides an opportunity for network opera- performing high-resolution tomographic imaging anywhere tors and researchers to discuss these challenges. We encour- dense networks are available. In addition to applications in age presentations that discuss the merging of geophysical seismic tomography, the potential temporal resolution in con- networks, the use of cloud technology to manage data flow tinuous seismic records provides the possibility of monitoring and data processing and the development of real-time analyt- the transient changes of subsurface properties for various geo- ics and machine-learning algorithms to monitor the state of logical targets such as glaciers, volcanoes, groundwater, res- health of the networks and detect transients in the incoming ervoirs, active faults, infrastructure and even other planetary data. bodies. The utilization of continuous seismic records mean- Conveners: Kathleen M. Hodgkinson, UNAVCO (hodg- while demands the development of computer programs capa- [email protected]); David J. Mencin, UNAVCO (dmencin@ ble of handling massive data sets (terabytes to petabytes). We unavco.org) welcome contributions of recent advances in seismic interfer- ometry on a broad range of topics, including (but not limited Advances in Seismic Imaging of Earth’s to) theoretical developments in amplitude measurements and Mantle and Core and Implications for structural inversion, utilization of higher-order cross-correla- Convective Processes tions, new analyzing techniques and computer programs and novel applications across disciplines. Global, regional and local scale seismic array data and Conveners: Doyeon Kim, University of Maryland, College improved imaging methods are providing increasingly Park ([email protected]); Xiaotao Yang, Harvard University detailed constraints on the heterogeneous structure of Earth’s ([email protected]); Tim Clements, Harvard mantle and core. Heterogeneity is documented by seismic University ([email protected]); Ross Maguire, properties such as isotropic wave speeds, anisotropy, attenu- University of New Mexico ([email protected]); Tieyuan ation, scattering and the topography, polarity and sharpness Zhu, Penn State University ([email protected]); Nori Nakata, of reflective interfaces. These seismic results have implications Massachusetts Institute of Technology ([email protected]); for how the convection systems in the two largest layers of the Ved Lekic, University of Maryland ([email protected]); Marine Earth operate and potentially interact. We seek contributions Denolle, Harvard University ([email protected]) that advance knowledge of the internal properties and bound- aries of distinctive sub-layers ranging from the lithosphere to Advances in Upper Crustal Geophysical the inner core. Studies that use new seismic imaging results to Characterization test hypotheses related to thermal and compositional bound- ary layers, phase transitions, compositional mixing, the role of The upper crust plays a critical societal role, from access to fluids and active deformation are especially encouraged. clean water to the production of energy to the impact of geo- 1102 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 logic hazards. It is also our window into the layers below; geo- per year in comparison with similar scale earthquakes in other physical variability in the near surface can map into deeper regions (e.g. the more developed countries). For example, in structure if not properly considered. With respect to seismic 2017, a M7.3 earthquake struck northern Iraq, causing more hazards and earthquake ground motions, variability in near than 200 deaths and 1,900 injuries (Aon Benfield, 2017f). In surface geophysical properties can lead to an overall amplifi- 2018, an Indonesian earthquake of M6.9, killed 460 and dis- cation or deamplification of strong ground motions, large lat- placed 350,000 people; in 2012, a northwest Iran earthquake eral variability in site response, as well as resonance at specific caused 250 deaths and injured 2,000; and in 2011 in south- ground shaking frequencies. With respect to groundwater, eastern Turkey, an earthquake killed 200 and injured 1,000. characterizing porosity, regolith development and frac- Events within the Alp-Himalayan seismic belt show a broad ture permeability all lead to better estimates of storage poten- range of human, social, financial, economic and environmen- tial and groundwater flow rates. Geophysical characterization tal damage, with a potentially long-lasting, multi-generational of the near surface is therefore critical to being able to address effects (OECD, 2018). these issues. A vast number of methods exists with which to Conveners: Zoya Farajpour, The University of Memphis characterize the subsurface from direct methods that measure ([email protected]); Shahram Pezeshk, The University rock density and seismic velocity in-situ to indirect methods of Memphis ([email protected]); Sinan Akkar, Bogazici where seismic wave travel times, gravity, resistivity and other University ([email protected]); Hadi Ghasemi, parameters are measured at the Earth’s surface, and subsurface Geoscience Australia ([email protected]) properties are inferred. We seek contributions that include direct and indirect field observations, laboratory experiments Amphibious Seismic Studies of Plate and geophysical theory that link observation and expectation Boundary Structure and Processes to studies that explore the impact of competing assumptions. Conveners: Oliver S. Boyd, U.S. Geological Survey Recent years have seen a rapid increase in the number of shore- ([email protected]); Bill Stephenson, U.S. Geological Survey crossing seismic experiments aimed at characterizing seismic- ([email protected]); Lee Liberty, Boise State University ity, deformation and structure at continental margins. Many ([email protected]) studies use controlled source imaging in conjunction with continuous recordings of natural seismic sources. Examples Alpine-Himalayan Alpide Shallow of data integration include using ocean-bottom seismometer Earthquakes and the Current and the data in both disciplines and combining results from shallower, Future Hazard Assessments high-resolution imaging with deeper, lithospheric-scale stud- ies to understand structures that influence seismicity and plate Historically, the Alpine-Himalayan seismic belt has been fre- boundary processes. We invite contributions from the com- quently witnessed some of the most destructive earthquakes. munity of seismologists studying plate boundary processes at This vast area, more than 15,000 km along from the south- the transition from onshore to offshore (ocean or lake) envi- ern margin of Eurasia, extends from Java and Sumatra to the ronments, including subduction zones, active or relict rifted Indochinese Peninsula, the Himalayas, the mountains of Iran, margins and transform faults. the Caucasus, Anatolia, the Mediterranean, terminating at the Conveners: Jenny Nakai, University of New Mexico (jena- Atlantic Ocean. [email protected]); Lindsay Lowe-Worthington, University of The seismotectonic and occurrence sequences of earth- New Mexico ([email protected]); Anne Trehu, Oregon quakes in each region on the Alpide belt are significant State University ([email protected]) (Jackson and McKenzie,1984; Gupta,1993) and, due to the unique character of these active regions, deserves further atten- Applications and Technologies in tion from the scientific community. Earthquake-prone coun- Large-Scale Seismic Analysis tries located along the Alpide major deformation belt include Nepal, Pakistan, Afghanistan, Iran, Turkey, Greece, Italy, etc. The growth and maturation of technologies that make it eas- In last decades, there have been many large earthquake occur- ier to analyze large volumes of data has enabled new areas rences with magnitude 6 and larger events in the area such as of research in seismology. Computational frameworks like the 2010 Kerman, Iran M6.3; 2012 East Azarbaijan M6.4; 2013 Apache Spark and Dask augment existing tools like MPI. New Sistan and Baluchistan, Iran M7.7; 2017 Kermanshah, Iran programming languages like Julia and the emergence of new M7.3; 2011 Van, Turkey M7.2; 2015 Katmandu, Nepal M7.8; scalable analysis capabilities in languages like Java and Python and 2015 Badakhshan, Pakistan M7.5 are examples of earth- supplement traditional languages like C and Fortran. Finally, quakes within the Alp-Himalayan region. new platforms like the commercial cloud offer alternatives to The number of disastrous earthquakes in the Alpine areas existing high performance computing platforms. Technologies is high, leading to hundreds of deaths and billions of dollars like these increase accessibility to a new scale of inquiry, mak- Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1103 ing large-scale research in seismology more tractable than ever Crustal Stress and Strain and before. In this session, we invite researchers and data provid- Implications for Fault Interaction and ers to share work in data-hungry applications, approaches to Slip large data collection, storage and access and experiences with processing platforms and architectures. During earthquake cycles, crustal deformation includes multi- Conveners: Jonathan K. MacCarthy, Los Alamos National ple components such as inelastic strain increments associated Laboratory ([email protected]); Chad Trabant, Incorporated with earthquakes, elastic strain accumulated in the interseis- Research Institutions for Seismology (chad@iris.. mic period, aseismic slip on some fault sections and viscoelas- edu) tic strain near and below the brittle-ductile transition depth. Resolving stress and strain distributions in the crust, specifi- Back to the Future: Innovative New cally near fault zones, is essential for a better understanding of Research with Legacy Seismic Data deformation processes, fault interactions and providing con- straints on fault zone geometry and rheology. There has been much discussion in recent years about Big This session focuses on (1) the estimation of the state of Data and within the seismological community, how to cope stress/strain in different phases of earthquake cycle and (2) the with its ever-expanding volume of digital data. But there exists analysis of stress/strain distributions at different spatial and a source of yet Bigger Data: historical seismic records. With temporal scales by soliciting works based on theory, observa- more than a century of seismic waveform data, there is oppor- tions, modeling and laboratory experiments. Contributions tunity to resolve intimate details of, and potentially revolution- are encouraged but not limited to address the following ques- ize, our understanding of Earth dynamics, including phenom- tions: ena associated with tectonic and geologic processes, seismic 1. What can we extract from geodetic, geologic, borehole sources, climate change and seismic hazard. The challenge: and seismic data regarding the state of stress and strain at much of the waveform data is tucked away on analog media regional and local scales? such as paper, tape, film or archaic and arcane digital media 2. How are stress and strain distributed in laboratory experi- in holdings that are at risk of being lost forever. These data ments and nature and how can we bridge the two? sets are not only more difficult to physically access and read 3. What are the insights from numerical simulations on than their digital counterparts, but often demand innovative the state of stress and to what extent can models help in approaches to perform any type of modern seismic analysis. interpreting observations such as earthquakes or slow slip We invite presentations that highlight the discovery, pres- events? ervation and/or use of seismic datasets spanning multiple 4. How will spatial stress/strain variations from long-term decades. Such presentations would include those that address data compilations improve our knowledge of the motion the problems of restoration, digitization and storage of the vast partitioning across complex fault zone areas, aseismic archives of legacy data. We encourage contributions that illus- slip, fault zone structure and earthquake cycles? trate the on-going value of legacy data in the general fields of 5. How can information on the state of stress/strain be used study for which seismographic data have been used and the to improve long-term earthquake forecasting and seismic value of legacy seismographic data in other geophysical dis- hazard assessments? ciplines. A few examples include studies of regional or local Conveners: Niloufar Abolfathian, University of Southern seismicity, earthquake recurrence and prediction, seismic California ([email protected]); Thomas H. W. hazard, climate signatures, inner core rotation and growth and Goebel, University of Memphis ([email protected]); 4D seismic tomography. We also seek contributions that fea- Mong-Han Huang, University of Maryland (mhhuang@umd. ture efforts in standardizing metadata and image data formats, edu) improving accessibility through rapid scanning, advances in vectorization software and tuned data compression algo- Cryptic Faults: Assessing Seismic rithms, efforts in compiling calibrations of seismometers and Hazard on Slow Slipping, Blind or application of machine learning techniques to directly extract Distributed Fault Systems geophysical information from the legacy data. Conveners: Garrett Euler, Los Alamos National Characterization of active faults for seismic hazard often relies Laboratory ([email protected]); Brian Young, Sandia National on the analysis of geomorphic records preserved within the Laboratories ([email protected]); Ana Aguiar, Livermore landscape that indicate fault movement. In certain environ- National Laboratory ([email protected]); Thomas Lee, ments, particularly those that are slow (<5 mm/yr) slip rate, Harvard University ([email protected]); James blind and distributed fault systems, the tectonic activity leaves Dewey, U. S. Geological Survey ([email protected]) subtle tectonic signals within the landscape, challenging the conventional methods of identification and characterization of 1104 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 these fault systems. In recent years, advances in remote sens- Early Results from the 2020 M6.4 ing, including high-resolution topographic data from lidar Indios, Puerto Rico Earthquake and unmanned aerial vehicles, have revolutionized the iden- Sequence tification of fault-related features at the Earth’s surface and led to increasing confidence in the characterization (fault length, On January 7, 2020 a magnitude 6.4 earthquake occurred 8 slip rate, recurrence interval) of faults. Recent numerical and km south of Indios, Puerto Rico. This earthquake is part of an experimental models further provide analogues for surfi- ongoing sequence that started on Dec 28, 2019. The sequence cial fault rupture patterns and fault-related features to locate includes 11 foreshocks M 4.0 and larger and numerous M 4-5 potential faults. In addition, advances in Quaternary geochro- aftershocks. In the days following the mainshock, seismolo- nology and Bayesian modeling have refined ages of geomor- gists, geologists and engineers mobilized to gather data on the phic and stratigraphic surfaces, resulting in better constraints rapidly evolving earthquake sequence. In this session, we hope on the activity of faults. Thus, the recognition of active and to bring together experts to discuss early results from the field. potentially active fault traces is expanding, ultimately leading We especially encourage presentation of new results that con- to improved seismic hazard models. tribute to improved understanding of the hazard posed by the This session will include studies that focus on new data poorly known and potentially tsunamigenic Muertos Trough and how methods have been applied to the characterization of subduction zone. Potential topics include: 1) high-quality cryptic faults. In particular, we welcome presentations on the earthquake catalogs, 2) region specific ground motion mod- application of remote sensing, geophysical, modeling and field els, 3) local site amplification, 4) ground failure observations, work techniques, as well as geomorphic or paleoseismic case 5) structural damage observations, 6) fault slip rates and 7) studies on slow slip rate, blind or distributed fault systems in novel and creative methods and parameters that contribute any tectonic setting. to advancing probabilistic seismic hazard models for Puerto Conveners: Jessica A. T. Jobe, U.S. Bureau of Reclamation Rico. ([email protected]); Stephen J. Angster, U.S. Geological Survey Conveners: Daniel McNamara, U.S. Geological Survey ([email protected]) ([email protected]); Elizabeth Vanacore, University of Puerto Rico ([email protected]); Alberto Lopez, Data Fusion and Uncertainty University of Puerto Rico ([email protected]); Emily Quantification in Near-Surface Site Wolin, U.S. Geological Survey ([email protected]) Characterization Earthquake Early Warning: Current Non-invasive methods for site characterization have clear Status and Latest Innovations advantages of cost and effort over their invasive counterparts. The inverse problem ill-posedness, however, the inherent The field of earthquake early warning (EEW) is expanding, complexity of the shallow crust and associated measurement incorporating research from a wide range of other domains and modeling uncertainties of active and passive surface wave including computer science, civil engineering and social sci- techniques can lead to poor estimations of site properties, ence. The number of examples of earthquakes recorded by oper- which would affect in turn the assessment of earthquake haz- ational EEW systems continues to grow. The 2019 Ridgecrest ard at the site of interest. Recent studies have shown that joint sequence, for example, included both the largest main shock inversion of multiple data-sets recording sub-surface hetero- and the most energetic aftershock sequence encountered by geneities (e.g. active and passive data, ground motion record- the US ShakeAlert EEW system. This sequence, along with ings) and statistical inference techniques can improve the esti- other large earthquakes e.g. in Japan, Mexico and , pro- mated properties and better quantify associated uncertainties vide operational experience and insight into the potential and of non-invasive methods. We here invite contributions on the the limitations of EEW systems. Many challenges remain to development and/or implementation of state-of-the-art meth- maximize the potential of these systems. Unanswered ques- ods in inverse problems, data assimilation and uncertainty tions range from the scientific (e.g., real-time magnitude esti- quantification, to improve the characterization of near-surface mates of large earthquakes and rupture predictability) to the site conditions. practical (e.g., how to distribute alerts to the public most effi- Conveners: Elnaz Esmaeilzadeh Seylabi, University of ciently, minimizing data transmission delays). Nevada, Reno ([email protected]); Domniki Asimaki, California In this session we welcome abstracts related to all aspects Institute of Technology ([email protected]); Nori Nakata, of EEW including, but not limited to, algorithm development, Massachusetts Institute of Technology ([email protected]); system performance, improved trigger detection/discrimi- Alan Yong, U.S. Geological Survey ([email protected].) nation techniques, network build-out, alerting methods and technology and EEW education and outreach. Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1105 Conveners: Angela I. Chung, University of California, to this session are welcome on a wide variety of topics includ- Berkeley ([email protected]); Men-Andrin Meier, ing—but not limited to— the seismic signals associated with Caltech ([email protected]) the microseism, landslides, rock falls, debris flows, lahars, snow avalanches, cliff or pinnacle resonance, river bedload Earthquake Ground Motion and transport, flood events, fluid flow in open and confined chan- Impacts nels, water gravity waves or infragravity waves, tides, sea ice variability, glacier stick-slip, iceberg calving, glacier crevass- Description: This poster session encompasses earthquake ing, subglacial hydrology, hurricanes, tornadoes or anthropo- strong ground motion and impact scenarios, methodologies, genic sources. Studies focusing on engineering applications are estimations and simulations, and observations. additionally welcome and may include studies of groundwater Conveners: Richard C. Aster, Colorado State University and remediation, site characterization for geologic and seismic ([email protected]); Brandon Schmandt, University of hazard applications, monitoring of critical infrastructure and New Mexico ([email protected]) geotechnical applications. In addition, other processes moni- tored by seismic waves such as permafrost, groundwater in Earthquake Source Parameters: Theory, confined or karst aquifers, glacier mass, using seismometers Observations and Interpretations or DAS (distributed acoustic sensing; fiber-optic seismology) data are welcome. Contributions that seek to conduct moni- Understanding origin and spatio-temporal evolution of seis- toring, create physical or statistical models of source processes micity needs a careful quantitative analysis of earthquake or systems, detect events, characterize a wave propagation source parameters for large sets of earthquakes in studied environment or interact with other branches of the Earth seismic sequences. Determining focal mechanisms, seismic or social sciences are additionally encouraged. Submissions moment tensors, static stress drop, apparent stress and other running the gamut from site-specific case studies to ongoing earthquake source parameters provides an insight into tectonic methodological advances are warmly welcomed. stress and crustal strength in the area under study, material Conveners: Bradley P. Lipovsky, Harvard University properties and prevailing fracturing mode (shear/tensile) in ([email protected]); Richard C. Aster, Colorado the focal zone and allows investigating earthquake source pro- State University ([email protected]); Will Levandowski, cesses in greater detail. In addition, studying relations between Tetra Tech, Inc. ([email protected]); Jamey static and dynamic source parameters and earthquake size is Turner, Tetra Tech, Inc. ([email protected]) essential for understanding the self-similarity of rupture pro- cesses and scaling laws and for improving our knowledge on Exploring Rupture Dynamics and ground motion prediction equations. Seismic Wave Propagation Along This session focuses on methodological as well as obser- Complex Fault Systems vational aspects of earthquake source parameters of natural or induced earthquakes in broad range of magnitudes from large Investigations related to how complexities in fault parameters to small earthquakes, including acoustic emissions in labora- and geometry could potentially impact the behavior of earth- tory experiments. Presentations of new approaches to deter- quake rupture and affect seismic hazard are areas of active mination of focal mechanisms, seismic moment tensors and and challenging research. This session will highlight recent other source parameters as well as case studies related to anal- advances in rupture dynamics on complex fault systems. ysis of earthquake source parameters are welcome. We also We are open to a wide range of studies related to numerical, invite contributions related to scaling of static and dynamic experimental and observational fault rupture dynamic stud- source parameters, to self-similarity of earthquakes and inver- ies with heterogeneities such as fault geometry, fault rough- sions for stress and other physical parameters in the focal zone. ness, frictional parameters, topography, creeping mechanisms, Conveners: Vaclav Vavrycuk, Institute of Geophysics stress asperities, off-fault material properties, bi-material of the Czech Academy of Sciences ([email protected]); Grzegorz interfaces and wedge structures along subduction zones. We Kwiatek, GFZ Potsdam ([email protected]) also encourage contributions on research that explores links between earthquake source physics, tsunami generation/prop- Environmental and Near Surface agation and ground motion variability. Seismology: From Glaciers and Rivers Conveners: Roby Douilly, University of California, to Engineered Structures and Beyond Riverside ([email protected]); Christos Kyriakopoulos, University of Memphis ([email protected]); Kenny Environmental seismology is the study of seismic signals gen- Ryan, Air Force Research Laboratory ([email protected]); erated at and near the surface created by environmental forces Eric Geist, U.S. Geological Survey ([email protected]); Ruth in the atmosphere, hydrosphere or solid Earth. Contributions Harris, U.S. Geological Survey ([email protected]); David 1106 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Oglesby, University of California, Riverside (david.oglesby@ For this session, we invite contributions relevant to the ucr.edu) 2023 COUS and Alaska NSHM updates including, but not limited to: Atlantic and Gulf Coast and other alternative site Explosion Seismology Advances amplification models, new fault models (WUS and Alaska), UCERF3 update/simplification, NGA-Subduction GMMs, Explosion sources are an important component of seismol- physics-based (3D simulation) ground motion model valida- ogy used as a tool to characterize the sub-surface for a variety tion and implementation, non-ergodic aleatory uncertainty, of applications. For example, in regions of low natural back- basin models, new geodetic data and inversions, M-area scaling ground seismicity, mine blasting can dominate monitoring cat- relations and the Alaska megathrust geometry and recurrence. alogs and finding and separating these sources from tectonic Conveners: Allison M. Shumway, U.S. Geological Survey earthquakes is important for hazard estimation. Recent work ([email protected]); Mark D. Petersen, U.S. Geological using template matching, waveform modeling for moment Survey ([email protected]); Peter M. Powers, U.S. tensors and combining seismic and acoustic data has shown Geological Survey ([email protected]); Sanaz Rezaeian, great success in discriminating explosions from earthquakes U.S. Geological Survey ([email protected]) and other sources. With the advent of inexpensive and easy to deploy arrays and networks of sensors, the wavefield produced From Aseismic Deformation to Seismic by explosions is being studied with unprecedented detail. We Transient Detection, Location and welcome abstracts on explosion source physics, wave propa- Characterization gation, Large-N network design, distributed acoustic sensing (DAS), new sensor technologies, multi-physics data fusion and The fundamental role that slow earthquake phenomena are advanced processing techniques applied to explosion sources. playing in our understanding of the physical mechanisms that Conveners: Catherine M. Snelson, Los Alamos National lead to the preparation and generation of large earthquakes is, Laboratory ([email protected]); Robert E. Abbott, Sandia by this time, well-defined. Nevertheless, our knowledge about National Laboratories ([email protected]); William R. the nature of slow earthquakes and their complex behavior is Walter, Livermore National Laboratory ([email protected]); far from being complete. Cleat P. Zeiler, Mission Support & Test Services (zeilercp@ The main goal of this session is to provide an overview of nv.doe.gov) the phenomenon in its entirety, from the aseismic to seismic event-components. Specifically, we welcome innovative stud- Forthcoming Updates of the USGS ies based on the analysis of large data-sets of continuous seis- NSHMs: Hawaii, Conterminous U.S. and mic ground motions and/or geodetic (GPS) recordings. Alaska We aim to focus on the most recent advances in the meth- odological developments of the detection and location tech- The U.S. Geological Survey (USGS) National Seismic Hazard niques, together with the characterization and interpretation Models (NSHMs) are the bridge between best-available earth- of the related events source characteristics. quake science and public policy. In the next few years, the We are particularly encouraging contributions that shine National Seismic Hazard Model Project (NSHMP) will com- a light on the connection between slow and fast earthquakes. plete three model updates: Hawaii (2020), the conterminous Conveners: Florent Aden-Antoniow, University of U.S. (COUS, 2023) and Alaska (2024?). The Hawaii seismic Southern California ([email protected]); Mariano Supino, hazard model was last updated in 1998. The NSHMP is cur- Institut de Physique du Globe de Paris ([email protected]); rently in the process of updating this model and held a pub- Sushil Kumar, Wadia Institute of Himalayan Geology (sushil_ lic workshop in September 2019 to present early findings [email protected]) and solicit feedback from the scientific community. The cur- rent status of the model will be presented in this session, as Full-Waveform Inversion: Recent well as preliminary hazard results. The COUS model was last Advances and Applications updated in 2018 and includes NGA-East ground motion mod- els (GMMs) in the central and eastern U.S. and basin amplifi- With ever increasing computational resources, full-waveform cations in the western U.S. (WUS). The next model update for inversion (FWI) is becoming a more feasible method to study the COUS will be in 2023 with a focus on updating the WUS the Earth’s interior. There are, however, still many challenges source model and subduction zone GMMs. The deadline for that the method faces. Uncertainty quantification is an open publications that the USGS may consider for this update is debate, the scaling of cost with the number of modeled sources December 2020. We have also begun to plan for the Alaska makes the usage of large datasets expensive, and probabilistic NSHM, last updated in 2007. solutions are still in their infancy. The progress of FWI as an imaging method has largely been driven by increased compu- Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1107 tational resources, development of numerical wave propaga- Alamos National Laboratory ([email protected]); tion solvers and workflow software developments. FWI has the Monica Maceira, Oak Ridge National Laboratory (maceiram@ potential to greatly improve our understanding of the Earth’s ornl.gov); ​​​​​​​Omar Marcillo, Los Alamos National Laboratory subsurface, but in order to make further progress, method- ([email protected]) ological innovations are essential as they can make the prog- ress less dependent on the available computational resources. InSight Seismology on Mars: Results In this session we encourage contributions related to from the First (Earth) Year of Data and technological, algorithmic or other advances of FWI, as well Prospects for the Future as recent applications of the method. Conveners: Solvi Thrastarson, ETH Zurich (soelvi. The InSight mission landed on Mars on November 26, 2018 [email protected]); Dirk-Philip van Herwaarden, and was the first to place an ultra-sensitive broadband seis- ETH Zurich ([email protected]); Carl mometer on the surface of another planet. It will provide key Tape, University of Alaska Fairbanks ([email protected]) information on the composition and structure of an Earth-like planet that has gone through most of the evolutionary stages of Innovative Seismo-Acoustic the Earth up to, but not including, plate . Using seis- Applications to Forensics and Novel mology, geodesy and heat flow measurement, InSight aims to Monitoring Problems determine the thickness and structure of the Martian crust and mantle, the size and state of the core, the planet’s thermal state Seismic and acoustic sensors are capable of recording ground and the level of tectonic activity and rate of meteorite impacts. motion and acoustic waves originating from many phenomena The two-year (one Mars year) InSight mission ushers in and activities. Besides traditional monitoring of natural envi- a new era in planetary seismology. In the coming years and ronmental phenomena and military activities, seismo-acoustic decades NASA may launch missions to explore the interiors of measurements can also be used to detect, identify, locate, char- our Moon, Venus and the “Ocean Worlds” of the Solar System acterize and monitor animal, domestic and industrial processes (e.g., Europa, Enceladus and Titan). Other Space agencies might that generate recordable acoustic, infrasonic and/or seismic also launch additional missions with seismometers. While the waves. Both established and more innovative data analyses can focus of these mission concepts vary from fundamental geo- extract useful information from these wavefields. As our homes, physics to detection of life and conditions for life, seismological factories and communities get smarter, more data is needed, exploration of planetary bodies’ interiors is likely to play a key if not required, for safe operation. The information extracted role in understanding planetary state and evolution by helping from seismo-acoustic measurements of both persistent and to determine their thermal and chemical make-up. transient activity will improve our state-of-health assessments We invite contributions that take advantage of the seis- of these environments. For example, seismo-acoustic signals mic data from the first year on Mars, as well as modeling that related to machinery operations can be used to monitor status looks forward to upcoming data from Mars or other planetary and specifics of the machinery independently. bodies. With data being made available through the IRIS Data We welcome submissions on collection and analysis of Management Center, results from both within and outside the seismo-acoustic data and techniques including but not lim- mission science team are welcome. ited to (1) seismo-acoustic monitoring of animal, domestic Conveners: Mark P. Panning, Jet Propulsion Laboratory, and industry activities; (2) acoustic and seismic analyses of Caltech ([email protected]); Sharon Kedar, Jet chemical, ammunition or vapor explosions; (3) multi-signa- Propulsion Laboratory, Caltech ([email protected]. ture fusion of seismo-acoustic data with other geophysical gov); Bruce Banerdt, Jet Propulsion Laboratory, Caltech signatures; (4) methods to quantify uncertainties of param- ([email protected]) eter estimates that are derived from observing surficial, tran- sient sources in noisy and cluttered signal environments; (5) Late-breaking Earthquakes special geophysical considerations of human-made environ- ments that can bias source parameter estimates; (6) leveraging This poster session accommodates general studies of notable unconventional data streams for association and source loca- late-breaking earthquakes, including but not restricted to the tion that include social media posts; and (7) machine learning Mw 7.7 Caribbean earthquake of January 28. applications to acoustic and seismic signals. Conveners: Richard C. Aster, Colorado State University Conveners: Chengping Chai, Oak Ridge National ([email protected]); Brandon Schmandt, University of Laboratory ([email protected]); Joshua D. Carmichael, Los New Mexico ([email protected])

1108 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Leveraging Advanced Detection, injection volumes and rates, change in reservoir pressure, Association and Source induced stressing rates). Characterization in Network We solicit studies on any types of induced seismicity Seismology around the world, including geothermal, hydrocarbon pro- duction, waste-water disposal, CO2 sequestration and gas In a classic seismic monitoring framework, automatic pick- storage. Case studies from the laboratory to large-N array ers detect earthquakes, individual detections are associated deployments to field-scales are welcomed. We also seek stud- into events and events are further characterized using routine ies from a wide variety of disciplines that aim to monitor, methods (e.g., single-event locators, magnitude estimators). observe and model injection-induced seismicity. The aim of While this processing structure underlies the operations of the this session is to bring together numerical, observational and majority of seismic networks, researchers continue to develop experimental studies on both aseismic and seismic processes novel ways to extract additional earthquake data from con- associated with induced earthquakes. tinuous waveforms. Template matching is routinely applied Conveners: Matthew Weingarten, San Diego State to lower detection thresholds. Machine learning algorithms University ([email protected]); Ruijia Wang, University detect earthquake signals and further classify key seismic of New Mexico ([email protected]); Thomas Göbel, University characteristics (e.g., phase-type). Multiple-event relocation of Memphis ([email protected]); Heather R. DeShon, algorithms retrospectively enhance earthquake hypocenter Southern Methodist University ([email protected]); estimates. While many such techniques have vastly improved Kyung-Won Chang, Sandia National Laboratories (kchang@ our understanding of cataloged seismicity, hurdles remain sandia.gov) when applying these techniques to real-time systems and therefore they have not been routinely adopted. In this session, Near-Surface Effects: Advances in Site we invite submissions that investigate novel earthquake detec- Response Estimation and Its tion and characterization techniques, particularly with a focus Applications on how these could be applied in a real-time environment to regional and global seismic networks. The effects of shallow geological layers and interfaces (within Conveners: William L. Yeck, U.S. Geological Survey the upper 1-2 km) on the seismic-induced ground motion ([email protected]); Kris Pankow, University of Utah (pan- recorded at the surface have been the focus of numerous stud- [email protected]); Gavin Hayes, U.S. Geological Survey ies over the past few decades. However, while the methods ([email protected]); Paul Earle, U.S. Geological Survey for simulating ground shaking have rapidly evolved, making ([email protected]); Harley Benz, U.S. Geological Survey robust 3D calculations feasible for broadband seismograms, ([email protected]) the approaches for determining their input parameters at the necessary level of detail still suffer from a range of limitations Mechanisms of Induced Seismicity: and uncertainties. Furthermore, it is today recognized that Pressure Diffusion, Elastic Stressing the ground shaking recorded at the surface is also affected by and Aseismic Slip the energy released back to the ground by building structures that might contribute to locally increase or decrease ground The rise of man-made earthquakes has generated interest motion. from a broad range of scientists and stakeholders. The interest The aim of this session is to present studies dealing with stems from both practical and scientific standpoints, whereby innovative approaches for the investigation of shallow geologi- induced seismicity poses a hazard that can potentially be miti- cal layers and interfaces; site response assessment, in particular, gated and also presents an opportunity to learn about earth- considering the spatial variability of seismic ground motion at quakes in an environment where driving mechanisms may small wavelengths and uncertainties in site response models be better constrained. Recent advances in seismic and geo- and their inputs; and building/city-soil interaction. Studies detic monitoring has allowed for more detailed observations dealing with the assessment of the attenuation of wave propa- of anthropogenically induced and triggered seismicity. These gation and those focusing on non-linear behavior by making observations have revealed more complex interactions beyond use of arrays of sensors, both in boreholes and in buildings, effective stress reduction, including aseismic processes and are particularly welcome. Studies involving innovative appli- elastic stress effects. A better understanding of the contribu- cations of horizontal to vertical spectral ratio (HVSR) meth- tions from these processes (as a function of distance and time, ods for investigations of shallow geological interfaces, seismic as well as flow and elastic parameters) has significant impli- microzonation studies and site response assessment are also cations for the expected seismic hazard. In addition, seismic encouraged. Furthermore, case studies dealing with local sec- hazard assessment is tied to improved characterizations of ondary effects due to earthquake shaking, such as liquefaction the primary controlling factors on induced earthquakes (e.g. and landslides, in non-standard situations are also invited. Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1109 Conveners: James Kaklamanos, Merrimack College (kak- ogy used to observe pre-, co- and post-seismic deformation [email protected]); Dhananjay A. Sant, The Maharaja due to earthquakes. Such advances include the use of aerial Sayajirao University of Baroda (sant.dhananjay-geology@ and terrestrial lidar, image correlation methods, low-altitude msubaroda.ac.in); Stefano Parolai, Instituto Nazionale di aerial photography, interferometric synthetic-aperture radar Oceanograffia e di Geofisica Sperimentale (sparolai@inogs. (InSAR) and dense deployments of geophysical and geodetic it); Philippe Guéguen, ISTerre, Université Grenoble Alpes sensors in both permanent and campaign arrays. In addition / Université Savoie Mont‐Blanc/CNRS/IRD/IFSTTAR to augmenting the methods in our collective toolbox, we have ([email protected]); Imtiyaz Parvez, learned from other continental strike-slip earthquakes in these CSIR Fourth Paradigm Institute ([email protected]); Hiroshi intervening 20 years, allowing us to target fundamental ques- Kawase, Disaster Prevention Research Institute, Kyoto tions and high-resolution datasets to characterize earthquake University ([email protected]); Ashly Cabas, processes and fault behavior. These investigations include, as North Carolina State University ([email protected]) an example, coupling field and remote-sensing approaches to determine fine-scale slip distributions along and across fault Numerical Modeling of Rupture strike to quantify strain partitioning and off-fault deforma- Dynamics, Earthquake Ground Motion tion. We welcome contributions with direct observations of and Seismic Noise the 2019 Ridgecrest Earthquake Sequence, including the July

4 Mw 6.4 foreshock event, that elucidate processes specific to Faithfully modeling rupture propagation, seismic wave propa- this sequence that will help us better understand the behavior gation and earthquake ground motion in increasingly com- of earthquake and fault processes, as well as the characteristics plex models of the Earth’s interior requires algorithmically of ground motions from large crustal earthquakes, globally. advanced and computationally efficient numerical-modeling Conveners: Alexandra E. Hatem, U.S. Geological Survey methods. These methods are often developed in response ([email protected]); Susan Hough, U.S. Geological Survey to challenges imposed by new data but sometimes due to ([email protected]); Christopher W. D. Milliner, Jet Propulsion progress in mathematical and numerical methodology itself. Laboratory, Caltech ([email protected]); Evolution of the HPC infrastructure further facilitates and Sinan Akciz, California State University, Fullerton (sakciz@ influences numerical modeling in seismology. fullerton.edu); Alana Williams, Arizona State University We invite contributions focused on development, verifi- ([email protected]); Timothy Dawson, California Geological cation and validation of numerical-modeling methods as well Survey ([email protected]) as important applications of the methods especially to rup- ture dynamics, seismic wave propagation, earthquake ground Ocean Bottom Seismology – New Data, motion including non-linear behavior, seismic noise and New Sensors, New Methods earthquake hazard. Applications to compelling observational issues in seis- The accelerating number of OBS deployments and research mology are especially welcome. incorporating emerging technology such as distributed sens- We also encourage contributions on the analysis of meth- ing has propelled marine seismology into a leading role in ods, fast algorithms, high-performance implementations and our field. New developments have opened doors for improv- large-scale simulations. ing sensors, deployment methods, analysis techniques and Conveners: Peter Moczo, Comenius University Bratislava calibration and understanding of propagation and noise char- ([email protected]); Steven M. Day, San Diego State acterization for the marine environment. We welcome con- University ([email protected]); Jozef Kristek, Comenius tributions outlining new seafloor seismic deployments, new University Bratislava ([email protected]); Martin Galis, data sets, new methods and new insights within this grow- Comenius University Bratislava ([email protected]) ing branch of seismic monitoring and exploration. Whether you’re imaging the lithosphere, modeling global or seafloor Observations from the 2019 Ridgecrest propagation or focused on offshore seismicity or earthquake Earthquake Sequence early warning, we hope you will contribute to a lively session on expanded marine efforts. The Mw 7.1 July 5 mainshock of the 2019 Ridgecrest Conveners: Charlotte A. Rowe, Los Alamos National Earthquake Sequence was the largest earthquake in California Laboratory ([email protected]); Susan L. Bilek, New Mexico in the 20 years since the 1999 Mw 7.1 Hector Mine event and Institute of Mining and Technology ([email protected]); the first major earthquake in southern California since the Nathaniel J. Lindsey, University of California, Berkeley (nate- regional seismic monitoring was expanded to pave the way for [email protected]) earthquake early warning. Over the past 20 years, our commu- nity has developed many advances in methods and technol- 1110 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Photonic Seismology quake early warning instrumentation are encouraged. We also encourage abstracts that focus on long-period or high- Emerging measurement tools have the potential to expand frequency seismology that could show limitations in our abil- how we apply seismology to study and monitor Earth sys- ity to record such signals. tems. Recent advancement in the field of photonics has led Conveners: David Wilson, U.S. Geological Survey (dwil- to novel sensing methods based on optical interferometry, [email protected]); Adam Ringler, U.S. Geological Survey (aring- including Distributed Acoustic Sensing (DAS), which is rap- [email protected]); Robert Anthony, U.S. Geological Survey (rean- idly becoming a popular tool among seismological research [email protected]) groups worldwide. DAS enables Large-N array seismology in novel and unique spaces such as in boreholes, mines, under- Recent Development in Ultra-Dense neath streets in urban areas and offshore. The main advantages Seismic Arrays with Nodes and of DAS for seismology include, but are not limited to, high- Distributed Acoustic Sensing (DAS) resolution, long spatial and temporal deployment of sensors, time-lapse repeatability and the unique opportunity to lever- Recently, ultra-dense seismic deployments, typically consist- age existing fiber infrastructure such as telecommunication ing of hundreds to thousands of short-period nodal instru- cables for geophysics. Because data acquired with DAS instru- ments or distributed acoustic sensing (DAS) systems with ments contain information on the displacement gradient of fiber optic cables, have been widely used in seismological a seismic wavefield (i.e., strain), there is a need to develop a studies. These dense arrays have very close station spacings fundamental theoretical framework to cope with this new data ranging from several meters to hundreds of meters to record type. The high spatial resolution and broadband nature of DAS well-sampled and unaliased wavefields in local or regional furthermore allows for new data analysis methods or the adap- settings. Data acquired by such dense systems promote the tation of existing Large-N methods to this new data type. This development of new array-based analysis methods to mine session will span a wide range of topics related to fiber-optic seismic wavefields and greatly improve our understanding of sensing methods in seismology and geophysics, including but fine-scale subsurface properties, microseismic activities and not limited to: advancements in optical engineering; devel- earthquake rupture processes. In this session, we invite con- opments in theoretical and methodological aspects of fiber- tributions from areas that are broadly related to ultra-dense optic sensing; case studies from ongoing fiber-optic sensing arrays. Example topics include, but are not limited to, novel experiments worldwide; comparisons between non-inertial instrument development, new field experiments with nodal or and inertial instruments; and insights gained from fiber-optic DAS arrays, high-resolution imaging of subsurface structure, sensing measurements in the context of other types of seismo- environmental seismology, microseismic detection/reloca- logical/geophysical datasets. tion, source characterization and related big data processing We invite contributions from research related to all techniques. aspects of photon-based sensing. Conveners: Marianne S. Karplus, University of Texas at Conveners: Nathaniel J. Lindsey, University of California, El Paso ([email protected]); Nori Nakata, Massachusetts Berkeley ([email protected]); Patrick Paitz, ETH Institute of Technology ([email protected]); Xiangfang Zeng, Zurich ([email protected]); Verónica Rodríguez Chinese Academy of Sciences ([email protected]); Xiaobo Tribaldos, Lawrence Berkeley National Laboratory (vrodri- Tian, Chinese Academy of Sciences ([email protected]) [email protected]) Regional Earthquake Centers: Recent Advances in Very Broadband Highlights and Challenges Seismology This session highlights the unique observations, opportunities Observational seismology is fundamentally limited by our and challenges of regional seismic operation centers. Regional ability to record seismic signals across a very large bandwidth. seismic operation centers play an important role in monitor- The sensitivity of modern seismic instrumentation to non- ing for natural earthquakes and other phenomena, including seismic noise sources as well as other undesirable signals can induced seismicity. They also play an important role in advanc- limit our ability to record seismic events with high fidelity. The ing scientific study, especially as it relates to local and regional purpose of this session is to communicate recent advances in seismic hazard and the generation of high-quality seismic data seismic instrumentation and deployment methods, as well as and data products, such as earthquake catalogs. Regional seis- observations that highlight the heavy demands on instrumen- mic operation centers are also important for communicating tation of very broadband seismology. Abstracts that highlight hazard and risk to a wide variety of stakeholders, including recent advances, techniques or methods for seismic instru- researchers, emergency management agencies, policy makers, mentation, seismic network advances or advances in earth- educators, regulators and the general public. Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1111 The purpose of the session is to foster collaboration and Survey ([email protected]); Austin J. Elliott, U.S. Geological to communicate advances and challenges of monitoring at Survey ([email protected]) a regional scale. We welcome a wide range of contributions spanning science, operations and/or stakeholder engage- Science Gateways and Computational ment. Topics of interest include integrating new technological Tools for Improving Earthquake advances in data acquisition and processing; data policies and Research data sharing; interactions with stakeholders; and novel educa- tion and outreach initiatives. Other topics that highlight cur- Science gateways allow research communities to access shared rent advances and challenges for regional earthquake opera- data, software, computing services, instruments, educational tion centers are also of interest. We encourage submissions materials and other resources. Advances in earthquake sci- from both large and small regional seismic networks. If you ence are becoming increasingly tied to the ability to fuse and work with real-time data for regional seismic monitoring, we model multiple data types, requiring advances in computa- encourage you to submit an abstract. tional infrastructure. Earthquake scientists must rely on com- Conveners: Kristine L. Pankow, University of Utah putational laboratories to integrate disparate data sets and per- ([email protected]); Renate Hartog, University of form simulation experiments, particularly because earthquake Washington ([email protected]); Mairi Litherland, New processes span multiple spatial and temporal scales, ranging Mexico Bureau of Geology and Mineral Resources (mairi.lith- from microscopic, millisecond source physics to long-term, [email protected]); Jeri Ben-Horin, Arizona Geological Survey global tectonic scales, earthquakes. This session focuses on ([email protected]) identifying best technologies and management strategies of science gateways for facilitating data access and science Research, Discovery and Education analysis through user interfaces, middleware and commu- Made Possible by Low-Cost Seismic nity networking capabilities. Abstracts discussing advances in Equipment computational infrastructure and data synthesis for enhanc- ing earthquake science, including software, supercomputing, In the past three years, low-cost seismic devices have become simulation models, sensor technology, heterogeneous data very popular among citizen scientists and academic research- sets, cloud computing, management of huge data volumes ers alike. The amateur seismological network (AM) has and development of community standards are encouraged. expanded to become one of the largest online seismic networks Abstracts identifying management strategies and recommen- at ~1000 online nodes in ~100 countries and continues to dations for analytics software to provide a feedback loop for expand at a rate of 1-2 nodes per day. The potential has become making science gateways useful are also encouraged. increasingly apparent for academic seismologists and network Conveners: Andrea Donnellan, Jet Propulsion Laboratory, operators to leverage data collected and shared from stations Caltech ([email protected]); Lisa Grant Ludwig, maintained by citizen scientists, educators and students. The University of California, Irvine ([email protected]) network has tracked numerous seismic events, from hyperlocal to teleseismic and boasts high station density in locations that Seismic Imaging of Fault Zones are typically regarded as lower priority for an expensive broad- band installation. Presently, the AM network finds location Material and geometrical properties of the subsurface strongly and magnitude solutions for more than 50,000 earthquakes per influence fault-zone dynamics, but are impossible to observe year, many of which are too small or local to be identified by directly. Elastic waves produced by earthquakes, man-made other networks. Low-cost seismic devices—and the AM net- energy sources and environmental disturbances, however, offer work as a whole—have great value not only to seismological diverse signals which can be used to constrain these proper- and geophysical research and network densification, but to ties. Imaging fault-zone structures using these signals requires education, science communication, structural health monitor- techniques as diverse as the signals themselves and the geome- ing and emergency response applications as well. tries of observing networks. Robustly interpreting the resulting This session welcomes contributions from a broad range images challenges seismologists, but also presents information of subjects including but not limited to: earthquake and after- that will help unravel the physics behind hazardous ruptures. shock studies, volcano monitoring, cryospheric research, In this session, we welcome all contributions pertaining to coastal studies, structural monitoring, educational programs, seismic imaging of fault zones––especially new and improved public safety and various other societal benefits made possible techniques, case studies and multi-disciplinary surveys. by low-cost seismic devices. Conveners: Malcolm C. A. White, University of Southern Conveners: Ian M. Nesbitt, OSOP Raspberry Shake (ian. California ([email protected]); Hongjian Fang, [email protected]); Emily Wolin, U.S. Geological Massachusetts Institute of Technology ([email protected]) 1112 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Seismicity and Tectonics of Stable namigenic processes. Advances in high-performance comput- Continental Interiors ing have eased the burden of running detailed and time-sensi- tive models, allowing for a richer view of seismic and tsunami Perhaps the least understood seismicity and tectonic deforma- source processes. Widespread attention, related to recent sur- tion is that in stable continental interiors far removed from prising earthquake and tsunami events, has increased capacity active plate boundaries. Areas of interest include central and for studying an ever-expanding catalogue of faults and the cas- eastern North America, northern Europe, Australia and parts cading hazards that can result from their failure. Nevertheless, of Asia. New understandings of intraplate tectonic activity and hazards from off-megathrust faults are currently underrepre- corresponding seismicity have been made through a variety sented in traditional tsunami hazard assessments. of approaches such as increased completeness of earthquake This session invites papers which aim to improve our lim- catalogs from local or national-scale monitoring efforts like ited understanding of the tsunamigenic impact beyond the USARRAY, from new methods of identifying smaller earth- shallow megathrust interface. Specifically, this session hopes quakes from existing data, through analyses of data sets that to solicit studies using a broad range of geophysical, geological image subsurface faults, through studies that constrain his- and oceanographic techniques to characterize non-traditional torical slip on such faults, from examinations of geodetic, geo- tsunamigenic processes, as well as estimate the risks imposed morphologic and elevation changes, and through improved in terms of areal extent of impacts to populations and the built measurements of local stresses. Complementing these environment. approaches are studies that show that the lower attenuation of Conveners: Amy L. Williamson, University of Oregon ground motions and strong site responses in continental inte- ([email protected]); Tiegan Hobbs, Natural Resources rior regions result in earthquakes having greater impacts than Canada ([email protected]); Valerie Sahakian, those at plate boundaries. University of Oregon ([email protected]) This session seeks diverse contributions related to intra- plate earthquake hazards with goals of describing seismicity, Waveform Cross-Correlation-Based characterizing active faults and/or deformation in stable con- Methods in Observational Seismology tinental interiors, learning the long-term earthquake histories, assessing potential ground motion impacts, applying lessons Recent developments in observational seismology rely heav- learned from induced earthquakes and understanding the ily on the mining of increasingly large datasets through wave- mechanisms that cause enigmatic intraplate earthquakes. form cross-correlation-based techniques to improve signal to Conveners: Anjana K. Shah, U.S. Geological Survey noise ratios and extract useful information from continuous ([email protected]); Christine Powell, University of Memphis seismograms. These include obtaining accurate differential ([email protected]); Will Levandowski, TetraTech (will. arrival times with waveform correlation analysis for accurate [email protected]); Martin Chapman, Virginia earthquake relocation and 3D seismic tomography, detecting Tech ([email protected]); Maurice Lamontagne, Geological Survey low-magnitude events using array-based waveform matching, of Canada ([email protected]) extracting empirical Green’s functions (e.g., surface and body waves) from cross-correlation of continuous ambient noise Understanding Non-Traditional Seismic waveform and creating virtual sources or receivers from cross- Tsunami Hazards correlating earthquake coda waveforms. In this session, we welcome both methodologically and observationally focused Despite its intraplate and strike-slip source mechanism, the contributions that utilize correlation-based methods to detect 2018 Palu earthquake had a large role in generating a deadly repeating earthquakes near creeping faults and volcanoes, regional-scaled tsunami with run-up field measurements in relocate microearthquakes and low-frequency earthquakes excess of 4 m. In the and the Georgia Strait near around seismically active regions and image subsurface struc- , Washington, USA and Vancouver, British Columbia, tures and monitor their temporal changes with ambient noise Canada, paleoseismic investigations have begun to unearth and earthquake coda correlation techniques. We hope to pro- shallow crustal faults which may be capable of generating vide a platform for discussing how to efficiently apply correla- locally damaging tsunami. Splay faults branching from the tion-based methods to ultra-dense arrays and long-duration megathrust, normal faults in the outer rise, thrust faults in the continuous waveforms to better extract useful seismic events accretionary wedge, strike slip events in plate interiors and and image subsurface structures. seismic ground motion induced landsliding are all capable Conveners: Zhigang Peng, Georgia Institute of Technology of generating tsunamis. Historically, however, the majority of ([email protected]); Esteban J. Chaves, Volcanological tsunami modeling has focused exclusively on the shallow sub- and Seismological Observatory of Costa Rica, Universidad duction interface. This can largely be attributed to past limits Nacional ([email protected]); Marine Denolle, in computational power and our epistemic uncertainty in tsu- Harvard University ([email protected]); William Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1113 Frank, University of Southern California ([email protected]); Conveners: Susan E. Hough, U.S. Geological Survey Taka’aki Taira, Berkeley Seismology Laboratory, University of ([email protected]); Maurice Lamontagne, Geological Survey California, Berkeley ([email protected]); Haijiang Zhang, of Canada ([email protected]); Timothy University of Science and Technology of China (zhang11@ Dawson, California Geological Survey (timothy.dawson@con- ustc.edu.cn) servation.ca.gov)

Weathering the Earthquake Storms: What Can We Infer About the Crisis Communication Following Major Earthquake Source Through Analyses Events of Strong Ground Motion?

Earthquake scientists face increasing demand to spring into Because the earthquake source cannot be directly observed, we action following significant earthquakes, not only with sci- rely on multiple analyses to infer knowledge of the parameters entific response, but also as communicators. The demand for used to describe an earthquake. In this session we would invite information, from media, partners and other stakeholders, can presentations that describe methods and results for inferring be overwhelming. Opportunities abound, not only to provide the properties of the earthquake source, such as, rupture veloc- critically important information, but also for potential mis- ity, fracture energy, stress drop (stress parameter), slip-rate steps, in particular when a local population is traumatized by functions, critical slip weakening distance, friction, scaling the earthquake(s) they have experienced. Earthquake profes- laws, duration, moment rate, spatial heterogeneity, directivity, sionals who have weathered local earthquake storms in recent etc. We encourage presentations that discuss uncertainties in years have learned important lessons about effective crisis the inferred parameters. We look forward to presentations that communication. For this session, we welcome contributions link earthquake simulations, both kinematic and dynamic, to from individuals with first-hand experience with crisis com- generation of near-source ground motions. In particular, anal- munication, as well as contributions focusing on evidence- ysis of near-source data sets using inversion, arrays or other based investigations of crisis communication and contribu- novel methods are most welcome. tions about best practices for “peace time” communication Conveners: Ralph J. Archuleta, University of California, that can pave the wave for effective “war time” communica- Santa Barbara ([email protected]); Greg Beroza, tion. We also welcome contributions that focus on operational Stanford University ([email protected]); Massimo aftershock focusing and issues associated with the communi- Cocco, Istituto Nazionale di Geofisica e Vulcanologia (mas- cation of forecasts and their uncertainties to stakeholders and [email protected]); Joe Fletcher, U.S. Geological Survey the public. ([email protected])

1114 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1115 Technical Sessions, 1116

Overview of Technical Program

ORAL SESSIONS

Tuesday, 28 April

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Rooms 215 + 220 Rooms 230 + 235 Room 240 8:30–9:45 am Near-Surface InSight Applications and Back to Crustal Stress Effects: Advances Seismology on Technologies the Future: and Strain and in Site Response Mars: Results in Large-Scale Innovative New Implications for Estimation and from the First Seismic Analysis Research with Fault Interaction Its Applications (Earth) Year Legacy Seismic and Slip of Data and Data Prospects for the Future 9:45-10:45 am Posters and Break (Ballroom) 10:45 am– Near-Surface InSight Applications and Weathering Forthcoming Crustal Stress Noon Effects: Advances Seismology on Technologies the Earthquake Updates of and Strain and in Site Response Mars: Results in Large-Scale Storms: Crisis the USGS Implications for Estimation and from the First Seismic Analysis Communication NSHMs: Hawaii, Fault Interaction Its Applications (Earth) Year (continued) Following Major Conterminous and Slip (continued) of Data and Events U.S. and Alaska (continued) Prospects for the Future (continued) Noon–1 pm Luncheon, Open to All Attendees (Hall Three) Noon–1 pm Mentoring Luncheon, RSVP Required (Hall Three) 1:15–2:15 pm SSA Awards Ceremony (Kiva Auditorium) 2:30–3:45 pm Near-Surface Observations Understanding Regional Forthcoming Cryptic Faults: Effects: Advances from the 2019 Non-Traditional Earthquake Updates of Assessing in Site Response Ridgecrest Seismic Tsunami Centers: the USGS Seismic Hazard Estimation and Earthquake Hazards Highlights and NSHMs: Hawaii, on Slow Slipping, Its Applications Sequence Challenges Conterminous Blind or (continued) U.S. and Alaska Distributed Fault (continued) Systems 3:45-4:30 pm Posters and Break (Ballroom) 4:30–5:45 pm Near-Surface Observations Understanding Regional Forthcoming Cryptic Faults: Effects: Advances from the 2019 Non-Traditional Earthquake Updates of Assessing in Site Response Ridgecrest Seismic Tsunami Centers: the USGS Seismic Hazard Estimation and Earthquake Hazards Highlights and NSHMs: Hawaii, on Slow Its Applications Sequence (continued) Challenges Conterminous Slipping, Blind (continued) (continued) (continued) U.S. and Alaska or Distributed (continued) Fault Systems (continued) 5:45–6:30 pm Posters and Break (Ballroom) 6:30–7:30 pm Lightning Talks (Kiva Auditorium) 7:30–8:30 pm Early-Career and Student Reception (Ballroom B)

1116 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Wednesday, 29 April

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Rooms 215 + 220 Rooms 230 + 235 Room 240 8:30–9:45 am Environmental Earthquake Advances in Mechanisms Numerical Explosion and Near Surface Early Warning: Seismic Imaging of Induced Modeling Seismology Seismology: Current Status of Earth’s Mantle Seismicity: of Rupture Advances From Glaciers and Latest and Core and Pressure Dynamics, and Rivers to Innovations Implications Diffusion, Elastic Earthquake Engineered for Convective Stressing and Ground Motion Structures and Processes Aseismic Slip and Seismic Beyond Noise 9:45-10:45 am Posters and Break (Ballroom) 10:45 am– Environmental Earthquake Advances in Mechanisms Numerical Explosion Noon and Near Surface Early Warning: Seismic Imaging of Induced Modeling Seismology Seismology: Current Status of Earth’s Mantle Seismicity: of Rupture Advances From Glaciers and Latest and Core and Pressure Dynamics, (continued) and Rivers to Innovations Implications Diffusion, Elastic Earthquake Engineered (continued) for Convective Stressing and Ground Structures Processes Aseismic Slip Motion and and Beyond (continued) (continued) Seismic Noise (continued) (continued) Noon–1 pm Luncheon, Open to All Attendees (Hall Three) Noon–1 pm Women in Seismology Luncheon, RSVP Required (Hall Three) 1:15–2:15 pm Public Policy Address (Kiva Auditorium) 2:30–3:45 pm Exploring What Can We Full-Waveform Seismic Imaging Numerical Explosion Rupture Infer About Inversion: of Fault Zones Modeling Seismology Dynamics and the Earthquake Recent Advances of Rupture Advances Seismic Wave Source Through and Applications Dynamics, (continued) Propagation Analyses of Earthquake Along Complex Strong Ground Ground Fault Systems Motion? Motion and Seismic Noise (continued) 3:45-4:30 pm Posters and Break (Ballroom) 4:30–5:45 pm Exploring What Can We Amphibious Advances in From Aseismic Innovative Rupture Infer About Seismic Upper Crustal Deformation Seismo-Acoustic Dynamics and the Earthquake Studies of Plate Geophysical to Seismic Applications Seismic Wave Source Through Boundary Characterization Transient to Forensics Propagation Analyses of Structure and Detection, and Novel Along Complex Strong Ground Processes Location and Monitoring Fault Systems Motion? Characterization Problems (continued) (continued) 5:45–6:15 pm Posters and Break (Ballroom) 6:15–7:15 pm Joyner Lecture (Kiva Auditorium) 7:15–8:45 pm Joyner Reception (Outdoor Plaza) 8:00–9:30 pm SIG: Seismic Tomography 2020: What Comes Next? (Room 215 + 220) 8:00–9:30 pm SIG: SOS: Save Our Seismograms! (Room 230 + 235)

Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1117 Thursday, 30 April

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Rooms 215 + 220 Rooms 230 + 235 Room 240 8:30–9:45 am Data Fusion Early Results Earthquake Photonic Waveform Seismicity and Uncertainty from the 2020 Source Seismology Cross- and Tectonics Quantification in M6.4 Indios, Parameters: Correlation- of Stable Near-Surface Site Puerto Rico Theory, Based Methods Continental Characterization Earthquake Observations and in Observational Interiors Sequence Interpretations Seismology 9:45–10:45 am Posters and Break (Ballroom) 10:45 am– Early Results Earthquake Recent Advances Seismicity Noon from the 2020 Source Advances in in Seismic and Tectonics M6.4 Indios, Parameters: Very Broadband Interferometry: of Stable Puerto Rico Theory, Seismology Theory, Continental Earthquake Observations and Computation Interiors Sequence Interpretations and Applications (continued) (continued) (continued) Noon–1:15 pm Luncheon (Hall Three) 1:30–2:45 pm Recent Early Results Earthquake Alpine- Advances in Seismicity Development from the 2020 Source Himalayan Real-Time GNSS and Tectonics in Ultra-Dense M6.4 Indios, Parameters: Alpide Shallow Data Analysis of Stable Seismic Arrays Puerto Rico Theory, Earthquakes and Network Continental with Nodes and Earthquake Observations and and the Current Operations Interiors Distributed Sequence Interpretations and the for Hazards (continued) Acoustic Sensing (continued) (continued) Future Hazard Monitoring (DAS) Assessments 2:45-3:45 pm Posters and Break (Ballroom) 3:45–5:00 pm Recent Leveraging Development Advanced in Ultra-Dense Detection, Seismic Arrays Association with Nodes and and Source Distributed Characterization Acoustic in Network Sensing (DAS) Seismology (continued)

1118 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 POSTER SESSIONS • Explosion Seismology Advances • Full-Waveform Inversion: Recent Advances and Tuesday, 28 April Applications • Advances in Real-Time GNSS Data Analysis and Network • Mechanisms of Induced Seismicity: Pressure Diffusion, Operations for Hazards Monitoring Elastic Stressing and Aseismic Slip • Applications and Technologies in Large-Scale Seismic • Numerical Modeling of Rupture Dynamics, Earthquake Analysis Ground Motion and Seismic Noise • Back to the Future: Innovative New Research with Legacy • Seismic Imaging of Fault Zones Seismic Data • What Can We Infer About the Earthquake Source • Crustal Stress and Strain and Implications for Fault Through Analyses of Strong Ground Motion? Interaction and Slip • Cryptic Faults: Assessing Seismic Hazard on Slow Thursday, 30 April Slipping, Blind or Distributed Fault Systems • Advances in Real-Time GNSS Data Analysis and Network • Forthcoming Updates of the USGS NSHMs: Hawaii, Operations for Hazards Monitoring Conterminous U.S. and Alaska • Advances in Seismic Interferometry: Theory, Computation • InSight Seismology on Mars: Results from the First and Applications (Earth) Year of Data and Prospects for the Future • Alpine-Himalayan Alpide Shallow Earthquakes and the • Near-Surface Effects: Advances in Site Response Current and the Future Hazard Assessments Estimation and Its Applications • Data Fusion and Uncertainty Quantification in Near • Observations from the 2019 Ridgecrest Earthquake Surface Site Characterization Sequence • Early Results from the 2020 M6.4 Indios, Puerto Rico • Regional Earthquake Centers: Highlights and Challenges Earthquake Sequence • Understanding Non-Traditional Seismic Tsunami • Earthquake Ground Motion and Impacts Hazards • Earthquake Source Parameters: Theory, Observations and • Weathering the Earthquake Storms: Crisis Interpretations Communication Following Major Events • Late-Breaking Earthquakes • Leveraging Advanced Detection, Association and Source Wednesday, 29 April Characterization in Network Seismology • Advances in Seismic Imaging of Earth’s Mantle and Core • Ocean Bottom Seismology—New Data, New Sensors, and Implications for Convective Processes New Methods • Advances in Upper Crustal Geophysical Characterization • Photonic Seismology • Amphibious Seismic Studies of Plate Boundary Structure • Recent Advances in Very Broadband Seismology and Processes • Recent Development in Ultra-Dense Seismic Arrays with • Earthquake Early Warning: Current Status and Latest Nodes and Distributed Acoustic Sensing (DAS) Innovations • Research, Discovery and Education Made Possible by • Environmental and Near Surface Seismology: From Low-Cost Seismic Equipment Glaciers and Rivers to Engineered Structures and Beyond • Science Gateways and Computational Tools for Improving • From Aseismic Deformation to Seismic Transient Earthquake Research Detection, Location and Characterization • Seismicity and Tectonics of Stable Continental Interiors • Innovative Seismo-Acoustic Applications to Forensics • Waveform Cross-Correlation-Based Methods in and Novel Monitoring Problems Observational Seismology • Exploring Rupture Dynamics and Seismic Wave Propagation Along Complex Fault Systems

Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1119 Program for 2020 SSA Annual Meeting

Presenting author is indicated in bold.

Tuesday, 28 April—Oral Sessions

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Near-Surface Effects: Advances in InSight Seismology on Mars: Applications and Technologies in Back to the Future: Innovative New Crustal Stress and Strain and Site Response Estimation and Its Results from the First (Earth) Large-Scale Seismic Analysis (see Research with Legacy Seismic Data Implications for Fault Interaction Applications (see page 1267). Year of Data and Prospects for the page 1178). (see page 1181). and Slip (see page 1184). Future (see page 1252). 8:30 am Seismic Structure Beneath Results from the InSight Mission MsPASS: A Parallel Processing 8:30 am Student: CHIMP: A 162 Earthquake Nucleation and Global Los Angeles from the BASIN After a Year and a Half on Mars. Framework for Seismology. Wang, Year Dataset of Consistently Induced Stress Field by Precedent Experiment. Persaud, P., Clayton, Banerdt, W. B., Smrekar, S. E., Y., Pavlis, G. Reinterpreted Seismic Intensities Large Earthquakes Since 1900. R. W., Ghose, R., Li, Y., Wang, X., Lognonné, P., Giardini, D., Pike, W. in California and Implications for Hong, T., Lee, J. Denolle, M. A., Polet, J., et al. T., et al. Hazard Assessment. Salditch, L., Gallahue, M. M., Hough, S. E., Stein, S., Lucas, M. C., et al. 8:45 am Estimating Site Velocity 18 Months of Mars Seismic Invited: Student: Seismology 8:45 am 1906 Revisited: Analyses of Shaking Student: Variations of Stress Characteristics for Strong Motion Monitoring with SEIS: First in the Cloud: Prospects and and Ground Failure. Wald, D. J., Parameters in the Southern Stations in Anchorage, Alaska. Constraints on the Interior Structure Applications. Clements, T. Allstadt, K. E., Thompson, E. M., California Plate Boundary Around Thornley, J., Douglass, J., Dutta, U., of the Crust and Interaction of Mars Knudsen, K. L., Schmitt, R. G. the South Central Transverse Ranges. Yang, J. Interior and Surface with Mars Abolfathian, N., Martínez-Garzón, Atmosphere. Lognonné, P., Banerdt, P., Ben-Zion, Y. W. B., Giardini, D., Pike, W. T., Beucler, E., et al. 9:00 am Student: A Taxonomy for Site Seismicity of Mars. Giardini, D., Student: Expanding Accessibility 9:00 am The Importance, Challenges and Student: What Controls Variations Complexity Using the HVSR: Lognonné, P., Banerdt, W. B., Böse, and Scalability of Ambient Noise Applications of Old Seismic Data for in Aftershock Productivity? Application to the KiK-Net Database. M., Ceylan, S., et al. Seismic Data Processing Tools Modern Seismic Hazard Analysis. Dascher-Cousineau, K., Brodsky, E. Pontrelli, M. A., Baise, L. G., Through an Open-Source Cloud- Cassidy, J. F., Bent, A. L. E., Lay, T., Goebel, T. H. W. Kaklamanos, J. Based Software Application. Sukianto, T., Mikesell, T. D., Clements, T., Denolle, M. A. 9:15 am Student: An H/V Geostatistical First Receiver Functions on Mars – Invited: Student: Reducing the 9:15 am New InSights into Fluid Injections Invited: Student: Combining Approach to Account for Spatial Constraints on the Martian Crust Time to Science of Ambient Noise and Induced Microseismicity from Seismological Inferences to Variability in 1D Seismic Site from InSight. Knapmeyer-Endrun, Tomography with ANXCOR and Legacy Data. House, L., Fehler, M., Constrain Physical Conditions Response. Hallal, M. M., Cox, B. R. B., Bissig, F., Compaire, N., Joshi, R., Kubernetes. Mendoza, K. A., Baker, Rodi, W. L., Phillips, W. S., Roberts, Surrounding the Low Stress, Low Garcia, R., et al. B. P. M. Heat Operation of Mature Faults. Lambert, V., Lapusta, N. 9:30 am Empirical Horizontal Site Analyzing the Martian Near-Surface Interactive Large-Scale Seismic Noise 9:30 am Student: Seismic Signals from Synthetic Seismicity in New Zealand. Amplification Factor (HSAF) from and HP3 Mole Condition with Analysis in the Cloud Using Xarray, Sandia National Laboratory’s Z Fry, B., Nicol, A., Gerstenberger, M., Observed Earthquake Horizontal-to- Seismic Data at the InSight Landing Dask and Zarr. MacCarthy, J. K., Machine and Time-Dependent Williams, C., Shaw, B. E., et al. Vertical Ratio (EHVR) and Vertical Site. Schmelzbach, C., Brinkman, Marcillo, O. E. Velocities in the Albuquerque Basin. Amplification Correction Function N., Sollberger, D., Kedar, S., Grott, Stairs, R. K., Schmandt, B. (VACF). Ito, E., Kawase, H., Nakano, M., et al. K. 9:45–10:45 9:45–10:45 Posters and Break (Ballroom) Posters and Break (Ballroom) am am 1120 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Program for 2020 SSA Annual Meeting

Presenting author is indicated in bold.

Tuesday, 28 April—Oral Sessions

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Near-Surface Effects: Advances in InSight Seismology on Mars: Applications and Technologies in Back to the Future: Innovative New Crustal Stress and Strain and Site Response Estimation and Its Results from the First (Earth) Large-Scale Seismic Analysis (see Research with Legacy Seismic Data Implications for Fault Interaction Applications (see page 1267). Year of Data and Prospects for the page 1178). (see page 1181). and Slip (see page 1184). Future (see page 1252). 8:30 am Seismic Structure Beneath Results from the InSight Mission MsPASS: A Parallel Processing 8:30 am Student: CHIMP: A 162 Earthquake Nucleation and Global Los Angeles from the BASIN After a Year and a Half on Mars. Framework for Seismology. Wang, Year Dataset of Consistently Induced Stress Field by Precedent Experiment. Persaud, P., Clayton, Banerdt, W. B., Smrekar, S. E., Y., Pavlis, G. Reinterpreted Seismic Intensities Large Earthquakes Since 1900. R. W., Ghose, R., Li, Y., Wang, X., Lognonné, P., Giardini, D., Pike, W. in California and Implications for Hong, T., Lee, J. Denolle, M. A., Polet, J., et al. T., et al. Hazard Assessment. Salditch, L., Gallahue, M. M., Hough, S. E., Stein, S., Lucas, M. C., et al. 8:45 am Estimating Site Velocity 18 Months of Mars Seismic Invited: Student: Seismology 8:45 am 1906 Revisited: Analyses of Shaking Student: Variations of Stress Characteristics for Strong Motion Monitoring with SEIS: First in the Cloud: Prospects and and Ground Failure. Wald, D. J., Parameters in the Southern Stations in Anchorage, Alaska. Constraints on the Interior Structure Applications. Clements, T. Allstadt, K. E., Thompson, E. M., California Plate Boundary Around Thornley, J., Douglass, J., Dutta, U., of the Crust and Interaction of Mars Knudsen, K. L., Schmitt, R. G. the South Central Transverse Ranges. Yang, J. Interior and Surface with Mars Abolfathian, N., Martínez-Garzón, Atmosphere. Lognonné, P., Banerdt, P., Ben-Zion, Y. W. B., Giardini, D., Pike, W. T., Beucler, E., et al. 9:00 am Student: A Taxonomy for Site Seismicity of Mars. Giardini, D., Student: Expanding Accessibility 9:00 am The Importance, Challenges and Student: What Controls Variations Complexity Using the HVSR: Lognonné, P., Banerdt, W. B., Böse, and Scalability of Ambient Noise Applications of Old Seismic Data for in Aftershock Productivity? Application to the KiK-Net Database. M., Ceylan, S., et al. Seismic Data Processing Tools Modern Seismic Hazard Analysis. Dascher-Cousineau, K., Brodsky, E. Pontrelli, M. A., Baise, L. G., Through an Open-Source Cloud- Cassidy, J. F., Bent, A. L. E., Lay, T., Goebel, T. H. W. Kaklamanos, J. Based Software Application. Sukianto, T., Mikesell, T. D., Clements, T., Denolle, M. A. 9:15 am Student: An H/V Geostatistical First Receiver Functions on Mars – Invited: Student: Reducing the 9:15 am New InSights into Fluid Injections Invited: Student: Combining Approach to Account for Spatial Constraints on the Martian Crust Time to Science of Ambient Noise and Induced Microseismicity from Seismological Inferences to Variability in 1D Seismic Site from InSight. Knapmeyer-Endrun, Tomography with ANXCOR and Legacy Data. House, L., Fehler, M., Constrain Physical Conditions Response. Hallal, M. M., Cox, B. R. B., Bissig, F., Compaire, N., Joshi, R., Kubernetes. Mendoza, K. A., Baker, Rodi, W. L., Phillips, W. S., Roberts, Surrounding the Low Stress, Low Garcia, R., et al. B. P. M. Heat Operation of Mature Faults. Lambert, V., Lapusta, N. 9:30 am Empirical Horizontal Site Analyzing the Martian Near-Surface Interactive Large-Scale Seismic Noise 9:30 am Student: Seismic Signals from Synthetic Seismicity in New Zealand. Amplification Factor (HSAF) from and HP3 Mole Condition with Analysis in the Cloud Using Xarray, Sandia National Laboratory’s Z Fry, B., Nicol, A., Gerstenberger, M., Observed Earthquake Horizontal-to- Seismic Data at the InSight Landing Dask and Zarr. MacCarthy, J. K., Machine and Time-Dependent Williams, C., Shaw, B. E., et al. Vertical Ratio (EHVR) and Vertical Site. Schmelzbach, C., Brinkman, Marcillo, O. E. Velocities in the Albuquerque Basin. Amplification Correction Function N., Sollberger, D., Kedar, S., Grott, Stairs, R. K., Schmandt, B. (VACF). Ito, E., Kawase, H., Nakano, M., et al. K. 9:45–10:45 9:45–10:45 Posters and Break (Ballroom) Posters and Break (Ballroom) am am Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1121 Tuesday, 28 April (continued)

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Near-Surface Effects: Advances in InSight Seismology on Mars: Applications and Technologies Weathering the Earthquake Storms: Forthcoming Updates of the USGS Crustal Stress and Strain and Site Response Estimation and Its Results from the First (Earth) in Large-Scale Seismic Analysis Crisis Communication Following NSHMs: Hawaii, Conterminous Implications for Fault Interaction Applications (continued). Year of Data and Prospects for the (continued). Major Events (see page 1327). U.S. and Alaska (see page 1233). and Slip (continued). Future (continued). 10:45 am Ground-Motion Site Response and Student: Searching for Seismic Building Seismo-Acoustic Pipelines 10:45 am Taking the Hazard Out of Hazard Finalizing the 2020 National Seismic Scales of Stress Heterogeneity Near New Physics-Based Site Correction Sources Around the InSight Landing with SAPL. Heck, S. L., Young, C. Communication. Bartel, B., Bohon, Hazard Model for Hawaii. Petersen, Active Faults in the Santa Barbara Factors for Design Response Site: Focus on Sol 173 and 235 W., Stovall, W. M. D., Shumway, A. M., Powers, P. Channel, Southern California. Spectrum. Wang, Z., Carpenter, S., Marsquakes. Jacob, A., Brinkman, M., Mueller, C. S., Moschetti, M. P., Persaud, P., Pritchard, E., Stock, J. Woolery, E. W., Kalinski, M. E. N., Perrin, C., Fuji, N., Stähler, S., et et al. al. 11:00 am Sensitivity of Site Response Analyses Autocorrelation Reflectivity of the Supporting Large-Scale 11:00 am Challenges and Opportunities New Zealand National Seismic Invited: Complexity Breeds to Input Motion Selection: Lessons Martian Interior from InSight Data. Seismological Research. Carter, J. A., for Communication During an Hazard Model 2021 Revision. Complexity: Heterogeneous Stress Learned from Seattle and Boston. Deng, S., Levander, A. Trabant, C., Benson, R., Casey, R., Energetic Aftershock Sequence: The Gerstenberger, M. State Around the Southern Big Bend Kaklamanos, J., Chowdhury, I. N., Sharer, G. 26 November 2019 M6.4 Albanian of the Southern , Cabas, A., Kottke, A. R., Gregor, N. Earthquake. Bossu, R., Landès, M., California. Cooke, M. L., Elston, H., Roussel, F., Roch, J., Fallou, L., et al. Hatch, J. L. 11:15 am Deep Learning for Site Response Today Antarctica, Tomorrow Europa: Using the SCEDC Cloud Archive 11:15 am The California Earthquake Basin Amplification Factors and Antithetic Surface Deformation on Estimation from Geotechnical Array Testing Broadband Seismometers in for Research with Big Data. Yu, E., Clearinghouse – Ridgecrest Probabilistic Seismic Hazard Maps Nearby Faults from the Ridgecrest Data. Roten, D., Olsen, K. B. Icy Earthly Analogs. Hobbs, T. E., Chen, S., Bhaskaran, A., Bhadha, R., Earthquake Sequence July 2019. for Seattle, Washington Based on 3D Earthquakes: Compliant Faults Hughson, K. H. G., Quartini, E. S., Ross, Z., et al. Pridmore, C. L., Thomas, K., Ortiz- Simulations of Subduction-Zone and Zones or Triggered Slip? Xu, X., Schmidt, B. E., Panning, M. P., et al. Millan, M. Crustal Earthquakes. Frankel, A., Ward, L., Smith-Konter, B., Milliner, Wirth, E., Marafi, N. C. W. D., Bock, Y., et al. 11:30 am Student: High-Resolution Site Seismology on Titan: A Seismic Orfeus Services for High-Quality 11:30 am Keeping Up with Public Demand for Updating the U.S. Geological Survey Complex Dynamics of Seismic Response Study of the Los Angeles Signal and Noise Budget in Seismic Waveform Data Access in ANSS Earthquake Information. Fee, National Seismic Hazard Model for Bursts in Southern California: Is Basin from the 2019 Ridgecrest Preparation for Dragonfly.Panning, Pan-Europe. Cauzzi, C., Bieńkowski, J., Martinez, E. Alaska. Powers, P. M., Mueller, C. S., “Radial Localization” a Signature of Earthquake Sequence. Filippitzis, F., M. P., Lorenz, R. D., Shiraishi, H., J., Custódio, S., Evangelidis, C., Haeussler, P., Witter, R., Bender, A. Increasing Regional Tectonic Stress? Kohler, M., Heaton, T., Clayton, R. Yamada, R., Stähler, S., et al. Guéguen, P., Haberland, C., et al. Rundle, J. B. W., Guy, R., et al. 11:45 am Student: Site Response Analyses The Lunar Geophysical Network Flexible Analysis of Earthquake 11:45 am Adventures in Social Seismology: The Need for Alaska-Specific Ground Estimation of Time-Dependent of U.S. Geological Survey Seismic Mission. Weber, R. C., Neal, C., Datasets Using a Modular, High- Empirical Investigations of Human Motion Models for Updating U.S. Strain-Rates with Gaussian Process Stations Deployed After the M6.4 Banerdt, W. B., Beghein, C., Chi, P., Throughput Seismic Processing Behavioral Response in Earthquakes Geological Survey Alaska Seismic Regression. Hetland, E. A., and M7.1 Ridgecrest Earthquakes. et al. System. Safarshahi, M., Morozov, I. Using Data from ‘Did You Feel It?’. Hazard Maps. Cramer, C. H., Jambo, Szymanski, E. D., Hines, T. T. Hudson, K. S., Gospe, T., Yong, A., Goltz, J. D. E. Fletcher, J. B., Cochran, E. S., et al. Noon– Luncheon, Open to All Attendees (Hall Three) Noon– Luncheon, Open to All Attendees (Hall Three) 1:00 pm Mentoring Luncheon, RSVP Required (Hall Three) 1:00 pm Mentoring Luncheon, RSVP Required (Hall Three) 1:15–2:15 1:15–2:15 SSA Awards Ceremony (Kiva Auditorium) SSA Awards Ceremony (Kiva Auditorium) pm pm Near-Surface Effects: Advances in Observations from the 2019 Understanding Non-Traditional Regional Earthquake Centers: Forthcoming Updates of the USGS Cryptic Faults: Assessing Seismic Site Response Estimation and Its Ridgecrest Earthquake Sequence Seismic Tsunami Hazards (see page Highlights and Challenges (see NSHMs: Hawaii, Conterminous Hazard on Slow Slipping, Blind or Applications (continued). (see page 1287). 1319). page 1304). U.S. and Alaska (continued). Distributed Fault Systems (see page 1188). 2:30 pm Student: 2D Numerical Evidence of Previous Late Asteroids Impacting Earth’s Oceans: 2:30 pm Invited: Keeping the Promise of Invited: NGA-Subduction Research The Doty Fault Zone: A Cryptic Investigation on the Effect of Quaternary Faulting Along the 2019 Tsunami Generation, Consequences Earthworm. Aikin, K. E. Project. Bozorgnia, Y., Abrahamson, Fault in Southwest Washington. Random Velocity Perturbations on Ridgecrest Earthquake Ruptures. on Coastlines and Potential Global N. A., Ahdi, S. K., Ancheta, T., Anderson, M. L., Lau, T., von Seismic Ground Motion: Application Jobe, J. A. T., Philibosian, B. E., Climate Effects.Ezzedine, S. M., Archuleta, R. J., et al. Dassow, W., Reedy, T., Sadowski, A., to Site Effect Assessment in the Nice Chupik, C. M., Dawson, T. E., Gold, Oman, L. et al. (France) Sedimentary Basin. Tchawe, R. D., et al. F. N., Gélis, C., Bonilla, L., Rohmer, O., Bertrand, E. 1122 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Near-Surface Effects: Advances in InSight Seismology on Mars: Applications and Technologies Weathering the Earthquake Storms: Forthcoming Updates of the USGS Crustal Stress and Strain and Site Response Estimation and Its Results from the First (Earth) in Large-Scale Seismic Analysis Crisis Communication Following NSHMs: Hawaii, Conterminous Implications for Fault Interaction Applications (continued). Year of Data and Prospects for the (continued). Major Events (see page 1327). U.S. and Alaska (see page 1233). and Slip (continued). Future (continued). 10:45 am Ground-Motion Site Response and Student: Searching for Seismic Building Seismo-Acoustic Pipelines 10:45 am Taking the Hazard Out of Hazard Finalizing the 2020 National Seismic Scales of Stress Heterogeneity Near New Physics-Based Site Correction Sources Around the InSight Landing with SAPL. Heck, S. L., Young, C. Communication. Bartel, B., Bohon, Hazard Model for Hawaii. Petersen, Active Faults in the Santa Barbara Factors for Design Response Site: Focus on Sol 173 and 235 W., Stovall, W. M. D., Shumway, A. M., Powers, P. Channel, Southern California. Spectrum. Wang, Z., Carpenter, S., Marsquakes. Jacob, A., Brinkman, M., Mueller, C. S., Moschetti, M. P., Persaud, P., Pritchard, E., Stock, J. Woolery, E. W., Kalinski, M. E. N., Perrin, C., Fuji, N., Stähler, S., et et al. al. 11:00 am Sensitivity of Site Response Analyses Autocorrelation Reflectivity of the Supporting Large-Scale 11:00 am Challenges and Opportunities New Zealand National Seismic Invited: Complexity Breeds to Input Motion Selection: Lessons Martian Interior from InSight Data. Seismological Research. Carter, J. A., for Communication During an Hazard Model 2021 Revision. Complexity: Heterogeneous Stress Learned from Seattle and Boston. Deng, S., Levander, A. Trabant, C., Benson, R., Casey, R., Energetic Aftershock Sequence: The Gerstenberger, M. State Around the Southern Big Bend Kaklamanos, J., Chowdhury, I. N., Sharer, G. 26 November 2019 M6.4 Albanian of the Southern San Andreas Fault, Cabas, A., Kottke, A. R., Gregor, N. Earthquake. Bossu, R., Landès, M., California. Cooke, M. L., Elston, H., Roussel, F., Roch, J., Fallou, L., et al. Hatch, J. L. 11:15 am Deep Learning for Site Response Today Antarctica, Tomorrow Europa: Using the SCEDC Cloud Archive 11:15 am The California Earthquake Basin Amplification Factors and Antithetic Surface Deformation on Estimation from Geotechnical Array Testing Broadband Seismometers in for Research with Big Data. Yu, E., Clearinghouse – Ridgecrest Probabilistic Seismic Hazard Maps Nearby Faults from the Ridgecrest Data. Roten, D., Olsen, K. B. Icy Earthly Analogs. Hobbs, T. E., Chen, S., Bhaskaran, A., Bhadha, R., Earthquake Sequence July 2019. for Seattle, Washington Based on 3D Earthquakes: Compliant Faults Hughson, K. H. G., Quartini, E. S., Ross, Z., et al. Pridmore, C. L., Thomas, K., Ortiz- Simulations of Subduction-Zone and Zones or Triggered Slip? Xu, X., Schmidt, B. E., Panning, M. P., et al. Millan, M. Crustal Earthquakes. Frankel, A., Ward, L., Smith-Konter, B., Milliner, Wirth, E., Marafi, N. C. W. D., Bock, Y., et al. 11:30 am Student: High-Resolution Site Seismology on Titan: A Seismic Orfeus Services for High-Quality 11:30 am Keeping Up with Public Demand for Updating the U.S. Geological Survey Complex Dynamics of Seismic Response Study of the Los Angeles Signal and Noise Budget in Seismic Waveform Data Access in ANSS Earthquake Information. Fee, National Seismic Hazard Model for Bursts in Southern California: Is Basin from the 2019 Ridgecrest Preparation for Dragonfly.Panning, Pan-Europe. Cauzzi, C., Bieńkowski, J., Martinez, E. Alaska. Powers, P. M., Mueller, C. S., “Radial Localization” a Signature of Earthquake Sequence. Filippitzis, F., M. P., Lorenz, R. D., Shiraishi, H., J., Custódio, S., Evangelidis, C., Haeussler, P., Witter, R., Bender, A. Increasing Regional Tectonic Stress? Kohler, M., Heaton, T., Clayton, R. Yamada, R., Stähler, S., et al. Guéguen, P., Haberland, C., et al. Rundle, J. B. W., Guy, R., et al. 11:45 am Student: Site Response Analyses The Lunar Geophysical Network Flexible Analysis of Earthquake 11:45 am Adventures in Social Seismology: The Need for Alaska-Specific Ground Estimation of Time-Dependent of U.S. Geological Survey Seismic Mission. Weber, R. C., Neal, C., Datasets Using a Modular, High- Empirical Investigations of Human Motion Models for Updating U.S. Strain-Rates with Gaussian Process Stations Deployed After the M6.4 Banerdt, W. B., Beghein, C., Chi, P., Throughput Seismic Processing Behavioral Response in Earthquakes Geological Survey Alaska Seismic Regression. Hetland, E. A., and M7.1 Ridgecrest Earthquakes. et al. System. Safarshahi, M., Morozov, I. Using Data from ‘Did You Feel It?’. Hazard Maps. Cramer, C. H., Jambo, Szymanski, E. D., Hines, T. T. Hudson, K. S., Gospe, T., Yong, A., Goltz, J. D. E. Fletcher, J. B., Cochran, E. S., et al. Noon– Luncheon, Open to All Attendees (Hall Three) Noon– Luncheon, Open to All Attendees (Hall Three) 1:00 pm Mentoring Luncheon, RSVP Required (Hall Three) 1:00 pm Mentoring Luncheon, RSVP Required (Hall Three) 1:15–2:15 1:15–2:15 SSA Awards Ceremony (Kiva Auditorium) SSA Awards Ceremony (Kiva Auditorium) pm pm Near-Surface Effects: Advances in Observations from the 2019 Understanding Non-Traditional Regional Earthquake Centers: Forthcoming Updates of the USGS Cryptic Faults: Assessing Seismic Site Response Estimation and Its Ridgecrest Earthquake Sequence Seismic Tsunami Hazards (see page Highlights and Challenges (see NSHMs: Hawaii, Conterminous Hazard on Slow Slipping, Blind or Applications (continued). (see page 1287). 1319). page 1304). U.S. and Alaska (continued). Distributed Fault Systems (see page 1188). 2:30 pm Student: 2D Numerical Evidence of Previous Late Asteroids Impacting Earth’s Oceans: 2:30 pm Invited: Keeping the Promise of Invited: NGA-Subduction Research The Doty Fault Zone: A Cryptic Investigation on the Effect of Quaternary Faulting Along the 2019 Tsunami Generation, Consequences Earthworm. Aikin, K. E. Project. Bozorgnia, Y., Abrahamson, Fault in Southwest Washington. Random Velocity Perturbations on Ridgecrest Earthquake Ruptures. on Coastlines and Potential Global N. A., Ahdi, S. K., Ancheta, T., Anderson, M. L., Lau, T., von Seismic Ground Motion: Application Jobe, J. A. T., Philibosian, B. E., Climate Effects.Ezzedine, S. M., Archuleta, R. J., et al. Dassow, W., Reedy, T., Sadowski, A., to Site Effect Assessment in the Nice Chupik, C. M., Dawson, T. E., Gold, Oman, L. et al. (France) Sedimentary Basin. Tchawe, R. D., et al. F. N., Gélis, C., Bonilla, L., Rohmer, O., Bertrand, E. Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1123 Tuesday, 28 April (continued)

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Near-Surface Effects… Observations from the 2019… Understanding Non-Traditional… Regional Earthquake Centers… Forthcoming Updates of the… Cryptic Faults… 2:45 pm Invited: A Simulation Platform SAR Imaging of the Coseismic and Forecasting the Impact of Tsunamis 2:45 pm Modeling Seismic Network Evolution of Ground-Motion Student: Quaternary Deformation to Quantify the Effects of Spatial Postseismic Deformation from the from the Alaska-Aleutian Detection Thresholds Using Prediction Equations Developments in the Zone: Insights Variability in Site Response for 2019 M7.1 and M6.4 Ridgecrest Subduction Zone in Southern Production Picking Algorithms. Based on Graizer-Kalkan Modular from High-Resolution Marine PSHA. Asimaki, D., Ayoubi, P., Earthquakes in California. Fielding, California Under Rising Sea Levels. Wilson, D., Ringler, A. T., Wolin, E., Filter-Based Approach. Graizer, V. Geophysical Data. Moore, G. L., Kusanovic, D. S., Kottke, A. R. E. J., Stephenson, O., Zhong, M., Dura, T., Garner, A., Weiss, R., Anthony, R. E., Yeck, W. Roland, E., Bennett, S. E. K., Watt, J., Sangha, S. S., Liang, C., et al. Kopp, R., Engelhart, S., et al. Kluesner, J., et al. 3:00 pm Quantifying Seismic Amplification Invited: Crustal Deformation Invited: California Reviews Non- 3:00 pm Important Upgrade of the ISC A Rupture Directivity Adjustment Uplift of Shorelines Caused by on Topography in New Zealand Before, During and After the 2019 Traditional Tsunami Sources as Bulletin and Associated Datasets. Model Applicable to the NGA- Anticlines Formed During and Its Relationship to Landslide Ridgecrest Earthquakes from Analogies for Future Statewide Storchak, D. A., Harris, J., Di West2 Ground Motion Models and Late Holocene Earthquakes in Puget Occurrence: First Steps Under New Campaign and Continuous GNSS Tsunami Hazard Analyses. Patton, J. Giacomo, D., Lieser, K., Lentas, K., Complex Fault Geometries. Bayless, Sound, Washington State. Sherrod, Zealand’s Resilience Challenge Data. Funning, G. J., Floyd, M. A., R., Wilson, R. I., Dengler, L., Graehl, et al. J., Somerville, P. B. L. Programme. Kaiser, A. E., Massey, Terry, R., Fialko, Y., Hammond, W., N., Bott, J., et al. C., Pisciutta, M., Fry, B., Nicol, A. et al. 3:15 pm Topographic Amplification of Development of a Geodetic-Based Lisbon 1755: A Tsunami Earthquake? 3:15 pm Lessons Learned from the 2018 M7.1 An Update to Probabilistic Seismic How Many Samples Do You Need Ground Motions in Mt. Pleasant, Probabilistic Fault Displacement Fonseca, J. Anchorage, Alaska Earthquake: A Hazard Analysis for New York City: to Date that Paleoearthquake? A Christchurch, New Zealand. Jeong, Hazard Analysis Using Near-Field Network Operator’s Perspective. A Case Study for the JFK Airport. Field Test of Portable OSL Using 345 S., Mohammadi, K., Asimaki, D., Geodetic Imaging Data: Examples Ruppert, N., West, M. E., Gardine, Haji-Soltani, A., Richins, J., Kaeck, Samples from a Single Colluvial- Bradley, B. A., Wotherspoon, L. M. from the 2019 Ridgecrest Earthquake M. W. E. Wedge Exposure. DuRoss, C. B., Sequence. Milliner, C. W. D., Chen, Gray, H. J., Gold, R. D., Nicovich, S., R., Donnellan, A., Morelan, A., Mahan, S. A., et al. Dolan, J., et al. 3:30 pm Impact of Projected Climate-Driven Targeted High-Resolution Structure On the Origin of Tsunami Energy 3:30 pm Site Response, Basin Amplification Comparison of the Site Response Una Falla Críptica; the East Franklin Sea Level Rise on Liquefaction from Motion Observations Over Upon Deformation of the Ocean and Anelastic and Scattering in Anchorage from Mainshock and Mountains Fault, El Paso, Texas Vulnerability in Charleston, South the M6.4 and M7.1 Ruptures of the Floor. Okal, E. A., Synolakis, C. Attenuation in Washington Aftershocks of 30 November 2018, and Its Late Quaternary Behavior. Carolina. Ghanat, S. T. Ridgecrest Earthquake Sequence. and Oregon Determined from Anchorage Earthquake. Dutta, U., McCalpin, J. P., Pavlis, T. L. Donnellan, A., Lyzenga, G. A., Seismograms from the Pacific Yang, J., Chang, X., Thornley, J. Ansar, A., Goulet, C. A., Wang, J., et Northwest Seismic Network. al. Frankel, A. 3:45–4:30 3:45–4:30 Posters and Break (Ballroom) Posters and Break (Ballroom) pm pm Near-Surface Effects: Advances in Observations from the 2019 Understanding Non-Traditional Regional Earthquake Centers: Forthcoming Updates of the USGS Cryptic Faults: Assessing Seismic Site Response Estimation and Its Ridgecrest Earthquake Sequence Seismic Tsunami Hazards (contin- Highlights and Challenges (contin- NSHMs: Hawaii, Conterminous Hazard on Slow Slipping, Blind or Applications (continued). (continued). ued). ued). U.S. and Alaska (continued). Distributed Fault Systems (contin- ued). 4:30 pm Student: Simultaneous Algebraic The Complex, Multi-Fault Rupture Detectability and Tsunami 4:30 pm Overview of Technical Invited: Use of Non-Ergodic Challenges in Characterizing Low- Reconstruction Technique (SART) Process of the 2019 Ridgecrest, Forecasting Capabilities of GNSS Implementation and Approaches Ground-Motion Models for Slip Rate Faults: Paleoseismic Case for Retrieving Shear-Wave Quality CA Earthquakes: A Simultaneous Earthquake Source Products for Used in Transportable Array. Busby, the National Hazard Maps. Study of the Late Quaternary Pajarito Factor Qs Profiles Using Seismic Kinematic Model. Goldberg, D. E., Tsunamigenic Splay, Outer Rise R . W. , Woodward, R., Aderhold, K., Abrahamson, N. A., Al Atik, L., Fault System in the , Noise. Dreossi, I., Parolai, S. Melgar, D., Sahakian, V. J., Thomas, and Strike-Slip Earthquakes. Frassetto, A. M. Bozorgnia, Y., Sung, C., Goulet, C. Los Alamos, New Mexico. Givler, R., A., Xu, X., et al. Williamson, A. L. A., et al. Baldwin, J., Lettis, W., Rockwell, T., Olig, S., et al. 4:45 pm Invited: On the Use of the High- Observed Surface Wave Energy in The 1810 Loreto Tsunami Triggered 4:45 pm The Arizona Earthquake Information Implementing Non-Ergodic GMMs Holocene Earthquake History of the Frequency Spectral Decay Parameter the Los Angeles Basin Induced by by Submarine Landslide in the Gulf Center (AEIC) and the Arizona in Probabilistic Seismic Hazard , : Refining (κ0) to Constrain Large Strain Site the 6 July 2019 M7.1 Ridgecrest of California, Mexico - Historical Integrated Seismic Network (AISN). Analysis. Wooddell, K. E., Kuehn, N. Rupture Length Estimates from Response Analysis. Rathje, E. Earthquake. Meza-Fajardo, K. C., Evidence and Numerical Modeling. Brumbaugh, D. S., Ben-Horin, J. Y. M., Donahue, J., Abrahamson, N. A. Subtle Tectonic Geomorphology and Aochi, H., Papageorgiou, A. S. Ramírez-Herrera, M., Corona, N., Modern Paleoseismology. Streig, A. Castillo-Aja, R. R., Bennett, S. E. K., Chang, J. C., Hornsby, K. T., Mahan, S. A. 1124 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Near-Surface Effects… Observations from the 2019… Understanding Non-Traditional… Regional Earthquake Centers… Forthcoming Updates of the… Cryptic Faults… 2:45 pm Invited: A Simulation Platform SAR Imaging of the Coseismic and Forecasting the Impact of Tsunamis 2:45 pm Modeling Seismic Network Evolution of Ground-Motion Student: Quaternary Deformation to Quantify the Effects of Spatial Postseismic Deformation from the from the Alaska-Aleutian Detection Thresholds Using Prediction Equations Developments in the Seattle Fault Zone: Insights Variability in Site Response for 2019 M7.1 and M6.4 Ridgecrest Subduction Zone in Southern Production Picking Algorithms. Based on Graizer-Kalkan Modular from High-Resolution Marine PSHA. Asimaki, D., Ayoubi, P., Earthquakes in California. Fielding, California Under Rising Sea Levels. Wilson, D., Ringler, A. T., Wolin, E., Filter-Based Approach. Graizer, V. Geophysical Data. Moore, G. L., Kusanovic, D. S., Kottke, A. R. E. J., Stephenson, O., Zhong, M., Dura, T., Garner, A., Weiss, R., Anthony, R. E., Yeck, W. Roland, E., Bennett, S. E. K., Watt, J., Sangha, S. S., Liang, C., et al. Kopp, R., Engelhart, S., et al. Kluesner, J., et al. 3:00 pm Quantifying Seismic Amplification Invited: Crustal Deformation Invited: California Reviews Non- 3:00 pm Important Upgrade of the ISC A Rupture Directivity Adjustment Uplift of Shorelines Caused by on Topography in New Zealand Before, During and After the 2019 Traditional Tsunami Sources as Bulletin and Associated Datasets. Model Applicable to the NGA- Holocene Anticlines Formed During and Its Relationship to Landslide Ridgecrest Earthquakes from Analogies for Future Statewide Storchak, D. A., Harris, J., Di West2 Ground Motion Models and Late Holocene Earthquakes in Puget Occurrence: First Steps Under New Campaign and Continuous GNSS Tsunami Hazard Analyses. Patton, J. Giacomo, D., Lieser, K., Lentas, K., Complex Fault Geometries. Bayless, Sound, Washington State. Sherrod, Zealand’s Resilience Challenge Data. Funning, G. J., Floyd, M. A., R., Wilson, R. I., Dengler, L., Graehl, et al. J., Somerville, P. B. L. Programme. Kaiser, A. E., Massey, Terry, R., Fialko, Y., Hammond, W., N., Bott, J., et al. C., Pisciutta, M., Fry, B., Nicol, A. et al. 3:15 pm Topographic Amplification of Development of a Geodetic-Based Lisbon 1755: A Tsunami Earthquake? 3:15 pm Lessons Learned from the 2018 M7.1 An Update to Probabilistic Seismic How Many Samples Do You Need Ground Motions in Mt. Pleasant, Probabilistic Fault Displacement Fonseca, J. Anchorage, Alaska Earthquake: A Hazard Analysis for New York City: to Date that Paleoearthquake? A Christchurch, New Zealand. Jeong, Hazard Analysis Using Near-Field Network Operator’s Perspective. A Case Study for the JFK Airport. Field Test of Portable OSL Using 345 S., Mohammadi, K., Asimaki, D., Geodetic Imaging Data: Examples Ruppert, N., West, M. E., Gardine, Haji-Soltani, A., Richins, J., Kaeck, Samples from a Single Colluvial- Bradley, B. A., Wotherspoon, L. M. from the 2019 Ridgecrest Earthquake M. W. E. Wedge Exposure. DuRoss, C. B., Sequence. Milliner, C. W. D., Chen, Gray, H. J., Gold, R. D., Nicovich, S., R., Donnellan, A., Morelan, A., Mahan, S. A., et al. Dolan, J., et al. 3:30 pm Impact of Projected Climate-Driven Targeted High-Resolution Structure On the Origin of Tsunami Energy 3:30 pm Site Response, Basin Amplification Comparison of the Site Response Una Falla Críptica; the East Franklin Sea Level Rise on Liquefaction from Motion Observations Over Upon Deformation of the Ocean and Anelastic and Scattering in Anchorage from Mainshock and Mountains Fault, El Paso, Texas Vulnerability in Charleston, South the M6.4 and M7.1 Ruptures of the Floor. Okal, E. A., Synolakis, C. Attenuation in Washington Aftershocks of 30 November 2018, and Its Late Quaternary Behavior. Carolina. Ghanat, S. T. Ridgecrest Earthquake Sequence. and Oregon Determined from Anchorage Earthquake. Dutta, U., McCalpin, J. P., Pavlis, T. L. Donnellan, A., Lyzenga, G. A., Seismograms from the Pacific Yang, J., Chang, X., Thornley, J. Ansar, A., Goulet, C. A., Wang, J., et Northwest Seismic Network. al. Frankel, A. 3:45–4:30 3:45–4:30 Posters and Break (Ballroom) Posters and Break (Ballroom) pm pm Near-Surface Effects: Advances in Observations from the 2019 Understanding Non-Traditional Regional Earthquake Centers: Forthcoming Updates of the USGS Cryptic Faults: Assessing Seismic Site Response Estimation and Its Ridgecrest Earthquake Sequence Seismic Tsunami Hazards (contin- Highlights and Challenges (contin- NSHMs: Hawaii, Conterminous Hazard on Slow Slipping, Blind or Applications (continued). (continued). ued). ued). U.S. and Alaska (continued). Distributed Fault Systems (contin- ued). 4:30 pm Student: Simultaneous Algebraic The Complex, Multi-Fault Rupture Detectability and Tsunami 4:30 pm Overview of Technical Invited: Use of Non-Ergodic Challenges in Characterizing Low- Reconstruction Technique (SART) Process of the 2019 Ridgecrest, Forecasting Capabilities of GNSS Implementation and Approaches Ground-Motion Models for Slip Rate Faults: Paleoseismic Case for Retrieving Shear-Wave Quality CA Earthquakes: A Simultaneous Earthquake Source Products for Used in Transportable Array. Busby, the National Hazard Maps. Study of the Late Quaternary Pajarito Factor Qs Profiles Using Seismic Kinematic Model. Goldberg, D. E., Tsunamigenic Splay, Outer Rise R . W. , Woodward, R., Aderhold, K., Abrahamson, N. A., Al Atik, L., Fault System in the Rio Grande Rift, Noise. Dreossi, I., Parolai, S. Melgar, D., Sahakian, V. J., Thomas, and Strike-Slip Earthquakes. Frassetto, A. M. Bozorgnia, Y., Sung, C., Goulet, C. Los Alamos, New Mexico. Givler, R., A., Xu, X., et al. Williamson, A. L. A., et al. Baldwin, J., Lettis, W., Rockwell, T., Olig, S., et al. 4:45 pm Invited: On the Use of the High- Observed Surface Wave Energy in The 1810 Loreto Tsunami Triggered 4:45 pm The Arizona Earthquake Information Implementing Non-Ergodic GMMs Holocene Earthquake History of the Frequency Spectral Decay Parameter the Los Angeles Basin Induced by by Submarine Landslide in the Gulf Center (AEIC) and the Arizona in Probabilistic Seismic Hazard Meers Fault, Oklahoma: Refining (κ0) to Constrain Large Strain Site the 6 July 2019 M7.1 Ridgecrest of California, Mexico - Historical Integrated Seismic Network (AISN). Analysis. Wooddell, K. E., Kuehn, N. Rupture Length Estimates from Response Analysis. Rathje, E. Earthquake. Meza-Fajardo, K. C., Evidence and Numerical Modeling. Brumbaugh, D. S., Ben-Horin, J. Y. M., Donahue, J., Abrahamson, N. A. Subtle Tectonic Geomorphology and Aochi, H., Papageorgiou, A. S. Ramírez-Herrera, M., Corona, N., Modern Paleoseismology. Streig, A. Castillo-Aja, R. R., Bennett, S. E. K., Chang, J. C., Hornsby, K. T., Mahan, S. A. Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1125 Tuesday, 28 April (continued)

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Near-Surface Effects… Observations from the 2019… Understanding Non-Traditional… Regional Earthquake Centers… Forthcoming Updates of the… Cryptic Faults… 5:00 pm A “Zeta” Model for the Frequency- Engineering Characteristics and Invited: Hazard Constraints on 5:00 pm Comparison of U.S. Geological Assessing the Value of Removing Earthquake Rupture of Multiple Dependent Decay of the Fourier Damage Potential of Ground Potentially Tsunamigenic Submarine Survey and Montana Bureau of Earthquake-Hazard-Related Faults and Implications for Seismic Amplitude Spectrum of Acceleration Motions Recorded in the 2019 Crustal Faults in the Northern Mines and Geology Epicenters and Epistemic Uncertainties, Exemplified Hazard in New Zealand. Nicol, A., at High Frequencies. Haendel, A., Ridgecrest Earthquake Sequence. Cascadia Forearc. Leonard, L. J., Magnitudes for Recent Western Using Average Annual Loss in Van Dissen, R. J., Gerstenberger, M., Anderson, J. G., Pilz, M., Cotton, F. Ahdi, S. K., Mazzoni, S., Kishida, T., Caston, M. V., Wang, K. Montana Earthquakes. Stickney, M. California. Field, E. H., Milner, K., Stirling, M. Wang, P., Nweke, C. C., C. Porter, K. 5:15 pm Student: Ground Motion Model Student: Temporal Seismic Velocity Tsunamigenic Fault Sources in the 5:15 pm Seismic Network Magnitude Benchmarking the First Generation Cryptic Faults, Seismic Hazards and for Hard-Rock Sites by Surface Variations: Recovery Following Salish Sea, Washington State. Thio, Improvement in Georgia. Canadian National Seismic Risk Lithospheric Controls on Crustal Recordings Correction: Site- from the 2019 M7.1 Ridgecrest H., Li, W. Godoladze, T., Gok, R., Assessment. Hobbs, T. E., Journeay, Reactivation in the Gobi Corridor Response Estimation and GMPE Earthquake. Boschelli, J. D., Rostomashvili, T., Buzaladze, A., J., Rao, A. Region, Central Asia. Cunningham, Derivation. Shible, H., Hollender, F., Moschetti, M. P., Sens-Schönfelder, Gunia, I., et al. D. Traversa, P., Guéguen, P. C. 5:30 pm Student: Machine Learning Models Absolute Location of 2019 Ridgecrest Student: Introducing Geodetic 5:30 pm Invited: Canada’s Upgraded 2020 NEHRP Provisions Design New (And Fast) Geologic Slip for Predicting Ground Motion Seismicity Reveals Duplex M6.4 Locking to Stochastic Slip Rupture Earthquake Monitoring Network. Ground Motions Based on Multi- Rates Along Patagonia’s Major and Amplifications in Japan.Seo, H., Ruptures, Migrating and Pulsing Models: An Example Application McCormack, D., Seywerd, H., Period Response Spectra (MPRS) Oftentimes Concealed Crustal Kim, B. M7.1 Foreshocks and Unusually to Tsunami Hazard Analysis in Crane, S., Adams, J., Bent, A. L. and Their Implications for USGS Strike-Slip Faults. De Pascale, G. P., Shallow Mw7.1 Nucleation. Did the Cascadia. Small, D., Melgar, D., Hazard Models. Rezaeian, S., Luco, Sandoval, F. B., Perroud, S., Persico, M7.1 Rupture Require Incitation by Williamson, A. L. N. M., Villalobos, A., et al. M6.4-Like Rupture? Lomax, A. 5:45–6:30 5:45–6:30 Posters and Break (Ballroom) Posters and Break (Ballroom) pm pm 6:30–7:30 6:30–7:30 Lightning Talks (Kiva Auditorium) Lightning Talks (Kiva Auditorium) pm pm 7:30–8:30 7:30–8:30 Early-Career and Student Reception (Ballroom B) Early-Career and Student Reception (Ballroom B) pm pm

1126 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Near-Surface Effects… Observations from the 2019… Understanding Non-Traditional… Regional Earthquake Centers… Forthcoming Updates of the… Cryptic Faults… 5:00 pm A “Zeta” Model for the Frequency- Engineering Characteristics and Invited: Hazard Constraints on 5:00 pm Comparison of U.S. Geological Assessing the Value of Removing Earthquake Rupture of Multiple Dependent Decay of the Fourier Damage Potential of Ground Potentially Tsunamigenic Submarine Survey and Montana Bureau of Earthquake-Hazard-Related Faults and Implications for Seismic Amplitude Spectrum of Acceleration Motions Recorded in the 2019 Crustal Faults in the Northern Mines and Geology Epicenters and Epistemic Uncertainties, Exemplified Hazard in New Zealand. Nicol, A., at High Frequencies. Haendel, A., Ridgecrest Earthquake Sequence. Cascadia Forearc. Leonard, L. J., Magnitudes for Recent Western Using Average Annual Loss in Van Dissen, R. J., Gerstenberger, M., Anderson, J. G., Pilz, M., Cotton, F. Ahdi, S. K., Mazzoni, S., Kishida, T., Caston, M. V., Wang, K. Montana Earthquakes. Stickney, M. California. Field, E. H., Milner, K., Stirling, M. Wang, P., Nweke, C. C., C. Porter, K. 5:15 pm Student: Ground Motion Model Student: Temporal Seismic Velocity Tsunamigenic Fault Sources in the 5:15 pm Seismic Network Magnitude Benchmarking the First Generation Cryptic Faults, Seismic Hazards and for Hard-Rock Sites by Surface Variations: Recovery Following Salish Sea, Washington State. Thio, Improvement in Georgia. Canadian National Seismic Risk Lithospheric Controls on Crustal Recordings Correction: Site- from the 2019 M7.1 Ridgecrest H., Li, W. Godoladze, T., Gok, R., Assessment. Hobbs, T. E., Journeay, Reactivation in the Gobi Corridor Response Estimation and GMPE Earthquake. Boschelli, J. D., Rostomashvili, T., Buzaladze, A., J., Rao, A. Region, Central Asia. Cunningham, Derivation. Shible, H., Hollender, F., Moschetti, M. P., Sens-Schönfelder, Gunia, I., et al. D. Traversa, P., Guéguen, P. C. 5:30 pm Student: Machine Learning Models Absolute Location of 2019 Ridgecrest Student: Introducing Geodetic 5:30 pm Invited: Canada’s Upgraded 2020 NEHRP Provisions Design New (And Fast) Geologic Slip for Predicting Ground Motion Seismicity Reveals Duplex M6.4 Locking to Stochastic Slip Rupture Earthquake Monitoring Network. Ground Motions Based on Multi- Rates Along Patagonia’s Major and Amplifications in Japan.Seo, H., Ruptures, Migrating and Pulsing Models: An Example Application McCormack, D., Seywerd, H., Period Response Spectra (MPRS) Oftentimes Concealed Crustal Kim, B. M7.1 Foreshocks and Unusually to Tsunami Hazard Analysis in Crane, S., Adams, J., Bent, A. L. and Their Implications for USGS Strike-Slip Faults. De Pascale, G. P., Shallow Mw7.1 Nucleation. Did the Cascadia. Small, D., Melgar, D., Hazard Models. Rezaeian, S., Luco, Sandoval, F. B., Perroud, S., Persico, M7.1 Rupture Require Incitation by Williamson, A. L. N. M., Villalobos, A., et al. M6.4-Like Rupture? Lomax, A. 5:45–6:30 5:45–6:30 Posters and Break (Ballroom) Posters and Break (Ballroom) pm pm 6:30–7:30 6:30–7:30 Lightning Talks (Kiva Auditorium) Lightning Talks (Kiva Auditorium) pm pm 7:30–8:30 7:30–8:30 Early-Career and Student Reception (Ballroom B) Early-Career and Student Reception (Ballroom B) pm pm

Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1127 Tuesday, 28 April (continued) Poster Sessions 16. Pre- and Post-Seismic Displacements Associated with Please note: Poster numbers may not be listed sequentially. M7.8 Pedernales Earthquake Derived from Ecuadorian GNSS Data. Serrano-Agila, R., Duque-Yaguache, E. Applications and Technologies in Large-Scale Seismic 17. A Pump-Probe Analysis of Nonlinear Elastic Behavior on Analysis (see page 1161). the San Andreas Fault. Delorey, A. A. 18. Student: Estimation of Seismogenic Stress from the 47. Gleaning Insights from Sequencing Geophysical 2010 Darfield, 2011 Christchurch and 2016 Kaikoura, Timeseries. L e k i c , V. , Kim, D., Huang, M., Menard, B. New Zealand Earthquakes and Implications for Strain 48. A New Operational Model That Increases Experiment Accumulation. Helprin, O. L., Hetland, E. A. Diversity and Shortens Time to Publication for Research 19. The Stress-Similarity Triggering Model for Aftershocks Seismology. Baturan, D., Moores, A., Townsend, B. L., Applied to the Ridgecrest, California Earthquake Hosseini, M. Sequence. Hardebeck, J. 20. Towards a Better Understanding of Non-Planar Back to the Future: Innovative New Research with Legacy Geometrical Complexities of Faults: Including Seismic Data (see page 1182). Geometrical Complexities Using the Flat Fault Approximation in Boundary Element Equation. 49. Creating FAIR Legacy Seismic Data. Ahern, T., Hwang, Romanet, P. L. J. 21. Stratigraphic Evidence of Close Temporal Occurrence 50. Student: Using the Noise Correlation Function to of Northern San Andreas and Southern Cascadia Determine Relative Timing of Analog Seismograms. Lee, Earthquakes: Partial Synchronization? Goldfinger, C. T. A., Ishii, M., Okubo, P. 51. Securing Seismic Legacy Data. Hwang, L. J., Ahern, T., Cryptic Faults: Assessing Seismic Hazard on Slow Slipping, Ebinger, C., Ellsworth, W., Euler, G., Okal, E. A., Okubo, Blind or Distributed Fault Systems (see page 1190). P., Walter, W. R. 52. Re-Analysis of Pre-Digital Earthquakes in the Mendocino 22. Geology, Seismotectonics and Surface Deformation of Triple Junction Region. Doser, D. I. the 25 February 2018 (UTC) M7.5 Earthquake (EQ) in 53. Preserving Analogue Seismograms of Regional Networks the Papua New Guinea (PNG) Highlands. Molinari, M. in Northeastern Iberia. Villasenor, A., Batllo, J., López P. , Youngs, R., Montaldo Falero, V., Albrecht, B. Muga, M., Izquierdo Alvarez, M., Gaite, B., Ugalde, A., 23. Student: Documenting the Earthquake History of the Frontera, T. Thousand Springs Fault in the Summer Lake Basin, 54. Geophysical Information at the Spanish Geophysical Oregon, USA. Curtiss, E. R., Egger, A. E., Weldon, R., Data National Archive. López Muga, M., Tordesillas, J., Neer, J. Benayas, I., Villasenor, A. 24. Shallow Deformation Features of the Imperial Fault 55. Nuclear Explosions Records from Lop Nor Test Site System from Subsurface Imaging. Sahakian, V. J., Recorded by Central Asia Stations. Sokolova, I., Mackey, Derosier, B., Stock, J., Driscoll, N. K., Aristova, I., Velikanov, A. 25. Revisiting Wyoming’s Greys River Fault: A Newly 56. Student: Application of Pool-Based Active Learning Recognized Northern Extent. Mauch, J. P., Wittke, S. J., Methodology in Ground Motion Selection. Kiani, J., Lichtner, D. T. Pezeshk, S. 26. Evidence for Strong Holocene Ground Shaking on the Wallula Fault: Nice Scarp, Where’s the Fault…? Angster, Crustal Stress and Strain and Implications for Fault S., Sherrod, B. L., Lasher, J. Interaction and Slip (see page 1186). 27. Distributed Active Faulting in High-Relief Volcanic Topography in Northeastern California. Jobe, J. A. 13. Student: Structure and Stress-Induced Anisotropy T., Briggs, R. W., Gold, R. D., DeLong, S. B., Hille, M., in the Central USA Spatial Variations of Shear Wave Johnstone, S. A., Pickering, A. J., Phillips, R. F., Muffler, Splitting Measurements from Nine Years of Data. Ortega P., Clynne, M. A., Calvert, A. T. Romo, A. D., Walter, J. I. 28. Does the Phillips Valley Fault Rupture with the Teton 14. Seismicity of Major Earthquakes in a Minimalist Physical Fault? Zellman, M., DuRoss, C. B., Gold, R. D., Thackray, Model. Hongliu, R. G. D., Delano, J. E., Wittke, S. J., Mauch, J. P., Medina, I., 15. Student: Analysis of Shear Wave Splitting Parameters Phillips, R. F., Collins, E. S., Mahan, S. A. in Los Humeros Geothermal Field, Puebla, Mexico. 29. Elucidating the Mead Slope Fault with Drone-Sourced Chacon, F., Zúñiga, R., Lermo-Samaniego, J. Imagery and Dems. Ben-Horin, J. Y., Gootee, B. F., Pearthree, P. A., Rittenour, T. 1128 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 30. Active Faulting in the Region of the Mendocino Triple 69. Numerically Efficient Methodology for Developing Non- Junction: Field Investigations of the Lahsāséte Fault. Ergodic Ground-Motion Models Using Large Datasets. Patton, J. R., Streig, A. R., Leroy, T. H., Levinson, R. Lacour, M., Abrahamson, N. A. 70. Challenges in Assessing Earthquake Rates for Seismic Forthcoming Updates of the USGS NSHMs: Hawaii, Hazard in Hawaii. Llenos, A. L., Michael, A. J. Conterminous U.S. and Alaska (see page 1237). 71. Development of a Fault Source Parameters Database and Updates of the Fault Source Model for the US National 57. Seismic Hazard Analyses of the MWD Emergency Seismic Hazard Model. Hatem, A., Gold, R. D., Briggs, R. Freshwater Pathway, Sacramento-San Joaquin Delta, W., Field, E. H., Powers, P. M., Collett, C. M., Delano, J. E. California. Wong, I., Thomas, P., Lewandowski, N., 72. Cross-Border Comparison Between Canada’s 6th Unruh, J., Darragh, R., Silva, W., Majors, D. Generation and the United States’ 2018 Seismic Hazard 58. Widespread Failure of Delta Levees in a Hypothetical Models. Halchuk, S. C., Kolaj, M., Powers, P. M., Adams, M7.0 Hayward Fault Earthquake. Porter, K., Dashti, S. J. 59. 2023 Update of the USGS National Seismic Hazard Model 73. The 6th Generation Seismic Hazard Model of Canada. for the Conterminous US. Shumway, A. M., Petersen, M. Kolaj, M., Halchuk, S. C., Adams, J. D., Powers, P. M., Luco, N. 74. Non-Ergodic Scenario Maps for Performance Evaluation 60. Student: Non-Ergodic FAS Ground-Motion Model for of Distributed Infrastructure. Kottke, A. R., Kuehn, N. California. Lavrentiadis, G., Abrahamson, N. A., Kuehn, M., Walling, M. N. M. 75. An Induced Seismicity Non-Ergodic Ground Motion 61. Observations of Ground Motion Amplification in the Prediction Equation (GMPE) in the Oklahoma Region. Seattle and Tacoma Sedimentary Basins from Local and Walling, M., Kuehn, N. M., Abrahamson, N. A. Regional Earthquakes. Wirth, E., Czech, T. L., Hutko, A. 76. Using Bayesian Updating to Apply a Regionalized, R., Frankel, A. Partially Nonergodic Ground-Motion Model to a New 62. Cycles of Earthquake Deformation on the Patton Bay Region: Subduction Region as an Example. Kuehn, N. Splay-Fault System Implied by Late Holocene Shoreline M., Bozorgnia, Y., Campbell, K. W., Gregor, N. Evolution on Montague Island, Alaska. Witter, R., 77. Student: Liquefaction Loss Estimation in the United DePaolis, J., Haeussler, P., Bender, A., Curran, J., States. Chansky, A., Baise, L. G., Meyer, M. Hemphill-Haley, E., Leoni, M., LeWinter, A., Filiano, D. 78. Impacts on Network Infrastructure Performance 63. Should Site Response Be Incorporated into Central and Assessments from Multi-Segment and Multi-Fault Eastern US Hazard Maps? Carpenter, S., Wang, Z., Ruptures in UCERF3. L ee, Y. Woolery, E. W. 79. Ground Motion Models for the Island of Hawaii Using 64. Student: Working Group for Development and the Hybrid Empirical Method. Haji-Soltani, A., Pezeshk, Application of Methods for Non-Ergodic Ground- S. Motion Models. Lavrentiadis, G., Abrahamson, N. A., Al 80. Risk Assessment of Building Structural Vulnerability Atik, L., Bozorgnia, Y., Sung, C., Goulet, C. A., Gregor, N., in California Based on Non-Ergodic and Ergodic Kottke, A. R., Kuehn, N. M., Lacour, M., Liu, C., Macedo, Probabilistic Seismic Hazard Analysis. Liu, C., Macedo, J., Meng, X., von Specht, S., Walling, M., Wooddell, K. E. J., Abrahamson, N. A. 65. Student: The Application of Diatom Analysis to 81. Regional Ground-Motion Effects from Intraslab Reconstruct Coseismic Uplift on Montague Island, Earthquakes in Northern Cascadia. Moschetti, M. P., Alaska. DePaolis, J., Witter, R., Dura, T., Haeussler, P., Thompson, E. M., Rekoske, J., Ramirez-Guzman, L. Bender, A., Curran, J., Leoni, M. 82. Migrating U.S. Geological Survey National Seismic 66. Development of a Non-Ergodic GMPE for France. Sung, Hazard Models to the Cloud. Powers, P. M., Clayton, B. C., Abrahamson, N. A., Kuehn, N. M., Traversa, P., S. Zentner, I. 83. Spatial Correlation of Losses: Impact of Earthquake and 67. A Referenced Empirical Ground Motion Model for Arias Tsunami Source Model Assumptions. Fitzenz, D. D., Intensity and Cumulative Absolute Velocity Based on the Woessner, J., Jalali Farahani, R., Damiao, L., Levy, S. NGA-East Database. Farhadi, A., Pezeshk, S. 84. U.S. Geological Survey National Seismic Hazard Model 68. Student: Stratigraphic and Microfossil Evidence Fault Section Database. Powers, P. M., Altekruse, J. M. of Repeated Late Holocene Tsunami Inundation at 85. Alaska Transportable Array Seismic Attenuation Sitkalidak Island, AK. Prater, A., Dura, T., Briggs, R. W., Tomography from Local Earthquake P- and S-Waves: Witter, R., Engelhart, S., Koehler, R., Padgett, J. Tracing Faults from Southeast to Interior Alaska. Nakai, J., Lowe-Worthington, L. Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1129 Tuesday, 28 April (continued) InSight Seismology on Mars: Results from the First (Earth) 97. Nonlinear Soil Response in the Anchorage Area During Year of Data and Prospects for the Future (see page 1255). the 2018 M7.1 Anchorage, Alaska Earthquake. Cramer, C. H., Dutta, U. 86. On-Deck Seismology: Lessons from InSight for Future 98. Characteristics of Shallow Structure Obtained from the Planetary Seismology. Panning, M. P., Pike, W. T., Inversion of Colocated Pressure and Seismic Data for Lognonné, P., Banerdt, W. B., Murdoch, N., Banfield, D., Frequencies below 0.05 Hz. Tanimoto, T., Wang, J. Charalambous, C., Kedar, S., Lorenz, R. D., Marusiak, A. 99. Student: A Regional Vs30 Map for Texas and Its Effect G., McClean, J. B., Nunn, C., Stähler, S., Stott, A., Warren, on Ground Shaking Estimates from ShakeMap. Li, M., T. Rathje, E., Cox, B. R., Yust, M. B. 87. Student: Finite-Discrete Element Modeling of Impacts 100. Development of Two-State Nonlinear Site Amplification Experiments on Mars Regolith Proxies. Froment, M., Model for Japan Dependent on Vs30 and Fundamental Rougier, E., Larmat, C., Lei, Z., Euser, B. J., Kedar, S., Period of Soil. Kwak, D., Seyhan, E. Richardson, J. E., Kawamura, T., Lognonné, P. 101. Student: Shear Wave Velocity-Based Liquefaction 88. Constructing a Probabilistic Seismic Hazard Analysis Potential in Pohang, South Korea. Ji, Y., Kim, B. Framework for the Moon. Schleicher, L. S., Schmerr, N. 102. The Finite-Frequency-Range Spectral Power – A Tool for C., Watters, T., Banks, M. E., Bensi, M. T., Weber, R. C. Identification of Underground Cavities. Kristekova, M., 89. Can Mars Seismic Events Be Successfully Modeled as Kristek, J., Moczo, P. Flow Induced Seismicity? Kedar, S., Panning, M. P., 103. Near Surface Seismic Velocity Measurement and Smrekar, S. E., King, S. D., Golombek, M. P., Manga, Profiling of the East San Francisco Bay Shoreline.Craig, M., Julian, B. R., Shiro, B. R., Perrin, C., Michaut, C., M., Pandit, P., Anderson, S., Hayashi, K. Lognonné, P., Banerdt, W. B. 104. Student: RUMShake: A Pilot Amplification Study in 90. Monitoring Seismicity on Mars - The Marsquake Service Western Puerto Rico. Brunat, P., Pratt, T., Vanacore, E. for Inight. Clinton, J., Giardini, D., Ceylan, S., van Driel, A., Martínez-Cruzado, J. A. M., Stähler, S., Banerdt, W. B., Banfield, D., Beucler, E., 105. Modeling and Inversion of Site Effects Using Physical Böse, M., Charalambous, C., Euchner, F., Garcia, R., Properties of Layered Subsurface. Safarshahi, M., Horleston, A. C., Kawamura, T., Kedar, S., Khan, A., Morozov, I. Lognonné, P., Mainsant, G., Panning, M. P., Perrin, C., 106. Effect of the Los Angeles Basin Revealed by the Ridgecrest Pike, W. T., Scholz, J., Smrekar, S. E., Spiga, A. Earthquakes Recorded on the Community Seismic 91. Resonances from the InSight Seismometer on Mars. Network. Clayton, R. W., Muir, J., Graves, R. Hurst, K. J., Banerdt, W. B., Bierwirth, M., Brinkman, N., 107. The Comprehensive Isoseismal Map of North China. Ceylan, S., Charalambous, C., Delage, P., van Driel, M., Lyu, Y., Sha, H. Fayon, L., Garcia, R., Giardini, D., Knapmeyer-Endrun, 108. Fingerprint Identification Using Noise in the Horizontal- B., Kedar, S., Lognonné, P., McClean, J. B., Mimoun, to-Vertical Spectral Ratio: Retrieving the Impedance D., Murdoch, N., Pike, W. T., Robertsson, J. O. A., Contrast Structure for the Almaty Basin (Kazakhstan). Schmelzbach, C., Schmerr, N. C., Stott, A., Sollberger, D., Parolai, S., Maesano, F. E., Basili, R., Silacheva, N., Stevanovic, J., Staehler, S., Teanby, N., Tillier, S., Verdier, Boxberger, T., Pilz, M. N., Vrettos, C., Warren, T. 109. Three-Dimensional Deep S-Wave Velocity Model of the South and East San Francisco Bay Area Obtained Near-Surface Effects: Advances in Site Response from Microtremor Array Measurements and Three- Estimation and Its Applications (see page 1272). Component Microtremor Measurements. Hayashi, K. 110. Azimuth Dependence of Basin Response in Southern 92. A Novel Application of Earthquake Horizontal-to- California. Parker, G. A., Baltay, A. S. Vertical Spectral Ratio. Zhu, C., Pilz, M., Cotton, F. 111. Site-Specific Characterization of Earthquake Ground 93. Detecting Site Resonant Frequency Using HVSR: FAS vs Motions: Papua New Guinea Case Study. Novakovic, M., PSA and f0 vs fp. Zhu, C., Cotton, F., Pilz, M. Yenier, E., Hovey, A., Quinn, J. 94. Characteristic of the Marine Site Soil Condition in Bohai 112. Fundamental Site Period and Peak Amplification Maps Sea, China. Peng, Y., Lyu, Y., Fang, Y., Huang, S. for the Jackson Purchase Region in the New Madrid 95. Student: Estimation of Vs30 Using P-Wave Seismograms Seismic Zone. Zhu, Y., Wang, Z., Carpenter, S., Woolery, in South Korea. Kim, J., Kim, B. E. W., Haneberg, W. C. 96. Modeling of the Subsurface Structure from the Seismic 113. Student: A Simplified Soil Model for Seismic Site Bedrock to the Ground Surface for a Broadband Strong Response Analysis of Liquefaction. Xing, G. Motion Evaluation in Japan. Senna, S. 114. Relation of Kappa to Coda Q and Their Differences from “In-Situ” Q. Morozov, I., Safarshahi, M. 1130 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 115. Seismic Wave Propagation and Site Response in Mexico 131. Influence of Incidence Angle on Low-Frequency (0.2 to City Due to 19 September 2017 Earthquake. Cardenas- 1 Hz) Site Responses: An Analysis of Site Response From Soto, M., Chávez-García, F., Natarajan, T. the Atlantic Coastal Plain of the Eastern US. Pratt, T. 116. Review of Best Practices to Calculate the Fundamental Frequency of a Site Based on H/V Spectral Ratio: Case Observations from the 2019 Ridgecrest Earthquake Study of Garner Valley Downhole Array. Yazdi, M., Sequence (see page 1289). Motamed, R., Anderson, J. G. 117. Empirical Evaluation of Kinematic Soil-Structure 31. Highlights of Tall Buildings in Los Angeles and San Diego Interaction Effects in Structures with Large Foundation Shaken at Epicentral Distances ~200 Km or More by the Footprint and Deep Embedment Depth. Zogh, P., 5 July 2019 M7.1 Ridgecrest, California Earthquake. Motamed, R. Celebi, M. 118. Damping in Civil Engineering Building through the 32. Student: Jumping Rocks as an Indicator of Ground Fluctuation-Dissipation Concept. Guéguen, P., Roux, P. Motion During the 4 July 2019 M6.4 Ridgecrest 119. Site Effects in the Val D’agri Basin, Southern Italy. Earthquake. Zuckerman, M. G., Amos, C. B., Madugo, Famiani, D., Danesi, S., Braun, T. C., Elliott, A. J., Kottke, A. R., Goulet, C. A., Meng, X., 120. Rotation in Civil Engineering Structures: Analysis of the Caplan-Auerbach, J. City-Hall (Grenoble) Building Using 3C and 6C Sensors. 33. Revised GNSS-Only Dislocation Models and Residual Guéguen, P., Guattari, F., Aubert, C., Laudat, T. Analysis for Ridgecrest Sequence, San Simeon, Parkfield 121. Student: Does Nonlinear Soil Behavior Affect Kappa and La Habra Events. Parker, J., Heflin, M., Moore, A., Estimates? Ji, C., Cabas, A., Bonilla, L., Gélis, C. Donnellan, A. 122. Student: Variations in Site Response Across Urban High 34. Dynamic Triggering of the 2019 M7.1 Ridgecrest Impedance Contrast Basins. Salerno, J. Earthquake Sequence. Meng, H., Fan, W., Lin, G. 123. Seismic and Liquefaction Hazard Maps for the 35. Near-Source Ground Motion Characteristics of the Charleston, South Carolina Area. Cramer, C. H., Jaume, Ridgecrest Earthquake Sequence. McNamara, D. E., S. C., Levine, N. S. Wolin, E., Moschetti, M. P., Hough, S. E., Petersen, M. D., 124. Seismic and Liquefaction Hazard Maps for Lauderdale Benz, H. County, Western Tennessee. Cramer, C. H., Van Arsdale, 36. Student: Stress Changes on the During R. B., Arellano, D., Pezeshk, S., Horton, S. P., Weathers, T., and After the 2019 Ridgecrest Earthquake Sequence. Nazemi, N., Tohidi, H., Bhattarai, R. R., Reichenbacher, Ramos, M., Neo, J., Thakur, P., Huang, Y., Wei, S. R. M., Bouzeid, K. 37. On the Consistency of Instrumental, Macroseismic 125. Preliminary Shear-Wave Velocity Profiles of Deep Intensity and Remote Sensing Data: Lessons from the (Depth > 600 M) in the Mississippi Embayment, USA. 2019 Ridgecrest, California Earthquake Sequence. Horton, S. P. Hough, S. E., Yun, S., Jung, J., Thompson, E. M., Parker, 126. Near-Surface Shear Wave Velocities for the Charleston G. A., Stephenson, O. Area: Models Derived from Seismic Land Streamer 38. Surface Slip Distribution for the 2019 M7.1 Ridgecrest, Data Using a Grid Search Approach. Liberty, L. M., California Earthquake Rupture. DuRoss, C. B., Gold, R. Schermerhorn, W. D., Scharer, K. M., Dawson, T. E., Kendrick, K. J. 127. Passive Site Response Characterization Using 39. Aftershock Forecasts Following the M6.4 and M7.1 Teleseismic Receiver Functions from Wideband Ridgecrest, California Earthquakes of July 2019. Optical Accelerometers. Ball, J. S., Schulte-Pelkum, Hardebeck, J., Michael, A. J., Page, M., van der Elst, N., V., Meremonte, M., Schwarzer, J., Besana-Ostman, G., Barall, M., Llenos, A. L., Martinez, E., McBride, S. Levish, D., McCaffery, E. 40. Mild Displacements of Boulders during the 2019 128. Data-Driven Ground Motion Synthesis Using Deep Ridgecrest Earthquakes. Sleep, N. H., Hough, S. E. Generative Models. Florez, M. A., Buabthong, P. P., 41. Pseudo-Prospective Testing of UCERF3-ETAS Caporale, M., Meier, M., Ross, Z., Asimaki, D. Aftershock Forecasts During the 2019 Ridgecrest, 129. Using H/V Spectral Ratio in Gravelly Soil Near Grand California Earthquake Sequence. Savran, W., Werner, Teton National Park. Griffiths, S. M., Marzocchi, W., Rhoades, D., Jackson, D., Milner, K., 130. Site Characterization of Alaska Transportable Array Jordan, T. H., Field, E. H. Stations in the Yukon, Canada Using H/V Ratios from 42. Variations in Ground Motion Amplification in the Noise and Earthquake. Clizzie, N. L., Nakai, J., Lowe- Los Angeles Basin During the 2019 M7.1 Ridgecrest Worthington, L. Earthquake: Implications for Mid-Rise and High-Rise Structure Response. Kohler, M., Filippitzis, F., Graves, R., Massari, A., Heaton, T., Clayton, R. W. Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1131 Tuesday, 28 April (continued) 43. Source Time Functions for a M4.5 Aftershock within 10. Reclamation Strong Motion Program. Meremonte, M., the 2019 Ridgecrest, California Earthquake Sequence. Ball, J. S., Besana-Ostman, G., Schwarzer, J., Levish, D., Erdem, J. E., Fletcher, J. B., Baker, L. M. McCaffery, E. 44. Survey of Damaged Tufa Pinnacles in Trona Following 11. Quality Control of the Alaska Earthquake Center’s the 2019 Ridgecrest Earthquake Sequence. Goulet, C. A., ShakeMap Product. Macpherson, K. A., West, M. E., Meng, X., Donnellan, A., Lyzenga, G. A. Ruppert, N., Gardine, M. 45. Fault Slip Distribution Along the Southern 15 Km of the 12. Improvements to Multi-Hazard Monitoring Networks in M7.1 Ridgecrest Earthquake Surface Rupture. Akciz, S., Response to Public Safety Power Shutoff (PSPS) Events in Padilla, S., Hatem, A., Dolan, J. California. Bormann, J. M., Kent, G., Driscoll, N., Slater, D., Williams, M., Plank, G. Regional Earthquake Centers: Highlights and Challenges (see page 1306). Understanding Non-Traditional Seismic Tsunami Hazards (see page 1321). 1. Care and Feeding of Analog-Telemetry Seismic Stations. Rusho, J., Hatch, C., O’Keefe, W., Farrell, J., Pechmann, J. 132. Student: Mapping and Modeling the Seattle Fault C. Tsunami Inundation in Puget Sound. Bruce, D., 2. Monitoring of Oregon and Washington’s Cascade MacInnes, B., Bourgeois, J., LeVeque, R. J. Volcanoes: In light of NVEWS. Darold, A. P., Pauk, B., 133. Student: Modeling Tsunami Wave Heights Around the Thelen, W. A. Pacific Basin from an Izu-Bonin Mariana Earthquake 3. The University of Utah Seismograph Stations: A and the Potential for Rewriting Earthquake History. Multifaceted Regional Earthquake Center. Pankow, K. Reisinger, R., Szeliga, W., MacInnes, B. L., Koper, K. D., Burlacu, R., Baker, B., Pechmann, J. C., 134. Consideration of Non-Seismic Tsunami Sources for the Farrell, J., Holt, J. US East Coast and Caribbean. Eble, M. C., Ross, S. L., 4. Updated Determination of Earthquake Magnitudes at Kyriakopoulos, C., Lynett, P. J., Nicolsky, D. J., Ryan, K., the Swiss Seismological Service. Cauzzi, C., Racine, R., Thio, H., Wilson, R. I. Clinton, J., Fäh, D., Edwards, B., Diehl, T., Heimers, S., 135. New Field Insights Into the 2018 M7.5 Palu, Indonesia Deichmann, N., Kästli, P., Haslinger, F., Wiemer, S. Earthquake and Tsunami and a Comparison with the 5. Student: Lessons and Goals of the Colorado Geological 2009 M8.1 Samoa Event. Cilia, M., Mooney, W. D. Survey Seismic Network. Bogolub, K. R., Morgan, M., 136. Analytical Model for Tsunami Propagation Including Fitzgerald, F. S., Palkovic, M. J., Broes, L. D. Source Kinematics. Riquelme, S., Fuentes, M. 6. Caltech/USGS Southern California Seismic Network 137. Student: Can Inelastic Wedge Deformation Explain the (SCSN): Modernization of Regional Earthquake Center Large Tsunami Runup of the 1896 Sanriku Earthquake? Operations. Bhadha, R., Hauksson, E., Thomas, V., Du, Y., Ma, S., Kubota, T., Saito, T. Alvarez, M., Black, M. L., Bruton, C., Watkins, M., 138. Progress of the Powell Center Working Group on Stubailo, I., Andrews, J. R., Yu, E., Yoon, C. Tsunami Sources. Ross, S. L., Eble, M. C., Kyriakopoulos, 7. Signals in the Noise – Resolving Small Seismic Signals at C., Lynett, P. J., Nicolsky, D. J., Ryan, K., Thio, H., Wilson, Very Long Periods. Hellweg, M., Doody, C., Rademacher, R. I. H., Taira, T., Uhrhammer, R. 8. Idaho National Laboratory Seismic Monitoring Program. Weathering the Earthquake Storms: Crisis Bockholt, B., Payne, S., Sandru, J. Communication Following Major Events (see page 1328). 9. Challenges on Characterizing a Low-Magnitude Seismic Sequence with a Sparse National Network. 46. Stop the Presses: Aftershock Forecasts in the Media from Perez-Campos, X., Espídola, V. H., González Ávila, Bombay Beach to Anchorage to Ridgecrest. McBride, D., Martínez, L. D., López, G., Montalvo-Arrieta, J. C., S., Llenos, A. L., Hardebeck, J., Michael, A. J., Page, M., Zamora-Camacho, A. van der Elst, N., Wein, A. M., Barall, M., Martinez, E., Blanpied, M. L.

1132 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1133 Wednesday, 29 April—Oral Sessions

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Environmental and Near Surface Earthquake Early Warning: Advances in Seismic Imaging Mechanisms of Induced Seismicity: Numerical Modeling of Rupture Explosion Seismology Advances Seismology: From Glaciers and Current Status and Latest of Earth’s Mantle and Core and Pressure Diffusion, Elastic Dynamics, Earthquake Ground (see page 1226). Rivers to Engineered Structures Innovations (see page 1202). Implications for Convective Stressing and Aseismic Slip (see Motion and Seismic Noise (see page and Beyond (see page 1218). Processes (see page 1162). page 1261). 1281). 8:30 am Multi-Phase Seismic Sources of Earthquake Early Warning Delivery Invited: Upper Mantle 8:30 am Invited: The Interplay Between Student: 3D 0-5 Hz Wave Seismic Magnitudes of Underground Tropical Cyclones. Retailleau, L., Using Smartphones. Kong, Q., Heterogeneity Beneath Continental Fluid Injection, Aseismic Slip and Propagation Simulations of the 2014 Nuclear Explosion Signals and Gualtieri, L. Strauss, J. A., Allen, R. M. Africa and Its Implications for Induced Microearthquakes Unveiled M5.1 La Habra Earthquake with Their Uses. Howe, M., Ekström, G., Lithospheric and Asthenospheric by Seismic Wave Analysis. Huang, Small-Scale Heterogeneities, Q(f) Richards, P. G. Processes. Emry, E. L., Shen, Y., Y., De Barros, L., Cappa, F. and Topography. Hu, Z., Olsen, K. B. Nyblade, A. 8:45 am Student: Monitoring Rock Slope Is Crowdsourced Earthquake Early Evolution of Arc-Continent Collision 8:45 am Student: Seismic Moment Student: Sensitivity of Modeled Detection and Characterization Instabilities Using Frequency Warning Already a Reality? Bossu, Controlled by Inherited Lithospheric Evolution During Hydraulic Topographic Effects to Kinematic of Mining Activity at a National Domain Decomposition Modal R., Finazzi, F., Steed, R., Fallou, L. Scale Structures. Miller, M. S., Stimulations. Bentz, S., Kwiatek, G., Source Parameters in 3D Simulations Level. Earle, P., Benz, H., Yeck, W., Analysis. Häusler, M., Michel, C., Becker, T. W., Dahlquist, M., Harris, Martínez-Garzón, P., Bohnhoff, M., of M6.5-7.0 Earthquakes. Stone, I., Ambruz, N. Burjánek, J., Fäh, D. C., O’Driscoll, et al. Dresen, G. Wirth, E., Frankel, A. 9:00 am Thunderquakes by Fiber-Optic Student: A Catalog Search Lithospheric and Asthenospheric 9:00 am Pecos Array in West Texas: The Strategies for Implementing the Seismology Observations on the 21 Distributed Acoustic Sensing Array. Algorithm for Interpreting Complex Structure Beneath Alaska from Importance of Local Arrays in Traction-Free Condition at the March 2019 Accidental Explosion at Zhu, T., Stensrud, D. J. Sequences. Roh, B. H., Heaton, T. Bayesian Inversion of Sp and Identifying and Monitoring Induced Free-Surface Topography. Moczo, Xiangshui Chemical Plant in Jiangsu, Rayleigh Wave Data. Fischer, K. M., Seismicity in Complex Areas. P. , Syvret, F., Kristek, J., Al-Attar, D., China. Zhao, L., Xie, X., Song, Y., Gama, I., Eilon, Z. C., Krueger, H. E., Savvaidis, A., Lomax, A., Karplus, Fecko, M. Du, G., Yao, Z. Dalton, C. A., et al. M., Hennings, P., Martone, P., Shirley, M., et al. 9:15 am Subsurface Void Imaging and Student: Deepshake: Earthquake Student: Weak Upper Mantle 9:15 am Student: Revisiting the Timpson Student: Characterizing the Effect Insights from the Source Physics Mapping Using 3D Multi Early Warning with a Deep Anisotropy Revealed by Teleseismic Induced Earthquake Sequence with of Topography on Ground Shaking Experiments on Seismic Waves Component Ultra High Resolution Generative Spatiotemporal Recursive P Wave Receiver Functions from the Deep-Learning. Wang, K., Ellsworth, and Coseismic Landslides During Generated by Explosions. Walter, W. 3D Shallow Seismic Imaging, Reverse Neural Network. Datta, A., Wu, D. J., USArray. Zhang, H., Schmandt, B., W., Beroza, G. C. the 25 April 2015 M7.8 Gorkha R., Ford, S. R., Pitarka, A., Pyle, M. Time Migration and Multi-Attribute Cai, M. L., Zhu, W., Ellsworth, W. Zhang, J. Earthquake in Nepal Through Full L., Pasyanos, M. E., et al. Calculations. Turner, J., O’Connell, Wavefield Simulations.Dunham, A., D. R. H., Levandowski, W. Kiser, E., Kargel, J., Haritashya, U., Shugar, D., et al. 9:30 am Seismic Signals from the Seismic Event Parameter Inference Alteration of the Pacific Lithosphere 9:30 am Unveiling the Faults in the Southern Student: Numerical Simulation Simulation of the Far-Field Hydrosphere Occurring Beyond the from Sparse Early Warning Stations and Asthenosphere by the Hawaiian Raton Basin Using Nodal Array. of Topographic and Crustal Signatures of Underground Chemical Microseism Band. Anthony, R. E., Using Bayesian Networks. Zaicenco, Hotspot: A Re-Examination. Wang, R., Schmandt, B., Glasgow, Scattering—Case Study of the 2009 Explosions in Anisotropic Media: Ringler, A. T., Wilson, D. A. G., Weir-Jones, I. Forsyth, D. W., Chen, K., Gardner, M. E., Rysanek, S., Stairs, R. K., et al. DPRK Nuclear Explosion. Yeh, T., Application to SPE Phase I DAG G. Olsen, K. B. Series. Ezzedine, S. M., Vorobiev, O. Y., Hirakawa, E. T., Pitarka, A., Antoun, T. H., et al. 9:45–10:45 9:45–10:45 Posters and Break (Ballroom) Posters and Break (Ballroom) am am

1134 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Wednesday, 29 April—Oral Sessions

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Environmental and Near Surface Earthquake Early Warning: Advances in Seismic Imaging Mechanisms of Induced Seismicity: Numerical Modeling of Rupture Explosion Seismology Advances Seismology: From Glaciers and Current Status and Latest of Earth’s Mantle and Core and Pressure Diffusion, Elastic Dynamics, Earthquake Ground (see page 1226). Rivers to Engineered Structures Innovations (see page 1202). Implications for Convective Stressing and Aseismic Slip (see Motion and Seismic Noise (see page and Beyond (see page 1218). Processes (see page 1162). page 1261). 1281). 8:30 am Multi-Phase Seismic Sources of Earthquake Early Warning Delivery Invited: Upper Mantle 8:30 am Invited: The Interplay Between Student: 3D 0-5 Hz Wave Seismic Magnitudes of Underground Tropical Cyclones. Retailleau, L., Using Smartphones. Kong, Q., Heterogeneity Beneath Continental Fluid Injection, Aseismic Slip and Propagation Simulations of the 2014 Nuclear Explosion Signals and Gualtieri, L. Strauss, J. A., Allen, R. M. Africa and Its Implications for Induced Microearthquakes Unveiled M5.1 La Habra Earthquake with Their Uses. Howe, M., Ekström, G., Lithospheric and Asthenospheric by Seismic Wave Analysis. Huang, Small-Scale Heterogeneities, Q(f) Richards, P. G. Processes. Emry, E. L., Shen, Y., Y., De Barros, L., Cappa, F. and Topography. Hu, Z., Olsen, K. B. Nyblade, A. 8:45 am Student: Monitoring Rock Slope Is Crowdsourced Earthquake Early Evolution of Arc-Continent Collision 8:45 am Student: Seismic Moment Student: Sensitivity of Modeled Detection and Characterization Instabilities Using Frequency Warning Already a Reality? Bossu, Controlled by Inherited Lithospheric Evolution During Hydraulic Topographic Effects to Kinematic of Mining Activity at a National Domain Decomposition Modal R., Finazzi, F., Steed, R., Fallou, L. Scale Structures. Miller, M. S., Stimulations. Bentz, S., Kwiatek, G., Source Parameters in 3D Simulations Level. Earle, P., Benz, H., Yeck, W., Analysis. Häusler, M., Michel, C., Becker, T. W., Dahlquist, M., Harris, Martínez-Garzón, P., Bohnhoff, M., of M6.5-7.0 Earthquakes. Stone, I., Ambruz, N. Burjánek, J., Fäh, D. C., O’Driscoll, et al. Dresen, G. Wirth, E., Frankel, A. 9:00 am Thunderquakes by Fiber-Optic Student: A Catalog Search Lithospheric and Asthenospheric 9:00 am Pecos Array in West Texas: The Strategies for Implementing the Seismology Observations on the 21 Distributed Acoustic Sensing Array. Algorithm for Interpreting Complex Structure Beneath Alaska from Importance of Local Arrays in Traction-Free Condition at the March 2019 Accidental Explosion at Zhu, T., Stensrud, D. J. Sequences. Roh, B. H., Heaton, T. Bayesian Inversion of Sp and Identifying and Monitoring Induced Free-Surface Topography. Moczo, Xiangshui Chemical Plant in Jiangsu, Rayleigh Wave Data. Fischer, K. M., Seismicity in Complex Areas. P. , Syvret, F., Kristek, J., Al-Attar, D., China. Zhao, L., Xie, X., Song, Y., Gama, I., Eilon, Z. C., Krueger, H. E., Savvaidis, A., Lomax, A., Karplus, Fecko, M. Du, G., Yao, Z. Dalton, C. A., et al. M., Hennings, P., Martone, P., Shirley, M., et al. 9:15 am Subsurface Void Imaging and Student: Deepshake: Earthquake Student: Weak Upper Mantle 9:15 am Student: Revisiting the Timpson Student: Characterizing the Effect Insights from the Source Physics Mapping Using 3D Multi Early Warning with a Deep Anisotropy Revealed by Teleseismic Induced Earthquake Sequence with of Topography on Ground Shaking Experiments on Seismic Waves Component Ultra High Resolution Generative Spatiotemporal Recursive P Wave Receiver Functions from the Deep-Learning. Wang, K., Ellsworth, and Coseismic Landslides During Generated by Explosions. Walter, W. 3D Shallow Seismic Imaging, Reverse Neural Network. Datta, A., Wu, D. J., USArray. Zhang, H., Schmandt, B., W., Beroza, G. C. the 25 April 2015 M7.8 Gorkha R., Ford, S. R., Pitarka, A., Pyle, M. Time Migration and Multi-Attribute Cai, M. L., Zhu, W., Ellsworth, W. Zhang, J. Earthquake in Nepal Through Full L., Pasyanos, M. E., et al. Calculations. Turner, J., O’Connell, Wavefield Simulations.Dunham, A., D. R. H., Levandowski, W. Kiser, E., Kargel, J., Haritashya, U., Shugar, D., et al. 9:30 am Seismic Signals from the Seismic Event Parameter Inference Alteration of the Pacific Lithosphere 9:30 am Unveiling the Faults in the Southern Student: Numerical Simulation Simulation of the Far-Field Hydrosphere Occurring Beyond the from Sparse Early Warning Stations and Asthenosphere by the Hawaiian Raton Basin Using Nodal Array. of Topographic and Crustal Signatures of Underground Chemical Microseism Band. Anthony, R. E., Using Bayesian Networks. Zaicenco, Hotspot: A Re-Examination. Wang, R., Schmandt, B., Glasgow, Scattering—Case Study of the 2009 Explosions in Anisotropic Media: Ringler, A. T., Wilson, D. A. G., Weir-Jones, I. Forsyth, D. W., Chen, K., Gardner, M. E., Rysanek, S., Stairs, R. K., et al. DPRK Nuclear Explosion. Yeh, T., Application to SPE Phase I DAG G. Olsen, K. B. Series. Ezzedine, S. M., Vorobiev, O. Y., Hirakawa, E. T., Pitarka, A., Antoun, T. H., et al. 9:45–10:45 9:45–10:45 Posters and Break (Ballroom) Posters and Break (Ballroom) am am

Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1135 Wednesday, 29 April (continued)

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Environmental and Near Surface Earthquake Early Warning: Advances in Seismic Imaging Mechanisms of Induced Seismicity: Numerical Modeling of Rupture Explosion Seismology Advances Seismology: From Glaciers and Current Status and Latest of Earth’s Mantle and Core and Pressure Diffusion, Elastic Dynamics, Earthquake Ground (continued). Rivers to Engineered Structures Innovations (continued). Implications for Convective Stressing and Aseismic Slip (con- Motion and Seismic Noise (contin- and Beyond (continued). Processes (continued). tinued). ued). 10:45 am Using Passive Seismology to How Often Can Earthquake Early Invited: Imaging and Modeling the 10:45 am Invited: Fluid-Rock Mechanical Numerical Modeling of Three- Damage Quantification for SPE- Investigate Hydrological Forcing Warning Systems Alert Sites with Yellowstone Plume. Grand, S. P., Interaction with Applications Component Seismic Ambient Noise: DAG Explosions by Spall and of Fast Glacier Flow in Greenland. High Intensity Ground Motion? Nelson, P. L., Steinberger, B. for Inducing and Triggering Insights into the Generation of Elevation Change. Larmat, C., Schoonman, C. M., Christoffersen, Meier, M., Kodera, Y., Böse, M., Earthquakes. Zhai, G., Shirzaei, M., Secondary-Microseism Love Waves. Swanson, E., Schultz-Fellenz, E., Lei, P., Doyle, S. H., Hubbard, B., Chung, A. I., Hoshiba, M., et al. Manga, M., Chen, X., Xu, W., et al. Gualtieri, L., Bachmann, E., Simons, Z., Phillips, W. S. Hofstede, C., et al. F. J., Tromp, J. 11:00 am Identification and Characterization The PLUM Earthquake Early Seismic Discontinuities and 11:00 am Stress Drops and Ground Motions Modeling Ground Motions in Analysis of Source Physics of Abandoned Mines with Partial- Warning Algorithm: Application Compositional Heterogeneities in from Induced Earthquakes in Northern Israel: The Role of 3D Experiment Explosion Triggered Waveform Methods, Transmitted- to Real-Time, USA, Data. Kilb, D., the Mid-Mantle. Wei, S., Tian, D., Oklahoma and Kansas: Are Crustal Heterogeneities of the Aftershocks at the Nevada National Wave Tomography, Gravity and Cochran, E. S., Bunn, J., Saunders, J. Shearer, P. M. They Different from Tectonic Dead Sea Transform Fault System. Security Site. Ichinose, G., Ford, Seismic Reflection.Levandowski, K., Minson, S. E., et al. Earthquakes? Wong, I., Darragh, R., Tsesarsky, M., Shimony, R., S. R., Kroll, K. A., Dodge, D. A., W. , O’Connell, D. R. H., Turner, J., Silva, W., Smith, S., Kishida, T. Glechmam, Y., Gvirtzman, Z. Pitarka, A., et al. Nuttall, J., Steele, L., et al.

11:15 am Aquifer Susceptibility to Earthquake- Could a Decentralized Onsite Shear Attenuation Beneath the 11:15 am What Induced Seismicity from CO2 Modeling of Ground Motion in Acoustic Wave Generation and Induced Water-Level Changes: Earthquake Early Warning System Central Pacific and Implications for Injection Can Tell Us About Fluid the National Capital Region, India Propagation from the Source Physics Towards a Probabilistic Model of Help in Mitigating Seismic Risk in Anelasticity and Hydration in the Migration Pathways. Williams- for a Recorded 4.9 Magnitude Experiments Investigated by Full 3D Fluid Pressure Changes During North-Eastern Italy? The Case of Oceanic Upper Mantle. Dalton, C. Stroud, S., Leetaru, H., Bauer, R., Earthquake and for a Future, Large Finite-Difference Simulation.Kim, Earthquakes. Weaver, K. C., Holden, the Ms 6.5 1976 Friuli Earthquake. A., Ma, Z., Russell, J., Gaherty, J. B., Greenberg, S., Langet, N. 8.5 Magnitude Earthquake in the K., Bowman, D. C., Fee, D. C., Arnold, R., Townend, J., Cox, S. Parolai, S., Moratto, L., Bertoni, M., Hirth, G., et al. Himalayan Central Seismic Gap. C. Scaini, C., Rebez, A. Krishnavajjhala, S., Gupta, S. 11:30 am Seismic Attenuation Illuminates Incorporating Ground-Motion SKS Shear Wave Splitting Based 11:30 am Fracture Stimulation as Seen Modeling Dynamic Earthquake Numerical Simulations of Surface Fluid Pathways in Glacial Ice. Uncertainties into Earthquake Early on 3D Seismic Wave Simulations. Through Picoseismicity, Borehole Ruptures Towards Identifying and Acoustic Wave Generation from Matzel, E., Morency, C. Warning Alert Distance Strategies Creasy, N., Bozdag, E. Displacement Probes and Seismological Observables of Underground Explosions in Hard Using the July 2019 M6.4 and M7.1 Distributed Fiber-Optic Sensing: The Co-Seismic Off-Fault Damage. Rock Geologies. Vorobiev, O. Y., Ridgecrest, California, Earthquakes. EGS Collab Experiment. Hopp, C., Okubo, K., Bhat, H. S., Rougier, E., Stroujkova, A. Saunders, J. K., Aagaard, B. T., Schoenball, M., Rodríguez Tribaldos, Denolle, M. A. Baltay, A. S., Minson, S. E. V., Ajo-Franklin, J. B., Guglielmi, Y. 11:45 am Monitoring Groundwater and Flood Including Three-Dimensional Finite Resolution and Covariance of the 11:45 am Complexity of the Fracture Network Path and Site-Effects Revealed by Infrasound from Ground Motion Effects on Shallow Seismic Properties Fault and Distributed Slip Models LLNL-G3D-JPS Global Seismic Development During Stimulation Source-Normalized Intensities Sources Recorded by Airborne in Jakarta, Indonesia. Denolle, M. in Ground Motion Forecasting for Tomography Model. Simmons, N. of a 6.1-Km-Deep Enhanced from a Suite of Three-Dimensional Microbarometers. Bowman, D. C., A., Jiang, C., Yuan, C., Cummins, P. Earthquake Early Warning. Murray, A., Schuberth, B. S. A., Myers, S. C., Geothermal System in Finland. Simulations of M7.0 Hayward Fault Krishnamoorthy, S., Martire, L., J. R., Minson, S. E., Baltay, A. S., Knapp, D. R. Leonhardt, M., Kwiatek, G., Saarno, Ruptures Resolved to 5 Hz. Rodgers, Chaigneau, Y., Garcia, R., et al. Thompson, E. M. T., Heikkinen, P., Martínez-Garzón, A. J., Abrahamson, N. A., Pitarka, A. P., et al. Noon– Luncheon, Open to All Attendees (Hall Three) Noon– Luncheon, Open to All Attendees (Hall Three) 1:00 pm Women in Seismology Luncheon, RSVP Required (Hall Three) 1:00 pm Women in Seismology Luncheon, RSVP Required (Hall Three) 1:15–2:15 1:15–2:15 Public Policy Address (Kiva Auditorium) Public Policy Address (Kiva Auditorium) pm pm

1136 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Environmental and Near Surface Earthquake Early Warning: Advances in Seismic Imaging Mechanisms of Induced Seismicity: Numerical Modeling of Rupture Explosion Seismology Advances Seismology: From Glaciers and Current Status and Latest of Earth’s Mantle and Core and Pressure Diffusion, Elastic Dynamics, Earthquake Ground (continued). Rivers to Engineered Structures Innovations (continued). Implications for Convective Stressing and Aseismic Slip (con- Motion and Seismic Noise (contin- and Beyond (continued). Processes (continued). tinued). ued). 10:45 am Using Passive Seismology to How Often Can Earthquake Early Invited: Imaging and Modeling the 10:45 am Invited: Fluid-Rock Mechanical Numerical Modeling of Three- Damage Quantification for SPE- Investigate Hydrological Forcing Warning Systems Alert Sites with Yellowstone Plume. Grand, S. P., Interaction with Applications Component Seismic Ambient Noise: DAG Explosions by Spall and of Fast Glacier Flow in Greenland. High Intensity Ground Motion? Nelson, P. L., Steinberger, B. for Inducing and Triggering Insights into the Generation of Elevation Change. Larmat, C., Schoonman, C. M., Christoffersen, Meier, M., Kodera, Y., Böse, M., Earthquakes. Zhai, G., Shirzaei, M., Secondary-Microseism Love Waves. Swanson, E., Schultz-Fellenz, E., Lei, P., Doyle, S. H., Hubbard, B., Chung, A. I., Hoshiba, M., et al. Manga, M., Chen, X., Xu, W., et al. Gualtieri, L., Bachmann, E., Simons, Z., Phillips, W. S. Hofstede, C., et al. F. J., Tromp, J. 11:00 am Identification and Characterization The PLUM Earthquake Early Seismic Discontinuities and 11:00 am Stress Drops and Ground Motions Modeling Ground Motions in Analysis of Source Physics of Abandoned Mines with Partial- Warning Algorithm: Application Compositional Heterogeneities in from Induced Earthquakes in Northern Israel: The Role of 3D Experiment Explosion Triggered Waveform Methods, Transmitted- to Real-Time, USA, Data. Kilb, D., the Mid-Mantle. Wei, S., Tian, D., Oklahoma and Kansas: Are Crustal Heterogeneities of the Aftershocks at the Nevada National Wave Tomography, Gravity and Cochran, E. S., Bunn, J., Saunders, J. Shearer, P. M. They Different from Tectonic Dead Sea Transform Fault System. Security Site. Ichinose, G., Ford, Seismic Reflection.Levandowski, K., Minson, S. E., et al. Earthquakes? Wong, I., Darragh, R., Tsesarsky, M., Shimony, R., S. R., Kroll, K. A., Dodge, D. A., W. , O’Connell, D. R. H., Turner, J., Silva, W., Smith, S., Kishida, T. Glechmam, Y., Gvirtzman, Z. Pitarka, A., et al. Nuttall, J., Steele, L., et al.

11:15 am Aquifer Susceptibility to Earthquake- Could a Decentralized Onsite Shear Attenuation Beneath the 11:15 am What Induced Seismicity from CO2 Modeling of Ground Motion in Acoustic Wave Generation and Induced Water-Level Changes: Earthquake Early Warning System Central Pacific and Implications for Injection Can Tell Us About Fluid the National Capital Region, India Propagation from the Source Physics Towards a Probabilistic Model of Help in Mitigating Seismic Risk in Anelasticity and Hydration in the Migration Pathways. Williams- for a Recorded 4.9 Magnitude Experiments Investigated by Full 3D Fluid Pressure Changes During North-Eastern Italy? The Case of Oceanic Upper Mantle. Dalton, C. Stroud, S., Leetaru, H., Bauer, R., Earthquake and for a Future, Large Finite-Difference Simulation. Kim, Earthquakes. Weaver, K. C., Holden, the Ms 6.5 1976 Friuli Earthquake. A., Ma, Z., Russell, J., Gaherty, J. B., Greenberg, S., Langet, N. 8.5 Magnitude Earthquake in the K., Bowman, D. C., Fee, D. C., Arnold, R., Townend, J., Cox, S. Parolai, S., Moratto, L., Bertoni, M., Hirth, G., et al. Himalayan Central Seismic Gap. C. Scaini, C., Rebez, A. Krishnavajjhala, S., Gupta, S. 11:30 am Seismic Attenuation Illuminates Incorporating Ground-Motion SKS Shear Wave Splitting Based 11:30 am Fracture Stimulation as Seen Modeling Dynamic Earthquake Numerical Simulations of Surface Fluid Pathways in Glacial Ice. Uncertainties into Earthquake Early on 3D Seismic Wave Simulations. Through Picoseismicity, Borehole Ruptures Towards Identifying and Acoustic Wave Generation from Matzel, E., Morency, C. Warning Alert Distance Strategies Creasy, N., Bozdag, E. Displacement Probes and Seismological Observables of Underground Explosions in Hard Using the July 2019 M6.4 and M7.1 Distributed Fiber-Optic Sensing: The Co-Seismic Off-Fault Damage. Rock Geologies. Vorobiev, O. Y., Ridgecrest, California, Earthquakes. EGS Collab Experiment. Hopp, C., Okubo, K., Bhat, H. S., Rougier, E., Stroujkova, A. Saunders, J. K., Aagaard, B. T., Schoenball, M., Rodríguez Tribaldos, Denolle, M. A. Baltay, A. S., Minson, S. E. V., Ajo-Franklin, J. B., Guglielmi, Y. 11:45 am Monitoring Groundwater and Flood Including Three-Dimensional Finite Resolution and Covariance of the 11:45 am Complexity of the Fracture Network Path and Site-Effects Revealed by Infrasound from Ground Motion Effects on Shallow Seismic Properties Fault and Distributed Slip Models LLNL-G3D-JPS Global Seismic Development During Stimulation Source-Normalized Intensities Sources Recorded by Airborne in Jakarta, Indonesia. Denolle, M. in Ground Motion Forecasting for Tomography Model. Simmons, N. of a 6.1-Km-Deep Enhanced from a Suite of Three-Dimensional Microbarometers. Bowman, D. C., A., Jiang, C., Yuan, C., Cummins, P. Earthquake Early Warning. Murray, A., Schuberth, B. S. A., Myers, S. C., Geothermal System in Finland. Simulations of M7.0 Hayward Fault Krishnamoorthy, S., Martire, L., J. R., Minson, S. E., Baltay, A. S., Knapp, D. R. Leonhardt, M., Kwiatek, G., Saarno, Ruptures Resolved to 5 Hz. Rodgers, Chaigneau, Y., Garcia, R., et al. Thompson, E. M. T., Heikkinen, P., Martínez-Garzón, A. J., Abrahamson, N. A., Pitarka, A. P., et al. Noon– Luncheon, Open to All Attendees (Hall Three) Noon– Luncheon, Open to All Attendees (Hall Three) 1:00 pm Women in Seismology Luncheon, RSVP Required (Hall Three) 1:00 pm Women in Seismology Luncheon, RSVP Required (Hall Three) 1:15–2:15 1:15–2:15 Public Policy Address (Kiva Auditorium) Public Policy Address (Kiva Auditorium) pm pm

Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1137 Wednesday, 29 April (continued)

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Exploring Rupture Dynamics and What Can We Infer About the Full-Waveform Inversion: Recent Seismic Imaging of Fault Zones Numerical Modeling of Rupture Explosion Seismology Advances Seismic Wave Propagation Along Earthquake Source Through Advances and Applications (see (see page 1311). Dynamics, Earthquake Ground (continued). Complex Fault Systems (see page Analyses of Strong Ground page 1246). Motion and Seismic Noise (contin- 1223). Motion? (see page 1328). ued). 2:30 pm Dynamic Models of Earthquake Robust Results, Elegant Analyses, Global Adjoint Tomography - Model 2:30 pm Invited: Characterizing the Student: Seismic Phononic Crystals Assessing Explosions at Regional Rupture Along Branch Faults of the Data Driven Science. Archuleta, R. J. GLAD-M25. L e i , W. , Tromp, J., Uppermost 100 M Structure of the Driven by Elastodynamic Navier Scales Using Small Seismic Arrays. Eastern San Gorgonio Pass Region in Ruan, Y., Bozdag, E., Komatitsch, D., Southeast Equation. Lee, D., Rho, J. West, M. E., Karasozen, E. CA using Complex Fault Structure. et al. of Anza, California through Joint Douilly, R., Oglesby, D. D., Cooke, Analysis of Geologic, Topographic, M. L., Hatch, J. L. Seismic and Resistivity Data. Share, P. , Tábořík, P., Štěpančíková, P., Stemberk, J., Rockwell, T. K., et al. 2:45 pm Dynamic Rupture Scenarios Invited: Finite-Fault Source Uncertainty Quantification in 2:45 pm Tomographic Images of the 2016 CyberShake PSHA with Updated Phased Array Analysis Incorporating of Large Earthquakes on the Inversion Including Surface Full Waveform Tomography with Central Italy M6.5 and M6.1 Normal Rupture Models. Callaghan, S., the Continuous Wavelet Transform. Hayward Calaveras Rodgers Creek Topography Effects and 3D Velocity Ensemble Data-Assimilation. Faults by Massive Local Earthquakes Maechling, P. J., Goulet, C. A., Langston, C. A. Fault System, California Using Structure: Application to the Norcia, Thurin, J., Brossier, R., Métivier, L. Tomography. Chiarabba, C., De Milner, K., Graves, R., et al. Observations from Geology and M6.5, 30 October 2016, Central Gori, P., Michele, M., Chiaraluce, L. Geodesy. Harris, R., Barall, M., Italy Earthquake. Scognamiglio, L., Ponce, D., Moore, D., Graymer, R., Casarotti, E., Tinti, E., Magnoni, F. et al. 3:00 pm Effects of Multi-Scale Fault Estimation of the Stress Breakdown Student: Large-Scale Multi- 3:00 pm Student: Hierarchical Seismic Student: A Frequency-Dependent Modeling Distributed Acoustic Complexity on Earthquake Rupture Slip from Strong-Motion Parameter Probabilistic Full- Imaging of the Crust in Southern Spatial Correlation Model of Sensing Signals from an Explosion. and Radiation. M a i , P. Seismograms. Olsen, K. B., Cruz Waveform Inversion Using California. White, M. C. A., Fang, Within-Event Residuals for Fourier Mellors, R. J., Pitarka, A., Abbott, R. Atienza, V. M. Hamiltonian Monte Carlo. Gebraad, H., Lu, Y., Ben-Zion, Y. Amplitude Spectra. Wang, N., Olsen, L., Boehm, C., van Driel, M., K. B., Day, S. M. Thrastarson, S., Fichtner, A. 3:15 pm Dynamic Rupture Simulations of the A Breakdown of Source Self- New Insights on the Crustal 3:15 pm Seismic Structure Imaging of San Student: Ground Motion Radiation Structure at the Source Physics M6.4 and M7.1 July 2019 Ridgecrest, Similarity at M5.3 Inferred from Lithology and Seismo-Tectonics Andreas Fault Zone by Scattered Patterns from a Deterministic Experiment Site Revealed by California Earthquakes. Lozos, J., Strong Ground Motion Parameters. of Southern California from Joint Waves from Local Earthquakes at Earthquake Sequence Simulator. Large-N Arrays. Chen, T., Snelson, Harris, R. Ji, C., Archuleta, R. J. Gravity and Full-Wave Inversion. Parkfield, California.Zhang, H., Lin, Milner, K., Shaw, B. E., Richards- C. Shen, Y., Bao, X., Gao, L. Y., Chang, K. Dinger, K. B., Goulet, C. A., Jordan, T. H. 3:30 pm Invited: Untangling the Dynamics Stress Drop and Ground-Motion Invited: Student: Full-Waveform 3:30 pm Invited: Fault Zone Imaging: Past, Beware of the Broken Faults! How Low Can You Go? Source of the 2019 Ridgecrest Sequence by Source Comparison of the July Inversion by Model Extension. Recent, Future. Thurber, C. H. Elbanna, A., Ma, X. Analysis of Low Yield Chemical Integrated Dynamic Rupture and 2019 Ridgecrest Earthquake Biondi, E., Barnier, G. Explosions. Pasyanos, M. E., Dickey, Coulomb Stress Modeling Across Sequence. Baltay, A. S., Parker, G. J. T., Kim, K. an Immature 3D Conjugate Fault A., Abercrombie, R. E., Ruhl, C. J., Network. Taufiqurrahman, T., Neupane, A., et al. Gabriel, A., Carena, S., Verdecchia, A., Li, B., et al. 3:45–4:30 3:45–4:30 Posters and Break (Ballroom) Posters and Break (Ballroom) pm pm

1138 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Exploring Rupture Dynamics and What Can We Infer About the Full-Waveform Inversion: Recent Seismic Imaging of Fault Zones Numerical Modeling of Rupture Explosion Seismology Advances Seismic Wave Propagation Along Earthquake Source Through Advances and Applications (see (see page 1311). Dynamics, Earthquake Ground (continued). Complex Fault Systems (see page Analyses of Strong Ground page 1246). Motion and Seismic Noise (contin- 1223). Motion? (see page 1328). ued). 2:30 pm Dynamic Models of Earthquake Robust Results, Elegant Analyses, Global Adjoint Tomography - Model 2:30 pm Invited: Characterizing the Student: Seismic Phononic Crystals Assessing Explosions at Regional Rupture Along Branch Faults of the Data Driven Science. Archuleta, R. J. GLAD-M25. L e i , W. , Tromp, J., Uppermost 100 M Structure of the Driven by Elastodynamic Navier Scales Using Small Seismic Arrays. Eastern San Gorgonio Pass Region in Ruan, Y., Bozdag, E., Komatitsch, D., San Jacinto Fault Zone Southeast Equation. Lee, D., Rho, J. West, M. E., Karasozen, E. CA using Complex Fault Structure. et al. of Anza, California through Joint Douilly, R., Oglesby, D. D., Cooke, Analysis of Geologic, Topographic, M. L., Hatch, J. L. Seismic and Resistivity Data. Share, P. , Tábořík, P., Štěpančíková, P., Stemberk, J., Rockwell, T. K., et al. 2:45 pm Dynamic Rupture Scenarios Invited: Finite-Fault Source Uncertainty Quantification in 2:45 pm Tomographic Images of the 2016 CyberShake PSHA with Updated Phased Array Analysis Incorporating of Large Earthquakes on the Inversion Including Surface Full Waveform Tomography with Central Italy M6.5 and M6.1 Normal Rupture Models. Callaghan, S., the Continuous Wavelet Transform. Hayward Calaveras Rodgers Creek Topography Effects and 3D Velocity Ensemble Data-Assimilation. Faults by Massive Local Earthquakes Maechling, P. J., Goulet, C. A., Langston, C. A. Fault System, California Using Structure: Application to the Norcia, Thurin, J., Brossier, R., Métivier, L. Tomography. Chiarabba, C., De Milner, K., Graves, R., et al. Observations from Geology and M6.5, 30 October 2016, Central Gori, P., Michele, M., Chiaraluce, L. Geodesy. Harris, R., Barall, M., Italy Earthquake. Scognamiglio, L., Ponce, D., Moore, D., Graymer, R., Casarotti, E., Tinti, E., Magnoni, F. et al. 3:00 pm Effects of Multi-Scale Fault Estimation of the Stress Breakdown Student: Large-Scale Multi- 3:00 pm Student: Hierarchical Seismic Student: A Frequency-Dependent Modeling Distributed Acoustic Complexity on Earthquake Rupture Slip from Strong-Motion Parameter Probabilistic Full- Imaging of the Crust in Southern Spatial Correlation Model of Sensing Signals from an Explosion. and Radiation. M a i , P. Seismograms. Olsen, K. B., Cruz Waveform Inversion Using California. White, M. C. A., Fang, Within-Event Residuals for Fourier Mellors, R. J., Pitarka, A., Abbott, R. Atienza, V. M. Hamiltonian Monte Carlo. Gebraad, H., Lu, Y., Ben-Zion, Y. Amplitude Spectra. Wang, N., Olsen, L., Boehm, C., van Driel, M., K. B., Day, S. M. Thrastarson, S., Fichtner, A. 3:15 pm Dynamic Rupture Simulations of the A Breakdown of Source Self- New Insights on the Crustal 3:15 pm Seismic Structure Imaging of San Student: Ground Motion Radiation Structure at the Source Physics M6.4 and M7.1 July 2019 Ridgecrest, Similarity at M5.3 Inferred from Lithology and Seismo-Tectonics Andreas Fault Zone by Scattered Patterns from a Deterministic Experiment Site Revealed by California Earthquakes. Lozos, J., Strong Ground Motion Parameters. of Southern California from Joint Waves from Local Earthquakes at Earthquake Sequence Simulator. Large-N Arrays. Chen, T., Snelson, Harris, R. Ji, C., Archuleta, R. J. Gravity and Full-Wave Inversion. Parkfield, California.Zhang, H., Lin, Milner, K., Shaw, B. E., Richards- C. Shen, Y., Bao, X., Gao, L. Y., Chang, K. Dinger, K. B., Goulet, C. A., Jordan, T. H. 3:30 pm Invited: Untangling the Dynamics Stress Drop and Ground-Motion Invited: Student: Full-Waveform 3:30 pm Invited: Fault Zone Imaging: Past, Beware of the Broken Faults! How Low Can You Go? Source of the 2019 Ridgecrest Sequence by Source Comparison of the July Inversion by Model Extension. Recent, Future. Thurber, C. H. Elbanna, A., Ma, X. Analysis of Low Yield Chemical Integrated Dynamic Rupture and 2019 Ridgecrest Earthquake Biondi, E., Barnier, G. Explosions. Pasyanos, M. E., Dickey, Coulomb Stress Modeling Across Sequence. Baltay, A. S., Parker, G. J. T., Kim, K. an Immature 3D Conjugate Fault A., Abercrombie, R. E., Ruhl, C. J., Network. Taufiqurrahman, T., Neupane, A., et al. Gabriel, A., Carena, S., Verdecchia, A., Li, B., et al. 3:45–4:30 3:45–4:30 Posters and Break (Ballroom) Posters and Break (Ballroom) pm pm

Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1139 Wednesday, 29 April (continued)

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Exploring Rupture Dynamics and What Can We Infer About the Amphibious Seismic Studies of Advances in Upper Crustal From Aseismic Deformation to Innovative Seismo-Acoustic Seismic Wave Propagation Along Earthquake Source Through Plate Boundary Structure and Geophysical Characterization (see Seismic Transient Detection, Applications to Forensics and Complex Fault Systems (continued). Analyses of Strong Ground Processes (see page 1175). page 1168). Location and Characterization (see Novel Monitoring Problems (see Motion? (continued). page 1243). page 1250). 4:30 pm Student: Shallow Slip Deficit, Slip Imaging Hierarchical Seismic Deflection of the 4:30 pm Student: Seismic Response of Invited: Student: Neural Network Monitoring Power Levels of a Pulses and Event Complexity in a Sources by Seismic Waves. Ide, S. Beneath the Cascadia Continental Nenana Sedimentary Basin, Central Interpretation as a Denoising Tool Nuclear Reactor with Seismo- Model of Seismic Cycle with Low Margin Beneath an Upper Plate Alaska. Smith, K., Tape, C. for Automated Tremor Location. Acoustic Signals Using Machine Velocity Fault Zones. Abdelmeguid, Load: Direct Evidence for a Hulbert, C., Rouet-Leduc, B., Learning. Chai, C., Maceira, M., M., Ma, X., Elbanna, A. Compliant Subducting Plate. Tréhu, Dalaison, M., Johnson, P., Bhat, H. Marcillo, O. E. A., Davenport, K., Kenyon, C., S., et al. Nabelek, J., Toomey, D., Wilcock, W. 4:45 pm Invited: Geometric Controls on Source Time Functions for the Invited: Surface Wave Tomography 4:45 pm The Application of Seismic Double- Student: The Relationship Between A Dataset That Samples the Pulse-Like Rupture in a Dynamic Anchorage Earthquake of 30 Across the Eastern North American Difference Attenuation Tomography Slow Earthquake Activity and Atmosphere with Thousands of Model of the 2015 Gorkha November 2018. Fletcher, J. B., Margin from Amphibious Data. Method to the Geysers Geothermal Frictional Property on the Plate Explosion-Triggered Waveforms Earthquake. Wang, Y., Day, S. M., Baker, L. M., Erdem, J. E. Lynner, C., Janiszewski, H., Eilon, Field, California. Guo, H., Thurber, Boundary Around Japan. Baba, S., on Multiple Scales. Carmichael, J. Denolle, M. A. Z. C. C. H., Nayak, A. Takemura, S., Obara, K., Noda, A. D., Thiel, A., Walter, J. I., Blom, P., Dannemann, F. K. 5:00 pm Invited: Student: Elastoplastic Roughness, Rupture, Radiation and Elastic Wave Constraints on the 5:00 pm Identification of Seismic Reference Event Size Distribution and Observations of Anthropogenic Modeling of the Unusual Uplift of High-Frequency Seismic Waves. Slow-Slip Inter-Plate Boundary in Stations in Europe. Pilz, M., Cotton, Moment-Duration Scaling of Acoustic Waves in the Stratosphere. the Papatea Block in the 2016 M7.8 M a i , P. the Northern Cascadia Subduction F., Kotha, S. R. Low-Frequency Earthquakes in the Bowman, D. C., Garces, M. Kaikoura Earthquake. Donnelly, W., Zone. Calvert, A. J., Bostock, M. G., , Japan. Supino, M., Ma, S. Savard, G., Unsworth, M. J. Shapiro, N., Vilotte, J., Poiata, N., Obara, K. 5:15 pm Back-Propagating Super-Shear 3D Modeling of Ground Motions Invited: Evidence for Geologic 5:15 pm Invited: Spatial Statistics of Invited: The Intricate Relationship Seismo-Acoustic Responses of Rupture in the 2016 M7.1 Romanche for Events in the 2019 Ridgecrest Influence on Subduction Zone Densely Measured Seismic-Velocity of the M7.8 Kaikoura Earthquake Explosions in Different Geological Transform Fault Earthquake. Hicks, Sequence. Graves, R., Pitarka, A. Seismicity During the 2014 M8.2 Variations. Louie, J. N., Dunn, M. E., and Tremors. Romanet, P., Aden- Materials: A Parametric Study S. P., Okuwaki, R., Steinberg, A., Pisagua, Chile Earthquake Sequence Eckert, E. Antoniow, F., Ide, S. of Different Emplacements and Rychert, C., Harmon, N., et al. from Amphibious Controlled-Source Different Energy Depositions. Seismic Data. Davenport, K., Tréhu, Ezzedine, S. M., Vorobiev, O. Y., A., Rietbrock, A., González Rojas, F., Rodgers, A. J., Antoun, T. H., Walter, Ma, B. W. R . 5:30 pm Seismological and Searching for Supershear Rupture at Onshore-Offshore Body Wave 5:30 pm Growing Capabilities of the SAGE/ Student: Interaction Between Slow Earth’s Trembling for Economic Thermochronological Constraints Parkfield.Ellsworth, W., Sleep, N. H. Tomography of the Cascadia IRIS Facility for Conducting Slip Event and Earthquakes: The Growth. Hong, T., Lee, J., Lee, G., on the Thermal State and Present- Subduction Zone: Identifying Near Surface and Upper Crustal Case of the 2017-2018 Guerrero Lee, J., Park, S. Day Seismogenic Depths of the Challenges and Solutions for Shore- Geophysical Studies. Frassetto, A. SSE (Mexican Subduction) Seen Central Alpine Fault, New Zealand. Crossing Data. Bodmer, M., Toomey, M., Sweet, J. R., Beaudoin, B. C., by Remote Sensing. Maubant, L., Michailos, K., Savage, M. K., D., Hooft, E., Schmandt, B. Anderson, K. R., Woodward, R. Pathier, E., Radiguet, M., Daout, S., Townend, J., Sutherland, R. Doin, M., et al. 5:45–6:15 5:45–6:15 Posters and Break (Ballroom) Posters and Break (Ballroom) pm pm

6:15–7:15 Joyner Lecture (Kiva Auditorium) 6:15–7:15 Joyner Lecture (Kiva Auditorium) pm pm 7:15–8:45 Joyner Reception (Outdoor Plaza) 7:15–8:45 Joyner Reception (Outdoor Plaza) pm pm 8:00–9:30 SIG: Seismic Tomography 2020: What Comes Next? (Room 215 + 220) 8:00–9:30 SIG: Seismic Tomography 2020: What Comes Next? (Room 215 + 220) pm pm 8:00–9:30 SIG: SOS: Save Our Seismograms! (Room 230 + 235) 8:00–9:30 SIG: SOS: Save Our Seismograms! (Room 230 + 235) pm pm

1140 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Exploring Rupture Dynamics and What Can We Infer About the Amphibious Seismic Studies of Advances in Upper Crustal From Aseismic Deformation to Innovative Seismo-Acoustic Seismic Wave Propagation Along Earthquake Source Through Plate Boundary Structure and Geophysical Characterization (see Seismic Transient Detection, Applications to Forensics and Complex Fault Systems (continued). Analyses of Strong Ground Processes (see page 1175). page 1168). Location and Characterization (see Novel Monitoring Problems (see Motion? (continued). page 1243). page 1250). 4:30 pm Student: Shallow Slip Deficit, Slip Imaging Hierarchical Seismic Deflection of the Juan de Fuca Plate 4:30 pm Student: Seismic Response of Invited: Student: Neural Network Monitoring Power Levels of a Pulses and Event Complexity in a Sources by Seismic Waves. Ide, S. Beneath the Cascadia Continental Nenana Sedimentary Basin, Central Interpretation as a Denoising Tool Nuclear Reactor with Seismo- Model of Seismic Cycle with Low Margin Beneath an Upper Plate Alaska. Smith, K., Tape, C. for Automated Tremor Location. Acoustic Signals Using Machine Velocity Fault Zones. Abdelmeguid, Load: Direct Evidence for a Hulbert, C., Rouet-Leduc, B., Learning. Chai, C., Maceira, M., M., Ma, X., Elbanna, A. Compliant Subducting Plate. Tréhu, Dalaison, M., Johnson, P., Bhat, H. Marcillo, O. E. A., Davenport, K., Kenyon, C., S., et al. Nabelek, J., Toomey, D., Wilcock, W. 4:45 pm Invited: Geometric Controls on Source Time Functions for the Invited: Surface Wave Tomography 4:45 pm The Application of Seismic Double- Student: The Relationship Between A Dataset That Samples the Pulse-Like Rupture in a Dynamic Anchorage Earthquake of 30 Across the Eastern North American Difference Attenuation Tomography Slow Earthquake Activity and Atmosphere with Thousands of Model of the 2015 Gorkha November 2018. Fletcher, J. B., Margin from Amphibious Data. Method to the Geysers Geothermal Frictional Property on the Plate Explosion-Triggered Waveforms Earthquake. Wang, Y., Day, S. M., Baker, L. M., Erdem, J. E. Lynner, C., Janiszewski, H., Eilon, Field, California. Guo, H., Thurber, Boundary Around Japan. Baba, S., on Multiple Scales. Carmichael, J. Denolle, M. A. Z. C. C. H., Nayak, A. Takemura, S., Obara, K., Noda, A. D., Thiel, A., Walter, J. I., Blom, P., Dannemann, F. K. 5:00 pm Invited: Student: Elastoplastic Roughness, Rupture, Radiation and Elastic Wave Constraints on the 5:00 pm Identification of Seismic Reference Event Size Distribution and Observations of Anthropogenic Modeling of the Unusual Uplift of High-Frequency Seismic Waves. Slow-Slip Inter-Plate Boundary in Stations in Europe. Pilz, M., Cotton, Moment-Duration Scaling of Acoustic Waves in the Stratosphere. the Papatea Block in the 2016 M7.8 M a i , P. the Northern Cascadia Subduction F., Kotha, S. R. Low-Frequency Earthquakes in the Bowman, D. C., Garces, M. Kaikoura Earthquake. Donnelly, W., Zone. Calvert, A. J., Bostock, M. G., Nankai Trough, Japan. Supino, M., Ma, S. Savard, G., Unsworth, M. J. Shapiro, N., Vilotte, J., Poiata, N., Obara, K. 5:15 pm Back-Propagating Super-Shear 3D Modeling of Ground Motions Invited: Evidence for Geologic 5:15 pm Invited: Spatial Statistics of Invited: The Intricate Relationship Seismo-Acoustic Responses of Rupture in the 2016 M7.1 Romanche for Events in the 2019 Ridgecrest Influence on Subduction Zone Densely Measured Seismic-Velocity of the M7.8 Kaikoura Earthquake Explosions in Different Geological Transform Fault Earthquake. Hicks, Sequence. Graves, R., Pitarka, A. Seismicity During the 2014 M8.2 Variations. Louie, J. N., Dunn, M. E., and Tremors. Romanet, P., Aden- Materials: A Parametric Study S. P., Okuwaki, R., Steinberg, A., Pisagua, Chile Earthquake Sequence Eckert, E. Antoniow, F., Ide, S. of Different Emplacements and Rychert, C., Harmon, N., et al. from Amphibious Controlled-Source Different Energy Depositions. Seismic Data. Davenport, K., Tréhu, Ezzedine, S. M., Vorobiev, O. Y., A., Rietbrock, A., González Rojas, F., Rodgers, A. J., Antoun, T. H., Walter, Ma, B. W. R . 5:30 pm Seismological and Searching for Supershear Rupture at Onshore-Offshore Body Wave 5:30 pm Growing Capabilities of the SAGE/ Student: Interaction Between Slow Earth’s Trembling for Economic Thermochronological Constraints Parkfield.Ellsworth, W., Sleep, N. H. Tomography of the Cascadia IRIS Facility for Conducting Slip Event and Earthquakes: The Growth. Hong, T., Lee, J., Lee, G., on the Thermal State and Present- Subduction Zone: Identifying Near Surface and Upper Crustal Case of the 2017-2018 Guerrero Lee, J., Park, S. Day Seismogenic Depths of the Challenges and Solutions for Shore- Geophysical Studies. Frassetto, A. SSE (Mexican Subduction) Seen Central Alpine Fault, New Zealand. Crossing Data. Bodmer, M., Toomey, M., Sweet, J. R., Beaudoin, B. C., by Remote Sensing. Maubant, L., Michailos, K., Savage, M. K., D., Hooft, E., Schmandt, B. Anderson, K. R., Woodward, R. Pathier, E., Radiguet, M., Daout, S., Townend, J., Sutherland, R. Doin, M., et al. 5:45–6:15 5:45–6:15 Posters and Break (Ballroom) Posters and Break (Ballroom) pm pm

6:15–7:15 Joyner Lecture (Kiva Auditorium) 6:15–7:15 Joyner Lecture (Kiva Auditorium) pm pm 7:15–8:45 Joyner Reception (Outdoor Plaza) 7:15–8:45 Joyner Reception (Outdoor Plaza) pm pm 8:00–9:30 SIG: Seismic Tomography 2020: What Comes Next? (Room 215 + 220) 8:00–9:30 SIG: Seismic Tomography 2020: What Comes Next? (Room 215 + 220) pm pm 8:00–9:30 SIG: SOS: Save Our Seismograms! (Room 230 + 235) 8:00–9:30 SIG: SOS: Save Our Seismograms! (Room 230 + 235) pm pm

Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1141 Wednesday, 29 April (continued) Poster Sessions Fajardo, K. C., Cruz-Jiménez, H., Ruelas, A., Nagashima, Please note: Poster numbers may not be listed sequentially. F., Roullé, A., Sánchez-Sesma, F. J., Papageorgiou, A. S. 15. Student: Seismic Probing of an Asteroid Using One Advances in Seismic Imaging of Earth’s Mantle and Core Source and One Receiver. Tian, Y., Zheng, Y. and Implications for Convective Processes (see page 1165). 16. Student: Sensitivity Analysis and Testing of Joint Inversion with Gravity and Cosmic Ray Muon Data for 1. Student: Shear Wave Splitting in the Caucasus Prediction of Shallow Subsurface Density Variations. Mountains. Martinetti, L. B., Mackey, K., Sandvol, E., Cosburn, K. S. B., Spears, B., Roy, M. Nabelek, J., Godoladze, T., Vinogradov, Y., Babayan, H., 17. Shallow Shear-Wave Velocity and Crustal Structure in Yeterirmishlii, G. the Seattle and Tacoma Basins from Microtremor Array 2. Student: Revisiting the High-Velocity Anomalies in the Analysis. Stephenson, W. J., Odum, J. K., Leeds, A. Great Basin, Exploring the Role of Seismic Anisotropy. 18. Student: Surface Wave Methods in Inversely Dispersive Zhu, Z. and Non-1D Sites. Boucher, C. 3. SH-SV Polarization Anisotropy: Isotropic Interpretation 19. The Deformation Front of the Seattle Fault Near of Experimentally Measured Love and Rayleigh Wave Downtown Seattle: Constraints from New Active Source Phase Velocities and Amplitude Attenuations. Schwab, F., Seismic Data. Liberty, L. M. Gurung, G., Lee, W., Jo, B. 20. Updating the USGS San Francisco Bay Area 3D Seismic 4. Crustal Characteristics in the Subduction Zone of Velocity Model: Special Focus on the North Bay. Mexico: Implication of the Tectonostratigraphic Terranes Hirakawa, E. T., Aagaard, B. T. on Slab Tearing. Ortega, R., Carciumaru, D., Castillo- Castellanos, J. Amphibious Seismic Studies of Plate Boundary Structure 5. Slow Earth’s Inner Core Motion. Wang, W., Vidale, J. and Processes (see page 1176).

Advances in Upper Crustal Geophysical Characterization 111. Student: Using Surface Waves to Detect Seismic Sources (see page 1169). in Alaska. Luo, X., Fan, W. 112. Results from 60 Years of Crustal-Scale Active-Source 6. Calibration of the U.S. Geological Survey National Wide-Angle Seismic Profiling in Cascadia. Brocher, T. Crustal Model for Seismic Hazard Studies. Boyd, O. S. 113. Student: Along-Strike Crustal Structure of the Eastern 7. Comparison of Teleseismic Responses at a Co-Located North American Margin within the East Coast Magnetic High-Rate and High-Density Tilt and Seismic Array Anomaly. Brandl, C. C., Lowe-Worthington, L., Magnani, in Florida. Grapenthin, R., Bilek, S., Luhmann, A., M., Shillington, D. J. Gochenour, J. 114. Student: Imaging the Subducted Gorda Plate with 8. Student: Crustal Rheology and Links to Possible Converted Phases and Trapped Waves. Gong, J., McGuire, Uplift Mechanisms Revealed by Lg-Wave Attenuation J. J. Tomography in the Anatolia Plateau. Zhu, W., Zhao, L., 115. Dendrochronological Dating of Co-Seismic Land-Level Xie, X., Yao, Z. Changes Along the Washington Coast. Pearl, J. K., Black, 9. Crustal Structure, Imaged by 3D Seismic Attenuation, B. A., Pringle, P., Sherrod, B. L. Exerts Influence on Multiple Fault Rupture of the 116. Characterize Earthquake Ground Motions along the Kaikoura M7.8 Earthquake, New Zealand. Eberhart- Cascadia Margin Using Seismic Interferometry. Yang, X., Phillips, D., Bannister, S., Lanza, F. Ma, Z., Denolle, M. A. 10. ML Amplitude Tomography from US Array Data for the 117. Raised Shorelines Along the Pacific and Juan De Fuca Continental US. Hearn, T. M. Coasts of the Olympic Peninsula, Washington State, USA. 11. Multi-Mode Surface Wave Inversion of the Sherrod, B. L., Kelsey, H. M. Sedimentary Basin. Jiang, C., Denolle, M. A. 118. Paleoseismic Segmentation in Cascadia: Possible Link to 12. Numerical Simulation of Flow, Heat and Chemical Juan De Fuca/Gorda Rift Propagator Wakes. Goldfinger, Transport Processes in Volcanic Chambers Partially C. Filled with Molten Rock. Ezzedine, S. M., Antoun, T. H., Walter, W. R. Earthquake Early Warning: Current Status and Latest 13. Passive Seismic Investigations of the Valles Caldera dur- Innovations (see page 1204). ing SAGE 2019. Mostafanejad, A., Lumley, D., Bedrosian, P., James, S. 119. Performance Evaluation of a Dense MEMS-Based 14. Quantitative Analysis of Surface Wave Propagation from Seismic Sensor Array Deployed in the -Yunnan Recorded Seismograms in the Mexico City Valley. Meza- 1142 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Wednesday, 29 April (continued) Border Region for Earthquake Early Warning. Peng, C., Environmental and Near Surface Seismology: From Jiang, P., Chen, Q., Ma, Q. Glaciers and Rivers to Engineered Structures and Beyond 120. Earthquake Magnitudes and Ground Motions Derived (see page 1220). from Borehole Strainmeter Data. Farghal, N. S., Baltay, A. S., Barbour, A., Langbein, J. 37. The Influence of Environmental Microseismicity on 121. Validating Ground Motion Predictions from Peak Detection and Interpretation of Small-Magnitude Events Ground Displacement Scaling in Cascadia Simulations. in a Polar Glacier Setting. Carmichael, J. D., Carr, C. G., Crowell, B. W., Melgar, D., Kwong, K. B., Williamson, A. Pettit, E. C., Truffer, M. L. 38. Student: Monte Carlo Simulations of Multiple Scattered 122. ShakeAlert Earthquake Early Warning Time-to-Alert Body and Rayleigh Waves in Elastic Media. Xu, Z., Improvements in California and the Push for Seismic Margerin, L., Mikesell, T. D. Network Build-Out. Biasi, G., Stubailo, I. 39. Student: Tidally Induced Icequake Swarms at the 123. An EPIC Machine Learning Implementation. Chung, A. Grounded Margins of the Ross Ice Shelf, Antarctica. Cole, I., Meier, M., Henson, I., Allen, R. M. H. M., Aster, R. C., Baker, M. G., Chaput, J., Bromirski, P. 124. The Limits of Effective Earthquake Early Warning by D., Gerstoft, P., Stephen, R. A., Nyblade, A., Wiens, D. A. Estimating Mw: From Viewpoint of Real-Time Prediction 40. An Improved Method to Compute the High-Frequency of Strong Motion. Hoshiba, M. Seismograms for Near-Surface Sources, Application to 125. Optimization of ElarmS3 in Korean Peninsula Using the 2017 Xinmo Landslide. Qian, Y., Li, Z., Chen, X., Simulation. Ahn, J., Lim, D. Wa n g , W. 126. Investigating Earthquake Early Warning Feasibility across 41. Earthquakes and Low-Frequency Signals Recorded from Europe. Cremen, G., Zuccolo, E., Galasso, C. the Great Lakes. Yao, D., Huang, Y. 127. The Future Strong Motion National Seismic Networks in 42. Time-Lapse Seismic Characterization of Calving Events Central America Designed for Earthquake Early Warning. at Helheim Glacier. Behm, M., Walter, J. I., Yan, P., Massin, F., Clinton, J., Racine, R., Rossi, Y., Böse, M., Holland, D. M. Strauch, W., Maroquin, G., Linkimer, L., Protti, M., Yani, 43. Detecting Characteristic Microseismic Signals and R., Chavez, E. Precursory Signals Related to the Cavity Roof Stability 128. 25-Second Determination of 2019 M7.1 Ridgecrest for Solution Salt Mining in Dingyuan, China. Zhang, H., Earthquake Coseismic Deformation from Global GNSS Qian, J., Wang, K., Tan, Y. Seismic Monitoring. Melbourne, T. I., Szeliga, W., 44. Abundant Spontaneous and Dynamically Triggered Santillan, M., Scrivner, C. Submarine Landslides in the Gulf of Mexico. Fan, W., 129. SCSN Advanced Telemetry Planning Tools and Real- Shearer, P. M. Time System Monitoring. Stubailo, I., Alvarez, M., Biasi, 45. Student: Propagation of Symmetric Mode Lamb Waves G., Bhadha, R., Bruton, C., Watkins, M., Hauksson, E., from the Grounded Margins of the Ross Ice Shelf in Thomas, V. Response to Teleseismic S-Wave Arrivals. Baker, M. G., 130. Considerations for a National Earthquake Early Warning Aster, R. C., Nyblade, A., Wiens, D. A., Bromirski, P. D., System for Canada. Crane, S., Seywerd, H., Adams, J., Gerstoft, P., Stephen, R. A. McCormack, D. 46. Ocean Seismic Thermometry.Wu , W. 131. Ground Acceleration Induced GNSS Satellite Loss-of- 47. Sacramento Levee Failure Risk Study. Nyst, M., Eads, L., Lock During the 2016 M7.8 Kaikōura Earthquake, New Fitzenz, D. D., Seyhan, E., Velasquez, J. Zealand. Grapenthin, R., D’Anastasio, E. 132. Earthquake Early Warning Testing Developments: Exploring Rupture Dynamics and Seismic Wave Generation of Realistic Warning Times for Large Propagation Along Complex Fault Systems (see page 1225). Magnitude Events. Smith, D. E., Good, A., McGuire, J. J., O’Rourke, C. T., Meier, M., Böse, M. 68. Estimation of Rupture Zones for Large, Aleutian–Alaska 133. Using the Caltech Community Seismic Network for Megathrust Earthquakes Using Relocated Aftershocks. Early Warning. Heaton, T., Böse, M., Meier, M., Bunn, J., Lomax, A., Tape, C. Felizardo, C., Kohler, M., Clayton, R. W., Guy, R., Chandy, 69. Student: Cascadia Earthquake and Tsunami Scenarios K. M., Filippitzis, F. Based on 3D Dynamic Rupture Simulations. Ramos, 134. Examination of Event Dependent Latency Values for M., Salaree, A., Huang, Y., Li, D., Ulrich, T., Gabriel, A., the Earthquakes Recorded by the Northern California Thomas, A. Earthquake Data Center for Use in ShakeAlert. Terra, F., 70. Fault Opening Related to Free Surface Interaction on Hellweg, M., Neuhauser, D., Henson, I., Milligan, P. Reverse Faults: Insights from Numerical Modeling. Bruhat, L., Rougier, E., Okubo, K., Bhat, H. S. Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1143 Wednesday, 29 April (continued) 71. Three Dimensional Dynamic Earthquake Rupture 62. Student: Phase Attenuation in Eastern Russia Using Simulations of the Peaceful Nuclear Explosion Seismograms. Burkhard, K., Incorporating Its Along-Strike Variation in the Fore-Arc Phillips, W. S., Mackey, K., Dobrynina, A. Deformation Style. Aslam, K., Thomas, A. 63. Simulation of Near-Field Ground Motion in Anisotropic 72. The Holocene Paleoseismic History of a Complex Normal Jointed Rock Masses Triggered by Underground Chemical Fault System: The Pajarito Fault System Near Los Alamos, Explosions. Vorobiev, O. Y., Ezzedine, S. M., Antoun, T. New Mexico and Its Implications for Seismic Hazard. H. Schultz-Fellenz, E., Swanson, E., Crawford, B., Givler, R., Baldwin, J., Lettis, W., Rockwell, T., Olig, S., Machette, M., From Aseismic Deformation to Seismic Transient McDonald, E., Bloszies, C., Gray, B., Hartleb, R. Detection, Location and Characterization (see page 1245).

Explosion Seismology Advances (see page 1230). 73. Student: 2017-2019 SSE Sequence and Its Interaction with Large Earthquakes in Mexico. Kazachkina, 48. A Method to Fuse Multi-Physics Waveforms and Improve E., Radiguet, M., Cotte, N., Jara, J., Walpersdorf, A., Predictive Explosion Detection: Theory, Experiment and Kostoglodov, V. Performance. Carmichael, J. D., Symons, N. P., Begnaud, 74. Stress Modeling and Active Tectonics in the Northwest M. L. Himalayan Region, India: Implications for Incomplete 49. Explosion Yield Estimation by Distributed Acoustic Ruptures of MHT and Seismic Hazard Assessment. Sensing: Insights from the Source Physics Experiments. Kumar, S., Parija, M. Ford, S. R., Mellors, R. J., Gok, R. 75. Student: Diversity of Earthquake Source Processes in 50. Comparison of Distributed Acoustic Sensing and Minto Flats Fault Zone, Central Alaska. Sims, N., Tape, Co-Located Geophones of a Chemical Explosion in a C., Kaneko, Y. Borehole at Blue Canyon Dome. Young, B. A., Chojnicki, 76. Student: Analysis of the Atypical 2018 and 2019 K. N., Knox, H. A., Lowrey, J. D. Episodic Tremor and Slip Events in Northern Cascadia. 51. The Effects of Minute-Scale Atmospheric Variability on Bombardier, M., Hobbs, T. E., Cassidy, J. F., Kao, H., the Acoustic Signature of Surface Explosions. Bowman, Dosso, S. E. D. C., Kim, K. 77. Low-Frequency Earthquakes Accompany Deep Slow- 52. Seismic Source Inversions from Simulations of Slip Beneath the North Island of New-Zealand. Aden- Underground Chemical Explosions in Cavities. Preston, Antoniow, F., Frank, W. B., Chamberlain, C. J., Townend, L. A., Eliassi, M., Gullerud, A. J., Wallace, L. M., Bannister, S. 53. Finite-Difference Algorithm for 3D Orthorhombic Elastic 78. Student: Overlapping Regions of Coseismic and Wave Propagation. Jensen, R. P., Preston, L. A. Transient Slow Slip on the Hawaiian Décollement. Lin, J., 54. Far-Field Ground Motion Characteristics from Aslam, K., Thomas, A., Melgar, D. Underground Chemical Explosions in Dry Alluvium. Pitarka, A., Ichinose, G., Walter, W. R. Full-Waveform Inversion: Recent Advances and 55. Estimation of Explosion-Induced Spall Surface Using a Applications (see page 1247). Parametric Inversion of Infrasound Data. Poppeliers, C. 56. A Unified Direct-Plus-Coda Amplitude Model for 21. Student: Anelastic Global Adjoint Tomography: Initial Explosion Monitoring. Phillips, W. S. Results. Orsvuran, R., Bozdag, E., Peter, D. B. 57. Imaging the Shallow Structure of the Yucca Flat at the 22. Adjoint Tomography Based on the Differential Source Physics Experiment Phase II Site with Horizontal- Measurements of Ambient Noise Correlations. Liu, X., to-Vertical Spectral Ratio Inversion and a Large-N Beroza, G. C. Seismic Array. Alfaro-Diaz, R. A., Chen, T. 23. Full-Waveform Inversion of the Middle East and Its 58. Local Distance P/S Amplitude Ratios for Event Surrounding Region. Desilva, S., Bozdag, E., Nolet, G., Discrimination. Pyle, M. L., Walter, W. R. Gok, R. 59. Student: Machine Learning Methods to Catalog Nuclear 24. Student: Sensitivity Study of Local Shear-Wave Splitting Sources from Diverse, Widely Distributed Sensors. to 3D Anisotropic Structures. Gupta, A., Richards, C., Barama, L., Williams, J., Peng, Z. Modrak, R., Tape, C., Abers, G. A. 60. Waveform Classification Using Machine Learning. 25. Student: Accelerating Full-Waveform Inversion Aleqabi, G., Wysession, M. by Stochastic and Adaptive Event Subsampling. van 61. Large-N Array Seismology at the Source Physics Herwaarden, D., Boehm, C., Afanasiev, M., Thrastarson, Experiment. Matzel, E., Mellors, R. J., Magana-Zook, S. S., Krischer, L., Trampert, J., Fichtner, A. 1144 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 26. Student: Isolating the Structural Contributions to the Pn 83. Toward a Regional 3D Velocity Model for the Fort Worth Shadow Zone of the Sierra Nevada, California. Bogolub, Basin Using Local and Regional Arrival Times and K. R., Jones, C., Roecker, S. Converted Waves. DeShon, H. R., Hayward, C. 27. Student: Using Wavefield Adapted Meshes in a Global 84. Student: Effects of Seismicity Mitigation Practices Scale Full-Waveform Inversion. Thrastarson, S., van Captured in Time-Lapse of Induced Earthquake Fault Herwaarden, D., Krischer, L., Boehm, C., van Driel, M., Activation. Chon, E. R., Sheehan, A. Afanasiev, M., Fichtner, A. 85. Modeling Hazard from Induced Seismicity in Oklahoma. 28. Towards Imaging Yellowstone’s Crustal Magmatic System Kraner, M., Wang, F., Shen-Tu, B. with Ambient Noise Adjoint Tomography. Maguire, R., 86. Stress Drop Measurements of Induced Earthquakes in Schmandt, B., Chen, M. Delaware Basin, Texas. Yao, D., Huang, Y., Chen, J. A. 29. Characterization of the Blue Mountain Geothermal Field 87. Student: Temporal Variations in Seismic Velocity Using Anisotropic Elastic-Waveform Inversion. Gao, K., via Ambient Noise Interferometry: Application to Huang, L. Wastewater Injection and Induced Seismicity. Clifford, T. 30. Time-Lapse Reservoir Monitoring at the Farnsworth M., Sheehan, A., Ball, J. S.

CO2-EOR Field Using 3D Elastic-Waveform Inversion in 88. Seismicity in Southeastern New Mexico. Rubinstein, J., Anisotropic Media. Liu, X., Huang, L., Gao, K., El-kaseeh, Litherland, M. G., Czoski, P., Will, R. 89. Student: Forecasting Induced Seismicity in Oklahoma 31. Seismic Attenuation at the Blue Mountain Geothermal Using Machine Learning Methods. Qin, Y., Chen, T., Ma, Field. Feng, Z., Huang, L. X. 90. Efficiency Evaluation of the Seismic Monitoring Systems in Innovative Seismo-Acoustic Applications to Forensics and the Italian Off-Shore as a Feedback for Induced Seismicity Novel Monitoring Problems (see page 1251). Detection Capability within Oil-Gas Exploitation Plants. Anselmi, M., De Gori, P., Buttinelli, M., Chiarabba, C. 64. Structural Health Monitoring Using Multi-Parameter 91. Induced Acoustic Emission Activity Associated with the Information: Case of the Kurpsai Dam in the Kyrgyz STIMTEC In-Situ Hydraulic-Fracturing Experiment. Republic. Pilz, M., Fleming, K., Orunbaev, S. Boese, C., Kwiatek, G., Dresen, G., Renner, J., Fischer, T., 65. Leveraging Full-Waveform Simulations to Learn Plenkers, K., Adero, B., Becker, F., Fruehwirt, T., Janssen, Featured-Based Models for Bayesian Seismic Monitoring. C., Jimenez-Martinez, V. A., Klee, G., Rehde, S., Wonik, T. Catanach, T. A., Downey, N. J., Young, C. 92. Investigating Large-Scale Physical and Statistical 66. An Acoustic Metamaterial Sensing Unit for Infrasound Correlations Associated with Induced Seismicity. Hicks, Direction of Arrival Detection. Rouse, J. W., Bowman, D. S. P., Goes, S., Stafford, P., Whittaker, A. C., Walsh, T. 93. Student: Microseismic Monitoring at Farnsworth CO2- 67. Student: A Direct Comparison Between Established EOR Field Using Borehole and Surface Geophones. Li, J., Infrasonic Data Processing Pipelines from the DNE18 Huang, L., Li, D., Czoski, P., El-kaseeh, G., Horton, A., Virtual Experiment. Dannemann Dugick, F. K., Albert, Will, R. S., Blom, P., Ronac Giannone, M. 94. Value at Induced Risk: Injection-Induced Seismic Risk from Low-Probability, High-Impact Events. Mechanisms of Induced Seismicity: Pressure Diffusion, Langenbruch, C., Ellsworth, W., Woo, J., Wald, D. J. Elastic Stressing and Aseismic Slip (see page 1263). 95. What Can Microseismicity at the First Collab EGS Site Tell Us About the Subsurface Fracture Network? Templeton, 79. Student: Verification of Pressure Surge Effect in the D., Morris, J., Schoenball, M., Wood, T., Robertson, Fracture. Jin, Y., Zheng, Y., Dyaur, N. M., Cook, P., Dobson, P., Ulrich, C., Ajo-Franklin, J. B., 80. Student: Risk-Informed Recommendations for Kneafsey, T., Petrov, P., Schwering, P., Blankenship, D., Managing Hydraulic Fracturing Induced Seismicity Knox, H., Huang, L. via Traffic Light Protocols. Schultz, R., Beroza, G. C., Ellsworth, W., Baker, J. Numerical Modeling of Rupture Dynamics, Earthquake 81. Student: Characterizing Seismicity in the Raton Basin Ground Motion and Seismic Noise (see page 1284). from 2016–2019. Glasgow, M. E., Wang, R., Schmandt, B., Rysanek, S., Stairs, R. K. 96. Student: Deterministic Large-Scale Wavefield 82. Seismogenic Structure and Mechanism of the Ms6.0/ Simulations Carried Out at Service Hall Array and Their Mw5.8 Sichuan Changning Earthquake. Fang, L., Yang, T. Validation Using NGA-West2 Suit of GMPEs. Saxena, S., Motamed, R., Ryan, K. Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1145 97. Source and Path Effects Analysis from a Series of SW4 Seismic Imaging of Fault Zones (see page 1312). Simulations of M7.0 Earthquake Ground-Motions in Three-Dimensional Earth Models.Aguiar, A. C., Pitarka, 32. Student: Crustal Structure Beneath the Kumaon A., Rodgers, A. J. Himalaya and Its Linkage with Local Seismicity. Hazra, 98. Assessment of the Variability of Basin Nonlinearity and S., Hazarika, D., Kumar, N., Pal, S. K. Near-Field Ground Motion in Kathmandu, Nepal Due to 33. Student: Insight into Metallogenic Mechanism of the Obliquely Incident Seismic Waves. Oral, E., Ayoubi, P., Kalatongke Orefield in Northwest China from a High- Ampuero, J., Asimaki, D., Bonilla, L. Resolution Deep Seismic Reflection Image.Zhang, L., 99. A Machine Learning Approach to Developing Ground Zhao, L., Xie, X., Yao, Z. Motion Models from Simulated Ground Motions. 34. Internal Structure of the San Jacinto Fault Zone at the Withers, K., Moschetti, M. P., Thompson, E. M. Ramona Reservation, North of Anza, California from 100. Validation of Broadband Ground Motion from Dynamic Data of Dense Seismic Arrays. Qin, L., Share, P., Qiu, H., Rupture Simulations: Towards Better Characterizing Allam, A. A., Vernon, F. L., Ben-Zion, Y. Seismic Hazard for Engineering Applications. Withers, 35. Student: Iterative Deterministic and Bayesian Seismic K., Ma, S., Ampuero, J., Dalguer, L., Wang, Y., Oral, E., Imaging of the Zone, Utah. Berg, E. M., Goulet, C. A. Allam, A. A., Burlacu, R., Koper, K. D., Pankow, K. 101. A High Order End to End Octree-Based Finite Element 36. Student: Fault Damage Zones in 3D With Active-Source Solver. Ramirez-Guzman, L., Ayala Milian, G. Seismic Data. Alongi, T., Brodsky, E. E., Kluesner, J., 102. Relationships Between Dynamic Strains and Ground Brothers, D. Motions from Numerical Simulations of Elastic Wave Propagation. Hirakawa, E. T., Farghal, N. S., Barbour, A., What Can We Infer About the Earthquake Source Through Baltay, A. S. Analyses of Strong Ground Motion? (see page 1331). 103. Student: An Empirical Ground-Motion Prediction Model for Induced Earthquakes in Central and Eastern 107. Student: Variability of Seismic Radiation of Repeating United States. Farajpour, Z., Pezeshk, S. Events as a Clue for Understanding Intermediate-Depth 104. Student: Updating the Reno Community Velocity Earthquake Rupture. Cubillos, S., Prieto, G. A. Model. Dunn, M. E., Eckert, E., Louie, J. N., Smith, K. D. 108. Variability in Synthetic Earthquake Ground Motions 105. Generation and Validation of Broadband P-Waves in Caused by Source Variability and Errors in Wave Semi-Stochastic Models of Large Earthquakes. Goldberg, Propagation Models. Spudich, P. A., Cirella, A., D. E., Melgar, D. Scognamiglio, L., Tinti, E. 106. Fully Nonergodic Ground Motion Models in Central 109. Dynamic Rupture and Ground Motion Modeling of the and Northern California Using NGA-West2 and SCEC 2016 M6.2 Amatrice and M6.5 Norcia, Central Italy, Cybershake Datasets. Meng, X., Goulet, C. A., Milner, K., Earthquakes Constrained by Bayesian Dynamic Source Callaghan, S. Inversion. Taufiqurrahman, T., Gabriel, A., Gallovic, F., Valentova, L. 110. Numerical Simulation of Pulse-Like Ground Motions During the 2011 Tohoku Earthquake. Nozu, A.

1146 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1147 Thursday, 30 April—Oral Sessions

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Data Fusion and Uncertainty Early Results from the 2020 M6.4 Earthquake Source Parameters: Photonic Seismology (see page Waveform Cross-Correlation- Seismicity and Tectonics of Stable Quantification in Near-Surface Site Indios, Puerto Rico Earthquake Theory, Observations and 1295). Based Methods in Observational Continental Interiors (see page Characterization (see page 1193). Sequence (see page 1194). Interpretations (see page 1210). Seismology (see page 1323). 1314). 8:30 am Invited: Modeling the Horizontal- Local Tomography of the Puerto Aftershock Deficiency of Induced 8:30 am Invited: Utilizing Distributed Student: Burst-Type Repeating Student: Seismotectonic Regions to-Vertical Spectral Ratio and the Rico-Virgin Islands Microplate. Earthquake Sequences During Rapid Acoustic Sensing and Ocean Bottom Earthquakes as a Proxy for Transient for Germany - Concept and Results. Inversion of Subsoil Properties Using Vanacore, E. A. Mitigation Efforts in Oklahoma. Fiber Optic Cables for Fault Zone Aseismic Slip. Shaddox, H. R., Hahn, T. the Diffuse Field Theory. Sánchez- Goebel, T. H. W., Rosson, Z., Characterization. Ajo-Franklin, J. Schwartz, S. Y., Bartlow, N. M. Sesma, F. J. Brodsky, E. E., Walter, J. I. B., Cheng, F., Shang, Y., Lindsey, N. J., Dawe, C. 8:45 am Heterogeneous Data Assimilation The U.S. Geological Survey Response Aftershock Evolution of the 2017 8:45 am Student: Distributed Acoustic Invited: Earthquake Waveform Australia’s AUS7 Seismotectonic for Site Characterization Using the and Research Related to the January M5.5 Pohang Earthquake: A Possible Sensing Monitoring at the First Similarity as a Tool to Image Stress Model - A Product of 30 Years Ensemble Kalman Method. Seylabi, 2020, M6.4 Southwest Puerto Rico Post-Seismic Relaxation within EGS Collab Testbed. Li, D., Huang, and Fault Complexity: Application of Continuous Improvements of E., Stuart, A., Asimaki, D. Earthquake Sequence. Hayes, G. P., Heterogeneous Fault System. Woo, L., Chi, B., Ajo-Franklin, J. B., to the 2019 Ridgecrest Earthquake Earthquake Hazard Data, Concepts Yeck, W., Shelly, D. R., Earle, P., Benz, J., Kim, M., Rhie, J., Kang, T. Schoenball, M., et al. Sequence. Trugman, D. and Techniques. Borleis, E., H., et al. Peck, W., Ninis, D., Gibson, G., Cuthbertson, R. 9:00 am Velocity Structure Inversion The Puerto Rico Seismic Network Monitoring Induced Earthquakes at 9:00 am Towards Good Practice of Cable Student: Seismo: Semi-Supervised A Far-Field Ground-Motion Model Based on Diffuse Field Concept Response to the Southwestern Puerto the Preston New Road Shale Gas Site, Layout for Surface Distributed Time Series Motif Discovery for for Northern Australia from Plate for Earthquake Together with the Rico Seismic Sequence. Baez- Blackpool, UK. Holt, J., Mesimeri, Acoustic Sensing. Edme, P., Paitz, P., Seismic Signal Detection. Siddiquee, Margin Earthquakes. Allen, T. I. Earthquake-to-Microtremor Ratio Sanchez, G., Miranda Berrocales, V., M., Edwards, B., Suroyo, P., Koper, Nap, A., Metraux, V., Martin, F., et al. M., Akhavan, Z., Mueen, A. (EMR) Method for Microtremors. Colón Rodríguez, B., Huérfano, V. K. D. Nagashima, F., Kawase, H., Ito, E., A., Vanacore, E. A., et al. Mori, Y. 9:15 am Invited: Urban Seismic Site The Pacific Tsunami Warning Student: Using Frequency Domain 9:15 am Coda Amplitude Measurements Revisiting the Earthquake Catalog Miocene-Recent Crustal Characterization with Fiber-Optic Center’s Response to the Intensive Anomalies to Mark the Onset of Using Distributed Acoustic Sensing of Mount St. Helens 2004-2008 Reactivation of the North Tibetan Seismology. Beroza, G. C., Spica, Z. Earthquake Sequence South of Fault Activation Due to Hydraulic (DAS) Data. Gok, R., Mellors, R. J. Eruption. Wang, R., Schmandt, B., Foreland, Western Hexi Corridor J., Perton, M., Martin, E. R., Biondi, Puerto Rico in January 2020. Fracturing. Igonin, N., Gonzalez, K., Zhang, H. and Southern Beishan, China: B. Sardina, V., Koyanagi, K., Wang, D., Eaton, D. Implications for Intraplate Preller, C., Walsh, D., et al. Earthquake Hazards in Slowly Deforming Regions of Central Asia. Cunningham, D. 9:30 am Uncertainty Propagation and Statistical Seismology and Student: Large Uncertainties in 9:30 am Fiber Optics for Environmental Invited: Successes, Challenges and Student: The Oldest Continental Stochastic Interpretation of Communication of the U.S. Stress Drop Estimates and Their Sense-Ing (Foresee) at Pennsylvania Opportunities in Using Waveform Nucleus Beneath the South China Shear Motion Generation Due to Geological Survey Aftershock Tectonic Consequences. Neely, J. S., State University. Zhu, T., Martin, E. Cross-Correlation for Volcano Block, Constrained by Regional Underground Chemical Explosions Forecasts for the Southwest Puerto Stein, S., Spencer, B. D. R., Shen, J., Hone, S. Monitoring. Hotovec-Ellis, A. J., Lg-Wave Attenuation Tomography. in Jointed Rock. Ezzedine, S. M., Rico Earthquake Sequence of Thelen, W. A., Dawson, P. B., Shiro, Shen, L., Zhao, L., Xie, X., Yao, Z. Vorobiev, O. Y., Antoun, T. H., 2019–2020. Michael, A. J., Barall, B. R., Wellik, J. J., et al. Walter, W. R. M., Hardebeck, J., Llenos, A. L., Martinez, E., et al. 9:45–10:45 9:45–10:45 Posters and Break (Ballroom) Posters and Break (Ballroom) am am

1148 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Thursday, 30 April—Oral Sessions

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Data Fusion and Uncertainty Early Results from the 2020 M6.4 Earthquake Source Parameters: Photonic Seismology (see page Waveform Cross-Correlation- Seismicity and Tectonics of Stable Quantification in Near-Surface Site Indios, Puerto Rico Earthquake Theory, Observations and 1295). Based Methods in Observational Continental Interiors (see page Characterization (see page 1193). Sequence (see page 1194). Interpretations (see page 1210). Seismology (see page 1323). 1314). 8:30 am Invited: Modeling the Horizontal- Local Tomography of the Puerto Aftershock Deficiency of Induced 8:30 am Invited: Utilizing Distributed Student: Burst-Type Repeating Student: Seismotectonic Regions to-Vertical Spectral Ratio and the Rico-Virgin Islands Microplate. Earthquake Sequences During Rapid Acoustic Sensing and Ocean Bottom Earthquakes as a Proxy for Transient for Germany - Concept and Results. Inversion of Subsoil Properties Using Vanacore, E. A. Mitigation Efforts in Oklahoma. Fiber Optic Cables for Fault Zone Aseismic Slip. Shaddox, H. R., Hahn, T. the Diffuse Field Theory. Sánchez- Goebel, T. H. W., Rosson, Z., Characterization. Ajo-Franklin, J. Schwartz, S. Y., Bartlow, N. M. Sesma, F. J. Brodsky, E. E., Walter, J. I. B., Cheng, F., Shang, Y., Lindsey, N. J., Dawe, C. 8:45 am Heterogeneous Data Assimilation The U.S. Geological Survey Response Aftershock Evolution of the 2017 8:45 am Student: Distributed Acoustic Invited: Earthquake Waveform Australia’s AUS7 Seismotectonic for Site Characterization Using the and Research Related to the January M5.5 Pohang Earthquake: A Possible Sensing Monitoring at the First Similarity as a Tool to Image Stress Model - A Product of 30 Years Ensemble Kalman Method. Seylabi, 2020, M6.4 Southwest Puerto Rico Post-Seismic Relaxation within EGS Collab Testbed. Li, D., Huang, and Fault Complexity: Application of Continuous Improvements of E., Stuart, A., Asimaki, D. Earthquake Sequence. Hayes, G. P., Heterogeneous Fault System. Woo, L., Chi, B., Ajo-Franklin, J. B., to the 2019 Ridgecrest Earthquake Earthquake Hazard Data, Concepts Yeck, W., Shelly, D. R., Earle, P., Benz, J., Kim, M., Rhie, J., Kang, T. Schoenball, M., et al. Sequence. Trugman, D. and Techniques. Borleis, E., H., et al. Peck, W., Ninis, D., Gibson, G., Cuthbertson, R. 9:00 am Velocity Structure Inversion The Puerto Rico Seismic Network Monitoring Induced Earthquakes at 9:00 am Towards Good Practice of Cable Student: Seismo: Semi-Supervised A Far-Field Ground-Motion Model Based on Diffuse Field Concept Response to the Southwestern Puerto the Preston New Road Shale Gas Site, Layout for Surface Distributed Time Series Motif Discovery for for Northern Australia from Plate for Earthquake Together with the Rico Seismic Sequence. Baez- Blackpool, UK. Holt, J., Mesimeri, Acoustic Sensing. Edme, P., Paitz, P., Seismic Signal Detection. Siddiquee, Margin Earthquakes. Allen, T. I. Earthquake-to-Microtremor Ratio Sanchez, G., Miranda Berrocales, V., M., Edwards, B., Suroyo, P., Koper, Nap, A., Metraux, V., Martin, F., et al. M., Akhavan, Z., Mueen, A. (EMR) Method for Microtremors. Colón Rodríguez, B., Huérfano, V. K. D. Nagashima, F., Kawase, H., Ito, E., A., Vanacore, E. A., et al. Mori, Y. 9:15 am Invited: Urban Seismic Site The Pacific Tsunami Warning Student: Using Frequency Domain 9:15 am Coda Amplitude Measurements Revisiting the Earthquake Catalog Miocene-Recent Crustal Characterization with Fiber-Optic Center’s Response to the Intensive Anomalies to Mark the Onset of Using Distributed Acoustic Sensing of Mount St. Helens 2004-2008 Reactivation of the North Tibetan Seismology. Beroza, G. C., Spica, Z. Earthquake Sequence South of Fault Activation Due to Hydraulic (DAS) Data. Gok, R., Mellors, R. J. Eruption. Wang, R., Schmandt, B., Foreland, Western Hexi Corridor J., Perton, M., Martin, E. R., Biondi, Puerto Rico in January 2020. Fracturing. Igonin, N., Gonzalez, K., Zhang, H. and Southern Beishan, China: B. Sardina, V., Koyanagi, K., Wang, D., Eaton, D. Implications for Intraplate Preller, C., Walsh, D., et al. Earthquake Hazards in Slowly Deforming Regions of Central Asia. Cunningham, D. 9:30 am Uncertainty Propagation and Statistical Seismology and Student: Large Uncertainties in 9:30 am Fiber Optics for Environmental Invited: Successes, Challenges and Student: The Oldest Continental Stochastic Interpretation of Communication of the U.S. Stress Drop Estimates and Their Sense-Ing (Foresee) at Pennsylvania Opportunities in Using Waveform Nucleus Beneath the South China Shear Motion Generation Due to Geological Survey Aftershock Tectonic Consequences. Neely, J. S., State University. Zhu, T., Martin, E. Cross-Correlation for Volcano Block, Constrained by Regional Underground Chemical Explosions Forecasts for the Southwest Puerto Stein, S., Spencer, B. D. R., Shen, J., Hone, S. Monitoring. Hotovec-Ellis, A. J., Lg-Wave Attenuation Tomography. in Jointed Rock. Ezzedine, S. M., Rico Earthquake Sequence of Thelen, W. A., Dawson, P. B., Shiro, Shen, L., Zhao, L., Xie, X., Yao, Z. Vorobiev, O. Y., Antoun, T. H., 2019–2020. Michael, A. J., Barall, B. R., Wellik, J. J., et al. Walter, W. R. M., Hardebeck, J., Llenos, A. L., Martinez, E., et al. 9:45–10:45 9:45–10:45 Posters and Break (Ballroom) Posters and Break (Ballroom) am am

Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1149 Thursday, 30 April (continued)

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Early Results from the 2020 M6.4 Earthquake Source Parameters: Recent Advances in Very Advances in Seismic Seismicity and Tectonics of Stable Indios, Puerto Rico Earthquake Theory, Observations and Broadband Seismology (see page Interferometry: Theory, Continental Interiors (continued). Sequence (continued). Interpretations (continued). 1297). Computation and Applications (see page 1166). 10:45 am Student: Two Earthquake Invited: Analysis of the Foreshock 10:45 am Performance of Earthscope Co- and Post-Seismic Responses Invited: Integrating Seismic and Foreshock Sequences Post Gulia Sequences Preceding Two Moderate Transportable Array in Alaska. in Ambient Seismic Velocity to the Magnetotelluric Constraints on and Wiemer (2019). Dascher- (M4.7 and M5.8) Earthquakes in the Aderhold, K., Busby, R. W., 1999 M7.6 Chi-Chi Earthquake in Lithospheric Properties to Explore Cousineau, K., Lay, T., Brodsky, E. E. Sea of Marmara Offshore Istanbul, Woodward, R., Frassetto, A. M. Central Taiwan. Huang, M., Nayak, the Geodynamic Origin of the Turkey. Bohnhoff, M., Durand, V., A., Randolph-Flagg, N. Southeastern US Stress Field. Bentz, S., Kwiatek, G., Dresen, G., et Murphy, B. S., Liu, L., Egbert, G. D. al. 11:00 am Puerto Rico 2019-2020 Earthquake From Elastic Deformation Loading 11:00 am Magnetic Field Variations in Alaska: Student: Processing Seismic Invited: Relationship between Sequence: The Challenge of Low Rates to Heat Flow Anomalies: Recording Space Weather Events on Ambient Noise Data with the Crustal Structure and Intraplate Frequency, High Impact Events. Von Constraints on Seismic Efficiency the Transportable Array. Ringler, Continuous Wavelet Transform to Seismicity beneath the Southeastern Hillebrandt-Andrade, C. and Friction Coefficient. Ziebarth, A. T., Anthony, R. E., Claycomb, A., Obtain Reliable Empirical Green’s United States. Cunningham, E., M. J., Anderson, J. G., von Specht, S., Spritzer, J., Tape, C., et al. Function. Yang, Y., Liu, C., Langston, Wagner, L. S., Lekic, V. Heidbach, O., Cotton, F. C. A. 11:15 am Preliminary ShakeMap Computation Student: Quantifying Rupture 11:15 am Invited: An Unwanted Long-Period Student: Noise Characteristics of Is the Mainshock Rupture and for the Indios M6.4 Earthquake, Characteristics of Microearthquakes Step-Response Signal Recorded One Year of DAS Monitoring Data Aftershock Sequence of the 2011 7 January 2020, Puerto Rico. in the Parkfield Region Using a During Local Alaska Earthquakes. from Penn State Foresee Array. Shen, Mineral, Virginia Earthquake Typical Huérfano, V. A., Martínez-Cruzado, High-Resolution Borehole Network. Tape, C., Parker, T., Bainbridge, G., J., Zhu, T., Martin, E. R. of Moderate Intraplate Shocks? J. A., Torres, M., Hernandez, F., Staff Pennington, C. N., Chen, X., Wu, Q., Smith, K. Chapman, M. C. and Students, P. Zhang, J. 11:30 am A Comparison of Predicted and Student: A Focal Mechanism 11:30 am A Holelock for Deployment of Using Seismic Interferometry to Geophysical Imaging of Subsurface Observed Ground Motions and Catalog for Southern California Two Streckeisen Long-Period Identify and Monitor Fluids in Structures in the Charleston- Additional Parameters for the 7 Derived with Deep Learning Seismometers in a Single Borehole. Geothermal Systems. Matzel, E., Summerville, South Carolina January 2020 Indios, Puerto Rico Algorithms. Cheng, Y., Ross, Z., Ebeling, C. W., Naranjo, G., Steim, J. Morency, C., Templeton, D. Intraplate Seismic Zone. Shah, A. K., Earthquake. Watson-Lamprey, J., Hauksson, E., Ben-Zion, Y. M., Standley, I. M., Brook, K., et al. Pratt, T., Horton, Jr., J., Counts, R. Murphy, D., Johnson, C., Saqui, M., Zheng, B., et al. 11:45 am Highlights of Responses of Tensile Fault Steps Indicated by 11:45 am Invited: Tiltmeters: Rotation, The Magma Plumbing System Under Characteristics of Swarms of Small Instrumented Buildings During Positive Non-Double-Couple Horizontal Acceleration and Mount St. Helens from iMUSH Earthquakes in the Stable Craton of the M6.4 Puerto Rico Earthquake Components of Seismic Moment Insensitivity to Gravity Waves. Active Seismic and Autocorrelation Northeastern North America. Ebel, of 7 January 2020. Celebi, M., Tensors in West Bohemia Swarm Bilham, R. Reflectivity Imaging. Levander, A., J. E. DeCristofaro, J., Smith, J., Martínez- Earthquakes. Vavrycuk, V., Kiser, E. Cruzado, J. A., Alicea, A., et al. Adamova, P., Doubravova, J. Noon– Noon– Luncheon (Hall Three) Luncheon (Hall Three) 1:15 pm 1:15 pm Recent Development in Ultra- Early Results from the 2020 M6.4 Earthquake Source Parameters: Alpine-Himalayan Alpide Shallow Advances in Real-Time GNSS Data Seismicity and Tectonics of Stable Dense Seismic Arrays with Nodes Indios, Puerto Rico Earthquake Theory, Observations and Earthquakes and the Current and Analysis and Network Operations Continental Interiors (continued). and Distributed Acoustic Sensing Sequence (continued). Interpretations (continued). the Future Hazard Assessments (see for Hazards Monitoring (see page (DAS) (see page 1300). page 1173). 1160). 1:30 pm Combining DAS and Air-Gun: A Observations of Ground Failure in A High-Resolution 4D Source Image 1:30 pm Himalayan Surface Rupture in the Invited: The Case for Collocation Azimuthal Effects on Magnitude Cost-Effective Medium Change the 2020 M6.4 Indios, Puerto Rico of the 2015 M7.9 Bonin Deep-Focus 1934 Bihar-Nepal M8.3 Earthquake of GNSS and Seismic Networks Calculations for a Sparse Network: Monitoring System. Zeng, X., Wang, Earthquake Sequence. Thompson, Earthquake. Kiser, E., Kehoe, H., - Did It or Didn’t It, and Does It for Earthquake and Tsunami Early Eastern Canada. Bent, A. L. B., Yang, J., Zhang, Y., Song, Z., et al. E. M., Allstadt, K. E., Hughes, S., Chen, M. Matter? Bilham, R., Wesnousky, S. Warning. Bock, Y., Golriz, D., Bayouth, D., Cruz, E., et al. G. Hodgkinson, K., Sievers, C., Mencin, D. J., et al.

1150 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Early Results from the 2020 M6.4 Earthquake Source Parameters: Recent Advances in Very Advances in Seismic Seismicity and Tectonics of Stable Indios, Puerto Rico Earthquake Theory, Observations and Broadband Seismology (see page Interferometry: Theory, Continental Interiors (continued). Sequence (continued). Interpretations (continued). 1297). Computation and Applications (see page 1166). 10:45 am Student: Two Earthquake Invited: Analysis of the Foreshock 10:45 am Performance of Earthscope Co- and Post-Seismic Responses Invited: Integrating Seismic and Foreshock Sequences Post Gulia Sequences Preceding Two Moderate Transportable Array in Alaska. in Ambient Seismic Velocity to the Magnetotelluric Constraints on and Wiemer (2019). Dascher- (M4.7 and M5.8) Earthquakes in the Aderhold, K., Busby, R. W., 1999 M7.6 Chi-Chi Earthquake in Lithospheric Properties to Explore Cousineau, K., Lay, T., Brodsky, E. E. Sea of Marmara Offshore Istanbul, Woodward, R., Frassetto, A. M. Central Taiwan. Huang, M., Nayak, the Geodynamic Origin of the Turkey. Bohnhoff, M., Durand, V., A., Randolph-Flagg, N. Southeastern US Stress Field. Bentz, S., Kwiatek, G., Dresen, G., et Murphy, B. S., Liu, L., Egbert, G. D. al. 11:00 am Puerto Rico 2019-2020 Earthquake From Elastic Deformation Loading 11:00 am Magnetic Field Variations in Alaska: Student: Processing Seismic Invited: Relationship between Sequence: The Challenge of Low Rates to Heat Flow Anomalies: Recording Space Weather Events on Ambient Noise Data with the Crustal Structure and Intraplate Frequency, High Impact Events. Von Constraints on Seismic Efficiency the Transportable Array. Ringler, Continuous Wavelet Transform to Seismicity beneath the Southeastern Hillebrandt-Andrade, C. and Friction Coefficient. Ziebarth, A. T., Anthony, R. E., Claycomb, A., Obtain Reliable Empirical Green’s United States. Cunningham, E., M. J., Anderson, J. G., von Specht, S., Spritzer, J., Tape, C., et al. Function. Yang, Y., Liu, C., Langston, Wagner, L. S., Lekic, V. Heidbach, O., Cotton, F. C. A. 11:15 am Preliminary ShakeMap Computation Student: Quantifying Rupture 11:15 am Invited: An Unwanted Long-Period Student: Noise Characteristics of Is the Mainshock Rupture and for the Indios M6.4 Earthquake, Characteristics of Microearthquakes Step-Response Signal Recorded One Year of DAS Monitoring Data Aftershock Sequence of the 2011 7 January 2020, Puerto Rico. in the Parkfield Region Using a During Local Alaska Earthquakes. from Penn State Foresee Array. Shen, Mineral, Virginia Earthquake Typical Huérfano, V. A., Martínez-Cruzado, High-Resolution Borehole Network. Tape, C., Parker, T., Bainbridge, G., J., Zhu, T., Martin, E. R. of Moderate Intraplate Shocks? J. A., Torres, M., Hernandez, F., Staff Pennington, C. N., Chen, X., Wu, Q., Smith, K. Chapman, M. C. and Students, P. Zhang, J. 11:30 am A Comparison of Predicted and Student: A Focal Mechanism 11:30 am A Holelock for Deployment of Using Seismic Interferometry to Geophysical Imaging of Subsurface Observed Ground Motions and Catalog for Southern California Two Streckeisen Long-Period Identify and Monitor Fluids in Structures in the Charleston- Additional Parameters for the 7 Derived with Deep Learning Seismometers in a Single Borehole. Geothermal Systems. Matzel, E., Summerville, South Carolina January 2020 Indios, Puerto Rico Algorithms. Cheng, Y., Ross, Z., Ebeling, C. W., Naranjo, G., Steim, J. Morency, C., Templeton, D. Intraplate Seismic Zone. Shah, A. K., Earthquake. Watson-Lamprey, J., Hauksson, E., Ben-Zion, Y. M., Standley, I. M., Brook, K., et al. Pratt, T., Horton, Jr., J., Counts, R. Murphy, D., Johnson, C., Saqui, M., Zheng, B., et al. 11:45 am Highlights of Responses of Tensile Fault Steps Indicated by 11:45 am Invited: Tiltmeters: Rotation, The Magma Plumbing System Under Characteristics of Swarms of Small Instrumented Buildings During Positive Non-Double-Couple Horizontal Acceleration and Mount St. Helens from iMUSH Earthquakes in the Stable Craton of the M6.4 Puerto Rico Earthquake Components of Seismic Moment Insensitivity to Gravity Waves. Active Seismic and Autocorrelation Northeastern North America. Ebel, of 7 January 2020. Celebi, M., Tensors in West Bohemia Swarm Bilham, R. Reflectivity Imaging. Levander, A., J. E. DeCristofaro, J., Smith, J., Martínez- Earthquakes. Vavrycuk, V., Kiser, E. Cruzado, J. A., Alicea, A., et al. Adamova, P., Doubravova, J. Noon– Noon– Luncheon (Hall Three) Luncheon (Hall Three) 1:15 pm 1:15 pm Recent Development in Ultra- Early Results from the 2020 M6.4 Earthquake Source Parameters: Alpine-Himalayan Alpide Shallow Advances in Real-Time GNSS Data Seismicity and Tectonics of Stable Dense Seismic Arrays with Nodes Indios, Puerto Rico Earthquake Theory, Observations and Earthquakes and the Current and Analysis and Network Operations Continental Interiors (continued). and Distributed Acoustic Sensing Sequence (continued). Interpretations (continued). the Future Hazard Assessments (see for Hazards Monitoring (see page (DAS) (see page 1300). page 1173). 1160). 1:30 pm Combining DAS and Air-Gun: A Observations of Ground Failure in A High-Resolution 4D Source Image 1:30 pm Himalayan Surface Rupture in the Invited: The Case for Collocation Azimuthal Effects on Magnitude Cost-Effective Medium Change the 2020 M6.4 Indios, Puerto Rico of the 2015 M7.9 Bonin Deep-Focus 1934 Bihar-Nepal M8.3 Earthquake of GNSS and Seismic Networks Calculations for a Sparse Network: Monitoring System. Zeng, X., Wang, Earthquake Sequence. Thompson, Earthquake. Kiser, E., Kehoe, H., - Did It or Didn’t It, and Does It for Earthquake and Tsunami Early Eastern Canada. Bent, A. L. B., Yang, J., Zhang, Y., Song, Z., et al. E. M., Allstadt, K. E., Hughes, S., Chen, M. Matter? Bilham, R., Wesnousky, S. Warning. Bock, Y., Golriz, D., Bayouth, D., Cruz, E., et al. G. Hodgkinson, K., Sievers, C., Mencin, D. J., et al.

Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1151 Thursday, 30 April (continued)

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Recent Development in Ultra- Early Results from the 2020 M6.4 Earthquake Source Parameters… Alpine-Himalayan Alpide Shallow Advances in Real-Time GNSS Data Seismicity and Tectonics of Stable Dense Seismic Arrays… Indios, Puerto Rico Earthquake… Earthquakes… Analysis… Continental Interiors 1:45 pm Towards Long-Range Distributed Impact of the M6.4 7 January 2020 Student: Aftershock Productivity 1:45 pm Shallow Earthquake Sources in Invited: Implementing Real- Student: Focal Mechanisms of Acoustic Sensing in Subsea Earthquake to Communities and Variation in Intermediate-Depth Iran. Braunmiller, J., Graybeal, D., Time GNSS Monitoring with the Relocated Earthquakes and New Applications. Karrenbach, M. 9., Population of Southwestern Puerto Earthquakes. Chu, S., Beroza, G. C., Hosseini, S. Earthcube Cyberinfrastructure Stress Orientations in the Charlevoix Laing, C. Rico. Vanacore, E. A., Lopez, A. M., Ellsworth, W. Chords for Ol Doinyo Lengai, Seismic Zone. Fadugba, O. I., Huérfano, V. A., Martínez-Cruzado, Tanzania. Stamps, D., Saria, E., Langston, C. A., Powell, C. A. J. A. Daniels, M., Mencin, D. J., Jones, J. R., et al. 2:00 pm Applications of a Transportable Seismic Source Models for Southwest Detection Limits and Near-Field 2:00 pm Implementation of New Seismic Real Time GNSS Network Operating Student: Joint Local and Nodal Array for Earthquake Puerto Rico in Light of the 2020 Ground Motions of Fast and Slow Hazard Maps into the Building Code Along Strongly Coupled Segment Teleseismic Tomography in Response and Subsurface Imaging Indios Earthquake Sequence. Earthquakes. Kwiatek, G., Ben-Zion, Update in Georgia. Onur, T., Gok, of Ecuador Subduction Interface. the Central United States and in SE Asia. Lythgoe, K. H., Wei, S., LaForge, R. Y. R., Godoladze, T., Urushadze, I., Mothes, P. A., Herrera, A., Implications for the Origin of Muzli, M. Javakhishvili, Z. Melbourne, T. I., Hodgkinson, K., Intraplate Seismicity. Geng, Y., Acero, W., et al. Powell, C. A. 2:15 pm Student: Arcuate Moho Fragments Preliminary Results from a Constraining Earthquake Depth, 2:15 pm An Empirical Earthquake Ground- Noise Characteristics of Operational Synergy of Inherited Structures Revealed by Dense Seismic Nodal Multichannel Seismic Reflection Source Time Function and Focal Motion Model Based on Truncated Real-Time High-Rate GNSS and Modern Processes in the Array in the World’s Largest Survey to Identify the Fault Source Mechanism and Their Associated Regression: A Case Study in the Positions in a Large Aperture Eastern Tennessee Seismic Zone. Continental Center. Yang, X., Tian, of the Indios Earthquake Sequence, Uncertainties. Garth, T. I. M., Middle East. Kuehn, N. M., Kishida, Network. Melgar, D., Crowell, B. Levandowski, W., Powell, C. A. X. Puerto Rico. ten Brink, U., Chaytor, Sigloch, K., Storchack, D. A. T., AlHamaydeh, M., Bozorgnia, Y., W., Melbourne, T. I., Szeliga, W., J., Vanacore, E. A., Huérfano, V. A., Ahdi, S. K. Santillan, M., et al. Lopez, A. M., et al. 2:30 pm Student: Small Branches of Possible SAR Imaging of the Coseismic Student: Distinguishing the 2:30 pm Estimation of Vs30 Based on Student: Structural Health Student: Deep Crustal Investigation Crustal Flow in SE Deformation from the 2020 Coseismic Phase of the Earthquake the Japanese KiK-Net P-Wave Monitoring During Induced Seismic of Central Oklahoma Using Local Revealed by High-Resolution Southwest Puerto Rico Seismic Cycle with Seismogeodesy. Golriz, Seismograms. Kang, S., Kim, B., Lee, Events in Oklahoma Using Real- Earthquake Waveforms and Attenuation Tomography with Sequence. Fielding, E. J., Lopez, A. D., Bock, Y., Agnew, D. J. Time Seismogeodetic Data. Yin, Teleseismic Receiver Function Chinarray Lg Data. Song, Y., Zhao, M., Vanacore, E. A. H. Z., Saunders, J. K., Haase, J. S., Analysis. R a t r e , P. , Wang, Z., Behm, L., Xie, X., Yao, Z. Sheikh, I. A., Soliman, M., et al. M. 2:45–3:45 2:45–3:45 Posters and Break (Ballroom) Posters and Break (Ballroom) pm pm Recent Development in Ultra- Leveraging Advanced Detection, Dense Seismic Arrays with Nodes Association and Source and Distributed Acoustic Sensing Characterization in Network (DAS) (continued). Seismology (see page 1257). 3:45 pm Invited: Linking Active Source Invited: Student: Developing 3:45 pm and Passive Ambient Noise Using Convolutional Neural Networks Dense Array – Results from Several as Efficient Tools for Earthquake Experiments in China. Wang, W., Detection, Localization and Source Zhang, Y., Xu, Y., Yang, W., Xu, S., Characterization - Work in Progress Wang, B. and Key Challenges. Petersen, G. M., Kriegerowski, M., Nooshiri, N., Ohrnberger, M. 4:00 pm An Active/Passive Nodal Survey in Student: Source-Scanning based 4:00 pm Support of Earth Source Heating at on Navigated Automatic Phase- Cornell University. Brown, L. D., Picking (S-SNAP) for Delineating May, D., Gustafson, O., Khan, T. the Spatiotemporal Distribution of Earthquake Sequence in Real Time: Application to the 2019 Ridgecrest, California Sequence. Tan, F., Kao, H., Nissen, E. 1152 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Thursday, 30 April (continued)

Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Recent Development in Ultra- Early Results from the 2020 M6.4 Earthquake Source Parameters… Alpine-Himalayan Alpide Shallow Advances in Real-Time GNSS Data Seismicity and Tectonics of Stable Dense Seismic Arrays… Indios, Puerto Rico Earthquake… Earthquakes… Analysis… Continental Interiors 1:45 pm Towards Long-Range Distributed Impact of the M6.4 7 January 2020 Student: Aftershock Productivity 1:45 pm Shallow Earthquake Sources in Invited: Implementing Real- Student: Focal Mechanisms of Acoustic Sensing in Subsea Earthquake to Communities and Variation in Intermediate-Depth Iran. Braunmiller, J., Graybeal, D., Time GNSS Monitoring with the Relocated Earthquakes and New Applications. Karrenbach, M. 9., Population of Southwestern Puerto Earthquakes. Chu, S., Beroza, G. C., Hosseini, S. Earthcube Cyberinfrastructure Stress Orientations in the Charlevoix Laing, C. Rico. Vanacore, E. A., Lopez, A. M., Ellsworth, W. Chords for Ol Doinyo Lengai, Seismic Zone. Fadugba, O. I., Huérfano, V. A., Martínez-Cruzado, Tanzania. Stamps, D., Saria, E., Langston, C. A., Powell, C. A. J. A. Daniels, M., Mencin, D. J., Jones, J. R., et al. 2:00 pm Applications of a Transportable Seismic Source Models for Southwest Detection Limits and Near-Field 2:00 pm Implementation of New Seismic Real Time GNSS Network Operating Student: Joint Local and Nodal Array for Earthquake Puerto Rico in Light of the 2020 Ground Motions of Fast and Slow Hazard Maps into the Building Code Along Strongly Coupled Segment Teleseismic Tomography in Response and Subsurface Imaging Indios Earthquake Sequence. Earthquakes. Kwiatek, G., Ben-Zion, Update in Georgia. Onur, T., Gok, of Ecuador Subduction Interface. the Central United States and in SE Asia. Lythgoe, K. H., Wei, S., LaForge, R. Y. R., Godoladze, T., Urushadze, I., Mothes, P. A., Herrera, A., Implications for the Origin of Muzli, M. Javakhishvili, Z. Melbourne, T. I., Hodgkinson, K., Intraplate Seismicity. Geng, Y., Acero, W., et al. Powell, C. A. 2:15 pm Student: Arcuate Moho Fragments Preliminary Results from a Constraining Earthquake Depth, 2:15 pm An Empirical Earthquake Ground- Noise Characteristics of Operational Synergy of Inherited Structures Revealed by Dense Seismic Nodal Multichannel Seismic Reflection Source Time Function and Focal Motion Model Based on Truncated Real-Time High-Rate GNSS and Modern Processes in the Array in the World’s Largest Survey to Identify the Fault Source Mechanism and Their Associated Regression: A Case Study in the Positions in a Large Aperture Eastern Tennessee Seismic Zone. Continental Center. Yang, X., Tian, of the Indios Earthquake Sequence, Uncertainties. Garth, T. I. M., Middle East. Kuehn, N. M., Kishida, Network. Melgar, D., Crowell, B. Levandowski, W., Powell, C. A. X. Puerto Rico. ten Brink, U., Chaytor, Sigloch, K., Storchack, D. A. T., AlHamaydeh, M., Bozorgnia, Y., W., Melbourne, T. I., Szeliga, W., J., Vanacore, E. A., Huérfano, V. A., Ahdi, S. K. Santillan, M., et al. Lopez, A. M., et al. 2:30 pm Student: Small Branches of Possible SAR Imaging of the Coseismic Student: Distinguishing the 2:30 pm Estimation of Vs30 Based on Student: Structural Health Student: Deep Crustal Investigation Crustal Flow in SE Tibetan Plateau Deformation from the 2020 Coseismic Phase of the Earthquake the Japanese KiK-Net P-Wave Monitoring During Induced Seismic of Central Oklahoma Using Local Revealed by High-Resolution Southwest Puerto Rico Seismic Cycle with Seismogeodesy. Golriz, Seismograms. Kang, S., Kim, B., Lee, Events in Oklahoma Using Real- Earthquake Waveforms and Attenuation Tomography with Sequence. Fielding, E. J., Lopez, A. D., Bock, Y., Agnew, D. J. Time Seismogeodetic Data. Yin, Teleseismic Receiver Function Chinarray Lg Data. Song, Y., Zhao, M., Vanacore, E. A. H. Z., Saunders, J. K., Haase, J. S., Analysis. R a t r e , P. , Wang, Z., Behm, L., Xie, X., Yao, Z. Sheikh, I. A., Soliman, M., et al. M. 2:45–3:45 2:45–3:45 Posters and Break (Ballroom) Posters and Break (Ballroom) pm pm Recent Development in Ultra- Leveraging Advanced Detection, Dense Seismic Arrays with Nodes Association and Source and Distributed Acoustic Sensing Characterization in Network (DAS) (continued). Seismology (see page 1257). 3:45 pm Invited: Linking Active Source Invited: Student: Developing 3:45 pm and Passive Ambient Noise Using Convolutional Neural Networks Dense Array – Results from Several as Efficient Tools for Earthquake Experiments in China. Wang, W., Detection, Localization and Source Zhang, Y., Xu, Y., Yang, W., Xu, S., Characterization - Work in Progress Wang, B. and Key Challenges. Petersen, G. M., Kriegerowski, M., Nooshiri, N., Ohrnberger, M. 4:00 pm An Active/Passive Nodal Survey in Student: Source-Scanning based 4:00 pm Support of Earth Source Heating at on Navigated Automatic Phase- Cornell University. Brown, L. D., Picking (S-SNAP) for Delineating May, D., Gustafson, O., Khan, T. the Spatiotemporal Distribution of Earthquake Sequence in Real Time: Application to the 2019 Ridgecrest, California Sequence. Tan, F., Kao, H., Nissen, E. Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1153 Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Recent Development in Ultra- Leveraging Advanced Detection, Dense Seismic Arrays… Association… 4:15 pm A Dense Nodal 3C Deployment Invited: Student: Towards an 4:15 pm in the Cushing Fault Area, North Improved Earthquake Catalog for Oklahoma. Behm, M., Chen, X., Ng, Northern California Using Deep- R., Wang, Z. Learning-Based Arrival Time Picking and Graph-Based Phase Association. McBrearty, I. W., Beroza, G. C., Allen, R. M. 4:30 pm Deep-Learning-Based Noise A Matched Filtering-Based 4:30 pm Suppression for Earthquake Workflow for Characterizing Swarm Monitoring in an Urban Setting with and Aftershock Sequences. Baker, B., Dense Array Data. Yang, L., Liu, X., Conner, A., Koper, K. D., Pankow, K. Zhu, W., Beroza, G. C. 4:45 pm Student: Classification of Urban Source Parameters and Moment 4:45 pm Seismic Noise Using Unsupervised Magnitudes from Seismogram Machine Learning. Snover, D. Envelopes—The Coda Calibration B., Johnson, C. W., Bianco, M. J., Tool. Walter, W. R., Mayeda, K., Gerstoft, P. Gok, R., Barno, J., Roman-Nieves, J. I.

Poster Sessions Advances in Seismic Interferometry: Theory, Computation Please note: Poster numbers may not be listed sequentially. and Applications (see page 1167).

Advances in Real-Time GNSS Data Analysis and Network 1. Ambient Noise Based Ellipticity Observations in Operations for Hazards Monitoring (see page 1161). Southern California and Their Relation to Ground Water Changes and Seismic Velocity. Kintner, J., Syracuse, E., 62. Augmenting GNSS and Teleseismic Networks for Gao, K., Larmat, C., Delorey, A. A. Improved Tsunami Early Warning. Song, Y. 2. Student: Mapping Between Frequency-Domain and 63. The 2019 Ridgecrest Earthquake Sequence Tests Depth-Domain Velocity Perturbations in Coda Wave Integration of Real-Time GNSS for Earthquake Early Interferometry. Yuan, C., Jiang, C., Denolle, M. A. Warning. Hodgkinson, K., Mencin, D. J., Walls, C., 3. Optimize the Stacking of Noise Correlation Functions. Mann, D., Austin, K., Feaux, K., Sievers, C., Dittmann, T., Yang, X., Bryan, J., Okubo, K., Jiang, C., Clements, T., Mattioli, G. S. Denolle, M. A. 64. Higher Rate Real-Time GNSS Performance Metrics in the 4. Toward Large-Scale Groundwater Monitoring with Network of the Americas. Dittmann, T., Hodgkinson, Seismic and Geodetic Data: Case Study and Future K., Mencin, D. J., Sievers, C. Directions. Kim, D., Lekic, V., Huang, M., Taira, T. 65. The Impact of GNSS Derived Finite-Fault Rupture 5. Student: Investigating Time Dependent Velocity Models on Ground Motion Predictions Based on Structure in the Shallow Subsurface of the Raton Basin. Cascadia Megathrust Rupture Scenarios. Kwong, K. B., Wilgus, J., Schmandt, B. Crowell, B. W., Melgar, D., Williamson, A. L. 66. Acquisition Protocol - Its Impact on Real-Time Data Alpine-Himalayan Alpide Shallow Earthquakes and the Acquisition System Performance. Hosseini, M., Karimi, Current and the Future Hazard Assessments (see page S., Laporte, M., Cox, M., Tatham, B. 1174). 67. The U.S. Geological Survey Southern California GNSS Network: Improving Real-time Data Acquisition and 68. Long-Term Probabilistic Forecast for M ≥ 5.0 Earthquakes Analysis for Hazard Monitoring and Earthquake Early in the Eastern Tibetan Plateau from Adaptively Smoothed Warning. Murray, M. H., Turner, R., Guillemot, C., Seismicity. Wu, G. Aspiotes, A., Parsi, J., Roeloffs, E. A., Brooks, B. A. 1154 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 Time Rooms 110 + 140 Room 115 Rooms 120 + 130 Time Rooms 215 + 220 Rooms 230 + 235 Room 240 Recent Development in Ultra- Leveraging Advanced Detection, Dense Seismic Arrays… Association… 4:15 pm A Dense Nodal 3C Deployment Invited: Student: Towards an 4:15 pm in the Cushing Fault Area, North Improved Earthquake Catalog for Oklahoma. Behm, M., Chen, X., Ng, Northern California Using Deep- R., Wang, Z. Learning-Based Arrival Time Picking and Graph-Based Phase Association. McBrearty, I. W., Beroza, G. C., Allen, R. M. 4:30 pm Deep-Learning-Based Noise A Matched Filtering-Based 4:30 pm Suppression for Earthquake Workflow for Characterizing Swarm Monitoring in an Urban Setting with and Aftershock Sequences. Baker, B., Dense Array Data. Yang, L., Liu, X., Conner, A., Koper, K. D., Pankow, K. Zhu, W., Beroza, G. C. 4:45 pm Student: Classification of Urban Source Parameters and Moment 4:45 pm Seismic Noise Using Unsupervised Magnitudes from Seismogram Machine Learning. Snover, D. Envelopes—The Coda Calibration B., Johnson, C. W., Bianco, M. J., Tool. Walter, W. R., Mayeda, K., Gerstoft, P. Gok, R., Barno, J., Roman-Nieves, J. I.

69. Ambient Noise Analysis by the Technology of PSD and Early Results from the 2020 M6.4 Indios, Puerto Rico PDF in Hotan. Yang, Q. Earthquake Sequence (see page 1198). 70. Student: Assessment of Continuous Soil Radon Data for the Identification of Anomalous Changes During 72. PGA and MMI Instrumental Intensity Distribution in Moderate Earthquakes of the Garhwal Himalaya. Shukla, the Puerto Rico Island Upon the 2020 Puerto Rico M6.4 V. , Chauhan, V., Kumar, N. Earthquake. Huerta-Lopez, C. I., Martínez-Cruzado, 71. New Velocity Model of the Novy Kostel Intraplate J. A., Vidal-Villegas, J. A., Suarez-Colche, L. E., Vidal- Earthquake-Swarm Region, West Bohemia. Malek, J., Villegas, J. A., Rivera-Figueroa, A. A., Rivera-Figueroa, Brokesova, J., Novotny, O. A. A., Santana-Torres, E. 73. Towards a Local-Regional Coda Source Calibration for Data Fusion and Uncertainty Quantification in Near- Puerto Rico: Apparent Stress Estimation and Magnitude Surface Site Characterization (see page 1194). Scaling from the 2019–2020 Earthquake Sequence and Application of LLNL’s Coda Calibration Tool (CCT). 33. Comparison of VS30 and f0 Values by the Single Station Roman-Nieves, J. I., Mayeda, K., Soto-Cordero, L. Earthquake-to-Microtremor Ratio (EMR) Method to 74. Post-Seismic Offsets in Southwestern Puerto Rico After Those by Traditional Multi-Station Array-Based Site the M6.4 7 January 2020. Solares-Colón, M. M., Lopez, Characterization Methods. Yong, A., Nagashima, F., Ito, A. M., Jansma, P. E., Mattioli, G. S., Mencin, D. J. E., Kawase, H., Fletcher, J. B., Hayashi, K., Martin, A., 75. Student: Validation of Soil-Based Liquefaction Grant, A., McPhillips, D. Susceptibility Map for Puerto Rico with Observations 34. Student: A Statistical Representation and Frequency- from 7 January 2020 M6.4 Earthquake. Irizarry Domain Window-Rejection Algorithm to Account Brugman, E. O., Lopez, A. M., Matos, M., Vanacore, E. for Azimuthal Variability in Single-Station HVSR A., Allstadt, K. E., Thompson, E. M. Measurements. Cox, B. R., Cheng, T., Vantassel, J. P. 76. Student: Tsunami Simulation of the M6.4 7 January 2020 of Southwestern Puerto Rico. Lorenzo Paulino, H. A., Lopez, A. M. 77. Puerto Rico 2019–2020 Earthquake Sequence and Tsunami Impact. Von Hillebrandt-Andrade, C., Rivera, V., Ruiz-Vélez, R., Huérfano, V. A. Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1155 Thursday, 30 April (continued) 78. 3D Displacement Maps of the 2019–2020 Puerto Rico Van Houtte, C., Huso, R., Luna, L., Barrell, D. J. A., Van Earthquake Sequence from DInSAR and MAI and Dissen, R. J., Silvester, P. Comparison with Mapped on Land Faults. Demissie, Z., 37. Regional Ground Motion Duration Prediction Model Lao Davila, D. for Subduction Regions. Walling, M., Kuehn, N. M., 79. Double-Difference Relocations of Foreshocks, Abrahamson, N. A. Mainshock and Aftershocks Associated to the 2019–2020 38. Consequence-Driven Earthquake Scenario Selection. Southwestern Puerto Rico Seismic Sequence. Lopez, A. Thompson, E. M., Lin, Y., Wald, D. J. M., Vanacore, E. A. 39. Automated Damage Detection After Earthquakes: 80. Assessment of the Aftershock Probability Estimates of Algorithms and Image Catalogs. Sodeinde, L., Rashidian, the 2019–2020 Southwestern Puerto Rico Earthquake V., Koch, M., Baise, L. G. Sequence. Lopez, A. M., Santana, D. 40. Student: Comparison of Seismic Collapse Risk of 81. Performance of Earthworm/AQMS in the Puerto Rico Structures by Considering Four Different NGA-West2 Seismic Network During the January 2020 Southwestern Ground Motion Prediction Equations. Akhani Senejani, Puerto Rico Earthquake Sequence. Olivencia, M., M., Pezeshk, S. Barbosa, J., Friberg, P. A., Huérfano, V. A., Vanacore, E. 41. Student: Developing Data-Driven Stochastic A., Baez-Sanchez, G., Feliciano, A., Macbeth, H. Gee, L. Seismological Parameters of CENA from the NGA-East 82. Student: Enhanced Detection and Swarm Behavior of Database. Nazemi, N., Pezeshk, S., Zandieh, A. the Indios, Puerto Rico Earthquake Sequence. Ventura- Valentin, W. A., Brudzinski, M. R. Earthquake Source Parameters: Theory, Observations and 83. Improving Monitoring, Hazard Assessment and Public Interpretations (see page 1213). Information for Ongoing Seismicity with Calibrated, Absolute Earthquake Location: The 2020 Indios, Puerto 88. Unmixing the Gutenberg-Richter Law. Page, M., Felzer, Rico Earthquake Sequence. Lomax, A., Vanacore, E. A., K. Huérfano, V. A., Lopez, A. M. 89. Earthquake Catalog from a Year+ of Seismic Monitoring 84. Ground Motion Characteristics of the 2020 M6.4 Indios, on Bioko Island, Equatorial Guinea. Lough, A. C. Puerto Rico Earthquake Sequence. McNamara, D. E., 90. Student: Empirical Earthquake Scaling Relationships Vanacore, E. A., Lopez, A. M., Huérfano, V. A., Martínez- Derived from Geodetic Slip Distributions. Brengman, Cruzado, J. A., Leeds, A., Pratt, T., Wolin, E., Moschetti, C., Barnhart, W. D., Mankin, E. H., Miller, C. N. M. P., Thompson, E. M., Kleckner, J., Rekoske, J., Powers, 91. Student: Comparing Artificial Neural Networks with P. M., Petersen, M. D., Mueller, C. S., Benz, H., Wilson, Traditional Ground-Motion Models for Small Magnitude D., Hayes, G. P., Earle, P. Earthquake in Southern California. Klimasewski, A., 85. Student: Analysis of Acceleration Time Series Recorded Sahakian, V. J., Thomas, A. at El Castillo Building Upon the 7 January 2020 Puerto 92. Student: Lessons Learned from Regional MT Inversion Rico M6.4 Indios Earthquake. Rivera-Figueroa, A. A., of Small to Moderate Earthquakes Using the Dense Huerta-Lopez, C. I., Martínez-Cruzado, J. A., Suarez- Alparray Seismic Network (AASN). Petersen, G. M., Colche, L. E., Tapia-Herrera, R., Martínez-Pagan, J., Cesca, S., Heimann, S., Niemz, P., Dahm, T. Santana-Torres, E. 93. Seismic Risk Due to Induced Earthquakes at the Preston 86. GNSS Measurements of the January 2020 Puerto Rico New Road (UK) Shale Gas Site. Edwards, B., Crowley, Earthquake Sequence. Lopez, A. M., Mencin, D. J., H., Pinho, R., Bommer, J. Hodgkinson, K., Mattioli, G. S. 94. Student: Effect of Rupture Directivity on PSHA for New 87. Geotechnical Failures during the Puerto Rico 2020 M6.4 Madrid Seismic Zone. Kayastha, M., Pezeshk, S. Earthquake and Sequence. Pando, M. A., Morales-Vélez, 95. Student: Evolving Seismic and Aseismic Slip on a A. C., Hughes, K. S. Heterogeneous Frictional Fault with Heat Generation and Temperature-Dependent Creep. Zhou, B., Ben- Earthquake Ground Motion and Impacts (see page 1208). Zion, Y. 96. Student: Analyses of Microseismicity and Induced 35. Student: Simulating Conditional Ground Motions for Earthquakes During Hydraulic Fraction to Infer Tress Time-History Analyses. Bahrampouri, M., Rodriguez- Changes and Interactions from Case Studies. Zhang, J., Marek, A. Chen, X. 36. First-Time Use of Precariously-Balanced Rocks to 97. Local Magnitude (ML) Determination for Earthquakes Constrain Seismic Hazard Estimates for a Major in the Yellowstone National Park Region, USA. Holt, J., Engineered Structure: Clyde Dam, New Zealand. Pechmann, J. C., Edwards, B., Koper, K. D. Stirling, M., McVerry, G. H., Abbott, L. R., Rood, D. H., 1156 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 98. Student: Lithospheric Mantle Earthquakes in the Wind 9. White Box Comparison of Different Algorithmic River Range, Wyoming. Devin, E. G., Sheehan, A., Chon, Approaches to Event Detection and Association. Heck, E. R., Bell, J. S. L., Young, C., Brogan, R. 99. Student: A Crustal Focal Mechanism Catalog for 10. Using Waveform Correlation to Reduce Analyst Northern Chile: Initial Results. Herrera, C., Cassidy, J. F., Workload Due to Repeating Mining Blasts. Sundermier, Dosso, S. E., Bloch, W., Sippl, C. A., Tibi, R., Young, C. 100. Scaling Relationships for Seismic Moment and Average 11. Local Earthquake Detection and Location from Slip of Strike-Slip Earthquakes Incorporating Fault Slip Continuous Seismic Waveforms in Xichang Seismic Rate and Maximum Likelihood Values of Fault Width Array with U-Net. Fang, L., Fan, L., Liao, S. and Stress Drop. Anderson, J. G., Wesnousky, S. G., 12. Denoising of Seismic Signals Recorded at Local to Near- Biasi, G., Angster, S. Regional Distances Using Deep Convolutional Neural 101. Calibrating Median and Uncertainty Estimates for Networks. Tibi, R., Hammond, P., Brogan, R., Young, C., Ground Motion Prediction in Low-to-Moderate Koper, K. D. Seismicity Region: Application to the Middle Durance 13. A Neural Network Based Small Seismic Event Detector Fault (France). El Haber, E., Causse, M., Hollender, F., and Locator. Ma, X., Chen, T. Chaljub, E. 14. Global Earthquake Detection with Machine Learning: 102. Full Source Characterization of the M5.4 11 November Exploring Array and Network Based Detection. Yeck, W., 2019 Le Teil, France Earthquake Based on a Multi- Benz, H., Earle, P., Hayes, G. P., Patton, J., Guy, M. Technology Approach. Guilhem Trilla, A., Bollinger, L., 15. Considerations for Regional-Scale Earthquake Cano, Y., Champenois, J., Duverger, C., Hernandez, B., Le Assessment Using Seismic Arrays. Karasozen, E., West, Pichon, A., Listowski, C., Mazet-Roux, G., Menager, M., M. E. Merrer, S., Puyssegur, B., Rusch, R., Sèbe, O., Vallage, A. 16. High-Precision Delineation of Fault Geometry and Stress 103. Detailed Analysis of Tectonic Stress in West Bohemia Using Next-Generation Seismic Monitoring: West Texas Swarm Area, Czech Republic. Adamova, P., Vavrycuk, Case Study. Karimi, S., Baig, A., Booterbaugh, A., Vaezi, V., Doubravova, J. Y., Stacey, M., Baturan, D. 104. Student: Earthquake Clustering in Southcentral Utah. Record, A. S., Mesimeri, M., Pankow, K. Photonic Seismology (see page 1296). 105. Student: Mw vs. Ml Evaluation for Small Earthquakes in Oklahoma and Kansas. Seydoux, Q., Herrmann, R. B. 42. Student: Distributed Acoustic Sensing from Hours 106. Earthquake Catalog Completeness Analysis for California to Milliseconds: Empirical Investigations of DAS and Nevada. Zeng, Y., Petersen, M. D., Wang, W. Instrument Response. Paitz, P., Edme, P., Schmelzbach, 107. Geometric Controls on Megathrust Earthquakes. Hayes, C., Doetsch, J., Gräff, D., Walter, F., Lindsey, N. J., Chalari, G. P., Plescia, S. M. A., Fichtner, A. 108. Seismic Intensity Field Surveys and a Comparison with 43. Student: Urban Distributed Acoustic Sensing Using Strong Motion Data for the 2018 M8.2 Chiapas and the In-Situ Fibre Beneath Bern, Switzerland. Smolinski, K. 2016 M7.8 Ecuador Events. Smith, E. M., Mooney, W. D. T., Paitz, P., Bowden, D. C., Edme, P., Kugler, F., Fichtner, 109. How Seamount Subduction Affects Seismicity in A. Guerrero, Mexico? Cerny, J., Ramírez-Herrera, M., 44. Exploring the Subsurface of Urban Areas with Garcia, E., Ito, Y., Tomek, F. Distributed Acoustic Sensing (DAS) Deployed on Dark Fiber Networks. Rodríguez Tribaldos, V., Lindsey, N. J., Leveraging Advanced Detection, Association and Source Monga, I., Tracy, C., Ajo-Franklin, J. B. Characterization in Network Seismology (see page 1259). 45. Seafloor Seismology with Distributed Acoustic Sensing in Monterey Bay. Lindsey, N. J., Ajo-Franklin, J. B., 6. Student: Detection and Location of Small Seismic Dawe, C., Retailleau, L. M., Gualtieri, L., Biondi, B. Events Surrounding Yellowstone Lake, WY. Forbes, N. M., Koper, K. D., Farrell, J., Mesimeri, M., Burlacu, R. 7. Expanding the Value of Confidence Estimates from Recent Advances in Very Broadband Seismology (see page Neural Network Classifiers.Linville, L. 1298). 8. A Frequency-Domain-Based Algorithm for Detecting Induced Seismicity Using Dense Surface N-Arrays. 46. Wideband Versus Broadband Seismic Sensors in Local Mesimeri, M., Pankow, K. and Regional Seismicity Monitoring. Friberg, P. A., Germenis, N., Sokos, E. Volume 91 • Number 2B • March/April 2020 • www.srl-online.org Seismological Research Letters | 1157 47. The Los Alamos Seismic Network: History, Status and 61. Student: Microseismicity and Scarp Geometry of the Updated Monitoring of North-Central New Mexico Rattlesnake Ridge Landslide. Newton, T. J., Thomas, A., Seismicity. Roberts, P. M., Ten Cate, J. A., House, L. DeLong, S. B., Pickering, A. J., Toomey, D. 48. Advancements in the Chilean Seismic Network. Barrientos, S. E. Ocean Bottom Seismology – New Data, New Sensors, New 49. Güralp Certimus, A Seismic Station Optimized for Rapid Methods (see page 1293). Deployment in Rugged Terrain. Reis, W., Hill, P., Watkiss, N., Lindsey, J., Balon, M. 110. Student: Receiver Function Deconvolution with Noisy 50. True-North Alignment on the Field: From a Compass to Seafloor Seismic Data: Amplifying Conversions from the an Optical Gyrocompass. Guattari, F., de Toldi, E., Meyer, Lithosphere. Zhang, Z., Olugboji, T. S., Laudat, T., Mattio, L., Olivier, N. 111. Predicting Global Marine Sediment Density Using 51. Simplifying Instrument Pools: The Next Generation Machine Learning. Graw, J. H., Wood, W. T., Phrampus, Family of Smart Instrumentation. Reis, W., Hill, P., B. J., Lee, T. R., Obelcz, J. Watkiss, N., Lindsey, J. 112. Hydroacoustic Recordings of Lava-Water Interactions 52. Recent Improvements in Very Broadband Seismometer During the 2018 Eruption of Kilauea Volcano. Caplan- Self-Noise Performance Embodied in the New Trillium Auerbach, J., Shen, Y., Morgan, J. K., Soule, S. A., Wei, X. 360 GSN Instruments. Townsend, B. L., Bainbridge, G., 113. New Ocean-Bottom Monitoring in the Southwest Pacific. Upadhyaya, S. Fry, B., Gledhill, K., Power, W., McCurrach, S., Benites, 53. Student: Towards Understanding Relationships Between R., Burbidge, D., Gusman, A., Nissen-Meyer, T., Williams, Atmospheric Pressure Variations and Long-Period M., Brewer, M. Horizontal Seismic Data: A Case Study. Alejandro, A. C. 114. Seismotectonics of Using Ocean B., Ringler, A. T., Wilson, D., Anthony, R. E., Moore, S. V. Bottom Seismographs. Aziz Zanjani, A., Herrmann, R. B., Flores, C., ten Brink, U., Bergman, E. A. Recent Development in Ultra-Dense Seismic Arrays with 115. Güralp Aquarius: A New Generation of Free-Fall Ocean Nodes and Distributed Acoustic Sensing (DAS) (see page Bottom Seismometers with Acoustic Telemetry. Reis, W., 1302). Hill, P., Watkiss, N., Mangano, G. 116. A Versatile and Complete Technology Platform for 54. Student: Surface-Wave Dispersion Spectrum Inversion Autonomous Ocean Bottom Seismometry. Townsend, B. Method Applied to Love and Rayleigh Waves Recorded L., Moores, A., Somerville, T., Pigeon, S. by DAS. Song, Z., Zeng, X., Thurber, C. H. 55. Student: Ambient Noise Tomography of the Near Research, Discovery and Education Made Possible by Low- Surface Using the Ridgecrest DAS Array. Yang, Y., Cost Seismic Equipment (see page 1309). Williams, E., Zhan, Z. 56. Student: The Analysis of Coda from Local Seismicity 117. Community-Based Seismic Monitoring Network of Beneath a Large-N Array for Crustal Structure. Zeng, Q., Papua New Guinea. Ghasemi, H., Itikarai, I., Hazelwood, Nowack, R. L. M., McKee, C. 57. Student: Shallow Active-Source Seismic Imaging of Old 118. MyShake—Earthquake Hazards Monitoring and Faithful Geyser in the Upper Geyser Basin of Yellowstone Mitigation Using Global Smartphone Seismic Network. National Park Using a Dense Seismic Array. Caylor, J. R., Kong, Q., Patel, S., Allen, R. M. Karplus, M., Farrell, J., Veitch, S., Kaip, G., Smith, R. B. 119. Educational Value of Seismic Data – A Case Study. Bravo, 58. Extending the Pegasus Portable Technology Platform T., Davis, H., Taber, J. to Apply to More Geophysical Monitoring Use Cases. Townsend, B. L., Moores, A., Pigeon, S. Science Gateways and Computational Tools for Improving 59. Student: Earthquake Locations in the Pecos, TX Region Earthquake Research (see page 1310). of the Delaware Basin. Faith, J. L., Karplus, M., Veitch, S., Ellsworth, W., Doser, D. I., Savvaidis, A. 17. Comparing Higher-Dimensional Velocity Models for 60. Student: Subduction Zone Interface Structure beneath Seismic Location Accuracy Using a Consistent Travel Kodiak Island, Alaska: Constraints from Receiver Time Framework. Begnaud, M. L., Ballard, S., Hipp, J., Functions Across a Spatially Dense Node Array. Hammond, P. Onyango, E. A., Lowe-Worthington, L., Schmandt, B., 18. Data-Proximate Cloud Computing for Improving Abers, G. A. Subduction Zone Geometries. Haynie, K. L., Hayes, G. P., Martienez, E. M., Fee, J., Guy, M., Lastowka, L. 1158 | Seismological Research Letters www.srl-online.org • Volume 91 • Number 2B • March/April 2020 19. New Capabilities of the SCEC Software Ecosystem for Waveform Cross-Correlation-Based Methods in Earthquake System Science Research. Maechling, P. J., Observational Seismology (see page 1324). Callaghan, S., Milner, K., Pauk, E., Savran, W., Silva, F., Su, M., Huynh, T., Goulet, C. A. 21. Crustal Structures Revealed by Seismic Interfrometry 20. Accuracy Analysis of U.S. Geological Survey PAGER Beneath the North China Craton and Central Asian Alerts. Corrette, J., Marano, K., Engler, D., Jaiswal, K., Orogenic Belt. Zhou, J., Zhang, W., Lu, Y. Wald, D. J. 22. Low Magnitude Seismicity in the Vicinity of the North Korean Test Site. Gammans, C. N. L., Carmichael, J. D., Seismicity and Tectonics of Stable Continental Interiors Schaff, D., Kim, W., Richards, P. G. (see page 1317). 23. The Structure Changes in Longmenshan Fault Zone from Time-Lapse Tomography and GPS Observations. Pei, S. 120. Spatio-Temporal Changes of Microseismicity Around 24. Student: Recursive Detection of Swarms of Volcanic Recent Large Earthquakes in Continental China. Li, L., Long-Period Seismicity in Marie Byrd, Antarctica. Wang, B., Peng, Z., Hou, J. Wimez, M., Frank, W. B. 121. Does the Eastern Kentucky Rome Trough Interrupt or 25. Regional Crustal Imaging by Multi-Mode Inversion of Bound the Eastern Tennessee Seismic Zone? Carpenter, Surface Wave Dispersion Curves. Olivar-Castaño, A., S., Wang, Z., Hickman, J. B., Woolery, E. W. Pilz, M., Pedreira, D., Pulgar, J. A., Díaz-González, A., 122. Remote Dynamic Triggering of Multiple Fault Structures González-Cortina, J. in Oklahoma. Alfaro-Diaz, R. A., Chen, T. 26. Ambient Noise Tomography of the Tanlu Fault, Eastern 123. Earthquake Interaction and Seismic Hazard Potentials in China Using Local Dense Seismic Array. Zhang, H., Gu, a Stable Intraplate Region: A Case Study for the Korean N., Gao, J., Yang, S., Nakata, N. Peninsula. Hong, T., Lee, J., Park, S., Kim, I., Chung, D., 27. Triggering of Deep Low-Frequency Earthquakes Along Rah, G., Kim, W. the Parkfield-Cholame Section of the San Andreas 124. Lithospheric Attenuation of the Mackenzie Mountains, Fault by the 2019 M7.1 Ridgecrest and Other Recent Northern Canadian Cordillera from Local and Regional Earthquakes. Peng, Z., Shelly, D. R., Taira, T. Seismic Phases. Perry, C., Pasyanos, M. E., Crane, S. 28. Student: Classification and Noise Correlation of Local 125. Student: Matched Filter Detection of Seismicity in the Wind Turbine Signals in Grant County Oklahoma. Ng, Eastern Tennessee Seismic Zone around the 12 December R., Nakata, N., Chen, X. 2018 M4.4 Dectaur, Tennessee Earthquake. Daniels, C., 29. Systematic Exploration of Long-Period Seismicity During Peng, Z. the 2004–2006 Mount St. Helens Volcanic Unrest. Frank, 126. Determination of Regional Pn Velocity in Eastern W. B . Canada. Lamontagne, M., Koldewey, A., Ranalli, G. 30. Student: Spatio-Temporal Changes of Microseismicity 127. Student: Low Aftershock Productivity from the 30 in Taiwan Around the 2009 Typhoon Morakot. Zhai, November 2017 Delaware Earthquake. Pearson, K. M., Q., Peng, Z., Chuang, L. Y., Chao, K., Wu, Y., Hsu, Y., Lekic, V., Wagner, L. S., Roman, D., Kim, W. Wdowinski, S. 128. Statistics of Recent Aftershock Sequences in Eastern 31. Student: Spatiotemporal Evolution of Microseismicity North America and their Implications for Declustering. and Repeating Earthquakes in Haiti. Lee, H., Douilly, Levandowski, W. R., Rolandone, F., Leroy, S., Clouard, V., Boisson, D., Momplaisir, R., Prépetit, C. 32. Student: Live Lagged Correlation for Event Detection. Zhong, S.

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