Hurricanes: a Century of Scientific Progress
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Subtropical Storms in the South Atlantic Basin and Their Correlation with Australian East-Coast Cyclones
2B.5 SUBTROPICAL STORMS IN THE SOUTH ATLANTIC BASIN AND THEIR CORRELATION WITH AUSTRALIAN EAST-COAST CYCLONES Aviva J. Braun* The Pennsylvania State University, University Park, Pennsylvania 1. INTRODUCTION With the exception of warmer SST in the Tasman Sea region (0°−60°S, 25°E−170°W), the climate associated with South Atlantic ST In March 2004, a subtropical storm formed off is very similar to that associated with the coast of Brazil leading to the formation of Australian east-coast cyclones (ECC). A Hurricane Catarina. This was the first coastal mountain range lies along the east documented hurricane to ever occur in the coast of each continent: the Great Dividing South Atlantic basin. It is also the storm that Range in Australia (Fig. 1) and the Serra da has made us reconsider why tropical storms Mantiqueira in the Brazilian Highlands (Fig. 2). (TS) have never been observed in this basin The East Australia Current transports warm, although they regularly form in every other tropical water poleward in the Tasman Sea tropical ocean basin. In fact, every other basin predominantly through transient warm eddies in the world regularly sees tropical storms (Holland et al. 1987), providing a zonal except the South Atlantic. So why is the South temperature gradient important to creating a Atlantic so different? The latitudes in which TS baroclinic environment essential for ST would normally form is subject to 850-200 hPa formation. climatological shears that are far too strong for pure tropical storms (Pezza and Simmonds 2. METHODOLOGY 2006). However, subtropical storms (ST), as defined by Guishard (2006), can form in such a. -
Rapid Intensification of DOI:10.1175/BAMS-D-16-0134.1 Hurricanes Is Particularly Problematic
WILL GLOBAL WARMING MAKE HURRICANE FORECASTING MORE DIFFICULT? KERRY EMANUEL As the climate continues to warm, hurricanes may intensify more rapidly just before striking land, making hurricane forecasting more difficult. ince 1971, tropical cyclones have claimed about cyclone damage, rising on average 6% yr–1 in inflation- 470,000 lives, or roughly 10,000 lives per year, and adjusted U.S. dollars between 1970 and 2015 (CRED S caused 700 billion U.S. dollars in damages globally 2016). Thus, appreciable increases in forecast skill and/ (CRED 2016). Mortality is strongly dominated by a or decreases of vulnerability, for example, through small number of extremely lethal events; for example, better preparedness, building codes, and evacuation just three storms caused more than 56% of the tropical procedures, will be required to avoid increases in cyclone–related deaths in the United States since 1900. cyclone-related casualties. Tropical cyclone mortality and injury have been Unfortunately, there has been little improvement reduced by improved forecasts and preparedness, espe- in tropical cyclone intensity forecasts over the period cially in developed countries (Arguez and Elsner 2001; from 1990 to the present (DeMaria et al. 2014). While Peduzzi et al. 2012), but through much of the world hurricane track forecasts using numerical prediction this has been offset by large changes in coastal popula- models have steadily improved, there has been only tions. For example, Peduzzi et al. (2012) estimate that slow improvement in forecasts of intensity by these the global population exposed to tropical cyclone same models. Reasons for this include stiff resolu- hazards increased by almost threefold between 1970 tion requirements for the numerical simulations of and 2010, and they project this trend to continue for tropical cyclone intensity (Rotunno et al. -
Machine Learning of Atmospheric Turbulence in a Variational Multiscale Model Msc Thesis
Machine Learning of Atmospheric Turbulence in a Variational Multiscale Model MSc Thesis Martin Janssens Machine Learning of Atmospheric Turbulence in a Variational Multiscale Model MSc Thesis by Martin Janssens to obtain the degree of Master of Science at the Delft University of Technology, to be defended publicly on Tuesday August 27, 2019 at 10:00 AM. Student number: 4275780 Project duration: September 16, 2018 – August 28, 2019 Supervisor: Dr. S. J. Hulshoff, TU Delft Thesis committee: Dr. R. P.Dwight, TU Delft Dr. B. Chen, TU Delft An electronic version of this thesis is available at http://repository.tudelft.nl/. Cover image: The Starry Night, Vincent van Gogh Abstract Today’s leading projections of climate change predicate on atmospheric General Circulation Models (GCMs). Since the atmosphere consists of a staggering range of scales that impact global trends, but computational constraints prevent many of these scales from being directly represented in numerical simulations, GCMs require “parameterisations” - models for the influence of unresolved processes on the resolved scales. State- of-the-art parameterisations are commonly based on combinations of phenomenological arguments and physics, and are of considerably lower fidelity than the resolved simulation. In particular, the parameter- isation of low-altitude stratocumulus clouds that result from small-scale processes in sub-tropical marine boundary layers is widely considered the largest source of uncertainty that remains in contemporary GCMs’ prediction of the temperature response to a global increase in CO2. Improvements in the capacity of machine learning algorithms and the increasing availability of high- fidelity datasets from global satellite data and local Large Eddy Simulations (LES) have identified data-driven parameterisations as a high-potential option to break the deadlock. -
The Influences of the North Atlantic Subtropical High and the African Easterly Jet on Hurricane Tracks During Strong and Weak Seasons
Meteorology Senior Theses Undergraduate Theses and Capstone Projects 2018 The nflueI nces of the North Atlantic Subtropical High and the African Easterly Jet on Hurricane Tracks During Strong and Weak Seasons Hannah Messier Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/mteor_stheses Part of the Meteorology Commons Recommended Citation Messier, Hannah, "The nflueI nces of the North Atlantic Subtropical High and the African Easterly Jet on Hurricane Tracks During Strong and Weak Seasons" (2018). Meteorology Senior Theses. 40. https://lib.dr.iastate.edu/mteor_stheses/40 This Dissertation/Thesis is brought to you for free and open access by the Undergraduate Theses and Capstone Projects at Iowa State University Digital Repository. It has been accepted for inclusion in Meteorology Senior Theses by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. The Influences of the North Atlantic Subtropical High and the African Easterly Jet on Hurricane Tracks During Strong and Weak Seasons Hannah Messier Department of Geological and Atmospheric Sciences, Iowa State University, Ames, Iowa Alex Gonzalez — Mentor Department of Geological and Atmospheric Sciences, Iowa State University, Ames Iowa Joshua J. Alland — Mentor Department of Atmospheric and Environmental Sciences, University at Albany, State University of New York, Albany, New York ABSTRACT The summertime behavior of the North Atlantic Subtropical High (NASH), African Easterly Jet (AEJ), and the Saharan Air Layer (SAL) can provide clues about key physical aspects of a particular hurricane season. More accurate tropical weather forecasts are imperative to those living in coastal areas around the United States to prevent loss of life and property. -
Lecture 15 Hurricane Structure
MET 200 Lecture 15 Hurricanes Last Lecture: Atmospheric Optics Structure and Climatology The amazing variety of optical phenomena observed in the atmosphere can be explained by four physical mechanisms. • What is the structure or anatomy of a hurricane? • How to build a hurricane? - hurricane energy • Hurricane climatology - when and where Hurricane Katrina • Scattering • Reflection • Refraction • Diffraction 1 2 Colorado Flood Damage Hurricanes: Useful Websites http://www.wunderground.com/hurricane/ http://www.nrlmry.navy.mil/tc_pages/tc_home.html http://tropic.ssec.wisc.edu http://www.nhc.noaa.gov Hurricane Alberto Hurricanes are much broader than they are tall. 3 4 Hurricane Raymond Hurricane Raymond 5 6 Hurricane Raymond Hurricane Raymond 7 8 Hurricane Raymond: wind shear Typhoon Francisco 9 10 Typhoon Francisco Typhoon Francisco 11 12 Typhoon Francisco Typhoon Francisco 13 14 Typhoon Lekima Typhoon Lekima 15 16 Typhoon Lekima Hurricane Priscilla 17 18 Hurricane Priscilla Hurricanes are Tropical Cyclones Hurricanes are a member of a family of cyclones called Tropical Cyclones. West of the dateline these storms are called Typhoons. In India and Australia they are called simply Cyclones. 19 20 Hurricane Isaac: August 2012 Characteristics of Tropical Cyclones • Low pressure systems that don’t have fronts • Cyclonic winds (counter clockwise in Northern Hemisphere) • Anticyclonic outflow (clockwise in NH) at upper levels • Warm at their center or core • Wind speeds decrease with height • Symmetric structure about clear "eye" • Latent heat from condensation in clouds primary energy source • Form over warm tropical and subtropical oceans NASA VIIRS Day-Night Band 21 22 • Differences between hurricanes and midlatitude storms: Differences between hurricanes and midlatitude storms: – energy source (latent heat vs temperature gradients) - Winter storms have cold and warm fronts (asymmetric). -
Textremes Forms the Paths of NCM014
Evaluation of the contribution of tropical cyclone seeds to changes in tropical cyclone frequency due to global warming in high-resolution multi-model ensemble simulations Article Published Version Creative Commons: Attribution 4.0 (CC-BY) Open Access Yamada, Y. ORCID: https://orcid.org/0000-0001-6092-9944, Kodama, C., Satoh, M., Sugi, M., Roberts, M. J., Mizuta, R., Noda, A. T., Nasuno, T., Nakano, M. and Vidale, P. L. (2021) Evaluation of the contribution of tropical cyclone seeds to changes in tropical cyclone frequency due to global warming in high-resolution multi-model ensemble simulations. Progress in Earth and Planetary Science, 8 (1). ISSN 2197-4284 doi: https://doi.org/10.1186/s40645-020-00397-1 Available at http://centaur.reading.ac.uk/98236/ It is advisable to refer to the publisher’s version if you intend to cite from the work. See Guidance on citing . Published version at: http://dx.doi.org/10.1186/s40645-020-00397-1 To link to this article DOI: http://dx.doi.org/10.1186/s40645-020-00397-1 Publisher: Springer All outputs in CentAUR are protected by Intellectual Property Rights law, including copyright law. Copyright and IPR is retained by the creators or other copyright holders. Terms and conditions for use of this material are defined in the End User Agreement . www.reading.ac.uk/centaur CentAUR Central Archive at the University of Reading Reading’s research outputs online Yamada et al. Progress in Earth and Planetary Science (2021) 8:11 Progress in Earth and https://doi.org/10.1186/s40645-020-00397-1 Planetary Science RESEARCH ARTICLE Open Access Evaluation of the contribution of tropical cyclone seeds to changes in tropical cyclone frequency due to global warming in high-resolution multi-model ensemble simulations Yohei Yamada1* , Chihiro Kodama1, Masaki Satoh2, Masato Sugi3, Malcolm J. -
Climate Science and Climate Risk: a Primer
Climate Science and Climate Risk: A Primer By Dr. Kerry A. Emanuel Professor of Atmospheric Science Massachusetts Institute of Technology email: [email protected] website: http://eaps4.mit.edu/faculty/Emanuel/ Dr. Kerry A. Emanuel | Climate Science and Climate Risk: A Primer 1 Considerably more than 90% percent of climate scientists attribute the bulk of the increase in global mean temperature over the past three to four decades to the anthropogenic increase in atmospheric greenhouse gases that commenced with the Industrial Revolution.1 The great majority of these scientists hold that continued warming presents significant risks to humankind over the coming centuries. What scientific evidence led the scientific community to these conclusions? How robust is that evidence? To what extent should we trust uncertain projections of future climate change based on complicated global climate models? How do we deal with climate change as a problem of risk assessment and management? his essay summarizes the most important lines of not fit within the existing scientific framework. Scientists T evidence for anthropogenic climate change, confronts then try to repeat and improve on the observation to some of the stickier questions behind uncertainty in determine whether it really is an outlier. Next, they may pose climate projections, and concludes with a discussion of the one or more hypotheses to explain the observation, and if a particular risks entailed by climate change and how they are hypothesis succeeds in explaining not only that observation being quantified. but others as well, and especially if it successfully predicts The essay is structured as follows. First, a brief history of what has not yet been observed, the hypothesis may advance climate science reveals that the most important principles to the status of a theory. -
Hurricane & Tropical Storm
5.8 HURRICANE & TROPICAL STORM SECTION 5.8 HURRICANE AND TROPICAL STORM 5.8.1 HAZARD DESCRIPTION A tropical cyclone is a rotating, organized system of clouds and thunderstorms that originates over tropical or sub-tropical waters and has a closed low-level circulation. Tropical depressions, tropical storms, and hurricanes are all considered tropical cyclones. These storms rotate counterclockwise in the northern hemisphere around the center and are accompanied by heavy rain and strong winds (NOAA, 2013). Almost all tropical storms and hurricanes in the Atlantic basin (which includes the Gulf of Mexico and Caribbean Sea) form between June 1 and November 30 (hurricane season). August and September are peak months for hurricane development. The average wind speeds for tropical storms and hurricanes are listed below: . A tropical depression has a maximum sustained wind speeds of 38 miles per hour (mph) or less . A tropical storm has maximum sustained wind speeds of 39 to 73 mph . A hurricane has maximum sustained wind speeds of 74 mph or higher. In the western North Pacific, hurricanes are called typhoons; similar storms in the Indian Ocean and South Pacific Ocean are called cyclones. A major hurricane has maximum sustained wind speeds of 111 mph or higher (NOAA, 2013). Over a two-year period, the United States coastline is struck by an average of three hurricanes, one of which is classified as a major hurricane. Hurricanes, tropical storms, and tropical depressions may pose a threat to life and property. These storms bring heavy rain, storm surge and flooding (NOAA, 2013). The cooler waters off the coast of New Jersey can serve to diminish the energy of storms that have traveled up the eastern seaboard. -
ANNUAL SUMMARY Atlantic Hurricane Season of 2005
MARCH 2008 ANNUAL SUMMARY 1109 ANNUAL SUMMARY Atlantic Hurricane Season of 2005 JOHN L. BEVEN II, LIXION A. AVILA,ERIC S. BLAKE,DANIEL P. BROWN,JAMES L. FRANKLIN, RICHARD D. KNABB,RICHARD J. PASCH,JAMIE R. RHOME, AND STACY R. STEWART Tropical Prediction Center, NOAA/NWS/National Hurricane Center, Miami, Florida (Manuscript received 2 November 2006, in final form 30 April 2007) ABSTRACT The 2005 Atlantic hurricane season was the most active of record. Twenty-eight storms occurred, includ- ing 27 tropical storms and one subtropical storm. Fifteen of the storms became hurricanes, and seven of these became major hurricanes. Additionally, there were two tropical depressions and one subtropical depression. Numerous records for single-season activity were set, including most storms, most hurricanes, and highest accumulated cyclone energy index. Five hurricanes and two tropical storms made landfall in the United States, including four major hurricanes. Eight other cyclones made landfall elsewhere in the basin, and five systems that did not make landfall nonetheless impacted land areas. The 2005 storms directly caused nearly 1700 deaths. This includes approximately 1500 in the United States from Hurricane Katrina— the deadliest U.S. hurricane since 1928. The storms also caused well over $100 billion in damages in the United States alone, making 2005 the costliest hurricane season of record. 1. Introduction intervals for all tropical and subtropical cyclones with intensities of 34 kt or greater; Bell et al. 2000), the 2005 By almost all standards of measure, the 2005 Atlantic season had a record value of about 256% of the long- hurricane season was the most active of record. -
Hurricane & Tornado Risks in June
June 4, 2021 Hurricane & Tornado Risks in June · Several changes in the weather typically occur in June across the Lower 48. Tropical Development · Atlantic hurricane season officially starts June 1, although it has started early the last seven years, including this year. · On average in the Atlantic Basic, one named storm forms every one to two years in June and a hurricane develops about once every five years. · Early in the season, tropical systems tend to form close to the U.S. and often affect the Southeastern U.S., the western Caribbean and parts of Central America. Rainfall, rather than wind, is usually the biggest concern with June tropical cyclones. Tornado Risks · June is typically an active month for tornadoes. · Tornadoes can happen just about anywhere in the Lower 48 in June, given the widespread warmth and humidity. · Low pressure systems can create the ingredients for severe weather in the Plains and Midwest, in particular. The area at greatest risk of tornadoes in June stretches from central Oklahoma into southwestern Minnesota. · Brief, usually weaker tornadoes often occur near the Gulf Coast during the summer. These are usually caused by sea-breeze thunderstorms and sea breeze collisions closer to the coast. Scattered thunderstorms can also create brief tornadoes across much of the South. · Tropical systems can also bring tornadoes, although they are usually weak and short-lived. · Peak hail activity also occurs in June, according to some studies. The Central and Southern Plains see an increase in hail during the early summer due to the combination of the jet stream, moisture from the Gulf of Mexico and daytime heating. -
IUGG03-Program.Pdf
The Science Council of Japan and sixteen Japanese scientific societies will host IUGG2003, the XXIII General Assembly of the International Union of Geodesy and Geophysics. Hosts Science Council of Japan The Geodetic Society of Japan Seismological Society of Japan The Volcanological Society of Japan Meteorological Society of Japan Society of Geomagnetism and Earth, Planetary and Space Sciences Japan Society of Hydrology and Water Resources The Japanese Association of Hydrological Sciences The Japanese Society of Snow and Ice The Oceanographic Society of Japan The Japanese Society for Planetary Sciences The Japanese Society of Limnology Japan Society of Civil Engineers Japanese Association of Groundwater Hydrology The Balneological Society of Japan Japan Society of Erosion Control Engineering The Geochemical Society of Japan Special Support Hokkaido Prefecture City of Sapporo Co-Sponsor National Research Institute for Earth Science and Disaster Prevention (JSS01 Hagiwara Symposium on Monitoring and Modeling of Earthquake and Volcanic Processes for Prediction) Center for Climate System Research, University of Tokyo (JSM01 Toward High Resolution Climate Models and Earth System Models) Support Ministry of Education, Culture, Sports, Science and Technology Ministry of Economy, Trade and Industry Ministry of Land, Infrastructure and Transport Japan Marine Science and Technology Center National Institute of Advanced Industrial Science and Technology Japan Earth and Planetary Science Joint Meeting Organization Japanese Forestry Society Japan Business -
A Preliminary Investigation of Derecho-Producing Mcss In
P 3.1 TROPICAL CYCLONE TORNADO RECORDS FOR THE MODERNIZED NWS ERA Roger Edwards1 Storm Prediction Center, Norman, OK 1. INTRODUCTION and BACKGROUND since 1954 was attributable to the weakest (F0) bin of damage rating (Fig. 1). This is the very class of Tornadoes from tropical cyclones (hereafter TCs) tornado that is most common in TC records, and most pose a specialized forecast challenge at time scales difficult to detect in the damage above that from the ranging from days for outlooks to minutes for concurrent or subsequent passage of similarly warnings (Spratt et al. 1997, Edwards 1998, destructive, ambient TC winds. As such, it is possible Schneider and Sharp 2007, Edwards 2008). The (but not quantifiable) that many TC tornadoes have fundamental conceptual and physical tenets of gone unrecorded even in the modern NWS era, due midlatitude supercell prediction, in an ingredients- to their generally ephemeral nature, logistical based framework (e.g., Doswell 1987, Johns and difficulties of visual confirmation, presence of swaths Doswell 1992), fully apply to TC supercells; however, of sparsely populated near-coastal areas (i.e., systematic differences in the relative magnitudes of marshes, swamps and dense forests), and the moisture, instability, lift and shear in TCs (e.g., presence of damage inducers of potentially equal or McCaul 1991) contribute strongly to that challenge. greater impact within the TC envelope. Further, there is a growing realization that some TC tornadoes are not necessarily supercellular in origin (Edwards et al. 2010, this volume). Several major TC tornado climatologies have been published since the 1960s (e.g., Pearson and Sadowski 1965, Hill et al.