Current Research Towards Tornado Resilient Communities the Building
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Human Vulnerability to Tornadoes in the United States Is Highest In
1 Human vulnerability to tornadoes in the United States is highest in 2 urbanized areas of the Mid South ∗ 3 James B. Elsner and Tyler Fricker 4 Florida State University, Tallahassee, Florida ∗ 5 Corresponding author address: James B. Elsner, Department of Geography, Florida State Univer- 6 sity, 113 Collegiate Loop, Tallahassee, FL 32301. 7 E-mail: [email protected] Generated using v4.3.2 of the AMS LATEX template 1 ABSTRACT 8 Risk factors for tornado casualties are well known. Less understood is how 9 and to what degree these factors, after controlling for strength and the number 10 of people affected, vary over space and time. Here we fit models to casualty 11 counts from all casualty-producing tornadoes during the period 1995–2016 in 12 order to quantify the interactions between population and energy on casualty 13 (deaths plus injuries) rates. Results show that the more populated areas of the 14 Mid South are substantially and significantly more vulnerable to casualties 15 than elsewhere in the country. In this region casualty rates are significantly 16 higher on the weekend. Night and day casualty rates are similar regardless 17 of where the tornadoes occur. States with a high percentage of older people 18 (65+) tend to have greater vulnerability perhaps related to less agility and 19 fewer communication options. 2 20 1. Introduction 21 Nearly one fifth of all natural-hazards fatalities in the United States are the direct result of tor- 22 nadoes (National Oceanic and Atmospheric Administration 2015). A tornado that hits a city is 23 capable of inflicting hundreds or thousands of casualties. -
3.2 an Evaluation of Tornado Intensity Using Velocity and Strength Attributes from the Wsr-88D Mesocyclone Detection Algorithm
3.2 AN EVALUATION OF TORNADO INTENSITY USING VELOCITY AND STRENGTH ATTRIBUTES FROM THE WSR-88D MESOCYCLONE DETECTION ALGORITHM Darrel M. Kingfield*,1,2, James G. LaDue3, and Kiel L. Ortega1,2 1Cooperative Institute for Mesoscale Meteorological Studies (CIMMS), Norman, OK 2NOAA/OAR/National Severe Storms Laboratory (NSSL), Norman, OK 3NOAA/NWS/OCWWS/Warning Decision Training Branch (WDTB), Norman, OK 1. INTRODUCTION undergone several improvements since these studies, including the integration of super-resolution data. National Weather Service (NWS) service Super-resolution data (Torres and Curtis, 2007) at the assessments following the 2011 April 27 southeast split-cut elevations reduces the effective beamwidth to US tornado outbreak, and the 2011 May 22 Joplin 1.02 from the legacy 1.38 , allowing for vortex tornado found that the population failed to personalize signatures⁰ to be resolved at longer⁰ ranges from the the potential severity of the tornadoes for which they radar (Brown et al. 2002; Brown et al. 2005). In this were warned. The lack of specific information paper, we investigate how the MDA output correlates contained within the warnings has been cited as a to maximum intensity found in a tornado path. major reason why more action was not taken (NOAA, 2011a, 2011b). As a result, a number of meetings 2. DATA & METHODS amongst government, the private and the academic sectors have begun to formulate a plan to improve 2.1 Acquisition & Playback impact-based warning services. In fact, this is the number one goal of the Weather Ready Nation The initial tornado track dataset was composed initiative within the NWS (NOAA, 2012). -
Observations and Laboratory Simulations of Tornadoes in Complex Topographical Regions Christopher D
Iowa State University Capstones, Theses and Graduate Theses and Dissertations Dissertations 2012 Observations and Laboratory Simulations of Tornadoes in Complex Topographical Regions Christopher D. Karstens Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/etd Part of the Atmospheric Sciences Commons, and the Meteorology Commons Recommended Citation Karstens, Christopher D., "Observations and Laboratory Simulations of Tornadoes in Complex Topographical Regions" (2012). Graduate Theses and Dissertations. 12778. https://lib.dr.iastate.edu/etd/12778 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Observations and laboratory simulations of tornadoes in complex topographical regions by Christopher Daniel Karstens A dissertation submitted to the graduate faculty in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Major: Meteorology Program of Study Committee: William A. Gallus, Jr., Major Professor Partha P. Sarkar Bruce D. Lee Catherine A. Finley Raymond W. Arritt Xiaoqing Wu Iowa State University Ames, Iowa 2012 Copyright © Christopher Daniel Karstens, 2012. All rights reserved. ii TABLE OF CONTENTS LIST OF FIGURES .............................................................................................. -
The Geneva Reports
The Geneva Reports Risk and Insurance Research www.genevaassociation.org Extreme events and insurance: 2011 annus horribilis edited by Christophe Courbage and Walter R. Stahel No. 5 Marc h 2012 The Geneva Association (The International Association for the Study of Insurance Economics The Geneva Association is the leading international insurance think tank for strategically important insurance and risk management issues. The Geneva Association identifies fundamental trends and strategic issues where insurance plays a substantial role or which influence the insurance sector. Through the development of research programmes, regular publications and the organisation of international meetings, The Geneva Association serves as a catalyst for progress in the understanding of risk and insurance matters and acts as an information creator and disseminator. It is the leading voice of the largest insurance groups worldwide in the dialogue with international institutions. In parallel, it advances—in economic and cultural terms—the development and application of risk management and the understanding of uncertainty in the modern economy. The Geneva Association membership comprises a statutory maximum of 90 Chief Executive Officers (CEOs) from the world’s top insurance and reinsurance companies. It organises international expert networks and manages discussion platforms for senior insurance executives and specialists as well as policy-makers, regulators and multilateral organisations. The Geneva Association’s annual General Assembly is the most prestigious gathering of leading insurance CEOs worldwide. Established in 1973, The Geneva Association, officially the “International Association for the Study of Insurance Economics”, is based in Geneva, Switzerland and is a non-profit organisation funded by its members. Chairman: Dr Nikolaus von Bomhard, Chairman of the Board of Management, Munich Re, Munich. -
Browndegerena Udel 0
COMPLEXITIES OF MASS FATALITY INCIDENTS IN THE UNITED STATES: EXPLORING TELECOMMUNICATION FAILURE by Melissa L. Brown de Gerena A dissertation submitted to the Faculty of the University of Delaware in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Disaster Science and Management Winter 2021 © 2021 Melissa L. Brown de Gerena All Rights Reserved COMPLEXITIES OF MASS FATALITY INCIDENTS IN THE UNITED STATES: EXPLORING TELECOMMUNICATION FAILURE by Melissa L. Brown de Gerena Approved: __________________________________________________________ James Kendra, Ph.D. Director of the Disaster Science and Management Program Approved: __________________________________________________________ Maria P. Aristigueta, D.P.A. Dean of the Joseph R. Biden, Jr. School of Public Policy and Administration Approved: __________________________________________________________ Louis F. Rossi, Ph.D. Vice Provost for Graduate and Professional Education and Dean of the Graduate College I certify that I have read this dissertation and that in my opinion it meets the academic and professional standard required by the University as a dissertation for the degree of Doctor of Philosophy. Signed: __________________________________________________________ Sue McNeil, Ph.D. Professor in charge of dissertation I certify that I have read this dissertation and that in my opinion it meets the academic and professional standard required by the University as a dissertation for the degree of Doctor of Philosophy. Signed: __________________________________________________________ Melissa Melby, Ph.D. Member of dissertation committee I certify that I have read this dissertation and that in my opinion it meets the academic and professional standard required by the University as a dissertation for the degree of Doctor of Philosophy. Signed: __________________________________________________________ Rachel Davidson, Ph.D. -
6.3 a Comparison of High Resolution Tornado Surveys to Doppler Radar Observed Vortex Parameters: 2011-2012 Case Studies
6.3 A COMPARISON OF HIGH RESOLUTION TORNADO SURVEYS TO DOPPLER RADAR OBSERVED VORTEX PARAMETERS: 2011-2012 CASE STUDIES James G. LaDue1*, Kiel Ortega2,3, Brandon Smith2,3, Greg Stumpf2,3, and Darrel Kingfield2,3 1NOAA/NWS/OCWWS/Warning Decision Training Branch (WDTB), Norman, OK 2NOAA/OAR/National Severe Storms Laboratory (NSSL), Norman, OK 3Cooperative Institute for Mesoscale Meteorological Studies (CIMMS), Norman, OK 1. INTRODUCTION significant portion of it. However, an impact-based tornado warning requires a real-time nowcast of tornado We are motivated to the goal of mitigating negative intensity. This study builds upon the work of Kingfield et outcomes from specific hazards like tornadoes as a al. (2012) and attempts to answer whether a radar- result of findings from recent NWS service based real-time nowcast is possible. Then contingent assessments. These findings revealed that warning on a positive answer, guidance can be developed based responses were often inadequate, sometimes due to on a more thorough study. lack of specific information regarding the magnitude of the threat and expected impacts (NOAA, 2011a & b). 2. BACKGROUND As a response, the Central Region of the NWS initiated an impact-based tornado warning experiment in 2012 2.1 Radar (Hudson et al. 2012b). Forecasters were expected to disseminate tiered tornado warnings based on the The major challenge to making a successful potential damage they may cause. Though nowcasting relationship between observed and radar-based tornado tornado intensity wasn’t explicitly included in the intensity is beam center offset relative to a vortex directives for the experiment, forecasters still based center. -
Can Elevation Be Associated with the 2011 Joplin, Missouri, Tornado
aphy & N r at Stimers and Paul, J Geogr Nat Disast 2017, 7:2 og u e ra l G f D DOI: 10.4172/2167-0587.1000202 o i s l a Journal of a s n t r e u r s o J ISSN: 2167-0587 Geography & Natural Disasters ResearchReview Article Article Open Access Can Elevation be Associated with the 2011 Joplin, Missouri, Tornado Fatalities? An Empirical Study Mitchel Stimers* and Bimal Kanti Paul Department of Natural and Physical Sciences, Cloud County Community College, Junction City, Kansas, 66441, USA Abstract The 2011 Joplin, MO, USA, tornado set a record in terms of the number of lives lost-no other tornado in the United States had killed as many as 161 people since 1950. There are many stochastic parameters that can affect the speed, direction, and magnitude of a tornado and it is thought that elevation may play a role in tornado intensity. The Joplin tornado created a track whose elevation was approximately 50 m from beginning to end, providing the impetus to examine whether or not the elevation change over the damage path tornado is associated with fatalities that resulted from the event. Using data collected from various sources, and the application of GIS as well as non-parametric statistics, we reveal that the elevation and tornado fatalities are inversely related, however; the relationship is not statistically significant, the reasons for which are discussed. Keywords: Joplin tornado; Tornado fatalities; Elevation; Damage Dating to 1950, when official tabulation began, no other tornado zone; GIS in the US had killed as many people as the Joplin event. -
Joplin, Missouri
Taking Action: Rebuilding Joplin after the Tornado Using the ATSDR Brownfields / Land Revitalization Action Model Green Complete Streets in the 20th Street Corridor Joplin, MO / January, 2014 Taking Action: Rebuilding Joplin after the Tornado 1 Using the ATSDR Brownfields / Land Revitalization Action Model Contents Land Revitalization Action Model ............................................................................4 1. Access to Nature ........................................................................................................................................5 2. Get Outside/ Be More Active ............................................................................................9 3. Clean Environment/ Accessibility ....................................................................... 13 4. Healthier/ More Affordable Food Choices ........................................ 19 5. Want to Feel Safer ............................................................................................................................... 21 6. Get Around Without a Car ................................................................................................. 22 7. Other Health Issues ......................................................................................................................... 23 8. Communications ................................................................................................................................. 24 9. Employment / Education ...................................................................................................... -
NWS Central Region Service Assessment Joplin, Missouri, Tornado – May 22, 2011
NWS Central Region Service Assessment Joplin, Missouri, Tornado – May 22, 2011 U.S. DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration National Weather Service, Central Region Headquarters Kansas City, MO July 2011 Cover Photographs Left: NOAA Radar image of Joplin Tornado. Right: Aftermath of Joplin, MO, tornado courtesy of Jennifer Spinney, Research Associate, University of Oklahoma, Social Science Woven into Meteorology. Preface On May 22, 2011, one of the deadliest tornadoes in United States history struck Joplin, Missouri, directly killing 159 people and injuring over 1,000. The tornado, rated EF-5 on the Enhanced Fujita Scale, with maximum winds over 200 mph, affected a significant part of a city with a population of more than 50,000 and a population density near 1,500 people per square mile. As a result, the Joplin tornado was the first single tornado in the United States to result in over 100 fatalities since the Flint, Michigan, tornado of June 8, 1953. Because of the rarity and historical significance of this event, a regional Service Assessment team was formed to examine warning and forecast services provided by the National Weather Service. Furthermore, because of the large number of fatalities that resulted from a warned tornado event, this Service Assessment will provide additional focus on dissemination, preparedness, and warning response within the community as they relate to NWS services. Service Assessments provide a valuable contribution to ongoing efforts by the National Weather Service to improve the quality, timeliness, and value of our products and services. Findings and recommendations from this assessment will improve techniques, products, services, and information provided to our partners and the American public. -
Rapid Intensification, Storm Merging, and the 2011 Joplin Tornado The
Rapid Intensification, Storm Merging, and the 2011 Joplin Tornado The rapid intensification of low-level vertical wind shear leading to tornado formation (tornadogenesis) may have a source in the interaction of cells merging with a parent storm. Our research uses high-resolution (sub-1 km) Weather Research and Forecasting Model (WRF) simulations to analyze the significance of storm mergers in the subsequent intensification of the parent circulation (mesocyclone) and tornadic vortex in the devastating 22 May 2011 Joplin, Missouri case. This event was noted for the rapid evolution of the storm, in association with storm mergers, from tornadogenesis to its peak EF-5 intensity in approximately four minutes according to the National Weather Service’s Event Assessment. By identifying the connection between the merger(s) and rapid intensification, a better understanding of tornadogenesis can be achieved. Approaching this event from a modeling perspective, we used real-data WRF simulations to reproduce the observed behavior in a controlled environment. Current simulations have replicated many aspects of storm structure and evolution observed on this day. The simulation results in tornadic-strength surface rotation shortly after the occurrence of a storm merger. Increased precipitation loading from the merging cell precedes a descending reflectivity core (DRC), which recent studies have found may play a role in the intensification of low-level rotation through increased convergence along the rear-flank gust front. The exact process leading to intensification will be the topic of forthcoming research. One opportunity afforded by modeling is the ability to test hypotheses by altering the environment or physical processes. Identifying if the storm would have been as intense without the presence of cell mergers is essential to quantifying the effect of these mergers. -
Optimal Resource Allocation Model to Prevent, Prepare, and Respond to Multiple Disruptions, with Application to the Deepwater Horizon Oil Spill and Hurricane Katrina
Industrial and Manufacturing Systems Industrial and Manufacturing Systems Engineering Publications Engineering 1-28-2021 Optimal Resource Allocation Model to Prevent, Prepare, and Respond to Multiple Disruptions, with Application to the Deepwater Horizon Oil Spill and Hurricane Katrina Cameron A. MacKenzie Iowa State University, [email protected] Amro Al Kazimi Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/imse_pubs Part of the Operational Research Commons, Risk Analysis Commons, and the Systems Engineering Commons The complete bibliographic information for this item can be found at https://lib.dr.iastate.edu/ imse_pubs/261. For information on how to cite this item, please visit http://lib.dr.iastate.edu/ howtocite.html. This Book Chapter is brought to you for free and open access by the Industrial and Manufacturing Systems Engineering at Iowa State University Digital Repository. It has been accepted for inclusion in Industrial and Manufacturing Systems Engineering Publications by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Optimal Resource Allocation Model to Prevent, Prepare, and Respond to Multiple Disruptions, with Application to the Deepwater Horizon Oil Spill and Hurricane Katrina Abstract Determining how to allocate resources in order to prevent and prepare for disruptions is a challenging task for homeland security officials. Disruptions ear uncertain events with uncertain consequences. Resources that could be used to prepare for unlikely disruptions may be better used for other priorities. This chapter presents an optimization model to help homeland security officials determine howo t allocate resources to prevent and prepare for multiple disruptions and how to allocate resources to respond to and recover from a disruption. -
Claim: Global Warming Is Causing More and Stronger Tornadoes
Claim: Global warming is causing more and stronger tornadoes REBUTTAL Tornadoes are failing to follow “global warming” predictions. Big tornadoes have seen a drop in frequency since the 1950s. The years 2012, 2013, 2014, 2015 and 2016 all saw below average to near record low tornado counts in the U.S. since records began in 1954. 2017 to date has rebounded only to the long-term mean. This lull followed a very active and deadly strong La Nina of 2010/11, which like the strong La Nina of 1973/74 produced record setting and very deadly outbreaks of tornadoes. Population growth and expansion outside urban areas have exposed more people to the tornadoes that once roamed through open fields. Tornado detection has improved with the addition of NEXRAD, the growth of the trained spotter networks, storm chasers armed with cellular data and imagery and the proliferation of cell phone cameras and social media. This shows up most in the weak EF0 tornado count but for storms from moderate EF1 to strong EF 3+ intensity, the trend has been flat to down despite improved detection. ------------------------------------------------------------------------------------------------------- Source: Storm Prediction Center Source: Storm Prediction Center Source: Storm Prediction Center Source: Storm Prediction Center Tornado outbreaks of significance occur most frequently in La Nina years, which are favored when the Pacific is cold as it was in the 1950s to the early 1970s and more recently 1999, 2008, 2010 and 2011. Source: Storm Prediction Center The death toll in the strong La Nina of 2011 was the highest since the “Superoutbreak” in the strong La Nina year of 1974.