A Sounding Derived Climatology of Significant Tornado Events in The
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New Methods in Tornado Climatology
Geography Compass 9/4 (2015): 157–168, 10.1111/gec3.12205 New Methods in Tornado Climatology Holly M. Widen*, Tyler Fricker and James B. Elsner Florida State University Abstract How climate change might affect tornadoes remains an open scientific question. Climatological studies are often contested due to inconsistencies in the available data. Statistical methods are used to overcome some of the data limitations. A few of these methods including using the proportion of tornadoes occur- ring on big tornado days, estimating tornado energy from the damage path, and modeling counts spatially are described here. The methods move beyond analyses of occurrences by damage ratings and spatial smoothing. Applications of these and related methods will help grow the nascent field of tornado climatology. 1. Introduction Climate change and the recent high-impact tornado events have bolstered interest in the field of tornado climatology (Agee and Childs, 2014; Dixon et al., 2011; Farney and Dixon, 2014; Simmons and Sutter, 2012; Standohar-Alfano and van de Lindt, 2014). There is much to learn about how tornadoes might collectively change as the earth continues to warm. For example, new research shows more tornadoes on fewer days (Brooks et al., 2014; Elsner et al., 2014a), perhaps related to the combination of addi- tional moisture and warming aloft (Elsner et al., 2014a). Yet there is greater uncertainty surrounding the interpretation of such results owing to the nature of the dataset (Kunkel et al., 2013). Methods are needed to model the data that allow more confident physical interpretations. The Storm Prediction Center (SPC) contains the most readily available tornado database in the world. -
Article a Climatological Perspective on the 2011 Alabama Tornado
Chaney, P. L., J. Herbert, and A. Curtis, 2013: A climatological perspective on the 2011 Alabama tornado outbreak. J. Operational Meteor., 1 (3), 1925, doi: http://dx.doi.org/10.15191/nwajom.2013.0103. Journal of Operational Meteorology Article A Climatological Perspective on the 2011 Alabama Tornado Outbreak PHILIP L. CHANEY Auburn University, Auburn, Alabama JONATHAN HERBERT and AMY CURTIS Jacksonville State University, Jacksonville, Alabama (Manuscript received 23 January 2012; in final form 17 September 2012) ABSTRACT This paper presents a comparison of the recent 27 April 2011 tornado outbreak with a tornado climatology for the state of Alabama. The climatology for Alabama is based on tornadoes that affected the state during the 19812010 period. A county-level risk index is produced from this climatology. Tornado tracks from the 2011 outbreak are mapped and compared with the climatology and risk index. There were 62 tornadoes in Alabama on 27 April 2011, including many long-track and intense tornadoes. The event resulted in 248 deaths in the state. The 2011 outbreak is also compared with the April 1974 tornado outbreak in Alabama. 1. Introduction population density (Gagan et al. 2010; Dixon et al. 2011). Tornadoes have been documented in every state in Alabama is affected in the spring and fall by the United States and on every continent except midlatitude cyclones, often associated with severe Antarctica. The United States has by far the most weather and tornadoes. During summer and fall tornado reports annually of any country, averaging tornadoes also can be produced by tropical cyclones. A about 1,300 yr-1. -
19.4 Updated Mobile Radar Climatology of Supercell
19.4 UPDATED MOBILE RADAR CLIMATOLOGY OF SUPERCELL TORNADO STRUCTURES AND DYNAMICS Curtis R. Alexander* and Joshua M. Wurman Center for Severe Weather Research, Boulder, Colorado 1. INTRODUCTION evolution of angular momentum and vorticity near the surface in many of the tornado cases is also High-resolution mobile radar observations of providing some insight into possible modes of supercell tornadoes have been collected by the scale contraction for tornadogenesis and failure. Doppler On Wheels (DOWs) platform between 1995 and present. The result of this ongoing effort 2. DATA is a large observational database spanning over 150 separate supercell tornadoes with a typical The DOWs have collected observations in and data resolution of O(50 m X 50 m X 50 m), near supercell tornadoes from 1995 through 2008 updates every O(60 s) and measurements within including the fields of Doppler velocity, received 20 m of the surface (Wurman et al. 1997; Wurman power, normalized coherent power, radar 1999, 2001). reflectivity, coherent reflectivity and spectral width (Wurman et al. 1997). Stemming from this database is a multi-tiered effort to characterize the structure and dynamics of A typical observation is a four-second quasi- the high wind speed environments in and near horizontal scan through a tornado vortex. To date supercell tornadoes. To this end, a suite of there have been over 10000 DOW observations of algorithms is applied to the radar tornado supercell tornadoes comprising over 150 individual observations for quality assurance along with tornadoes. detection, tracking and extraction of kinematic attributes. Data used for this study include DOW supercell tornado observations from 1995-2003 comprising The integration of observations across tornado about 5000 individual observations of 69 different cases in the database is providing an estimate of mesocyclone-associated tornadoes. -
Dixie Alley: Fact Or Fallacy : an in Depth Analysis of Tornado Distribution in Alabama
Mississippi State University Scholars Junction Theses and Dissertations Theses and Dissertations 1-1-2004 Dixie alley: Fact or Fallacy : An In Depth Analysis of Tornado Distribution in Alabama Kristin Nichole Hurley Follow this and additional works at: https://scholarsjunction.msstate.edu/td Recommended Citation Hurley, Kristin Nichole, "Dixie alley: Fact or Fallacy : An In Depth Analysis of Tornado Distribution in Alabama" (2004). Theses and Dissertations. 1549. https://scholarsjunction.msstate.edu/td/1549 This Graduate Thesis - Open Access is brought to you for free and open access by the Theses and Dissertations at Scholars Junction. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of Scholars Junction. For more information, please contact [email protected]. DIXIE ALLEY:FACT OR FALLACY AN IN DEPTH ANALYSIS OF TORNADO DISTRIBUTION IN ALABAMA By Kristin Nichole Hurley A Thesis Submitted to the Faculty of Mississippi State University in Partial Fulfillment of the Requirements for the Degree of Master of Science in Geoscience in the Department of Geosciences Mississippi State, Mississippi May 2004 Copyright by Kristin Nichole Hurley 2004 DIXIE ALLEY: FACT OR FALLACY AN IN DEPTH ANALYSIS OF TORNADO DISTRIBUTION IN ALABAMA By Kristin Nichole Hurley ______________________________ ______________________________ Michael E. Brown Charles L. Wax Assistant Professor of Geosciences Professor of Geosciences (Director of Thesis) (Committee Member) ______________________________ ______________________________ John C. Rodgers, III John E. Mylroie Assistant Professor of Geosciences Graduate Coordinator of the Department (Committee Member) of Geosciences ______________________________ ______________________________ Mark S. Binkley Philip B. Oldham Professor and Head of the Department of Dean and Professor of the College of Geosciences Arts and Sciences Name: Kristin Nichole Hurley Date of Degree: May 8, 2004 Institution: Mississippi State University Major Field: Geoscience Major Professor: Dr. -
Florida's Tornado Climatology: Occurrence Rates, Casualties, and Property Losses Emily Ryan
Florida State University Libraries Electronic Theses, Treatises and Dissertations The Graduate School 2018 Florida's Tornado Climatology: Occurrence Rates, Casualties, and Property Losses Emily Ryan Follow this and additional works at the DigiNole: FSU's Digital Repository. For more information, please contact [email protected] FLORIDA STATE UNIVERSITY COLLEGE OF SOCIAL SCIENCES & PUBLIC POLICY FLORIDA'S TORNADO CLIMATOLOGY: OCCURRENCE RATES, CASUALTIES, AND PROPERTY LOSSES By EMILY RYAN A Thesis submitted to the Department of Geography in partial fulfillment of the requirements for the degree of Master of Science 2018 Copyright c 2018 Emily Ryan. All Rights Reserved. Emily Ryan defended this thesis on April 6, 2018. The members of the supervisory committee were: James B. Elsner Professor Directing Thesis David C. Folch Committee Member Mark W. Horner Committee Member The Graduate School has verified and approved the above-named committee members, and certifies that the thesis has been approved in accordance with university requirements. ii TABLE OF CONTENTS List of Tables . v List of Figures . vi Abstract . viii 1 Introduction 1 1.1 Definitions . 1 1.2 Where Tornadoes Occur . 3 1.3 Tornadoes in Florida . 4 1.4 Goals and Objectives . 6 1.5 Tornado Climatology as Geography . 6 1.6 Outline of the Thesis . 7 2 Data and Methods 9 2.1 Data . 9 2.1.1 Tornado Data . 9 2.1.2 Tropical Cyclone Tornado Data . 11 2.1.3 Property Value Data . 13 2.2 Statistical Methods . 15 2.3 Analysis Variables . 16 2.3.1 Occurrence Rates . 16 2.3.2 Casualties . 16 2.3.3 Property Exposures . -
Explaining the Trends and Variability in the United States Tornado Records
www.nature.com/scientificreports OPEN Explaining the trends and variability in the United States tornado records using climate teleconnections and shifts in observational practices Niloufar Nouri1*, Naresh Devineni1,2*, Valerie Were2 & Reza Khanbilvardi1,2 The annual frequency of tornadoes during 1950–2018 across the major tornado-impacted states were examined and modeled using anthropogenic and large-scale climate covariates in a hierarchical Bayesian inference framework. Anthropogenic factors include increases in population density and better detection systems since the mid-1990s. Large-scale climate variables include El Niño Southern Oscillation (ENSO), Southern Oscillation Index (SOI), North Atlantic Oscillation (NAO), Pacifc Decadal Oscillation (PDO), Arctic Oscillation (AO), and Atlantic Multi-decadal Oscillation (AMO). The model provides a robust way of estimating the response coefcients by considering pooling of information across groups of states that belong to Tornado Alley, Dixie Alley, and Other States, thereby reducing their uncertainty. The infuence of the anthropogenic factors and the large-scale climate variables are modeled in a nested framework to unravel secular trend from cyclical variability. Population density explains the long-term trend in Dixie Alley. The step-increase induced due to the installation of the Doppler Radar systems explains the long-term trend in Tornado Alley. NAO and the interplay between NAO and ENSO explained the interannual to multi-decadal variability in Tornado Alley. PDO and AMO are also contributing to this multi-time scale variability. SOI and AO explain the cyclical variability in Dixie Alley. This improved understanding of the variability and trends in tornadoes should be of immense value to public planners, businesses, and insurance-based risk management agencies. -
Mid-South Severe Weather Climatology Study
Mid-South Severe Weather Climatology Study Ryan Husted National Weather Service Memphis, Tennessee The Mid-South is known for its volatile and deadly weather. Ashley (2007) showed that the Mid-South leads the country in the relative frequency of killer tornadoes. Unlike much of the United States, the Mid-South can have severe weather at any time during the year. There were two primary motivators for this study. The first motivating factor for this study was to educate the public, media and weather forecasters on the frequency and tendencies of severe weather across the Mid-South and to use the results of the study to disprove some severe weather myths/stereotypes that are commonly heard in the region. Some of the myths are “the bluffs protect our area,” “tornadoes do not cross the Mississippi River” and “most tornadoes occur during the day.” The results of this study prove all of these local myths are incorrect. The second motivating factor was to replicate the previous climatology study, entitled “Severe Weather Climatology for the NWSFO Memphis County Warning Area,” by Gaffin and Smith (1995). By replicating this study, 18 more years of severe weather data are added. This includes the tornado outbreaks of March 1, 1997, January 17-22, 1999, May 4-8, 2003, April 2, 2006, the Super Tuesday Outbreak of February 5, 2008, July 30, 2009, May 1-2, 2010 and the Late April 2011 Tornado Outbreak. This study also includes the famous bow echo event from July 22, 2003, locally referred to as “Hurricane Elvis.” In addition to the previous study, calculations were performed for severe weather related to the El Nino Southern Oscillation (ENSO) cycle since it is believed that tornadoes are more frequent during La Nina years. -
Geographic Shift and Environment Change of U.S. Tornado Activities in a Warming Climate
atmosphere Article Geographic Shift and Environment Change of U.S. Tornado Activities in a Warming Climate Zuohao Cao 1,*, Huaqing Cai 2 and Guang J. Zhang 3 1 Meteorological Research Division, Environment and Climate Change Canada, Toronto, ON M3H 5T4, Canada 2 U.S. Army Research Laboratory, White Sands Missile Range, NM 88002, USA; [email protected] 3 Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92093, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-416-739-4551 Abstract: Even with ever-increasing societal interest in tornado activities engendering catastrophes of loss of life and property damage, the long-term change in the geographic location and environment of tornado activity centers over the last six decades (1954–2018), and its relationship with climate warming in the U.S., is still unknown or not robustly proved scientifically. Utilizing discriminant analysis, we show a statistically significant geographic shift of U.S. tornado activity center (i.e., Tor- nado Alley) under warming conditions, and we identify five major areas of tornado activity in the new Tornado Alley that were not identified previously. By contrasting warm versus cold years, we demonstrate that the shift of relative warm centers is coupled with the shifts in low pressure and tornado activity centers. The warm and moist air carried by low-level flow from the Gulf of Mexico combined with upward motion acts to fuel convection over the tornado activity centers. Em- ploying composite analyses using high resolution reanalysis data, we further demonstrate that high tornado activities in the U.S. -
Dixie Tornadoes : a Spatial Analysis of Tornado Risk in the U.S. South
University of Louisville ThinkIR: The University of Louisville's Institutional Repository Electronic Theses and Dissertations 5-2018 Dixie tornadoes : a spatial analysis of tornado risk in the U.S. south. Joshua L. Sherretz University of Louisville Follow this and additional works at: https://ir.library.louisville.edu/etd Part of the Geographic Information Sciences Commons, and the Physical and Environmental Geography Commons Recommended Citation Sherretz, Joshua L., "Dixie tornadoes : a spatial analysis of tornado risk in the U.S. south." (2018). Electronic Theses and Dissertations. Paper 2948. https://doi.org/10.18297/etd/2948 This Master's Thesis is brought to you for free and open access by ThinkIR: The University of Louisville's Institutional Repository. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of ThinkIR: The University of Louisville's Institutional Repository. This title appears here courtesy of the author, who has retained all other copyrights. For more information, please contact [email protected]. DIXIE TORNADOS: A SPATIAL ANALYSIS OF TORNADO RISK IN THE U.S. SOUTH By Joshua L. Sherretz B.S. University of Louisville, 2012 A Thesis Submitted to the Faculty of the College of Arts and Sciences of the University of Louisville in Partial Fulfillment of the Requirements for the Degree of Master of Science in Applied Geography Department of Geography and Geosciences University of Louisville Louisville, KY May 2018 DIXIE TORNADOS: A SPATIAL ANALYSIS OF TORNADO RISK IN THE U.S. SOUTH By Joshua L. Sherretz B.S. University of Louisville, 2012 A Thesis Approved on April 11, 2018 by the following Thesis Committee: ________________________________________ Thesis Director Dr. -
Climatological Estimates of Local Daily Tornado Probability for the United States
626 WEATHER AND FORECASTING VOLUME 18 Climatological Estimates of Local Daily Tornado Probability for the United States HAROLD E. BROOKS NOAA/National Severe Storms Laboratory, Norman, Oklahoma CHARLES A. DOSWELL III Cooperative Institute for Mesoscale Meteorological Studies, Norman, Oklahoma MICHAEL P. K AY* Cooperative Institute for Mesoscale Meteorological Studies, and NOAA/Storm Prediction Center, Norman, Oklahoma (Manuscript received 5 March 2002, in ®nal form 10 January 2003) ABSTRACT An estimate is made of the probability of an occurrence of a tornado day near any location in the contiguous 48 states for any time during the year. Gaussian smoothers in space and time have been applied to the observed record of tornado days from 1980 to 1999 to produce daily maps and annual cycles at any point on an 80 km 3 80 km grid. Many aspects of this climatological estimate have been identi®ed in previous work, but the method allows one to consider the record in several new ways. The two regions of maximum tornado days in the United States are northeastern Colorado and peninsular Florida, but there is a large region between the Appalachian and Rocky Mountains that has at least 1 day on which a tornado touches down on the grid. The annual cycle of tornado days is of particular interest. The southeastern United States, outside of Florida, faces its maximum threat in April. Farther west and north, the threat is later in the year, with the northern United States and New England facing its maximum threat in July. In addition, the repeatability of the annual cycle is much greater in the plains than farther east. -
Topographic Implications on Tornado Climatology
Oberlin College, Dept. of Geology May 2016 Topographic Implications! for Tornado Climatology Kirk Pearson Geology, Oberlin College Oberlin, OH 44074 [email protected]! ! SUMMARY ! Reports of North America’s infamous tornado A U.S. map is then generated that colors areas alley date back to the mid-17th century, yet its based on tornado likelihood (Figure III). mythic image is somewhat misguided. Based Virtually all areas with high storm density, on large-scale data analysis, the United States including the tornado clusters, are located in lacks a singular “alley” of storms and instead the midwest and Great Plains. This is due to contains a patchwork of high density tornado the regions being disproportionately flat, clusters (Frates 2012). Each of these clusters balanced in moisture levels, and bordered by has a statistically significant outlier in regards two major mountain ranges to the east and to tornado frequency— the most dense of west (Brooks 2004). These conditions these outliers has over one thousand times the generate high cyclostrophic balance— an national average. While these clusters have atmospheric state that gives rise to the vast been previously described, little is known majority of tornadoes (Frye and Mote 2010). about why specific North American locations ! have such incredible tornadic potential. An Plotted on a North American map, the five understanding of these conditions could lead high-density clusters do not share any to better accuracy in storm prediction and obvious geographic similarities. However, increased safety for highly prone regions. tornado frequencies do not correspond ! exclusively to latitude (Mercer et al. 2008) as The following study reports on similarities much as other limiting factors, such as between these clustered regions and describes topography (Weaver 2012) and precipitation a model for regional tornado prediction based (Galaway 1979). -
A Statistical Analysis of Wisconsin Tornado Climatology
A Statistical Analysis of Wisconsin Tornado Climatology Glenn R. Lussky WFO La Crosse, WI January 2003 1. Introduction Tornado climatology in Wisconsin - an interesting topic. It is interesting because tornadoes have played their way into the Wisconsin history books, with such major events as Barnaveld in 1984, Oakfield in 1996, Siren in 2001, and now Ladysmith in 2002. In some years, Wisconsin has dozens of tornadoes across the state, including as many as 44 in 1980 and 37 in 1993. Certainly, Wisconsin has had both major and widespread tornado events, and this violent weather feature is an important part of Wisconsin weather history. Wisconsinites must be prepared to deal with tornadoes each year. The threat of tornadoes on human life have been demonstrated time and again. Understanding the level of threat in any one location is a part of the knowledge base each individual requires to make appropriate decisions regarding personal, family and employee safety. With these thoughts in mind, this paper had a number of objectives. All are designed to provide greater insight into the tornado climatology around the state of Wisconsin. First, the paper will review where Wisconsin fits into the national tornado statistics. It will then break down 158 years of statewide tornado reports to determine which areas appear to be most favorable for tornado occurrence. Finally, some possible rationale for the climatological data will be presented. 2. Tornado Climatology Tornado climatology is not a straightforward subject. As with any climatological analysis, the presence of any biases in the data set are of major concern, as they are not only passed along throughout the analysis, but may eventually cause inaccurate conclusions.