Article a Climatological Perspective on the 2011 Alabama Tornado
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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. -
Withstanding the Winds Resilience Science
Level Two or Three 4-H Science, Engineering and Technology Project Activity Guide Withstanding the Winds Resilience Science Effects of High Wind High-wind events can form slowly offshore or very rapidly over land. In most cases, there is not enough time to protect your home before a storm strikes. This is why construction should be adapted to withstand regional vulnerabilities. High - Wind Events and Hazards Hurricanes Tornadoes Cat. 1: 74-95 mph EF0: 65-85 mph Cat. 2: 96-110 mph EF1: 86-110 mph Cat. 3: 111-129 mph EF2: 111-135 mph Level: Cat. 4: 130-156 mph EF3: 136-165 mph Two or Three Cat. 5: 157 or higher EF4: 166-200 mph EF5: 200 or higher Life skills: Decision making Thunderstorms Wind-Driven Hail Problem solving Responsibility Awareness Goal: Educate young people about wind -resistant construction and mitigation Along with rain and lightning, Hail is a common result of winds produced during tornadoes and/or thunderstorms. Authors: thunderstorms can range from 30 It can range from the size of a Shandy Heil mph to 100 mph. marble to a softball. Damage Identification Hurricane-force winds, tornadoes and hail produce different types of damage to buildings. Read the storm damage clues below and draw a line to the picture that shows the appropriate type of damage. Hurricane High-wind damage can blow off wall siding and shingles, produce wind-borne debris capable of breaking windows and, in some cases, cause structural damage to the walls and roof. Hail Damage includes broken windows and dents or punctures in wall siding and shingles. -
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. -
A Background Investigation of Tornado Activity Across the Southern Cumberland Plateau Terrain System of Northeastern Alabama
DECEMBER 2018 L Y Z A A N D K N U P P 4261 A Background Investigation of Tornado Activity across the Southern Cumberland Plateau Terrain System of Northeastern Alabama ANTHONY W. LYZA AND KEVIN R. KNUPP Department of Atmospheric Science, Severe Weather Institute–Radar and Lightning Laboratories, Downloaded from http://journals.ametsoc.org/mwr/article-pdf/146/12/4261/4367919/mwr-d-18-0300_1.pdf by NOAA Central Library user on 29 July 2020 University of Alabama in Huntsville, Huntsville, Alabama (Manuscript received 23 August 2018, in final form 5 October 2018) ABSTRACT The effects of terrain on tornadoes are poorly understood. Efforts to understand terrain effects on tornadoes have been limited in scope, typically examining a small number of cases with limited observa- tions or idealized numerical simulations. This study evaluates an apparent tornado activity maximum across the Sand Mountain and Lookout Mountain plateaus of northeastern Alabama. These plateaus, separated by the narrow Wills Valley, span ;5000 km2 and were impacted by 79 tornadoes from 1992 to 2016. This area represents a relative regional statistical maximum in tornadogenesis, with a particular tendency for tornadogenesis on the northwestern side of Sand Mountain. This exploratory paper investigates storm behavior and possible physical explanations for this density of tornadogenesis events and tornadoes. Long-term surface observation datasets indicate that surface winds tend to be stronger and more backed atop Sand Mountain than over the adjacent Tennessee Valley, potentially indicative of changes in the low-level wind profile supportive to storm rotation. The surface data additionally indicate potentially lower lifting condensation levels over the plateaus versus the adjacent valleys, an attribute previously shown to be favorable for tornadogenesis. -
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 . -
Another Look at the 11 April 1965 Palm Sunday Outbreak
Central Region Technical Attachment Number 15-02 December 2015 Another Look at the 11 April 1965 Palm Sunday Outbreak JON CHAMBERLAIN National Weather Service, Rapid City, South Dakota ABSTRACT The 11 April 1965 tornado outbreak was one of the most devastating tornado outbreaks in recorded history, affecting six Midwestern states with significant loss of life and property. This storm system was particularly interesting for the number of discrete tornadic supercells in the southern Great Lakes, especially given the number of F3+ tornadoes. In addition, many supercells were observed to contain multiple funnels and multiple tornado cyclones (some occurring simultaneously). Dr. Theodore Fujita performed a comprehensive analysis of this event in the late 1960s, featuring a detailed analysis of both the meteorology and tornado damage paths. However, technology and science have progressed much between 1970 and 2015, with new forecast parameters and techniques available to forecasters. The Palm Sunday Outbreak of 1965 was re-examined using modern-day severe weather forecast parameters derived from observational data to help understand why this storm system produced such violent thunderstorms, particularly across extreme northern Indiana. In order to do this, approximately 200 handwritten surface observations were obtained from the National Climatic Data Center’s Electronic Digital Archive Data System web interface. Once these observations were put into a database, several surface weather maps, synthetic soundings, hodographs, and upper-level analyses were constructed. These data, along with archived upper-air data, were used to calculate several severe weather forecast parameters, which truly revealed the magnitude of the event. 1. Introduction The 11 April 1965 tornado outbreak was one of the most devastating tornado outbreaks in recorded history. -
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. -
A Sounding Derived Climatology of Significant Tornado Events in The
P12.14 A SOUNDING-DERIVED CLIMATOLOGY OF SIGNIFICANT TORNADO EVENTS IN THE GREENVILLE-SPARTANBURG, SOUTH CAROLINA COUNTY WARNING AREA (1948-2006) Justin D. Lane* NOAA/National Weather Service Greer, South Carolina 1. Introduction Based on these results, a region-specific climatology would be beneficial to Numerous climatological studies of forecasters in the southeast United States in soundings and sounding-derived parameters order to identify environments that may be associated with supercells and significant conducive to ST development. This study tornadoes (ST), defined as those rated F2 to will present a climatology of soundings and F5 on the Fujita Scale, exist in the sounding parameters associated with ST in meteorological literature (e.g., Rasmussen the Greenville-Spartanburg, SC (GSP) and Blanchard 1998; Rasmussen 2003; County Warning Area (CWA). Thompson et al. 2003). However, most of these studies have focused on events Section 2 contains the methodology and an occurring in the central portion of the United explanation of the various data sources States. The results of these studies used to create this climatology. Section 3 generally agree that supercell thunderstorms presents several composites of reanalysis and tornadoes typically require moderate to soundings associated with ST occurrence. large levels of instability and high values of Section 4 details the results of a statistical wind shear. However, experienced analysis of various parameters yielded by forecasters in the eastern United States can soundings that were constructed from attest to the fact that this combination is reanalysis data. The paper concludes with a extremely rare. This implies that supercells, discussion of the results in section 5. -
Severe Weather Preparedness by Katie Moore & Alex Lamers
READ ABOUT HOW YOU CAN BECOME PREPARED FOR ISSUE 10 Spring 2015 SEVERE WEATHER………..1 EMPLOYEE SPOTLIGHT: MEET JOURNEYMAN FORE- CASTER, ALEX LAMERS ... 2 CLIMATE RECAP FOR WINTER AND OUTLOOK FOR SPRING ........................ 4 Tallahassee NEWS AND NOTES FROM YOUR LOCAL NATIONAL WEATHER SERVICE OFFICE . topics The National Weather Service (NWS) office in Tallahassee, FL provides weather, hydrologic, and climate forecasts and warnings for Southeast Ala- bama, Southwest & South Central Georgia, the Florida Panhandle and Big Bend, and the adjacent Gulf of Mexico coastal waters. Our primary mission is Severe Weather Preparedness By Katie Moore & Alex Lamers Although the tornadoes in “Dixie Alley” tend to have lower maximum During a Tornado wind speeds than those in the Plains, they can be even deadlier. Many tor- nadoes that impact our area are rain-wrapped and often occur at night, ob- Get in - get into a sturdy build- scuring people’s ability to see them coming. We also have more terrain and ing and put as many walls be- denser tree coverage than out in the Plains, which also makes them more tween you and the outside as difficult to see coming. Furthermore, more people live in mobile homes in possible Dixie Alley than in the Plains and most people in the south do not have basements or access to underground shelter. Get down - get as low in the building as possible- the base- The best time to create a severe weather safety plan is before weather ment or the lowest floor strikes. Here are some tips for what to do before, during, and after a torna- do. -
U.S. Violent Tornadoes Relative to the Position of the 850-Mb
U.S. VIOLENT TORNADOES RELATIVE TO THE POSITION OF THE 850 MB JET Chris Broyles1, Corey K. Potvin 2, Casey Crosbie3, Robert M. Rabin4, Patrick Skinner5 1 NOAA/NWS/NCEP/Storm Prediction Center, Norman, Oklahoma 2 Cooperative Institute for Mesoscale Meteorological Studies, and School of Meteorology, University of Oklahoma, and NOAA/OAR National Severe Storms Laboratory, Norman, Oklahoma 3 NOAA/NWS/CWSU, Indianapolis, Indiana 4 National Severe Storms Laboratory, Norman, Oklahoma 5 Cooperative Institute for Mesoscale Meteorological Studies, and NOAA/OAR National Severe Storms Laboratory, Norman, Oklahoma Abstract The Violent Tornado Webpage from the Storm Prediction Center has been used to obtain data for 182 events (404 violent tornadoes) in which an F4-F5 or EF4-EF5 tornado occurred in the United States from 1950 to 2014. The position of each violent tornado was recorded on a gridded plot compared to the 850 mb jet center within 90 minutes of the violent tornado. The position of each 850 mb jet was determined using the North American Regional Reanalysis (NARR) from 1979 to 2014 and NCEP/NCAR Reanalysis from 1950 to 1978. Plots are shown of the position of each violent tornado relative to the center of the 850 mb low-level jet. The United States was divided into four parts and the plots are available for the southern Plains, northern Plains, northeastern U.S. and southeastern U.S with a division between east and west at the Mississippi River. Great Plains violent tornadoes clustered around a center about 130 statute miles to the left and slightly ahead of the low-level jet center while eastern U.S. -
1974 Tornado Super Outbreak Report
Analysis and Reconstruction of the 1974 Tornado Super Outbreak RMS Special Report TM Risk Management Solutions I NTRODUCTION The Super Outbreak of tornadoes that occurred on April 3-4, 1974 was the most intense and widespread tornado outbreak in recorded history. In total, 148 tornadoes spanned 13 states producing about 900 square miles (2331 square km) of tornado damage in less than 18 hours. This report reviews the event’s meteorological and damage characteristics, describes the impact subsequent research had on tornado risk models, and examines the property losses possible if the outbreak were to occur today. 1 1974 Super Tornado Outbreak Copyright 2004 Risk Management Solutions, Inc. All Rights Reserved. April 2, 2004 M ETEOROLOGICAL C HARACTERISTICS Looking back, the atmospheric characteristics preceding the super outbreak provided clear evidence of the high potential for widespread tornado development. On the evening of April 2, 1974 a deep area of low pressure (983 millibars) over the Colorado-Kansas border created strong winds blowing from the south over the lower Mississippi River Valley. This forced high-humidity air northward from the Gulf of Mexico to the lower Midwest and Ohio Valley states. This moist layer of air was “capped” by warm, dry air, which limited thunderstorm development and created highly unstable atmospheric conditions. Recognizing this, the National Oceanic and Atmospheric Administration (NOAA) issued preliminary severe weather alerts on the morning of April 2 for much of the central and southern plains states. During the morning of April 3, the center of low pressure moved northeastward to the Iowa- Illinois border. As the air warmed up during the day and winds converged near the ground, an explosive and sudden outbreak of thunderstorms developed around 2:00 pm Central Daylight Time (CDT).