A Statistical Analysis of Wisconsin Tornado Climatology
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Moore, Oklahoma—Growth Cushions Tornado Impact
Cover Story Moore, Oklahoma—Growth COVER STORY Cushions Tornado Impact By Sandra Patterson photo courtesy City of Moore Economic Development Department oore, Oklahoma, is a city on the fast track of growth. Straddling I-35 and just 10 miles from Mdowntown Oklahoma City and 8 miles from Norman, home of the University of Oklahoma, Moore is a bedroom community experiencing an unprecedented surge in new home construction and an accompanying growth in retail development. According to Moore’s Economic Development Author- ity, more than 826 new home permits were issued in 2005 and commercial construction was valued at more than $16 million. The commission reports that the town’s assessed valuation has increased an average of 10 percent per year since 2001 to over $200 million in 2005. With a population of 18,781 in 1970, the city had grown to 41,138 by the 2000 census. It is expected to top 49,000 in 2006. Moore is also located in that part of the country known as Tornado Alley. And, of all the tornado-prone areas that comprise Tornado Alley, Moore is situated in one of Figure 1. Path of 1998 tornado (Map from National Weather Service the two that experiences the highest tornado count per Web site) square mile. Six Years, Three Tornadoes Since 1998, three tornadoes have torn through Moore. On October 4, 1998, a tornado struck the southwest side of the city (figure 1). With only F1 strength (see page 9 sidebar on the Fujita Scale), the damage was limited to ripped up vegetation, downed property fences, and torn roof shingles. -
A Climatology and Comparison of Parameters for Significant Tornado
106 WEATHER AND FORECASTING VOLUME 27 A Climatology and Comparison of Parameters for Significant Tornado Events in the United States JEREMY S. GRAMS AND RICHARD L. THOMPSON NOAA/NWS/Storm Prediction Center, Norman, Oklahoma DARREN V. SNIVELY Department of Geography, Ohio University, Athens, Ohio JAYSON A. PRENTICE Department of Geological and Atmospheric Sciences, Iowa State University, Ames, Iowa GINA M. HODGES AND LARISSA J. REAMES School of Meteorology, University of Oklahoma, Norman, Oklahoma (Manuscript received 18 January 2011, in final form 30 August 2011) ABSTRACT A sample of 448 significant tornado events was collected, representing a population of 1072 individual tornadoes across the contiguous United States from 2000 to 2008. Classification of convective mode was assessed from radar mosaics for each event with the majority classified as discrete cells compared to quasi- linear convective systems and clusters. These events were further stratified by season and region and com- pared with a null-tornado database of 911 significant hail and wind events that occurred without nearby tornadoes. These comparisons involved 1) environmental variables that have been used through the past 25– 50 yr as part of the approach to tornado forecasting, 2) recent sounding-based parameter evaluations, and 3) convective mode. The results show that composite and kinematic parameters (whether at standard pressure levels or sounding derived), along with convective mode, provide greater discrimination than thermodynamic parameters between significant tornado versus either significant hail or wind events that occurred in the absence of nearby tornadoes. 1. Introduction severe thunderstorms and tornadoes (e.g., Bluestein 1999; Davies-Jones et al. 2001; Wilhelmson and Wicker Severe weather forecasting has evolved considerably 2001). -
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. -
Twisters in Two Cities: Stuctural Ritualization
TWISTERS IN TWO CITIES: STUCTURAL RITUALIZATION THEORY AND DISASTERS By KEVIN M. JOHNSON Bachelor of Arts in Psychology Northeastern State University Tahlequah, Oklahoma 2011 Master of Science in Sociology Oklahoma State University Stillwater, Oklahoma 2013 Submitted to the Faculty of the Graduate College of the Oklahoma State University in partial fulfillment of the requirements for the Degree of DOCTOR OF PHILOSOPHY May, 2019 TWISTERS IN TWO CITIES: STRUCTURAL RITUALIZATION THEORY AND DISASTERS Dissertation Approved: Dr. Duane A. Gill Dissertation Adviser Dr. J. David Knottnerus Dr. Monica Whitham Dr. Alex Greer ii ACKNOWLEDGEMENTS I would first like to thank my committee members – Dr. Duane Gill, Dr. J. David Knottnerus, Dr. Monica Whitham, and Dr. Alex Greer – for their insight and support throughout the writing of this dissertation. I am particularly grateful for Dr. Gill and Dr. Knottnerus, who have invested tremendous time and energy in mentoring and helping me develop as a sociologist and a thinker. I have had the privilege of working with some of my academic heroes on this project, and feel very fortunate to be able to make that claim. I would also like to thank my fellow graduate colleagues, Dr. Dakota Raynes, Christine Thomas, and many others, who were always willing to discuss various issues related to this research and countless other topics when needed. Your contributions to this work extend beyond the words on the page – thank you! Finally, I would like to acknowledge my family for their unwavering support and confidence in me throughout this process. Kasey, Gabriel, Ewok, and Leia: you have been my foundation, particularly in the toughest times, and I hope you all feel the joy of this accomplishment because it could not have happened without you. -
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. -
Illinois Tornadoes Prior to 1916
Transactions of the Illinois State Academy of Science (1993), Volume 86, 1 and 2, pp. 1 - 10 Illinois Tornadoes Prior to 1916 Wayne M. Wendland Illinois State Water Survey Champaign IL Herbert Hoffman National Weather Service Romeoville IL ABSTRACT An effort to chronicle Illinois tornadoes occurring prior to 1916 is summarized. From the more than 440 total Illinois tornado occurrences identified in the literature from that period, the list was culled to 325 individual events. Annual and mean monthly frequencies are shown and discussed relative to the modern record. The present tornado data set includes location, time, and to a lesser extent, number injured, number killed and damage for each tornado event. Prominent tornadoes from the record are discussed, as data are available. INTRODUCTION The history of tornadoes in Illinois is rather well known since the mid-1950s (e.g., see Wilson & Changnon, 1971; and Wendland & Guinan, 1988). That record is believed to be essentially complete since the U.S. Weather Bureau inaugurated a concerted effort to record all such events at that time. Earlier,tornado accounts may be suspect since a record of such a small scale event is largely dependent on population density, awareness, and maintenance of a continuous record. Although the U.S. Army Signal Corps and U.S. Weather Bureau accepted tornado information for archival purposes through the years, a complete and continuous record only exists since the mid-1950s. In spite of the incomplete nature of earlier tornado records, useful information of a climatological nature can be gleaned. This paper represents an initial attempt to document the record of Illinois tornadoes prior to 1916. -
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. -
Community Organizations Under Stress: a Study of Interorganizational Communication Networks During Natural Disasters
71-17,967 BROUILLETTE, John Robert, 1935- COMMUNITY ORGANIZATIONS UNDER STRESS: A STUDY OF INTERORGANIZATIONAL COMMUNICATION NETWORKS DURING NATURAL DISASTERS. The Ohio State University, Ph.D., 1970 Sociology, general University Microfilms,A XEROX Company , Ann Arbor. Michigan COMMUNITY ORGANIZATIONS UNDER STRESS: A STUDY OF INTERORGANIZATIONAL COMMUNICATION NETWORKS DURING NATURAL DISASTERS DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By John Robert Brouillette, B.S., M.A. ****** The Ohio State University 1970 Approved by t Adviser* /} Department of SociofogyDepartment Sociology ACKNOWLEDGMENTS The research in this dissertation was supported in part by PHS Grant 5 R01 MH 15399-02 from the Center for Studies of Mental Health and Social Problems, Applied Research Branch, National Insti tute of Mental Health. Many faculty members have been instrumental in assisting me throughout my graduate studies. Foremost among them was my adviser, Dr. Russell R. Dynes, whose untiring guidance, encouragement, and support were always forthcoming when they were needed most. Also I would like to express my sincere appreciation to Dr. E. L. Quar- antelli who, with Dr. Dynes, provided an invaluable graduate training program at the Disaster Research Center which allowed me to apply and advance the sociological knowledge I had been exposed to earlier in formal course work. A special word of thanks belongs to Dr. John F. Cuber who introduced me to The Ohio State University as a teaching assistant under him and who ushered me out when he sat on my final Doctoral oral examination. He has been a significant influence and inspiration to me throughout my graduate program. -
FEMA Tornadoes Fact Sheet
adoes Torn Tornadoes are nature’s most violent storms. They come from powerful thunderstorms. They appear as a funnel- or cone-shaped cloud with winds that can reach up to 300 miles per hour. They cause damage when they touch down on the ground. They can damage an area one mile wide and 50 miles long. Before tornadoes hit, the wind may die down, and the air may become very still. They may also strike quickly, with little or no warning. Am I at risk? Fact Check 1. Where is the safest place in a home? Tornadoes are most common between March and August, but they can occur at any time. They 2. True or False? If you see a funnel cloud, seek can happen anywhere but are shelter immediately. most common in Arkansas, Iowa, 3. Which of the following weather signs mean a Kansas, Louisiana, Minnesota, tornado may be approaching? Nebraska, North Dakota, Ohio, a. A dark or green-colored sky. Oklahoma, South Dakota, and b. A large, dark, low-lying cloud. Texas - an area commonly called c. A rainbow. “Tornado Alley.” They are also d. Large hail. more likely to occur between 3pm e. A loud roar that sounds like a freight train. and 9pm but can occur at any time. All except for C (a rainbow) can be signs for a tornado. a for signs be can rainbow) (a C for except All (3) unpredictable and can move in any direction. any in move can and unpredictable True! Do not watch it or try to outrun it. -
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. -
Hazard Mitigation Plan Lapeer County, MI
+ ddddddddd Hazard Mitigation Plan Lapeer County, MI 2015 This document was prepared by the2013 GLS Region V Planning and Development CommissionThis document was preparedstaff byin the collaboration Lapeer County Office of Emergency with Managementthe Lapeer County Office of Emergencyin collaboration with GLSManagement Region V Planning and. Development Commission staff. TABLE OF CONTENTS I. Introduction A. Introduction ..................................................................................... 1 B. Goals and Objectives ....................................................................... 5 C. Historical Perspective ....................................................................... 5 D. Regional Setting ............................................................................... 8 E. Climate ............................................................................................. 9 F. Population and Housing .................................................................. 11 G. Land Use Characteristics ................................................................. 14 H. Economic Profile.............................................................................. 14 I. Employment................................................................................... 15 J. Community Facilities/Public Safety ................................................. 16 K. Fire Protection and Emergency Dispatch Services .......................... 16 L. Utilities, Sewer, and Water ............................................................