Multiscale Overview of a Violent Tornado Outbreak with Attendant Flash Flooding
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Developing a Tornado Emergency Plan for Schools in Michigan
A GUIDE TO DEVELOPING A TORNADO EMERGENCY PLAN FOR SCHOOLS Also includes information for Instruction of Tornado Safety The Michigan Committee for Severe Weather Awareness March 1999 1 TABLE OF CONTENTS: A GUIDE TO DEVELOPING A TORNADO EMERGENCY PLAN FOR SCHOOLS IN MICHIGAN I. INTRODUCTION. A. Purpose of Guide. B. Who will Develop Your Plan? II. Understanding the Danger: Why an Emergency Plan is Needed. A. Tornadoes. B. Conclusions. III. Designing Your Plan. A. How to Receive Emergency Weather Information B. How will the School Administration Alert Teachers and Students to Take Action? C. Tornado and High Wind Safety Zones in Your School. D. When to Activate Your Plan and When it is Safe to Return to Normal Activities. E. When to Hold Departure of School Buses. F. School Bus Actions. G. Safety during Athletic Events H. Need for Periodic Drills and Tornado Safety Instruction. IV. Tornado Spotting. A. Some Basic Tornado Spotting Techniques. APPENDICES - Reference Materials. A. National Weather Service Products (What to listen for). B. Glossary of Weather Terms. C. General Tornado Safety. D. NWS Contacts and NOAA Weather Radio Coverage and Frequencies. E. State Emergency Management Contact for Michigan F. The Michigan Committee for Severe Weather Awareness Members G. Tornado Safety Checklist. H. Acknowledgments 2 I. INTRODUCTION A. Purpose of guide The purpose of this guide is to help school administrators and teachers design a tornado emergency plan for their school. While not every possible situation is covered by the guide, it will provide enough information to serve as a starting point and a general outline of actions to take. -
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). -
Polarimetric Radar Characteristics of Tornadogenesis Failure in Supercell Thunderstorms
atmosphere Article Polarimetric Radar Characteristics of Tornadogenesis Failure in Supercell Thunderstorms Matthew Van Den Broeke Department of Earth and Atmospheric Sciences, University of Nebraska-Lincoln, Lincoln, NE 68588, USA; [email protected] Abstract: Many nontornadic supercell storms have times when they appear to be moving toward tornadogenesis, including the development of a strong low-level vortex, but never end up producing a tornado. These tornadogenesis failure (TGF) episodes can be a substantial challenge to operational meteorologists. In this study, a sample of 32 pre-tornadic and 36 pre-TGF supercells is examined in the 30 min pre-tornadogenesis or pre-TGF period to explore the feasibility of using polarimetric radar metrics to highlight storms with larger tornadogenesis potential in the near-term. Overall the results indicate few strong distinguishers of pre-tornadic storms. Differential reflectivity (ZDR) arc size and intensity were the most promising metrics examined, with ZDR arc size potentially exhibiting large enough differences between the two storm subsets to be operationally useful. Change in the radar metrics leading up to tornadogenesis or TGF did not exhibit large differences, though most findings were consistent with hypotheses based on prior findings in the literature. Keywords: supercell; nowcasting; tornadogenesis failure; polarimetric radar Citation: Van Den Broeke, M. 1. Introduction Polarimetric Radar Characteristics of Supercell thunderstorms produce most strong tornadoes in North America, moti- Tornadogenesis Failure in Supercell vating study of their radar signatures for the benefit of the operational and research Thunderstorms. Atmosphere 2021, 12, communities. Since the polarimetric upgrade to the national radar network of the United 581. https://doi.org/ States (2011–2013), polarimetric radar signatures of these storms have become well-known, 10.3390/atmos12050581 e.g., [1–5], and many others. -
PRC.15.1.1 a Publication of AXA XL Risk Consulting
Property Risk Consulting Guidelines PRC.15.1.1 A Publication of AXA XL Risk Consulting WINDSTORMS INTRODUCTION A variety of windstorms occur throughout the world on a frequent basis. Although most winds are related to exchanges of energy (heat) between different air masses, there are a number of weather mechanisms that are involved in wind generation. These depend on latitude, altitude, topography and other factors. The different mechanisms produce windstorms with various characteristics. Some affect wide geographical areas, while others are local in nature. Some storms produce cooling effects, whereas others rapidly increase the ambient temperatures in affected areas. Tropical cyclones born over the oceans, tornadoes in the mid-west and the Santa Ana winds of Southern California are examples of widely different windstorms. The following is a short description of some of the more prevalent wind phenomena. A glossary of terms associated with windstorms is provided in PRC.15.1.1.A. The Beaufort Wind Scale, the Saffir/Simpson Hurricane Scale, the Australian Bureau of Meteorology Cyclone Severity Scale and the Fugita Tornado Scale are also provided in PRC.15.1.1.A. Types Of Windstorms Local Windstorms A variety of wind conditions are brought about by local factors, some of which can generate relatively high wind conditions. While they do not have the extreme high winds of tropical cyclones and tornadoes, they can cause considerable property damage. Many of these local conditions tend to be seasonal. Cold weather storms along the East coast are known as Nor’easters or Northeasters. While their winds are usually less than hurricane velocity, they may create as much or more damage. -
Electrical Role for Severe Storm Tornadogenesis (And Modification) R.W
y & W log ea to th a e m r li F C o r Armstrong and Glenn, J Climatol Weather Forecasting 2015, 3:3 f e o c l a a s n t r i http://dx.doi.org/10.4172/2332-2594.1000139 n u g o J Climatology & Weather Forecasting ISSN: 2332-2594 ReviewResearch Article Article OpenOpen Access Access Electrical Role for Severe Storm Tornadogenesis (and Modification) R.W. Armstrong1* and J.G. Glenn2 1Department of Mechanical Engineering, University of Maryland, College Park, MD, USA 2Munitions Directorate, Eglin Air Force Base, FL, USA Abstract Damage from severe storms, particularly those involving significant lightning is increasing in the US. and abroad; and, increasingly, focus is on an electrical role for lightning in intra-cloud (IC) tornadogenesis. In the present report, emphasis is given to severe storm observations and especially to model descriptions relating to the subject. Keywords: Tornadogenesis; Severe storms; Electrification; in weather science was submitted in response to solicitation from the Lightning; Cloud seeding National Science Board [16], and a note was published on the need for cooperation between weather modification practitioners and academic Introduction researchers dedicated to ameliorating the consequences of severe weather storms [17]. Need was expressed for interdisciplinary research Benjamin Franklin would be understandably disappointed. Here on the topic relating to that recently touted for research in the broader we are, more than 260 years after first demonstration in Marly-la-Ville, field of meteorological sciences [18]. -
Delayed Tornadogenesis Within New York State Severe Storms Article
Wunsch, M. S. and M. M. French, 2020: Delayed tornadogenesis within New York State severe storms. J. Operational Meteor., 8 (6), 79-92, doi: https://doi.org/10.15191/nwajom.2020.0806. Article Delayed Tornadogenesis Within New York State Severe Storms MATTHEW S. WUNSCH NOAA/National Weather Service, Upton, NY, and School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY MICHAEL M. FRENCH School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY (Manuscript received 11 June 2019; review completed 21 October 2019) ABSTRACT Past observational research into tornadoes in the northeast United States (NEUS) has focused on integrated case studies of storm evolution or common supportive environmental conditions. A repeated theme in the former studies is the influence that the Hudson and Mohawk Valleys in New York State (NYS) may have on conditions supportive of tornado formation. Recent work regarding the latter has provided evidence that environments in these locations may indeed be more supportive of tornadoes than elsewhere in the NEUS. In this study, Weather Surveillance Radar–1988 Doppler data from 2008 to 2017 are used to investigate severe storm life cycles in NYS. Observed tornadic and non-tornadic severe cases were analyzed and compared to determine spatial and temporal differences in convective initiation (CI) points and severe event occurrence objectively within the storm paths. We find additional observational evidence supporting the hypothesis the Mohawk and Hudson Valley regions in NYS favor the occurrence of tornadogenesis: the substantially longer time it takes for storms that initiate in western NYS and Pennsylvania to become tornadic compared to storms that initiate in either central or eastern NYS. -
George C. Mdrrhall Space Flight Center Marshall Space F/@T Center, Alabdrnd
NASA TECHNICAL MEMORANDUM (NASA-TU-78262) A PRELI8INABY LOOK AT N80- 18636 AVE-SESAHE 1 CONDUCTED 0U 10-11 APRIL 1979 (8lASA) 52 p HC AO4/HP A01 CSCL 040 Unclas G3/47 47335 A PRELIMINARY LOOK AT AVE-SESAME I CONDUCTED ON APRIL 10-1 1, 1979 By Steven F. Williams, James R. Scoggins, Nicholas Horvath, and Kelly Hill February 1980 NASA George C. Mdrrhall Space Flight Center Marshall Space F/@t Center, Alabdrnd MBFC - Form 3190 (Rev June 1971) ,. .. .. .. , . YAFrl," I?? CONTENTS Page LIST OF FIGURES ........................... iv LIST OF TABLES ............................ vii 1. OBJECTIVES AND SCOPE ...................... 1 2. DATA COLLECTGD ......................... 1 a. Rawinsonde Soundinps.... .................... 1 b. Surface a* Upper -Air -..+ .................... 4 3. SMOPTIC CONDITIONS ....................... 4 a. Synoptic Charts ....................... 4 b. Radar.. .......................... 5 c. Satellite.. ........................ 5 4. SEVERE AND UNUSUAL WkXPIk h. REPORTED ............... 37 PRriCICDINQ PAGE BUNK NOT FKMED iii - .%; . ,,. r* , . * *. '' ,..'~ LIST OE' FIGURES Figure Page Location of rawinsonde stations participating in the AVE-SESAME I experiment ................. 3 Synoptic charts for 1200 GMT. 10 April 1979 ....... 6 Surface chart for 1800 GMT. 10 April 1979 ........ 9 Synoptic charts for 0000 GMT. 11 April 1979 ....... 10 Surface chart for 0600 GMT. 11 April 1979 ........ 13 Synoptic charts for 1200 GMT. 11 April 1979 ....... 14 Radar sunmxy for 1435 GMT. 10 April 1979 ........ 17 Radar summary for 1935 GMT. 10 ~pril1979 ........ 17 Radar summary for 2235 GMT. 10 April1979 ........ 18 Radar sumnary for 0135 GMT. 11 ~pril1979 ........ 18 Radar summary for 0235 GMT. 11 ~pril1979 ........ 19 Radar sununary for 0435 GMT. 11 April 1979 ........ 19 Radar summary for 0535 GMT. 11 April 1979 ....... -
ESSENTIALS of METEOROLOGY (7Th Ed.) GLOSSARY
ESSENTIALS OF METEOROLOGY (7th ed.) GLOSSARY Chapter 1 Aerosols Tiny suspended solid particles (dust, smoke, etc.) or liquid droplets that enter the atmosphere from either natural or human (anthropogenic) sources, such as the burning of fossil fuels. Sulfur-containing fossil fuels, such as coal, produce sulfate aerosols. Air density The ratio of the mass of a substance to the volume occupied by it. Air density is usually expressed as g/cm3 or kg/m3. Also See Density. Air pressure The pressure exerted by the mass of air above a given point, usually expressed in millibars (mb), inches of (atmospheric mercury (Hg) or in hectopascals (hPa). pressure) Atmosphere The envelope of gases that surround a planet and are held to it by the planet's gravitational attraction. The earth's atmosphere is mainly nitrogen and oxygen. Carbon dioxide (CO2) A colorless, odorless gas whose concentration is about 0.039 percent (390 ppm) in a volume of air near sea level. It is a selective absorber of infrared radiation and, consequently, it is important in the earth's atmospheric greenhouse effect. Solid CO2 is called dry ice. Climate The accumulation of daily and seasonal weather events over a long period of time. Front The transition zone between two distinct air masses. Hurricane A tropical cyclone having winds in excess of 64 knots (74 mi/hr). Ionosphere An electrified region of the upper atmosphere where fairly large concentrations of ions and free electrons exist. Lapse rate The rate at which an atmospheric variable (usually temperature) decreases with height. (See Environmental lapse rate.) Mesosphere The atmospheric layer between the stratosphere and the thermosphere. -
Analysis of Tornadogenesis Failure Using Rapid-Scan Data from the Atmospheric Imaging Radar
Analysis of Tornadogenesis Failure Using Rapid-Scan Data from the Atmospheric Imaging Radar KYLE D. PITTMAN∗ Department of Geographic and Atmospheric Sciences, Northern Illinois University DeKalb, Illinois ANDREW MAHRE School of Meteorology, and Advanced Radar Research Center, University of Oklahoma Norman, Oklahoma DAVID J. BODINE,CASEY B. GRIFFIN, AND JIM KURDZO Advanced Radar Research Center, University of Oklahoma Norman, Oklahoma VICTOR GENSINI Department of Geographic and Atmospheric Sciences, Northern Illinois University DeKalb, Illinois ABSTRACT Tornadogenesis in supercell thunderstorms has been a heavily studied topic by the atmospheric science community for several decades. However, the reasons why some supercells produce tornadoes, while others in similar environments and with similar characteristics do not, remains poorly understood. For this study, tornadogenesis failure is defined as a supercell appearing capable of tornado production, both visually and by meeting a vertically contiguous differential velocity (DV) threshold, without producing a sustained tor- nado. Data from a supercell that appeared capable of tornadogenesis, but which failed to produce a sustained tornado, was collected by the Atmospheric Imaging Radar (the AIR, a high temporal resolution radar) near Denver, CO on 21 May 2014. These data were examined to explore the mechanisms of tornadogenesis fail- ure within supercell thunderstorms. Analysis was performed on the rear-flank downdraft (RFD) region and mesocyclone, as previous work highlights the importance of these supercell features in tornadogenesis. The results indicate a lack of vertical continuity in rotation between the lowest level of data analyzed (100 m AGL), and heights aloft (> 500 m AGL). A relative maximum in low-level DV occurred at approximately 100 m AGL (0.5◦ in elevation on the radar) around the time of suspected tornadogenesis failure. -
Tornadogenesis in a Simulated Mesovortex Within a Mesoscale Convective System
3372 JOURNAL OF THE ATMOSPHERIC SCIENCES VOLUME 69 Tornadogenesis in a Simulated Mesovortex within a Mesoscale Convective System ALEXANDER D. SCHENKMAN,MING XUE, AND ALAN SHAPIRO Center for Analysis and Prediction of Storms, and School of Meteorology, University of Oklahoma, Norman, Oklahoma (Manuscript received 3 February 2012, in final form 23 April 2012) ABSTRACT The Advanced Regional Prediction System (ARPS) is used to simulate a tornadic mesovortex with the aim of understanding the associated tornadogenesis processes. The mesovortex was one of two tornadic meso- vortices spawned by a mesoscale convective system (MCS) that traversed southwestern and central Okla- homa on 8–9 May 2007. The simulation used 100-m horizontal grid spacing, and is nested within two outer grids with 400-m and 2-km grid spacing, respectively. Both outer grids assimilate radar, upper-air, and surface observations via 5-min three-dimensional variational data assimilation (3DVAR) cycles. The 100-m grid is initialized from a 40-min forecast on the 400-m grid. Results from the 100-m simulation provide a detailed picture of the development of a mesovortex that produces a submesovortex-scale tornado-like vortex (TLV). Closer examination of the genesis of the TLV suggests that a strong low-level updraft is critical in converging and amplifying vertical vorticity associated with the mesovortex. Vertical cross sections and backward trajectory analyses from this low-level updraft reveal that the updraft is the upward branch of a strong rotor that forms just northwest of the simulated TLV. The horizontal vorticity in this rotor originates in the near-surface inflow and is caused by surface friction. -
Table of Contents
The Nineties in America Table of Contents A Abortion Academy Awards Advertising Africa and the United States African Americans Agassi, Andre Agriculture in Canada Agriculture in the United States AIDS epidemic Air pollution Airline industry Albee, Edward Albert, Marv Albright, Madeleine Allen, Woody Ally McBeal Alternative rock Alvarez, Julia Alzheimer's disease Amazon.com America Online Americans with Disabilities Act of 1990 AmeriCorps Angelou, Maya Angels in America Antidepressants Apple Computer Archaeology Archer Daniels Midland scandal Architecture Armey, Dick Armstrong, Lance Arnett, Peter Art movements Asian Americans Astronomy Attention-deficit disorder Audiobooks Autism Auto racing Automobile industry B Bailey, Donovan Baker, James Baker v. Vermont Balanced Budget Act of 1997 Ballet Bank mergers Barkley, Charles Barry, Dave Barry, Marion Baseball Baseball realignment Baseball strike of 1994 Basic Instinct Basketball Baywatch Beanie Babies Beauty and the Beast Beauty Myth, The Beavis and Butt-Head Bernadin, Joseph Cardinal Beverly Hills, 90210 Bezos, Jeff Biosphere 2 Blair, Bonnie Blair Witch Project, The Blended families Bloc Québécois Blogs Bobbitt mutilation case Bondar, Roberta Bono, Sonny Book clubs Bosnia conflict Bowl Championship Series (BCS) Boxing Boy bands Broadway musicals Brooks, Garth Brown, Ron Browning, Kurt Buchanan, Pat Buffett, Warren Burning Man festivals Bush, George H. W. Business and the economy in Canada Business and the economy in the United States Byrd murder case C Cable television Cammermeyer, Margarethe -
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.