6.1 History of Tornado Research
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Wind Speed-Damage Correlation in Hurricane Katrina
JP 1.36 WIND SPEED-DAMAGE CORRELATION IN HURRICANE KATRINA Timothy P. Marshall* Haag Engineering Co. Dallas, Texas 1. INTRODUCTION According to Knabb et al. (2006), Hurricane Katrina Mehta et al. (1983) and Kareem (1984) utilized the was the costliest hurricane disaster in the United States to concept of wind speed-damage correlation after date. The hurricane caused widespread devastation from Hurricanes Frederic and Alicia, respectively. In essence, Florida to Louisiana to Mississippi making a total of three each building acts like an anemometer that records the landfalls before dissipating over the Ohio River Valley. wind speed. A range of failure wind speeds can be The storm damaged or destroyed many properties, determined by analyzing building damage whereas especially near the coasts. undamaged buildings can provide upper bounds to the Since the hurricane, various agencies have conducted wind speeds. In 2006, WSEC developed a wind speed- building damage assessments to estimate the wind fields damage scale entitled the EF-scale, named after the late that occurred during the storm. The National Oceanic Dr. Ted Fujita. The author served on this committee. and Atmospheric Administration (NOAA, 2005a) Wind speed-damage correlation is useful especially conducted aerial and ground surveys and published a when few ground-based wind speed measurements are wind speed map. Likewise, the Federal Emergency available. Such was the case in Hurricane Katrina when Management Agency (FEMA, 2006) conducted a similar most of the automated stations failed before the eye study and produced another wind speed map. Both reached the coast. However, mobile towers were studies used a combination of wind speed-damage deployed by Texas Tech University (TTU) at Slidell, LA correlation, actual wind measurements, as well as and Bay St. -
Rotating Storms: Supercells, Tornadoes, and Tropical Storms
RotatingRotating Storms:Storms: SupercellsSupercells,, Tornadoes,Tornadoes, andand TropicalTropical StormsStorms AT 351 Lab 12 April 14, 2008 SupercellsSupercells ! Characterized by rotating updrafts (called a mesocyclone) ! Differ from multicell cluster because smaller updrafts merge into a main rotated updraft rather than developing separate and competing cells ! Can persist for 12 hours and travel hundreds of miles ! Forms in environments of strong winds aloft ! Winds veer with height from the surface ! Can be classified as either High Precipitation (HP) or Low Precipitation (LP) SupercellSupercell HPHP SupercellsSupercells •Dark rain and hail core •Prolific producers of lightning and flash floods LPLP SupercellsSupercells ! Typically associated with a dry line ! Typically small and lacking in rainfall TornadoesTornadoes ! Formation ! Life Cycle ! Definition ! Types ! Damage ! EF-scale FormationFormation ! We know relatively little about the formation of tornadoes, known as tornadogenesis ! However, we do know the basic steps along the way ! It is the details we are missing, but they are very crucial details VorticityVorticity ! Vorticity is the name we give to a natural spin in the air ! Caused mainly by wind shear ! Just like a pinwheel Non-SupercellNon-Supercell TornadoTornado FormationFormation ! Vertical wind shear crucial VorticityVorticity TiltingTilting ! After horizontal rotation is established, the storm’s updraft works to tilt it upright ! Now the storm has a vertically rotating component SuctionSuction VorticesVortices -
Ttu Fujita 000088.Pdf (5.624Mb)
An Interpretation of the Probable Cause of Chronic Intolerable Pain at the Base of my Feet Special Report Requested by Dr. Robert F. Abbey, Jr. Associate Director for Integration Ocean, Atmosphere, and Space S&T Department Office of Naval Research and Supported by ONR Grant N00014-91-J1136 and University of Chicago Account 6-31562 June 1997 Delayed Delivery Tetsuya Theodore Fujita, Director Wind Research Laboratory Department of Geophysical Sciences The University of Chicago 5734 S. Ellis Avenue Chicago, Illinois 60637 U. S.A. 1 Preface I have been feeling extremely sorry to the sponsors of my Wind Research Laboratory and to Dean Oxtoby of The Division of Physical Sciences for not achieving my promised research, as originally planned. As you know, I began working on the research being encouraged by the 17 January 1996 letter stating, in effect, that my blood sugar control is wonderful and my diabetes will not influence my health or longevity. The letter was used for my grant negotiation, in support of my health. Unexpectedly and coincidentally, seven months thereafter, on 17 August 1996, I began suffering from the chronic severe pain at the base of my feet, resulting in ambulatory difficulty. Furthermore, neither the cause of pain nor treatment method has been established. Now the intolerable pain is accompanied by my cold feet, feeling like cold blooded Homosapiens. I am, hereby submitting you "An Interpretation of the Probable Cause of the Pain" written to the best of my meteorology-oriented analyses, which could be different from the medical analyses by each doctor. 3 REFERENCES dd .... -
Samantha Santeiu 02-15-09 Sec. 9, Dave Defina Chasing a Storm
Samantha Santeiu 02-15-09 Sec. 9, Dave DeFina Chasing a Storm Specific Purpose Statement : To inform my audience how meteorologists chase storms and about the importance of storm chasing in meteorological research. Central Idea : Storm chasing requires special tools and software; chases follow a general procedure on the chase day; and chasing has great importance in meteorological research. Pattern of Organization : topical. INTRODUCTION It’s September, 1900, in Galveston, Texas. Isaac Cline, a well-known climatologist, rides his horse and buggy along the beach. He’s here to observe the unusually high, gusting winds and huge waves crashing onshore. He orders the people of Galveston to evacuate. [VISUAL AID] Little did he know, he had just chased the massive Galveston hurricane of 1900 that would proceed to kill at least 6,000 people in the area. According to “A Brief History of Storm Chasing” on the National Association of Storm Chasers and Spotters website, this is one of the first accounts of storm chasing that we have. How about this: how many of you have seen the movie Twister ? [VISUAL AID] The basic storyline is that two people are storm chasers, and in the end they chase an epically huge tornado in the name of research. That is a more modern, albeit a bit inaccurate, account of storm chasing. I would like to inform you today about chasing storms, the way meteorologists do it. I plan to research severe storms as a career, so I have investigated the topic thoroughly and interviewed peers and professors on the subject. While storm chasing may seem like fun, there’s actually a lot involved. -
Riding the Storm
physicsworld.com Careers Riding the storm out A career in severe-weather research offers flexibility and plenty of opportunities to experience the fascinating physics of the rotating fluid called the atmosphere. Josh Wurman describes the science of storm-chasing and why hurricanes are scarier than tornadoes Take me to the weather Josh Wurman enjoys the freedom that being a freelance meteorologist affords him. I am standing on a bridge near the North thematical, essentially applied fluid dynam- mapped out the winds inside tornadoes, so Carolina coast. There is a light breeze, and I ics, and the real-world effects of these equa- no-one really knew how strong they were. am enjoying some hazy sunshine. But this tions can be seen every day. The equations After reading the relevant literature, I de- calm is an illusion: in a few minutes winds of of motion for the atmosphere cause trees to cided that a more ambitious technological up to 45 m s–1 (100 mph) will sweep in again. be blown down, hail to fall and snowdrifts and logistical approach could push back the The approaches to my section of the bridge to pile up – all things that I could witness veil of ignorance about these fascinating phe- are already drowned under 2.5 m of water, while growing up in Pennsylvania. nomena. So in 1994 I decided to shift focus, and my companions on this island are an I started out as a physics major at the Mas- leaving NCAR for a faculty position at the eclectic mix of traumatized animals, inclu- sachusetts Institute of Technology (MIT), University of Oklahoma, where I developed ding snakes, rats, wounded pelicans and but my real interest was meteorology, in a prototype mobile weather radar system frogs. -
Storm Spotting – Solidifying the Basics PROFESSOR PAUL SIRVATKA COLLEGE of DUPAGE METEOROLOGY Focus on Anticipating and Spotting
Storm Spotting – Solidifying the Basics PROFESSOR PAUL SIRVATKA COLLEGE OF DUPAGE METEOROLOGY HTTP://WEATHER.COD.EDU Focus on Anticipating and Spotting • What do you look for? • What will you actually see? • Can you identify what is going on with the storm? Is Gilbert married? Hmmmmm….rumor has it….. Its all about the updraft! Not that easy! • Various types of storms and storm structures. • A tornado is a “big sucky • Obscuration of important thing” and underneath the features make spotting updraft is where it forms. difficult. • So find the updraft! • The closer you are to a storm the more difficult it becomes to make these identifications. Conceptual models Reality is much harder. Basic Conceptual Model Sometimes its easy! North Central Illinois, 2-28-17 (Courtesy of Matt Piechota) Other times, not so much. Reality usually is far more complicated than our perfect pictures Rain Free Base Dusty Outflow More like reality SCUD Scattered Cumulus Under Deck Sigh...wall clouds! • Wall clouds help spotters identify where the updraft of a storm is • Wall clouds may or may not be present with tornadic storms • Wall clouds may be seen with any storm with an updraft • Wall clouds may or may not be rotating • Wall clouds may or may not result in tornadoes • Wall clouds should not be reported unless there is strong and easily observable rotation noted • When a clear slot is observed, a well written or transmitted report should say as much Characteristics of a Tornadic Wall Cloud • Surface-based inflow • Rapid vertical motion (scud-sucking) • Persistent • Persistent rotation Clear Slot • The key, however, is the development of a clear slot Prof. -
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. -
Visualization of Tornado Data
Visualization of Tornado Data Anu Joy, Harshal Chheda, James Chy and Yuxing Sun Drexel University ABSTRACT— The aim of this project is to study the nature of tornadoes with the use of information visualization tools. The emphasis of this project is to study the tornadoes that change directions and their effects. For this report we used a subset of published storm data from the National Oceanographic and Atmospheric Administration (NOAA). The data set included many types of storms, but we focused upon just the storm data relating to tornadoes. Both Tableau and IBM Many Eyes were used as the information visualization tools to perform graphical analysis of the data. When visualizing the data, we focused on the BEGIN_AZIMUTH and the END_AZIMUTH parameters in the data, which reflect the change of tornado directions. We found that tornadoes do frequently change direction. Tornadoes that probably went straight seemed to have much less in injuries than ones, which probably changed course. We had difficulties using the visualization tools convey any aggregated information regarding directions in general because the direction was not presented as numeric values in NOAA data. During the preparation of visualizations, we found some skills to change and improve the presentation of data. improved in step with advances in technology, most prominently 1 INTRODUCTION with increasingly more sophisticated radar systems. Numerical simulations continue to improve with increased computer power, 1.1 Brief History of Tornado Research speed, and storage capabilities. Researchers continue to be fascinated by tornadoes and measure 1.2 Brief History of Research into Tornado Path and observe the paths tornadoes follow, the months they are Research occur, and regions in which are tornado prone. -
Ardly a Day Passes in Lubbock, Texas, With- out Strong Winds Racing Across the South Plains. with Gusts of up to 23 Miles Per Ho
BY LARISSA K. TRUE ardly a day passes in Lubbock, Texas, with- out strong winds racing across the South Plains. With gusts of up to 23 miles per hour on an average day, few Lubbockites have grown to appreciate the wind. Many complain, but few understand the phenomenon that has made West Texas unique for decades. In addition to being home to a more-than-typically breezy climate, the city of Lubbock and Texas Tech University’s Southwest Collection/Special Collections Library are the keepers of one of the finest and most sought after compilations of invaluable wind research documentation in the world. On May 20, 2005, the Southwest Collec- tion formally accepted Professor Tetsuya “Ted” Fujita’s meticulous and copious records of every major wind event that occurred from the end of World War II until his death in the late 1990s. 26 • SPRING 2006 vol. 1 No.1 • 27 The image on the previous page shows Fujita’s wind generator laboratory where he studied downbursts. The Southwest ujita’s impressive career began when he taught school in scale was not efficient. The new scale is an enhancement that will Collection/Special Collections Library is home to Ted Fujita’s compilation of Japan during World War II. Following the dropping of make the scale more reliable and consistent.” The EF scale was invaluable wind research, the largest atomic bombs on Hiroshima and Nagasaki in 1945 by developed by the Wind Science and Engineering Research Center such documentation in the world. Scenes below show the aftermath of the Lubbock the United States, the Japanese government dispatched (WISE) researchers along with an assembly of wind engineers, tornado, as well as data of the storm that Fujita to execute a survey and identify whether a weapon universities, private companies, government organizations and hit at 7 p.m. -
STORM DOCTOR a Storm Chasing Physician’S First-Hand Account
JOURNAL OF Civi lDEFENSE VOLUME 45 2012 ISSUE STORM DOCTOR A Storm Chasing Physician’s First-Hand Account CIVIL DEFENSE REDUX - It’s Back Psychology of Survival ANOTHER WAY TO BE PREPARED Social Media Lessons from the Joplin, Missouri Tornado Ways YOU Can Help PROTECTING FUEL SUPPLIES Preserve and Restore Your Fuel Supply NOTHING IS MORE IMPORTANT THAN CLEAN, SAFE, WATER AQUA RAIN Ceramic Water Filtration Systems for Emergencies The AquaRain® Natural Water Filter will pro - vide your family and loved ones with lab - oratory proven safe drinking water without electricity, without plumbing, and without pressure or chemical pre-treatments. Its patented space-age ceram - ic technology positive - ly removes danger - As low As ous living organ - $ .96 isms and harmful 184 bacteria from your drinking water 1-800-425-5397 naturally, using micro-filtration and gravity. Here is what may be the best VISIT OUR STORE AT part. The AquaRain® can produce quali - ty drinking water for less than 2¢ per gallon! www.tacda.org JOURNAL OF Civil DEFENSE BOARD OF DIRECTORS Dr. GarY M. Sandquist (President) Sharon Packer (Secretary, Treasurer) JaY R. WhimpeY William D. Perkins Dr. Gerald LooneY IN TH IS ISSUE Bronius Cikotas Dr. Charles CoX Dr. TammY TaYlor Storm Doctor 3 By Jason Persoff, M.D. ADVISORS . Paul SeYfried Is Your Vehicle Prepared? 10 By D6 Survivor Chuck FenWick Dr. Jane Orient Michael G. BaZinet 5 Reasons Why Beans Should be a Staple Dr. Landon Beales 11 in Your Food Storage Dr. Dane Dickson 6 By Jodie and Julie (www.foodstoragemadeeasy.net) Sid Ogden Jonathan Jones KYlene Jones Civil Defense Redux Dr. -
Storm-Chasers.Pdf
By Jim Aaron Vocabulary apprentice atmosphere chemical club essay manufacturing pressure scales Word count: 1,585 Note: The total word count includes words in the running text and headings only. Numerals and words in chapter titles, captions, labels, diagrams, charts, graphs, sidebars, and extra features are not included. Storm Chasers By Jim Aaron Glenview, Illinois • Boston, Massachusetts • Chandler, Arizona • Upper Saddle River, New Jersey Photographs Every effort has been made to secure permission and provide appropriate credit for photographic material. The publisher deeply regrets any omission and pledges to correct errors called to its attention in subsequent editions. Unless otherwise acknowledged, all photographs are the property of Pearson Education, Inc. Photo locators denoted as follows: Top (T), Center (C), Bottom (B), Left (L), Right (R), Background (Bkgd) Opener ©A.T. Willett/Alamy Images; 1 ZUMA Press, Inc. / Alamy; 4 World Perspectives/ Taxi/Getty Images; 5 (Inset) ZUMA Press, Inc. / Alamy, (Bkgd) Doug Allan/Getty Images; 6 NOAA; 7 (T) David J. Phillip/©AP Images, (B) Marko Georgiev/Getty Images; 8 United States Department of the Interior; 9 NOAA; 10 NOAA; 11 Richard Cooke / Alamy Images; 12 Roger Ressmeyer/Corbis; 13 (Inset) ©Reuters/Corbis, (T) National Hurricane Cente/AFP/Getty Images; 14 (T) NOAA, (B) Wilfredo Lee/©AP Images; 15 Jim Reed/ Corbis; 16 Everett Collection, Inc.; 18 Jim West/Alamy Images; 19 Jupiter Images. ISBN 13: 978-0-328-51648-3 ISBN 10: 0-328-51648-1 Copyright © by Pearson Education, Inc., or its affiliates. All rights reserved. Printed in the United States of America. This publication is protected by copyright, and permission should be obtained from the publisher prior to any prohibited reproduction, storage in a retrieval system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. -
Enhanced Storm Investigation
Enhanced Storm Investigation . National Weather Service Milwaukee/Sullivan, WI www.weather.gov/milwaukee www.facebook.com/US.NationalWeatherService.Milwaukee.gov twitter.com/NWSMKX Storm Chasing NWS“We’re does going not to die, encourage we’re going storm to die” chasing. screaming This heard is aon Oklahoma Highway Patrol radio before they were killed. dangerousTim Samaras and was potentially found strapped fatal in endeavor.the car. Other victims were discovered 1/2 mile east and 1/2 mile west of the car. The following images show what happened to professional chases supported by The Weather Channel and National Geographic Example: May 31, 2013 El Reno, OK Tornado Personal Safety Video This was a weak tornado – what about a strong or violent tornado? Convection Basics • Moisture • Instability • Lift • Wind Shear (for severe storms) “Triggering” Mechanisms • Starts the convection – Low pressure systems/Jet ‘s – Air mass boundaries, Fronts – Sea/Lake Breeze – Thunderstorm ‘outflow boundaries’ – Orographic lift 6 Lake Breeze Kettle Moraine June 30, 2011 Video Four Types of Thunderstorms Weak updraft Moderate Moderate Intense updraft (non-severe updraft (non- updraft (non- (Always severe) or severe) severe severe or severe) or severe) Mesocyclone - National National Service Weather Property and Lives Protecting Rotating updraft Slight threat Moderate Moderate High threat threat threat “Squall Line” Single Cell Storms May produce brief severe weather Multi-Cell Thunderstorms Ordinary, non-organized storms with low severe threat Each cell