When I Think of Tornadoes, I Think Of…
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
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. -
The Role of Vortex Structure in Tropical Cyclone Motion
:A 9o943-R00fe NAVAL POSTIiRADUATE SCHOOL Monterey, California DISSERTATION THE ROLE OF VORTEX STRUCTURE IN TROPICAL CYCLONE MOTION by Michael Fiorino December 1987 Dissertation Supervisor: R.L. Elsberry Approved for public release; distribution is unlimited T238908 IJJRITY CLASSIFICATION OF THIS PAGE REPORT DOCUMENTATION PAGE 8REP0RT SECURITY CLASSIFICATION lb RESTRICTIVE MARKINGS JNCLASSIFIED aSECURITY CLASSIFICATION AUTHORITY 3. DISTRIBUTION /AVAILABILITY OF REPORT Approved for public release; / : DECLASSIFICATION DOWNGRADING SCHEDULE distribution is unlimited. ERFORMING ORGANIZATION REPORT NUM8ER(S) 5. MONITORING ORGANIZATION REPORT NUMBER(S) INAME OF PERFORMING ORGANIZATION 6b. OFFICE SYMBOL 7a. NAME OF MONITORING ORGANIZATION (If applicable) uval Postgraduate School 63 Naval Postgraduate School l^DORESS {City, State, and ZIP Code) 7b. ADDRESS {City, State, and ZIP Code) /.mterey, California 93943-5000 Monterey, California 93943-5000 iNAME OF FUNDING /SPONSORING 8b. OFFICE SYMBOL 9. PROCUREMENT INSTRUMENT IDENTIFICATION NUMBER ORGANIZATION (If applicable) :.\DORESS (City, State, and ZIP Code) 10. SOURCE OF FUNDING NUMBERS PROGRAM PROJECT TASK WORK UNIT ELEMENT NO. NO. NO ACCESSION NO. TITLE (Include Security Classification) e Role of Vortex Structure in Tropical Cyclone Motion »ERSONAL AUTHOR(S) Fiorino, Michael TYPE OF REPORT 13b. TIME COVERED 14. DATE OF REPORT (Year, Month, Day) IS. PAGE COUNT .D. Dissertation FROM TO 1987 December 371 UPPLEMENTARY NOTATION COSATl CODES 18. SUBJECT TERMS {Continue on reverse if necessary and identify by block number) FIELD GROUP SUB-GROUP Tropical cyclone motion, Barotropic model. Tropical cyclones. Circulation analysis, Beta drift ABSTRACT {Continue on reverse if necessary and Identify by block number) The role of vortex structure in tropical cyclone motion is studied using .moving-grid, nondivergent barotropic model on a beta plane in a no-flow vironment. -
Deliverable D-4.01
WakeNet3-Europe Grant Agreement No.: ACS7-GA-2008-213462 Deliverable D-4.01 Report 1 from Link activities and Trips Prepared by: Elsa FREVILLE (EUROCONTROL) Work Package: .............. 4 Dissemination level: ..... PU Version: ......................... Final Report Issued by: ...................... EUROCONTROL Reference: ..................... v1 Date: .............................. 12th March 2010 Number of pages: ......... 41 Project acronym: .............. WakeNet3-Europe Project full title: ................ European Coordination Action for Aircraft Wake Turbulence Project coordinator: ......... Airbus Operations S.A.S (*) Beneficiaries: A-F Airbus Operations S.A.S (*) TR6 Thales Air Systems THAv Thales Aerospace DLR Deutsches Zentrum für Luft- und Raumfahrt NLR Nationaal Lucht- en Ruimtevaartlaboratorium DFS DFS Deutsche Flugsicherung GmbH ONERA Office National d’Etudes et Recherches Aérospatiale NERL NATS En-Route Plc. UCL Université catholique de Louvain TUB Technische Universität Berlin ECA European Cockpit Association TU-BS Technische Universität Braunschweig A-D Airbus Operations GmbH (*) pending formal change of contract. This document has been produced under EC FP7 project 213462 (WakeNet3-Europe) 12 March 2010 Page 1 of 41 Document Revisions Version Date Modified Modified Comments page(s) section(s) 0.1 5th Feb 2010 Initial draft for review 0.2 22nd Feb 2010 7, 9, 33, 37- 2.1, 3, and Updates from A-D: 44 10 - Minor corrections for sections 2.1 and 3 - Section 10 is replaced by an inserted “pdf” file at the end of section 5.3. -
The Birth and Early Years of the Storm Prediction Center
AUGUST 1999 CORFIDI 507 The Birth and Early Years of the Storm Prediction Center STEPHEN F. C ORFIDI NOAA/NWS/NCEP/Storm Prediction Center, Norman, Oklahoma (Manuscript received 12 August 1998, in ®nal form 15 January 1999) ABSTRACT An overview of the birth and development of the National Weather Service's Storm Prediction Center, formerly known as the National Severe Storms Forecast Center, is presented. While the center's immediate history dates to the middle of the twentieth century, the nation's ®rst centralized severe weather forecast effort actually appeared much earlier with the pioneering work of Army Signal Corps of®cer J. P. Finley in the 1870s. Little progress was made in the understanding or forecasting of severe convective weather after Finley until the nascent aviation industry fostered an interest in meteorology in the 1920s. Despite the increased attention, forecasts for tornadoes remained a rarity until Air Force forecasters E. J. Fawbush and R. C. Miller gained notoriety by correctly forecasting the second tornado to strike Tinker Air Force Base in one week on 25 March 1948. The success of this and later Fawbush and Miller efforts led the Weather Bureau (predecessor to the National Weather Service) to establish its own severe weather unit on a temporary basis in the Weather Bureau± Army±Navy (WBAN) Analysis Center Washington, D.C., in March 1952. The WBAN severe weather unit became a permanent, ®ve-man operation under the direction of K. M. Barnett on 21 May 1952. The group was responsible for the issuance of ``bulletins'' (watches) for tornadoes, high winds, and/or damaging hail; outlooks for severe convective weather were inaugurated in January 1953. -
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. -
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. -
Storms Are Thunderstorms That Produce Tornadoes, Large Hail Or Are Accompanied by High Winds
From February 17 to 19, a severe storm blasted the Lebanese coast with 100- kilometer (60-mile) winds and dropped as much as 2 meters (7 feet) of snow on parts of the country, news sources said. Temperatures dropped to near freezing along the coast, while snowplows struggled to clear the main roadway between Beirut and Damascus. The Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Terra satellite captured this natural-color image on February 20, 2012. Snow covers much of Lebanon, and extends across the border with Syria. Another expanse of snow occurs just north of the Syria-Jordan border. Snow in Lebanon is not uncommon, and the country is home to ski resorts. Still, this fierce storm may have been part of a larger pattern of cold weather in Europe and North Africa. References The Daily Star. (2012, February 18). Lebanon hit by extreme weather conditions. Accessed February 21, 2012. Naharnet. (2012, February 19). Storm subsides after coating Lebanon in snow. Accessed February 21, 2012. NASA image courtesy LANCE/EOSDIS MODIS Rapid Response Team at NASA GSFC. Caption by Michon Scott. Instrument: Terra - MODIS Flooding is the most common of all natural hazards. Each year, more deaths are caused by flooding than any other thunderstorm related hazard. We think this is because people tend to underestimate the force and power of water. Six inches of fast-moving water can knock you off your feet. Water 24 inches deep can carry away most automobiles. Nearly half of all flash flood deaths occur in automobiles as they are swept downstream. -
Massachusetts Tropical Cyclone Profile August 2021
Commonwealth of Massachusetts Tropical Cyclone Profile August 2021 Commonwealth of Massachusetts Tropical Cyclone Profile Description Tropical cyclones, a general term for tropical storms and hurricanes, are low pressure systems that usually form over the tropics. These storms are referred to as “cyclones” due to their rotation. Tropical cyclones are among the most powerful and destructive meteorological systems on earth. Their destructive phenomena include storm surge, high winds, heavy rain, tornadoes, and rip currents. As tropical storms move inland, they can cause severe flooding, downed trees and power lines, and structural damage. Once a tropical cyclone no longer has tropical characteristics, it is then classified as a post-tropical system. The National Hurricane Center (NHC) has classified four stages of tropical cyclones: • Tropical Depression: A tropical cyclone with maximum sustained winds of 38 mph (33 knots) or less. • Tropical Storm: A tropical cyclone with maximum sustained winds of 39 to 73 mph (34 to 63 knots). • Hurricane: A tropical cyclone with maximum sustained winds of 74 mph (64 knots) or higher. • Major Hurricane: A tropical cyclone with maximum sustained winds of 111 mph (96 knots) or higher, corresponding to a Category 3, 4 or 5 on the Saffir-Simpson Hurricane Wind Scale. Primary Hazards Storm Surge and Storm Tide Storm surge is an abnormal rise of water generated by a storm, over and above the predicted astronomical tide. Storm surge and large waves produced by hurricanes pose the greatest threat to life and property along the coast. They also pose a significant risk for drowning. Storm tide is the total water level rise during a storm due to the combination of storm surge and the astronomical tide.