Tornado Alley” Documents Two Unprec- Edented Missions Seeking to Encounter One of Earth’S Most Awe-Inspiring Events—The Birth of a Tornado
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Climate Data Sources in Connecticut Patricia A
University of Connecticut OpenCommons@UConn College of Agriculture, Health and Natural Storrs Agricultural Experiment Station Resources 1-1982 Climate Data Sources in Connecticut Patricia A. Palley University of Connecticut - Storrs David R. Miller University of Connecticut - Storrs Follow this and additional works at: https://opencommons.uconn.edu/saes Part of the Climate Commons, Environmental Monitoring Commons, and the Meteorology Commons Recommended Citation Palley, Patricia A. and Miller, David R., "Climate Data Sources in Connecticut" (1982). Storrs Agricultural Experiment Station. 80. https://opencommons.uconn.edu/saes/80 Storrs Agricultural Experiment Station Bulletin 461 Climate Data Sources in Connecticut By Patricia A Palley, Assistant State Climatologist and David R. Miller, Associate Professor of Natural Resources JAN 1982 STORRS AGRICULTURAL EXPERI MENT STATION COLLEGE OF AGRICULTURE AND NATURAL RESOURCES THE UNIVERSITY OF CONNECTICUT, STORRS. CT 06268 TABLE OF CONTENTS Int roduction . 1 Types of Weather Stations 2 Parameters Measur ed 3 Summary of Climate Observations in Connecticu t 5 How to Use the Maps and Site Reports • • • • • 7 Table I Record Lengths, by parameter, of all weather stat ions i n Conn., state summary 8 Table II Record Lengths , by parame ter, of all weather stations in Conn . , by county . 9 Table III Record Lengths, by paramet er, of Nationa l Wea ther Service operat ed and coope rative stations in Conn., by county . • . 10 Table IV Re cord Lengths , by par ameter , of pr ivate data collect ors i n Conn ., by county . • . 11 Figure I Distribution of stations t hat measure rainfall . 12 Figur e II Distribution of stations t hat meas ure s nowf all . -
Handbook for the Meteorological Observation
Handbook for the Meteorological Observation Koninklijk Nederlands Meteorologisch Instituut KNMI September 2000 Contents Chapter 1. Measuring stations – General 1 Introduction 2 Variables 3 Type of observing station 4 Conditions relating to the layout of the measurement site of a weather station 5 Spatial distribution of the measuring stations and the representativeness of the observations 6 Procedures relating to the inspection, maintenance and management of a weather station 6.1 Inspection 6.2 Technical maintenance 6.3 Supervision 1. MEASURING STATIONS - GENERAL 1.1 Introduction The mission statement of the KNMI1 (from their brochure “KNMI, more than just weather” of August 1999) reads: “The KNMI is an agency with approximately five hundred employees that is part of the Ministry of Transport, Public Works and Water Management. From its position as the national knowledge centre for weather, climate and seismology, the institute is targeted entirely at fulfilling public tasks: weather forecasts and warnings monitoring the climate acquisition and supply of meteorological data and infrastructure model development aviation meteorology scientific research public information services” The tasks mentioned above are split across a number of sectors within the KNMI. One of the sectors is WM (Waarnemingen en Modellen = Observations and Models). This particular sector’s mission has been formulated as follows: “The Observations and Models sector (WM) is responsible for making the basic meteorological data available and for provision of climatological information to both internal and external users. The basic meteorological data, both current and historical, contains: - observations made by measurement, visual observation, using remote sensing or acquired from external sources - output from atmospheric and oceanographic models, acquired by processing the sector’s own models of acquired from institutes abroad. -
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. -
The Fujita Scale Is Used to Rate the Intensity of a Tornado by Examining the Damage Caused by the Tornado After It Has Passed Over a Man-Made Structure
The Fujita Scale is used to rate the intensity of a tornado by examining the damage caused by the tornado after it has passed over a man-made structure. The "Percentage of All Tornadoes 1950- 1994" pie chart reveals that the vast majority of tornadoes are either weak or do damage that can only be attributed to a weak tornado. Only a small percentage of tornadoes can be correctly classed as violent. Such a chart became possible only after the acceptance of the Fujita Scale as the official classification system for tornado damage. It is quite possible that an even higher percentage of all tornadoes are weak. Each year the National Weather Service documents about 1000 tornado touchdowns in the United States. There is evidence that 1000 or more additional weak tornadoes may occur each year and go completely undocumented. The "Percentage of Tornado-Related Deaths 1950-1994" pie chart shows that while violent tornadoes are few in number, they cause a very high percentage of tornado-related deaths. The Tornado Project has analyzed data prior to 1950, and found that the percentage of deaths from violent tornadoes was even greater in the past. This is because the death tolls prior to the introduction of the forecasting/awareness programs were enormous: 695 dead(Missouri-Illinois-Indiana, March 18, 1925); 317 dead(Natchez, Mississippi, May 7, 1840);.255 dead(St. Louis, Missouri and East St. Louis, Illinois, May 27, 1896); 216 dead(Tupelo, Mississippi, April 5, 1936); 203 dead(Gainesville, GA, April 6, 1936). In more recent times, no single tornado has killed more than 50 people since 1971. -
Eyes on the Ocean NDBC Buoys Supporting Prediction, Forecast and Warning for Natural Hazards for Oceans in Action Stennis Space Center August 17, 2016
Eyes on the Ocean NDBC Buoys Supporting Prediction, Forecast and Warning for Natural Hazards for Oceans In Action Stennis Space Center August 17, 2016 Helmut H. Portmann Director, National Data Buoy Center National Weather Service August 17, 2016 1 2016 Atlantic Hurricane Season Near to above-normal Atlantic hurricane season is most likely this year 70 percent likelihood of 12 to 17 named storms Hurricane Alex January TS Bonnie May TS Colin June TS Danielle June Hurricane Earl August Fiona Gaston Hermine Ian Julia Karl Lisa Matthew Nicole Otto Paula Richard Shary Tobias Virginie Walter NationalNational Weather Data Buoy Service Center 2 Influence of La Nina Typical influence of La Niña on Pacific and Atlantic seasonal hurricane activity. Map by NOAA Climate.gov, based on originals by Gerry Bell NationalNational Weather Data Buoy Service Center 3 NOAA’s National Data Buoy Center NationalNational Weather Data Buoy Service Center 4 www. ndbc.noaa.gov www. ndbc.noaa.gov NationalNational Weather Data Buoy Service Center NDBC Observing Platforms Tsunami Weather Buoys in Place for > 30 Years Wx TAO 106 met/ocean WX buoys 47 C-MAN stations 55 TAO Climate Monitoring buoys + 4 current profiler moorings 39 DART Tsunami Monitoring stations NationalNational Weather Data BuoyService Center 6 National Data Buoy Center Electronics Labs Facilities at SSC, MS MCC Operates 24/7/365 Sensor Testing & Cal High Bay Fabrication Paint & Sandblasting Wind Tunnel & Environmental Chambers In-Water Testing Machine Shops El Nino - La Nina Detection NDBC maintains an -
What Are We Doing with (Or To) the F-Scale?
5.6 What Are We Doing with (or to) the F-Scale? Daniel McCarthy, Joseph Schaefer and Roger Edwards NOAA/NWS Storm Prediction Center Norman, OK 1. Introduction Dr. T. Theodore Fujita developed the F- Scale, or Fujita Scale, in 1971 to provide a way to compare mesoscale windstorms by estimating the wind speed in hurricanes or tornadoes through an evaluation of the observed damage (Fujita 1971). Fujita grouped wind damage into six categories of increasing devastation (F0 through F5). Then for each damage class, he estimated the wind speed range capable of causing the damage. When deriving the scale, Fujita cunningly bridged the speeds between the Beaufort Scale (Huler 2005) used to estimate wind speeds through hurricane intensity and the Mach scale for near sonic speed winds. Fujita developed the following equation to estimate the wind speed associated with the damage produced by a tornado: Figure 1: Fujita's plot of how the F-Scale V = 14.1(F+2)3/2 connects with the Beaufort Scale and Mach number. From Fujita’s SMRP No. 91, 1971. where V is the speed in miles per hour, and F is the F-category of the damage. This Amazingly, the University of Oklahoma equation led to the graph devised by Fujita Doppler-On-Wheels measured up to 318 in Figure 1. mph flow some tens of meters above the ground in this tornado (Burgess et. al, 2002). Fujita and his staff used this scale to map out and analyze 148 tornadoes in the Super 2. Early Applications Tornado Outbreak of 3-4 April 1974. -
May 20 Virtual Media Briefing on NOAA's 2021 Atlantic Hurricane
TRANSCRIPT NOAA 2021 Hurricane Season Outlook Virtual Media Briefing May 20, 2021 at 12:30 p.m. EDT via GoToMeeting Hosted by NOAA National Weather Service Public Affairs Media advisory about briefing NOAA to announce 2021 Atlantic hurricane season outlook on May 20 Hurricane Outlook news release NOAA predicts another active Atlantic hurricane season 0:22 Good afternoon, everyone. Thank you for joining the announcement of NOAA's 2021, Hurricane Season Outlook. 0:29 This media briefing is being recorded, so if you do not wish to be recorded, please disconnect at this time. 0:34 My name is Lauren, and I'm the media contact for today's Hurricane Outlook. 0:39 At the conclusion of this media briefing, maybe contact e-mail, or by phone, using the contact information included in the media advisory to use to access today's webinar. 0:48 Due to a scheduling conflict, the Secretary of Commerce was unable to join us today, but we are very glad to welcome Deputy Commerce Secretary John Graves in her stead. 0:57 In addition to Deputy secretary grades, I'm joined by Ben Friedman, the App to NOAA Administrator, Matthew Rosencrantz. Now as lead hurricane season forecaster and FEMA administrator as well. 1:09 We'll begin today's briefing with remarks from our speakers and then we'll take questions from reporters. If you'd like to ask a question during the question and answer portion of this briefing, please click the hand icon in the GoToWebinar window next to your name. 1:22 I'll then call upon each quarter. -
ISAIAS (AL092020) 30 July–4 August 2020
NATIONAL HURRICANE CENTER TROPICAL CYCLONE REPORT HURRICANE ISAIAS (AL092020) 30 July–4 August 2020 Andy Latto, Andrew Hagen, and Robbie Berg National Hurricane Center 1 11 June 2021 GOES-16 10.3-µM INFRARED SATELLITE IMAGE OF HURRICANE ISAIAS AT 0310 UTC 04 AUGUST 2020 AS IT MADE LANDFALL NEAR OCEAN ISLE BEACH, NORTH CAROLINA. Isaias was a hurricane that formed in the eastern Caribbean Sea. The storm affected the Leeward Islands, Puerto Rico, Hispaniola, Cuba, the Bahamas, and a large portion of the eastern United States. 1 Original report date 30 March 2021. Second version on 15 April updated Figure 12. This version corrects a wind gust value in the Winds and Pressures section and the track length of a tornado in Delaware. Hurricane Isaias 2 Table of Contents SYNOPTIC HISTORY .......................................................................................... 3 METEOROLOGICAL STATISTICS ...................................................................... 5 Winds and Pressure ........................................................................................... 5 Caribbean Islands and Bahamas ..................................................................... 6 United States ................................................................................................... 6 Rainfall and Flooding ......................................................................................... 7 Storm Surge ....................................................................................................... 8 Tornadoes ....................................................................................................... -
Workshop on Weather Ready Nation: Science Imperatives for Severe Thunderstorm Research, Held 24-26 April, 2012 in Birmingham AL
Workshop on Weather Ready Nation: Science Imperatives for Severe Thunderstorm Research, Held 24-26 April, 2012 in Birmingham AL Sponsored by National Oceanic and Atmospheric Administration and National Science Foundation Final Report Edited by Michael K. Lindell, Texas A&M University and Harold Brooks, National Severe Storms Laboratory Hazard Reduction & Recovery Center Texas A&M University College station TX 77843-3137 17 September 2012 Executive Summary The National Oceanic and Atmospheric Administration (NOAA) and the National Science Foundation (NSF) workshop sponsored a workshop entitled Weather Ready Nation: Science Imperatives for Severe Thunderstorm Research on 24-26 April, 2012 in Birmingham Alabama. Prior to the workshop, teams of authors completed eight white papers, which were read by workshop participants before arriving at the conference venue. The workshop’s 63 participants—representing the disciplines of civil engineering, communication, economics, emergency management, geography, meteorology, psychology, public health, public policy, sociology, and urban planning—participated in three sets of discussion groups. In the first set of discussion groups, participants were assigned to groups by discipline and asked to identify any research issues related to tornado hazard response that had been overlooked by the 2011 Norman Workshop report (UCAR, 2012) or the white papers (see Appendix A). In the second set of discussion groups, participants were distributed among interdisciplinary groups and asked to revisit the questions addressed in the disciplinary groups, identify any interdependencies across disciplines, and recommend criteria for evaluating prospective projects. In the third set of discussion groups, participants returned to their initial disciplinary groups and were asked to identify and describe at least three specific research projects within the research areas defined by their white paper(s) and to assess these research projects in terms of the evaluation criteria identified in the interdisciplinary groups. -
Multiple-Platform and Multiple-Doppler Radar Observations of a Supercell Thunderstorm in South America During RELAMPAGO
AUGUST 2020 T R A P P E T A L . 3225 Multiple-Platform and Multiple-Doppler Radar Observations of a Supercell Thunderstorm in South America during RELAMPAGO a b c d ROBERT J. TRAPP, KAREN A. KOSIBA, JAMES N. MARQUIS, MATTHEW R. KUMJIAN, a b e a STEPHEN W. NESBITT, JOSHUA WURMAN, PAOLA SALIO, MAXWELL A. GROVER, Downloaded from http://journals.ametsoc.org/mwr/article-pdf/148/8/3225/4980676/mwrd200125.pdf by UNIVERSITY OF ILLINOIS user on 15 July 2020 b a PAUL ROBINSON, AND DEANNA A. HENCE a Department of Atmospheric Sciences, University of Illinois at Urbana–Champaign, Urbana, Illinois b Center for Severe Weather Research, Boulder, Colorado c Pacific Northwest National Laboratory, Richland, Washington, and University of Colorado Boulder, Boulder, Colorado d Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania e Centro de Investigaciones del Mar y la Atmósfera, CONICET-UBA, and Departamento de Ciencias de la Atmósfera y los Océanos, UBA, UMI-IFAECI, CNRS-CONICET-UBA, Buenos Aires, Argentina (Manuscript received 20 April 2020, in final form 18 May 2020) ABSTRACT On 10 November 2018, during the RELAMPAGO field campaign in Argentina, South America, a thun- derstorm with supercell characteristics was observed by an array of mobile observing instruments, including three Doppler on Wheels radars. In contrast to the archetypal supercell described in the Glossary of Meteorology, the updraft rotation in this storm was rather short lived (;25 min), causing some initial doubt as to whether this indeed was a supercell. However, retrieved 3D winds from dual-Doppler radar scans were used to document a high spatial correspondence between midlevel vertical velocity and vertical vorticity in this storm, thus providing evidence to support the supercell categorization. -
Tim Samaras 1957 – 2013 Nyheden Om Tim Samaras Alt for Tidlige Og Uforståelige Bortgang Skabte Chokbølger I Det Amerikanske
Tim Samaras 1957 – 2013 Nyheden om Tim Samaras alt for tidlige og uforståelige bortgang skabte chokbølger i det amerikanske meteorologiske miljø og blandt stormchasere verden over i dagene efter 1. Juni 2013. Tim Samaras interesse for tornadoer blev vakt i en alder af 6, da hans forældre tvang ham til at se ”Troldmanden fra Oz”. Som ung uddannede han sig til ingeniør. Hans interesse for tornadoer voksede og hans stiftede team TWISTEX (Tactical Weather Instrumented Sampling in/near Tornadoes Experiment) hvis mål var at foretage in situ målinger af temperatur, tryk m.m. i tornadoer. Han designede og byggede selv sine instrumenter, bl.a. sine tornadoprober (”Skilpadder” med måleudstyr og kameraer) som blev placeret direkte i en tornados bane. Han udstyr er indehaver af et rekordstort registreret trykfald på 100 hPa i en tornado. Trykfaldet skete på under et minut, og det laveste tryk var 850 hPa – hvilket også er det lavest registrerede lufttryk ved jordoverfladen når der er kalibreret for højden over havet. Denne måling blev foretaget i forbindelse med Manchester, South Dakota tornadoen i 2003. Tim Samaras anden store passion var lyn. Han ombyggede et koldkrigs highspeed kamera, oprindeligt til fotografering af nukleare eksplosioner med konventionel film, til digital fotografering med over 1.000.000 billeder i sekundet og har med det kunnet registrere et lyns livscyklus med hidtil usete detaljer. Tim Samaras og hans crew blev verdenskendt og respekteret for deres deltagelse i 3 sæsoner af Discovery Channels’s serie ”Storm Chasers”. Tim Samaras var også primus motor på det årlige National Storm Chasers Convention, som en weekend i februar i Denver tiltrækker stormchasere fra hele verden. -
Downloaded 10/04/21 02:12 PM UTC 874 MONTHLY WEATHER REVIEW VOLUME 147
MARCH 2019 G R I F F I N E T A L . 873 High-Temporal Resolution Observations of the 27 May 2015 Canadian, Texas, Tornado Using the Atmospheric Imaging Radar CASEY B. GRIFFIN School of Meteorology, and Advanced Radar Research Center, University of Oklahoma, Norman, Oklahoma DAVID J. BODINE AND JAMES M. KURDZO Advanced Radar Research Center, University of Oklahoma, Norman, Oklahoma ANDREW MAHRE AND ROBERT D. PALMER School of Meteorology, and Advanced Radar Research Center, University of Oklahoma, Norman, Oklahoma (Manuscript received 21 August 2018, in final form 16 January 2019) ABSTRACT On 27 May 2015, the Atmospheric Imaging Radar (AIR) collected high-temporal resolution radar ob- servations of an EF-2 tornado near Canadian, Texas. The AIR is a mobile, X-band, imaging radar that uses digital beamforming to collect simultaneous RHI scans while steering mechanically in azimuth to obtain rapid-update weather data. During this deployment, 208-by-808 (elevation 3 azimuth) sector volumes were collected every 5.5 s at ranges as close as 6 km. The AIR captured the late-mature and decaying stages of the tornado. Early in the deployment, the tornado had a radius of maximum winds (RMW) of 500 m and exhibited 2 maximum Doppler velocities near 65 m s 1. This study documents the rapid changes associated with the dissipation stages of the tornado. A 10-s resolution time–height investigation of vortex tilt and differential velocity DV is presented and illustrates an instance of upward vortex intensification as well as downward tornado decay. Changes in tornado intensity over periods of less than 30 s coincided with rapid changes in tornado diameter.