The Unnamed Atlantic Tropical Storms of 1970
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Comparing Historical and Modern Methods of Sea Surface Temperature
EGU Journal Logos (RGB) Open Access Open Access Open Access Advances in Annales Nonlinear Processes Geosciences Geophysicae in Geophysics Open Access Open Access Natural Hazards Natural Hazards and Earth System and Earth System Sciences Sciences Discussions Open Access Open Access Atmospheric Atmospheric Chemistry Chemistry and Physics and Physics Discussions Open Access Open Access Atmospheric Atmospheric Measurement Measurement Techniques Techniques Discussions Open Access Open Access Biogeosciences Biogeosciences Discussions Open Access Open Access Climate Climate of the Past of the Past Discussions Open Access Open Access Earth System Earth System Dynamics Dynamics Discussions Open Access Geoscientific Geoscientific Open Access Instrumentation Instrumentation Methods and Methods and Data Systems Data Systems Discussions Open Access Open Access Geoscientific Geoscientific Model Development Model Development Discussions Open Access Open Access Hydrology and Hydrology and Earth System Earth System Sciences Sciences Discussions Open Access Ocean Sci., 9, 683–694, 2013 Open Access www.ocean-sci.net/9/683/2013/ Ocean Science doi:10.5194/os-9-683-2013 Ocean Science Discussions © Author(s) 2013. CC Attribution 3.0 License. Open Access Open Access Solid Earth Solid Earth Discussions Comparing historical and modern methods of sea surface Open Access Open Access The Cryosphere The Cryosphere temperature measurement – Part 1: Review of methods, Discussions field comparisons and dataset adjustments J. B. R. Matthews School of Earth and Ocean Sciences, University of Victoria, Victoria, BC, Canada Correspondence to: J. B. R. Matthews ([email protected]) Received: 3 August 2012 – Published in Ocean Sci. Discuss.: 20 September 2012 Revised: 31 May 2013 – Accepted: 12 June 2013 – Published: 30 July 2013 Abstract. Sea surface temperature (SST) has been obtained 1 Introduction from a variety of different platforms, instruments and depths over the past 150 yr. -
Tornadoes & Funnel Clouds Fake Tornado
NOAA’s National Weather Service Basic Concepts of Severe Storm Spotting 2009 – Rusty Kapela Milwaukee/Sullivan weather.gov/milwaukee Housekeeping Duties • How many new spotters? - if this is your first spotter class & you intend to be a spotter – please raise your hands. • A basic spotter class slide set & an advanced spotter slide set can be found on the Storm Spotter Page on the Milwaukee/Sullivan web site (handout). • Utilize search engines and You Tube to find storm videos and other material. Class Agenda • 1) Why we are here • 2) National Weather Service Structure & Role • 3) Role of Spotters • 4) Types of reports needed from spotters • 5) Thunderstorm structure • 6) Shelf clouds & rotating wall clouds • 7) You earn your “Learner’s Permit” Thunderstorm Structure Those two cloud features you were wondering about… Storm Movement Shelf Cloud Rotating Wall Cloud Rain, Hail, Downburst winds Tornadoes & Funnel Clouds Fake Tornado It’s not rotating & no damage! Let’s Get Started! Video Why are we here? Parsons Manufacturing 120-140 employees inside July 13, 2004 Roanoke, IL Storm shelters F4 Tornado – no injuries or deaths. They have trained spotters with 2-way radios Why Are We Here? National Weather Service’s role – Issue warnings & provide training Spotter’s role – Provide ground-truth reports and observations We need (more) spotters!! National Weather Service Structure & Role • Federal Government • Department of Commerce • National Oceanic & Atmospheric Administration • National Weather Service 122 Field Offices, 6 Regional, 13 River Forecast Centers, Headquarters, other specialty centers Mission – issue forecasts and warnings to minimize the loss of life & property National Weather Service Forecast Office - Milwaukee/Sullivan Watch/Warning responsibility for 20 counties in southeast and south- central Wisconsin. -
The Lagrange Torando During Vortex2. Part Ii: Photogrammetry Analysis of the Tornado Combined with Dual-Doppler Radar Data
6.3 THE LAGRANGE TORANDO DURING VORTEX2. PART II: PHOTOGRAMMETRY ANALYSIS OF THE TORNADO COMBINED WITH DUAL-DOPPLER RADAR DATA Nolan T. Atkins*, Roger M. Wakimoto#, Anthony McGee*, Rachel Ducharme*, and Joshua Wurman+ *Lyndon State College #National Center for Atmospheric Research +Center for Severe Weather Research Lyndonville, VT 05851 Boulder, CO 80305 Boulder, CO 80305 1. INTRODUCTION studies, however, that have related the velocity and reflectivity features observed in the radar data to Over the years, mobile ground-based and air- the visual characteristics of the condensation fun- borne Doppler radars have collected high-resolu- nel, debris cloud, and attendant surface damage tion data within the hook region of supercell (e.g., Bluestein et al. 1993, 1197, 204, 2007a&b; thunderstorms (e.g., Bluestein et al. 1993, 1997, Wakimoto et al. 2003; Rasmussen and Straka 2004, 2007a&b; Wurman and Gill 2000; Alexander 2007). and Wurman 2005; Wurman et al. 2007b&c). This paper is the second in a series that pre- These studies have revealed details of the low- sents analyses of a tornado that formed near level winds in and around tornadoes along with LaGrange, WY on 5 June 2009 during the Verifica- radar reflectivity features such as weak echo holes tion on the Origins of Rotation in Tornadoes Exper- and multiple high-reflectivity rings. There are few iment (VORTEX 2). VORTEX 2 (Wurman et al. 5 June, 2009 KCYS 88D 2002 UTC 2102 UTC 2202 UTC dBZ - 0.5° 100 Chugwater 100 50 75 Chugwater 75 330° 25 Goshen Co. 25 km 300° 50 Goshen Co. 25 60° KCYS 30° 30° 50 80 270° 10 25 40 55 dBZ 70 -45 -30 -15 0 15 30 45 ms-1 Fig. -
June 18, 2017 Landspout Tornadoes
June 18, 2017 Landspout Tornadoes During the evening hours of Sunday, June 18, thunderstorms developed in the vicinity of a cold front over Reagan and Upton Counties.As a result of intense heating and an incredible amount of instability along this boundary, three EF0 landspout* (see definitionat bottom of report) tornadoes touched down in Reagan and southeast Upton Counties between 7 and 8 pm CDT. These tornadoes occurred in open country and no damage was reported. Tornado #1 – EF0: Southwest Reagan County to Southeast Upton County (~7:05-7:13 pm CDT) The first thunderstorm developed around 6:00 pm near Big Lake, TX and slowly moved west along and near US Hwy 67. Law enforcement officersand folks in the area viewed and took images of a tornado that developed 1-2 miles south of US Hwy 67 roughly 14 miles east of Big Lake and continued westward through open fields insouth east portions of Upton County. The tornado was narrow, perhaps 50-75 yards in width and no damage was reported with this tornado. Photo by Maybell Carrasco Photo by Greg Romero Tornado #2 – EF0: Central Reagan Photo by Shanna Gibson County (~8:00 pm CDT) Another thunderstorm moving west, entered eastern Reagan County around 7:30 pm. As this storm approached Big Lake, a second tornado was spotted around 8 pm roughly 6-7 miles northeast of Big Lake, 2-3 miles east of SH 137. This tornado was very short-lived and went undetected on radar. It occurred in open country and no damage was reported. Tornado #3 – EF0: Northeast Reagan County – approximately 20-25 miles north of Big Lake. -
Downloaded 09/24/21 04:27 PM UTC 1512 MONTHLY WEATHER REVIEW VOLUME 146
MAY 2018 C A V I C C H I A E T A L . 1511 Energetics and Dynamics of Subtropical Australian East Coast Cyclones: Two Contrasting Cases LEONE CAVICCHIA School of Earth Sciences, University of Melbourne, Melbourne, Australia ANDREW DOWDY Bureau of Meteorology, Melbourne, Australia KEVIN WALSH School of Earth Sciences, University of Melbourne, Melbourne, Australia (Manuscript received 27 October 2017, in final form 13 March 2018) ABSTRACT The subtropical east coast region of Australia is characterized by the frequent occurrence of low pressure systems, known as east coast lows (ECLs). The more intense ECLs can cause severe damage and disruptions to this region. While the term ‘‘east coast low’’ refers to a broad classification of events, it has been argued that different ECLs can have substantial differences in their nature, being dominated by baroclinic and barotropic processes in different degrees. Here we reexamine two well-known historical ECL case studies under this perspective: the Duck storm of March 2001 and the Pasha Bulker storm of June 2007. Exploiting the cyclone phase space analysis to study the storms’ full three-dimensional structure, we show that one storm has features similar to a typical extratropical frontal cyclone, while the other has hybrid tropical–extratropical charac- teristics. Furthermore, we examine the energetics of the atmosphere in a limited area including both systems for the ECL occurrence times, and show that the two cyclones are associated with different signatures in the energy conversion terms. We argue that the systematic use of the phase space and energetics diagnostics can form the basis for a physically based classification of ECLs, which is important to advance the understanding of ECL risk in a changing climate. -
Skip Talbot Photography by Jennifer Brindley
STORM SPOTTING Skip Talbot SECRETS Photography by Jennifer Brindley Ubl and others Topics • Supercell Visualization • Radar Presentation • Structure Identification • Storm Properties • Walk Through Disclaimers • Attend spotter training • Your safety is more important than spotting, photos, video, or tornado reports Supercell Visualization Lemon and Doswell 1979 Supercell Visualization Supercell Visualization Photo: Chris Gullikson Supercell Visualization Photo: Chris Gullikson Anvil Anvil Backshear Mammatus Cumulonimbus Flanking Line Cloud Base Striations Precipitation Wall Cloud Precipitation-free Base Supercell Visualization Radar Presentation Classic Hook Echo Radar Presentation Android / iOS Android Windows GrLevel3 / GrLevel2 Radar Presentation Classic Hook Echo Radar Presentation Radar Presentation Radar Presentation Radar Presentation Storm Spotting Zoo • Bear’s Cage • Whale’s Mouth • Beaver Tail • Horseshoe • Ghost Train Base (Updraft Base) (Rain Free Base or RFB) Base (Updraft Base) (Rain Free Base or RFB) Base (Updraft Base) (Rain Free Base or RFB) Base (Updraft Base) (Rain Free Base or RFB) Base (Updraft Base) (Rain Free Base or RFB) Base (Updraft Base) (Rain Free Base or RFB) Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe Horseshoe - Cyclical supercell with multiple tornadoes HorseshoeHorseshoe HorseshoeHorseshoe Horseshoe Horseshoe – Anticyclonic Funnel Horseshoe Horseshoe – Anticyclonic Funnel Horseshoe - No Wall Cloud Horseshoe - No Wall Cloud -
Flood of August 1950 in the Waimea Area Kauai, Hawaii
Flood of August 1950 in the Waimea Area Kauai, Hawaii > R. K. CHUN :^LOODS OF 1950 GEOLOGICAL SURVEY WATER-SUPPLY PAPER 1137-C ^repared in cooperation with the Territory of Hawaii UNITED STATES GOVERNMENT PRINTING OFFICE, WASHINGTON : 1952 UNITED STATES DEPARTMENT OF THE INTERIOR Oscar L. Chapman, Secretary GEOLOGICAL SURVEY W. E. Wrather, Director For sale by the Superintendent of Documents, U. S. Government Printing Office Washington 25, D. C. - Price 15 cents (paper cover) PREFACE This report on the flood of August 1950 in Kauai, T. H., was prepared in the Surface Water Branch, J. V. B. Wells, Chief. The material was assem bled and the text was written by R. K. Chun, hydraulic engineer, under the immediate super vision of M. H. Carson, District Engineer. Base data used in this report were collected in cooperation with the Territory of Hawaii. The Weather Bureau furnished a discussion on the meteorology of the storm and a map showing the path of the hurricane. The collection of data for indirect determination of peak discharges was supervised, and the computations made, by Hollister Johnson, hydraulic engineer. Ill CONTENTS Page Introduction ..................................................... 327 Stages and discharges at stream-gaging stations ..................... 327 Waimea River near Waimea, Kauai .............................. 331 Kawaikoi Stream near Waimea, Kauai ............................ 332 Mohihi Stream near Waimea/ Kauai .............................. 333 Makaweli River near Waimea, Kauai ............................. 334 Combined discharge of Waimea and Makaweli Rivers ............... 335 Summary of flood data ............................................ 337 Flood stages and discharges ..................................... 337 Annual floods in Waimea River ................................... 337 Physical features of Kauai'........................................ 342 Meteorological features of the flood ................................ 343 Precipitation................................................... 343 Meteorology, by R. -
Automated Underway Oceanic and Atmospheric Measurements from Ships
AUTOMATED UNDERWAY OCEANIC AND ATMOSPHERIC MEASUREMENTS FROM SHIPS Shawn R. Smith (1), Mark A. Bourassa (1), E. Frank Bradley (2), Catherine Cosca (3), Christopher W. Fairall (4), Gustavo J. Goni (5), John T. Gunn (6), Maria Hood (7), Darren L. Jackson (8), Elizabeth C. Kent (9), Gary Lagerloef (6), Philip McGillivary (10), Loic Petit de la Villéon (11), Rachel T. Pinker (12), Eric Schulz (13), Janet Sprintall (14), Detlef Stammer (15), Alain Weill (16), Gary A. Wick (17), Margaret J. Yelland (9) (1) Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, FL 32306-2840, USA, Emails: [email protected], [email protected] (2) CSIRO Land and Water, PO Box 1666, Canberra, ACT 2601, AUSTRALIA, Email: [email protected] (3) NOAA/PMEL, 7600 Sand Point Way NE, Seattle, WA 98115, USA, Email: [email protected] (4) NOAA/ESRL/PSD, R/PSD3, 325 Broadway, Boulder, CO 80305-3328, USA, Email: [email protected] (5) USDC/NOAA/AOML/PHOD, 4301 Rickenbacker Causeway, Miami, FL 33149, USA, Email: [email protected] (6) Earth and Space Research, 2101 Fourth Ave., Suite 1310, Seattle, WA, 98121, USA, Emails: [email protected], [email protected] (7) Intergovernmental Oceanographic Commission UNESCO, 1, rue Miollis, 75732 Paris Cedex 15, FRANCE, Email: [email protected] (8) Cooperative Institute for Research in Environmental Sciences, NOAA/ESRL/PSD, 325 Broadway, R/PSD2, Boulder, CO 80305, USA, Email: [email protected] (9) National Oceanography Centre, European Way, Southampton, SO14 3ZH, UK, Emails: [email protected], -
Central Region Technical Attachment 95-08 Examination of an Apparent
CRH SSD APRIL 1995 CENTRAL REGION TECHNICAL ATTACHMENT 95-08 EXAMINATION OF AN APPARENT LANDSPOUT IN THE EASTERN BLACK HILLS OF WESTERN SOUTH DAKOTA David L. Hintz1 and Matthew J. Bunkers National Weather Service Office Rapid City, South Dakota 1. Abstract On June 29, 1994, an apparent landspout occurred in the Black Hills of South Dakota. This landspout exhibited most of the features characteristic of traditional landspouts documented in eastern Colorado. The landspout lasted 3 to 8 minutes, had a width of less than 20 m and a path of 1 to 3 km, produced estimated wind speeds of Fl intensity (33 to 50 m s1), and emanated from a towering cumulus (TCU) cloud located along a quasi-stationary convergencq/cyclonic shear zone. No radar echo was observed with this event; however, a supercell thunderstorm was located 80-100 km to the east. National Weather Service meteorologists surveyed the “very localized” damage area and ruled out the possibility of the landspout being related to microburst, gustnado, or dust devil activity, as winds away from the landspout were less than 3 m s1. The landspout apparently “detached” from the parent TCU and damaged a farm which resulted in $1,000 dollars in expenses. 2. Introduction During the late 1980’s and early 1990’s researchers documented a phe nomenon with subtle differences from traditional tornadoes and waterspouts, herein referred to as the landspout (Seargent 1994; Brady and Szoke 1988, 1989; Bluestein 1985). The term “landspout” was actually coined by Bluestein (I985)(in the formal literature) when he observed this type of vortex along an Oklahoma squall line. -
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. -
Synoptic Meteorology
Lecture Notes on Synoptic Meteorology For Integrated Meteorological Training Course By Dr. Prakash Khare Scientist E India Meteorological Department Meteorological Training Institute Pashan,Pune-8 186 IMTC SYLLABUS OF SYNOPTIC METEOROLOGY (FOR DIRECT RECRUITED S.A’S OF IMD) Theory (25 Periods) ❖ Scales of weather systems; Network of Observatories; Surface, upper air; special observations (satellite, radar, aircraft etc.); analysis of fields of meteorological elements on synoptic charts; Vertical time / cross sections and their analysis. ❖ Wind and pressure analysis: Isobars on level surface and contours on constant pressure surface. Isotherms, thickness field; examples of geostrophic, gradient and thermal winds: slope of pressure system, streamline and Isotachs analysis. ❖ Western disturbance and its structure and associated weather, Waves in mid-latitude westerlies. ❖ Thunderstorm and severe local storm, synoptic conditions favourable for thunderstorm, concepts of triggering mechanism, conditional instability; Norwesters, dust storm, hail storm. Squall, tornado, microburst/cloudburst, landslide. ❖ Indian summer monsoon; S.W. Monsoon onset: semi permanent systems, Active and break monsoon, Monsoon depressions: MTC; Offshore troughs/vortices. Influence of extra tropical troughs and typhoons in northwest Pacific; withdrawal of S.W. Monsoon, Northeast monsoon, ❖ Tropical Cyclone: Life cycle, vertical and horizontal structure of TC, Its movement and intensification. Weather associated with TC. Easterly wave and its structure and associated weather. ❖ Jet Streams – WMO definition of Jet stream, different jet streams around the globe, Jet streams and weather ❖ Meso-scale meteorology, sea and land breezes, mountain/valley winds, mountain wave. ❖ Short range weather forecasting (Elementary ideas only); persistence, climatology and steering methods, movement and development of synoptic scale systems; Analogue techniques- prediction of individual weather elements, visibility, surface and upper level winds, convective phenomena. -
Section 5 Development of and Studies with Regional and Smaller-Scale
Section 5 Development of and studies with regional and smaller-scale atmospheric models, regional ensemble forecasting Verification of mesoscale forecasts by a high resolution non-hydrostatic model at JMA Kohei Aranami and Tomonori Segawa Numerical Prediction Division, 1-3-4 Otemachi, Chiyoda-ku, Tokyo 100-8122, Japan E-mail: [email protected], [email protected] 1 Introduction etary boundary layer is reduced to be half of 10km- Japan Meteorological Agency (JMA) started op- NHM. The horizontal mixing length is reduced to erating a mesoscale numerical weather prediction the same value of that of vertical. system for disaster prevention in March 2001 us- The Kessler-type conversion threshold from con- ing a hydrostatic model (MSM) with a horizon- vective condensate to precipitation is increased tal resolution 10 km. A non-hydrostatic model and life times of deep and shallow convection are (JMANHM, Saito et al., 2006, hereafter 10km- changed in the Kain Fritsch cumulus parameteri- NHM) has been operating since September 2004 zation scheme (Kain and Fritsch, 1993) that affects with the same horizontal resolution. The horizon- greatly the accuracy of precipitation forecasts. tal resolution is planned to be enhanced to 5 km 3 Verification results (5km-NHM) in March 2006 on the new computer In this section, the performance of 5km-NHM is system of JMA. shown in terms of statistical verification scores in 2 Specifications of 5km-NHM comparison with 10km-NHM for the period of June In this section, the specifications which are to July in 2004 and January to February in 2005.