The Frequency of Large Hail Over the Contiguous US
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Prometric Combined Site List
Prometric Combined Site List Site Name City State ZipCode Country BUENOS AIRES ARGENTINA LAB.1 Buenos Aires ARGENTINA 1006 ARGENTINA YEREVAN, ARMENIA YEREVAN ARMENIA 0019 ARMENIA Parkus Technologies PTY LTD Parramatta New South Wales 2150 Australia SYDNEY, AUSTRALIA Sydney NEW SOUTH WALES 2000 NSW AUSTRALIA MELBOURNE, AUSTRALIA Melbourne VICTORIA 3000 VIC AUSTRALIA PERTH, AUSTRALIA PERTH WESTERN AUSTRALIA 6155 WA AUSTRALIA VIENNA, AUSTRIA Vienna AUSTRIA A-1180 AUSTRIA MANAMA, BAHRAIN Manama BAHRAIN 319 BAHRAIN DHAKA, BANGLADESH #8815 DHAKA BANGLADESH 1213 BANGLADESH BRUSSELS, BELGIUM BRUSSELS BELGIUM 1210 BELGIUM Bermuda College Paget Bermuda PG04 Bermuda La Paz - Universidad Real La Paz BOLIVIA BOLIVIA GABORONE, BOTSWANA GABORONE BOTSWANA 0000 BOTSWANA Physique Tranformations Gaborone Southeast 0 Botswana BRASILIA, BRAZIL Brasilia DISTRITO FEDERAL 70673-150 BRAZIL BELO HORIZONTE, BRAZIL Belo Horizonte MINAS GERAIS 31140-540 BRAZIL BELO HORIZONTE, BRAZIL Belo Horizonte MINAS GERAIS 30160-011 BRAZIL CURITIBA, BRAZIL Curitiba PARANA 80060-205 BRAZIL RECIFE, BRAZIL Recife PERNAMBUCO 52020-220 BRAZIL RIO DE JANEIRO, BRAZIL Rio de Janeiro RIO DE JANEIRO 22050-001 BRAZIL SAO PAULO, BRAZIL Sao Paulo SAO PAULO 05690-000 BRAZIL SOFIA LAB 1, BULGARIA SOFIA BULGARIA 1000 SOFIA BULGARIA Bow Valley College Calgary ALBERTA T2G 0G5 Canada Calgary - MacLeod Trail S Calgary ALBERTA T2H0M2 CANADA SAIT Testing Centre Calgary ALBERTA T2M 0L4 Canada Edmonton AB Edmonton ALBERTA T5T 2E3 CANADA NorQuest College Edmonton ALBERTA T5J 1L6 Canada Vancouver Island University Nanaimo BRITISH COLUMBIA V9R 5S5 Canada Vancouver - Melville St. Vancouver BRITISH COLUMBIA V6E 3W1 CANADA Winnipeg - Henderson Highway Winnipeg MANITOBA R2G 3Z7 CANADA Academy of Learning - Winnipeg North Winnipeg MB R2W 5J5 Canada Memorial University of Newfoundland St. -
Songs by Artist
Reil Entertainment Songs by Artist Karaoke by Artist Title Title &, Caitlin Will 12 Gauge Address In The Stars Dunkie Butt 10 Cc 12 Stones Donna We Are One Dreadlock Holiday 19 Somethin' Im Mandy Fly Me Mark Wills I'm Not In Love 1910 Fruitgum Co Rubber Bullets 1, 2, 3 Redlight Things We Do For Love Simon Says Wall Street Shuffle 1910 Fruitgum Co. 10 Years 1,2,3 Redlight Through The Iris Simon Says Wasteland 1975 10, 000 Maniacs Chocolate These Are The Days City 10,000 Maniacs Love Me Because Of The Night Sex... Because The Night Sex.... More Than This Sound These Are The Days The Sound Trouble Me UGH! 10,000 Maniacs Wvocal 1975, The Because The Night Chocolate 100 Proof Aged In Soul Sex Somebody's Been Sleeping The City 10Cc 1Barenaked Ladies Dreadlock Holiday Be My Yoko Ono I'm Not In Love Brian Wilson (2000 Version) We Do For Love Call And Answer 11) Enid OS Get In Line (Duet Version) 112 Get In Line (Solo Version) Come See Me It's All Been Done Cupid Jane Dance With Me Never Is Enough It's Over Now Old Apartment, The Only You One Week Peaches & Cream Shoe Box Peaches And Cream Straw Hat U Already Know What A Good Boy Song List Generator® Printed 11/21/2017 Page 1 of 486 Licensed to Greg Reil Reil Entertainment Songs by Artist Karaoke by Artist Title Title 1Barenaked Ladies 20 Fingers When I Fall Short Dick Man 1Beatles, The 2AM Club Come Together Not Your Boyfriend Day Tripper 2Pac Good Day Sunshine California Love (Original Version) Help! 3 Degrees I Saw Her Standing There When Will I See You Again Love Me Do Woman In Love Nowhere Man 3 Dog Night P.S. -
Sirocco Manual
SIROCCO INSTALLATION PROPER INSTALLATION IS IMPORTANT. IF YOU NEED ASSISTANCE, CONSULT A CONTRACTOR ELECTRICIAN OR TELEVISION ANTENNA INSTALLER (CHECK WITH YOUR LOCAL BUILDING SUPPLY, OR HARDWARE STORE FOR REFERRALS). TO PROMOTE CONFIDENCE, PERFORM A TRIAL WIRING BEFORE INSTALLATION. Determine where you are going to locate both the 1 rooftop sensor and the read-out. Feed the terminal lug end of the 2-conductor cable through 2 2-CONDUCTOR WIND SPEED the rubber boot and connect the lugs to the terminals on the bottom CABLE SENSOR of the wind speed sensor. (Do NOT adjust the nuts that are already BOOT on the sensor). The polarity does not matter. COTTER PIN 3 Slide the stub mast through the rubber boot and insert the stub mast into the bottom of the wind speed sensor. Secure with the cotter pin. Coat all conections with silicone sealant and slip the boot over the sensor. STRAIGHT STUB MAST Secure the sensor and the stub mast to your antenna 2-CONDUCTOR mast (not supplied) with the two hose clamps. Radio CABLE 4 Shack and similar stores have a selection of antenna HOSE CLAMPS masts and roof mounting brackets. Choose a mount that best suits your location and provides at least eight feet of vertical clearance above objects on the roof. TALL MAST EVE 8 FEET 5 Follow the instructions supplied with the antenna MOUNT VENT-PIPE mount and secure the mast to the mount. MOUNT CABLE WALL CHIMNEY Secure the wire to the building using CLIPS TRIPOD MOUNT MOUNT MOUNT 6 CAULK cable clips (do not use regular staples). -
Imagine2014 8B3 02 Gehrke
Loss Adjustment via Unmanned Aerial Systems (UAS) – Experiences and Challenges for Crop Insurance Thomas Gehrke, Regional Director Berlin, Resp. for International Affairs Loss Adjustment via UAS - Experiences and 20.10.2014 1 Challenges for Crop Insurance Structure 1. Introduction – Demo 2. Vereinigte Hagel – Market leader in Europe 3. Precision Agriculture – UAS 4. Crop insurance – Loss adjustment via UAS 5. Challenges and Conclusion Loss Adjustment via UAS - Experiences and Challenges for Crop Insurance 20.10.2014 2 Introduction – Demo Short film (not in pdf-file) Loss Adjustment via UAS - Experiences and Challenges for Crop Insurance 20.10.2014 3 Structure 1. Introduction – Demo 2. Vereinigte Hagel – Market leader in Europe 3. Precision Agriculture – UAS 4. Crop insurance – Loss adjustment via UAS 5. Challenges and Conclusion Loss Adjustment via UAS - Experiences and Challenges for Crop Insurance 20.10.2014 4 190 years of experience Secufarm® 1 Hail * Loss Adjustment via UAS - Experiences and Challenges for Crop Insurance 20.10.2014 5 2013-05-09, Hail – winter barley Loss Adjustment via UAS - Experiences and Challenges for Crop Insurance 20.10.2014 6 … and 4 weeks later Loss Adjustment via UAS - Experiences and Challenges for Crop Insurance 20.10.2014 7 Our Line of MPCI* Products PROFESSIONAL RISK MANAGEMENT is crucial part of modern agriculture. With Secufarm® products, farmers can decide individually which agricultural Secufarm® 6 crops they would like to insure against ® Fire & Drought which risks. Secufarm 4 Frost Secufarm® 3 Storm & Intense Rain Secufarm® 1 certain crop types are eligible Hail only for Secufarm 1 * MPCI: Multi Peril Crop Insurance Loss Adjustment via UAS - Experiences and Challenges for Crop Insurance 20.10.2014 8 Insurable Damages and their Causes Hail Storm Frost WEATHER RISKS are increasing further. -
Civil War in the Delta: Environment, Race, and the 1863 Helena Campaign George David Schieffler University of Arkansas, Fayetteville
University of Arkansas, Fayetteville ScholarWorks@UARK Theses and Dissertations 8-2017 Civil War in the Delta: Environment, Race, and the 1863 Helena Campaign George David Schieffler University of Arkansas, Fayetteville Follow this and additional works at: http://scholarworks.uark.edu/etd Part of the United States History Commons Recommended Citation Schieffler, George David, "Civil War in the Delta: Environment, Race, and the 1863 Helena Campaign" (2017). Theses and Dissertations. 2426. http://scholarworks.uark.edu/etd/2426 This Dissertation is brought to you for free and open access by ScholarWorks@UARK. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of ScholarWorks@UARK. For more information, please contact [email protected], [email protected]. Civil War in the Delta: Environment, Race, and the 1863 Helena Campaign A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in History by George David Schieffler The University of the South Bachelor of Arts in History, 2003 University of Arkansas Master of Arts in History, 2005 August 2017 University of Arkansas This dissertation is approved for recommendation to the Graduate Council. ____________________________________ Dr. Daniel E. Sutherland Dissertation Director ____________________________________ ____________________________________ Dr. Elliott West Dr. Patrick G. Williams Committee Member Committee Member Abstract “Civil War in the Delta” describes how the American Civil War came to Helena, Arkansas, and its Phillips County environs, and how its people—black and white, male and female, rich and poor, free and enslaved, soldier and civilian—lived that conflict from the spring of 1861 to the summer of 1863, when Union soldiers repelled a Confederate assault on the town. -
PROTECT YOUR PROPERTY from STORM SURGE Owning a House Is One of the Most Important Investments Most People Make
PROTECT YOUR PROPERTY FROM STORM SURGE Owning a house is one of the most important investments most people make. Rent is a large expense for many households. We work hard to provide a home and a future for ourselves and our loved ones. If you live near the coast, where storm surge is possible, take the time to protect yourself, your family and your belongings. Storm surge is the most dangerous and destructive part of coastal flooding. It can turn a peaceful waterfront into a rushing wall of water that floods homes, erodes beaches and damages roadways. While you can’t prevent a storm surge, you can minimize damage to keep your home and those who live there safe. First, determine the Base Flood Elevation (BFE) for your home. The BFE is how high floodwater is likely to rise during a 1%-annual-chance event. BFEs are used to manage floodplains in your community. The regulations about BFEs could affect your home. To find your BFE, you can look up your address on the National Flood Hazard Layer. If you need help accessing or understanding your BFE, contact FEMA’s Flood Mapping and Insurance eXchange. You can send an email to FEMA-FMIX@ fema.dhs.gov or call 877 FEMA MAP (877-336-2627). Your local floodplain manager can help you find this information. Here’s how you can help protect your home from a storm surge. OUTSIDE YOUR HOME ELEVATE While it is an investment, elevating your SECURE Do you have a manufactured home and want flood insurance YOUR HOME home is one of the most effective ways MANUFACTURED from the National Flood Insurance Program? If so, your home to mitigate storm surge effects. -
February 2021 Historical Winter Storm Event South-Central Texas
Austin/San Antonio Weather Forecast Office WEATHER EVENT SUMMARY February 2021 Historical Winter Storm Event South-Central Texas 10-18 February 2021 A Snow-Covered Texas. GeoColor satellite image from the morning of 15 February, 2021. February 2021 South Central Texas Historical Winter Storm Event South-Central Texas Winter Storm Event February 10-18, 2021 Event Summary Overview An unprecedented and historical eight-day period of winter weather occurred between 10 February and 18 February across South-Central Texas. The first push of arctic air arrived in the area on 10 February, with the cold air dropping temperatures into the 20s and 30s across most of the area. The first of several frozen precipitation events occurred on the morning of 11 February where up to 0.75 inches of freezing rain accumulated on surfaces in Llano and Burnet Counties and 0.25-0.50 inches of freezing rain accumulated across the Austin metropolitan area with lesser amounts in portions of the Hill Country and New Braunfels area. For several days, the cold air mass remained in place across South-Central Texas, but a much colder air mass remained stationary across the Northern Plains. This record-breaking arctic air was able to finally move south into the region late on 14 February and into 15 February as a strong upper level low-pressure system moved through the Southern Plains. As this system moved through the region, snow began to fall and temperatures quickly fell into the single digits and teens. Most areas of South-Central Texas picked up at least an inch of snow with the highest amounts seen from Del Rio and Eagle Pass extending to the northeast into the Austin and San Antonio areas. -
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. -
Climatic Information of Western Sahel F
Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | Clim. Past Discuss., 10, 3877–3900, 2014 www.clim-past-discuss.net/10/3877/2014/ doi:10.5194/cpd-10-3877-2014 CPD © Author(s) 2014. CC Attribution 3.0 License. 10, 3877–3900, 2014 This discussion paper is/has been under review for the journal Climate of the Past (CP). Climatic information Please refer to the corresponding final paper in CP if available. of Western Sahel V. Millán and Climatic information of Western Sahel F. S. Rodrigo (1535–1793 AD) in original documentary sources Title Page Abstract Introduction V. Millán and F. S. Rodrigo Conclusions References Department of Applied Physics, University of Almería, Carretera de San Urbano, s/n, 04120, Almería, Spain Tables Figures Received: 11 September 2014 – Accepted: 12 September 2014 – Published: 26 September J I 2014 Correspondence to: F. S. Rodrigo ([email protected]) J I Published by Copernicus Publications on behalf of the European Geosciences Union. Back Close Full Screen / Esc Printer-friendly Version Interactive Discussion 3877 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | Abstract CPD The Sahel is the semi-arid transition zone between arid Sahara and humid tropical Africa, extending approximately 10–20◦ N from Mauritania in the West to Sudan in the 10, 3877–3900, 2014 East. The African continent, one of the most vulnerable regions to climate change, 5 is subject to frequent droughts and famine. One climate challenge research is to iso- Climatic information late those aspects of climate variability that are natural from those that are related of Western Sahel to human influences. -
Storm Data and Unusual Weather Phenomena ....…….…....……………
MAY 2006 VOLUME 48 NUMBER 5 SSTORMTORM DDATAATA AND UNUSUAL WEATHER PHENOMENA WITH LATE REPORTS AND CORRECTIONS NATIONAL OCEANIC AND ATMOSPHERIC ADMINISTRATION noaa NATIONAL ENVIRONMENTAL SATELLITE, DATA AND INFORMATION SERVICE NATIONAL CLIMATIC DATA CENTER, ASHEVILLE, NC Cover: Baseball-to-softball sized hail fell from a supercell just east of Seminole in Gaines County, Texas on May 5, 2006. The supercell also produced 5 tornadoes (4 F0’s 1 F2). No deaths or injuries were reported due to the hail or tornadoes. (Photo courtesy: Matt Jacobs.) TABLE OF CONTENTS Page Outstanding Storm of the Month …..…………….….........……..…………..…….…..…..... 4 Storm Data and Unusual Weather Phenomena ....…….…....……………...........…............ 5 Additions/Corrections.......................................................................................................................... 406 Reference Notes .............……...........................……….........…..……........................................... 427 STORM DATA (ISSN 0039-1972) National Climatic Data Center Editor: William Angel Assistant Editors: Stuart Hinson and Rhonda Herndon STORM DATA is prepared, and distributed by the National Climatic Data Center (NCDC), National Environmental Satellite, Data and Information Service (NESDIS), National Oceanic and Atmospheric Administration (NOAA). The Storm Data and Unusual Weather Phenomena narratives and Hurricane/Tropical Storm summaries are prepared by the National Weather Service. Monthly and annual statistics and summaries of tornado and lightning events -
Probable Maximum Precipitation Estimates, United States East of the 105Th Meridian
HYDROMETEOROLOGICAL REPORT 'N0.53 L D ..... 'C..,p "\ ..u o tM/ 'A1 ws/t.d/M 'b !>"'"'"' , , 1 1 ~, 5 E.~..~t:-west J/.,e; h~ s,J~ ..s, .... ~ ,41'b ~·qto Seasonal Variation of 10-Square-Mile Probable Maximum Precipitation Estimates, United States East of the 105th Meridian ,_ U.S. DEPARTMENT OF COMMERCE, , -- NATIONAL OCEANIC AND ATMOS~HERIC ADMINISI'RATION U.S. NUCLEAR REGULATORY COMMISSION - , - Silver Spnng, Md , , Apn11980 U.S. Department of Commerce U.S. Nuclear Regulatory National Oceanic and Atmospheric Commission Administration NUREG/CR-1486 Hydrometeorological Report No. 53 SEASONAL VARIATION OF 10-SQUARE-MILE PROBABLE MAXIMUM PRECIPITATION ESTIMATES) UNITED STATES EAST OF THE 105TH MERIDIAN Prepared by Francis P. Ho and John T. Riedel Hydrometeorological Branch Office of Hydrology National Weather Service Washington, D.C. April 1980 TABLE OF CONTENTS Page Abstract. 1 1. Introduction . 1 1.1 Authorization. 1 1.2 Purpose. 1 1.3 Scope ••... 1 1.4 Definitions .. 2 1.5 Previous study 2 2. Basic data . 2 2.1 Background • • • • • . 2 2.2 Available station rainfall data •• 3 2.2.1 Storm rainfall • • • • • 3 2.2.2 Maximum 1-day or 24-hour values, each month ••••••• 3 2.2.3 Maximum 6-, 12- and 24-hr values, each month . 3 2.2.4 11aximum recorded rainfall at first-order stations. 3 2.2.5 Data tapes, selected stations. 3 2.2.6 Data tapes, 1948-73 •. 5 2.2.7 Canadian data. 5 3. Approach to PMP. • ••. 5 3.1 Summary. 5 3.2 Selected major storm values •. 5 3.3 Moisture maximization. -
The Population Bias of Severe Weather Reports West of the Continental Divide
THE POPULATION BIAS OF SEVERE WEATHER REPORTS WEST OF THE CONTINENTAL DIVIDE Paul Frisbie NOAAlNational Weather Service Weather Forecast Office Grand Junction, Colorado Abstract and had 'significant consequences. Lightning from thun derstorms that afternoon sparked the Marble Cone fire Many severe storms in the West may go unreported or (several miles south of Camp Pico Blanco) that burned unobserved, and therefore, the severe weather climatology 177,866 acres - the third largest wildfire in California's is not fully understood. However, as the population has history (California Department of Forestry and Fire increased in the West, so has the number of severe weath Protection 2004). er reports. To check if a population bias exists, correlation The aforementioned cases illustrate the challenges of coefficients are calculated with respect to population for establishing a relevant severe weather climatology for tornadic and nontornadic severe storm activity. The sam the western US. Since no one knows how many severe ple size for tornadic storms is too small to draw any con storms go unreported or unobserved, there is uncertainty clusion. To calculate the correlation coefficients for non regarding the number of severe storms that actually do tornadic severe storms, population and severe weather occur. People have been gradually moving into areas that data are used for every county in each western state were once unpopulated, and are now observing severe between the years 1986-1995 and 1996-2004. The calcu storms that would not have been observed beforehand. To lated correlation coefficients reveal that population and provide a better understanding of how often severe the number ofnontornadic severe storms are significantly weather occurs, trends for tornadic and nontornadic correlated which indicates that a population bias does severe storms will be examined.