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Hurricane Forecasting in Canada: a Partnership Between Research and Operations
Hurricane Forecasting in Canada: a partnership between research and operations J.D. Abraham Director General Weather and Environmental Monitoring Meteorological Service of Canada IWET IV May 24 2012 Creation and evolution of the CHC: 25th Anniversary September 25-28, 1985 – Hurricane Gloria affected the Maritime provinces. Canadians had to rely largely on U.S. forecasts concerning this intense storm. When the storm's effects on Canada were much less than predicted, there was considerable confusion in the media and the general public. This eventually lead to the creation of the CHC. 1980’s CNN – Growth in cable news and live coverage August 31, 1987 – Environment Canada established hurricane centres on each coast: at the then Maritimes Weather Centre (Bedford, N.S.), and at the then Pacific Weather Centre (Vancouver, B.C.). 2000 – The Canadian Hurricane Centre was established in Dartmouth, N.S., to serve all of Canada. Canadian Hurricane Centre Ops 1987: First hurricane forecasting specialists were identified: Jim Abraham, Peter Bowyer, Al MacAfee, Ken MacDonald, John Merrick CHC issues first bulletins on Hurricane Emily 1989: First Environment Canada meteorologist attends the WMO-NHC Hurricane Workshop 1991: First hurricane-forecasting training delivered in Canada by a U.S. National Hurricane Centre specialist (Hal Gerrish) 1994: Development and implementation of hurricane workstation software that prepares tracks and bulletins (Al MacAfee) TC (not ET) Training 4 ET: a collaborative R&D and forecaster challenge 1989: Tropical Storm Hugo -
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. -
Hurricanes Katrina and Rita – Louisiana's Response And
HURRICANES KATRINA AND RITA – LOUISIANA’S RESPONSE AND RECOVERY Ray A. Mumphrey, P.E., Louisiana Department of Transportation and Development, Baton Rouge, Louisiana, and Hossein Ghara, P.E., MBA, Louisiana Department of Transportation and Development, Baton Rouge, Louisiana KEYWORDS: Louisiana Department of Transportation and Development, National Oceanic and Atmospheric Administration, Federal Emergency Management Agency, Contra flow, Inundation, Fixed and Movable Bridges, Open Water Bridges, Coastal Protection and Restoration Authority ABSTRACT: Louisiana’s transportation and hurricane protection system took a tremendous blow from two major hurricanes that struck the coast of Louisiana in 2005, hurricanes Katrina and Rita. This presentation will introduce the audience to the transportation infrastructure damage Louisiana experienced as a result of these two storms and will describe how Louisiana is responding to the disasters and our road to recovery. Figure 1 - Hurricanes that hit the coast of Louisiana since 1900 As Louisiana residents, we become accustom to the ever present threat of hurricanes. Refer to figure 1. Much like other parts of the country, which have other natural disasters such as tornados, mud slides, avalanches or earthquakes, we just prepare for the worst, minimize loss of life and property, and thank God when it’s all over. As engineers we know we can always rebuild structures, and possibly restore livelihoods, but loss of life is not replaceable. 2005 STORMS Hurricane Katrina was a category 4 storm when it made landfall on August 29, 2005, along the Louisiana – Mississippi Gulf Coast. The storm was fast moving and provided minimum time for preparation. Refer to figure 2. “Hurricane Katrina was the most destructive hurricane to ever strike the U.S.” NOAA Just as we were getting back on our feet from the impacts of Hurricane Katrina, BAM! We were faced with another storm, Rita. -
Significant Loss Report
NATIONAL FLOOD INSURANCE PROGRAM Bureau and Statistical Agent W-01049 3019-01 MEMORANDUM TO: Write Your Own (WYO) Principal Coordinators and NFIP Servicing Agent FROM: WYO Clearinghouse DATE: July 18, 2001 SUBJECT: Significant Loss Report Enclosed is a listing of significant flooding events that occurred between February 1978 and October 2000. Only those events that had more than 1500 losses are included on the list. These data were compiled for WYO Companies and others to use to remind their customers of the impact of past flooding events. Please use this information in your marketing efforts as you feel it is appropriate. If you have any questions, please contact your WYO Program Coordinator. Enclosure cc: Vendors, IBHS, FIPNC, WYO Standards Committee, WYO Marketing Committee, ARCHIVEDGovernment Technical Representative APRIL 2018 Suggested Routing: Claims, Marketing, Underwriting 7700 HUBBLE DRIVE • LANHAM, MD 20706 • (301) 731-5300 COMPUTER SCIENCES CORPORATION, under contract to the FEDERAL EMERGENCY MANAGEMENT AGENCY, is the Bureau and Statistical Agent for the National Flood Insurance Program NATIONAL FLOOD INSURANCE PROGRAM SIGNIFICANT FLOOD EVENTS REPORT EVENT YEAR # PD LOSSES AMOUNT PD ($) AVG PD LOSS Massachusetts Flood Feb. 1978 Feb-78 2,195 $20,081,479 $9,149 Louisiana Flood May 1978 May-78 7,284 $43,288,709 $5,943 WV, IN, KY, OH Floods Dec 1978 Dec-78 1,879 $11,934,512 $6,352 PA, CT, MA, NJ, NY, RI Floods Jan-79 8,826 $31,487,015 $3,568 Texas Flood April 1979 Apr-79 1,897 $19,817,668 $10,447 Florida Flood April 1979 Apr-79 -
Tropical Cyclone Report for Hurricane Ivan
Tropical Cyclone Report Hurricane Ivan 2-24 September 2004 Stacy R. Stewart National Hurricane Center 16 December 2004 Updated 27 May 2005 to revise damage estimate Updated 11 August 2011 to revise damage estimate Ivan was a classical, long-lived Cape Verde hurricane that reached Category 5 strength three times on the Saffir-Simpson Hurricane Scale (SSHS). It was also the strongest hurricane on record that far south east of the Lesser Antilles. Ivan caused considerable damage and loss of life as it passed through the Caribbean Sea. a. Synoptic History Ivan developed from a large tropical wave that moved off the west coast of Africa on 31 August. Although the wave was accompanied by a surface pressure system and an impressive upper-level outflow pattern, associated convection was limited and not well organized. However, by early on 1 September, convective banding began to develop around the low-level center and Dvorak satellite classifications were initiated later that day. Favorable upper-level outflow and low shear environment was conducive for the formation of vigorous deep convection to develop and persist near the center, and it is estimated that a tropical depression formed around 1800 UTC 2 September. Figure 1 depicts the “best track” of the tropical cyclone’s path. The wind and pressure histories are shown in Figs. 2a and 3a, respectively. Table 1 is a listing of the best track positions and intensities. Despite a relatively low latitude (9.7o N), development continued and it is estimated that the cyclone became Tropical Storm Ivan just 12 h later at 0600 UTC 3 September. -
Puerto Rico Post-2017 Hurricane Season: Initial Insights & Outlook November 2017
Puerto Rico Post-2017 Hurricane Season: Initial Insights & Outlook November 2017 First Thoughts April 2006 to August 2017, representing a loss of roughly 300,000 private and public-sector jobs, the unemployment rate has remained in double-digits for decades, and the labor force participation rate is In the aftermath of a catastrophic natural disaster like the one below 40%.3 A largely obsolete economic model, an underperforming experienced in Puerto Rico during September 2017, an acute public sector with weak public institutions, loss of competitiveness sense of uncertainty often takes hold of the affected people and in an increasingly globalized marketplace, burdensome costs of organizations. Households, business firms, nonprofit entities, and doing business, and poor regulatory quality that hamper growth and the public sector need timely, objective, accurate and reliable productivity, are some of the main factors that explain Puerto Rico’s information and insights to better inform their strategic planning economic stagnation.4 and other decision-making processes. This special V2A issue, the first of a series of issues, seeks to narrow this information gap Further intensifying Puerto Rico’s economic and humanitarian by providing a preliminary assessment and outlook under this woes is the government’s poor fiscal health and liquidity risks, new Post-Hurricane María reality. It also serves as a succinct, yet which limit the implementation of traditional countercyclical fiscal comprehensive one-stop read containing up-to-date and relevant measures. Overburdened by an over $70 billion debt load and an information from a variety of sources. additional $50 billion in unfunded pension liabilities, Puerto Rico filed for bankruptcy protection on May 1, 2017 under Title III of While the challenges ahead for Puerto Rico cannot be overstated the Puerto Rico Oversight, Management and Economic Stability and the post-disaster recovery and reconstruction process will likely Act (PROMESA) enacted on June 30, 2016. -
Variations Aperiodic Extreme Sea Level in Cuba Under the Influence
Extreme non-regular sea level variations in Cuba under the influence of intense tropical cyclones. Item Type Journal Contribution Authors Hernández González, M. Citation Serie Oceanológica, (8). p. 13-24 Publisher Instituto de Oceanología Download date 02/10/2021 16:50:34 Link to Item http://hdl.handle.net/1834/4053 Serie Oceanológica. No. 8, 2011 ISSN 2072-800x Extreme non-regular sea level variations in Cuba under the influence of intense tropical cyclones. Variaciones aperiódicas extremas del nivel del mar en Cuba bajo la influencia de intensos ciclones tropicales. Marcelino Hernández González* *Institute of Oceanology. Ave. 1ra. No.18406 entre 184 y 186. Flores, Playa, Havana, Cuba. [email protected] ACKNOWLEDGEMENTS This work was sponsored by the scientific – technical service "Real Time Measurement and Transmission of Information. Development of Operational Oceanographic Products", developed at the Institute of Oceanology. The author wishes to thank Mrs. Martha M. Rivero Fernandez, from the Marine Information Service of the Institute of Oceanology, for her support in the translation of this article. Abstract This paper aimed at analyzing non-regular sea level variations of meteorological origin under the influence of six major tropical cyclones that affected Cuba, from sea level hourly height series in twelve coastal localities. As a result, it was obtained a characterization of the magnitude and timing of extreme sea level variations under the influence of intense tropical cyclones. Resumen El presente trabajo tuvo como objetivo analizar las variaciones aperiódicas del nivel del mar de origen meteorológico bajo la influencia de seis de los principales ciclones tropicales que han afectado a Cuba, a partir de series de alturas horarias del nivel del mar de doce localidades costeras. -
19810013173.Pdf
N O T I C E THIS DOCUMENT HAS BEEN REPRODUCED FROM MICROFICHE. ALTHOUGH IT IS RECOGNIZED THAT CERTAIN PORTIONS ARE ILLEGIBLE, IT IS BEING RELEASED IN THE INTEREST OF MAKING AVAILABLE AS MUCH INFORMATION AS POSSIBLE ^, r7 F- a t ^^ yF { a i lit Technical Memorandum 80596 i zi t Tropical Cyclone Rainfall Characteristics as determined from a Satellite Passive Microwave Radiometer E. B. Rodgers and R. F. Adler Nq A Scf, ^Et1 dtrC'wQre DECEMBER 1979 APR 1991 National Aeronautics and Space Administration Goddard Space Flight Center Greenbelt, Maryland 20771 (NASA—TM-•80596) TOPICAL CYCLONE RAINFALL N81-21703 CHARACTERISTI C S AS DETERMINED FROM A SATELLITE PASSIVE MICBORAVE :RADIOMETER (NAS A) 48 P HC Ana/MF A01 CSCL 04.B UUclaa G 3/47 41970 I. Tropical Cyclone Rainfall Characteristics As Determined From a Satellite Passive Microwave Radiometer Edward B. i odgas and Robert F. Adler Laboratory for Atmospheric Sciences (GLAS) Goddard Space Flight Center National Aeronautics and Space Administration Greenbelt, MD 20771 ABSTRACT Data from the Nimbus-5 Electrically Scanning Microwave Radiometer (ESMR-S) have been used to calculate latent licat release (LHR) and other rainfall parameters for over 70 satellite obser- vations of 21 tropical cyclones during 1973, 1974, and 1975 in the tropical North Pacific Ocean. The results indicate that the ESMR-5 measurements can be useful in determining the rainfall charac- teristics of these storms and appear to be potentially use"ul in monitoring as well as predicting their intensity. The ESMR-5 derived total tropical cyclone rainfall estimates agree favorably with pre- vious estimates for both the disturbance and typhoon stages. -
10R.3 the Tornado Outbreak Across the North Florida Panhandle in Association with Hurricane Ivan
10R.3 The Tornado Outbreak across the North Florida Panhandle in association with Hurricane Ivan Andrew I. Watson* Michael A. Jamski T.J. Turnage NOAA/National Weather Service Tallahassee, Florida Joshua R.Bowen Meteorology Department Florida State University Tallahassee, Florida Jason C. Kelley WJHG-TV Panama City, Florida 1. INTRODUCTION their mobile homes were destroyed near Blountstown, Florida. Hurricane Ivan made landfall early on the morning of 16 September 2004, just west of Overall, there were 24 tornadoes reported Gulf Shores, Alabama as a category 3 across the National Weather Service (NWS) hurricane on the Saffir-Simpson Hurricane Tallahassee forecast area. The office issued Scale. Approximately 117 tornadoes were 130 tornado warnings from the afternoon of 15 reported associated with Ivan across the September until just after daybreak on 16 southeast United States. Eight people were September. killed and 17 were injured by tornadoes (Storm Data 2004; Stewart 2004). The most The paper examines the convective cells significant tornadoes occurred as hurricane within the rain bands of hurricane Ivan, which Ivan approached the Florida Gulf coast on the produced these tornadoes across the Florida afternoon and evening of 15 September. Panhandle, Big Bend, and southwest Georgia. The structure of the tornadic and non-tornadic The intense outer rain bands of Ivan supercells is examined for clues on how to produced numerous supercells over portions better warn for these types of storms. This of the Florida Panhandle, Big Bend, southwest study will focus on the short-term predictability Georgia, and Gulf coastal waters. In turn, of these dangerous storms, and will these supercells spawned dozens of investigate the problem of how to reduce the tornadoes. -
Aerial Rapid Assessment of Hurricane Damages to Northern Gulf Coastal Habitats
8786 ReportScience Title and the Storms: the USGS Response to the Hurricanes of 2005 Chapter Five: Landscape5 Changes The hurricanes of 2005 greatly changed the landscape of the Gulf Coast. The following articles document the initial damage assessment from coastal Alabama to Texas; the change of 217 mi2 of coastal Louisiana to water after Katrina and Rita; estuarine damage to barrier islands of the central Gulf Coast, especially Dauphin Island, Ala., and the Chandeleur Islands, La.; erosion of beaches of western Louisiana after Rita; and the damages and loss of floodplain forest of the Pearl River Basin. Aerial Rapid Assessment of Hurricane Damages to Northern Gulf Coastal Habitats By Thomas C. Michot, Christopher J. Wells, and Paul C. Chadwick Hurricane Katrina made landfall in southeast Louisiana on August 29, 2005, and Hurricane Rita made landfall in southwest Louisiana on September 24, 2005. Scientists from the U.S. Geological Survey (USGS) flew aerial surveys to assess damages to natural resources and to lands owned and managed by the U.S. Department of the Interior and other agencies. Flights were made on eight dates from August Introduction 27 through October 4, including one pre-Katrina, three post-Katrina, The USGS National Wetlands and four post-Rita surveys. The Research Center (NWRC) has a geographic area surveyed history of conducting aerial rapid- extended from Galveston, response surveys to assess Tex., to Gulf Shores, hurricane damages along the Ala., and from the Gulf coastal areas of the Gulf of of Mexico shoreline Mexico and Caribbean inland 5–75 mi Sea. Posthurricane (8–121 km). -
Hurricane Fifi and the 1974 Autumn Migration in El Salvador
condor, 82:212-218 @I The Cooper Ornithological Society 1980 HURRICANE FIFI AND THE 1974 AUTUMN MIGRATION IN EL SALVADOR WALTER A. THURBER ABSTRACT.-In the autumn of 1974 the migration pattern in El Salvador had several unusual features, too many to have been merely coincidental: 1) delayed arrival of certain early migrants whose appearance overlapped with that of later migrants; 2) unprecedented numbers of a few species; 3) the appearance of several rarely seen or previously unreported species; 4) exten- sion of winter ranges of a few species which was maintained for several years after. These events were closely associated with Hurricane Fifi (17-20 Sep- tember) and to a lesser extent with Hurricane Carmen (l-6 September). I attribute the unusual features of the 1974 migration to Hurricane Fifi (pos- sibly augmented by Carmen) after comparison of routes and schedules of early migrants with the route, dates, wind directions, and velocities of Fifi. I suggest that other hurricanes have affected and will affect migration through Middle America but that serious disruptions are probably rare and unpre- dictable. In the course of my 10 years of netting and METHODS AND SOURCES OF DATA banding birds in El Salvador, Central Amer- From my field notes and netting records I selected data ica, the fall of 1974 was exceptional for the which show the unusual nature of the 1974 migration. early migration pattern and for the arrival of For comparison I summarized relevant information for several uncommon and previously unre- other years as given by my notes and the literature. My field notes extend from 1966, my netting records from ported species. -
Hurricane Irma Storm Review
Hurricane Irma Storm Review November 11, 2018 At Duke Energy Florida, we power more than 4 million lives Service territory includes: . Service to 1.8 million retail customers in 35 counties . 13,000 square miles . More than 5,100 miles of transmission lines and 32,000 miles of distribution lines . Owns and operates nearly 9,500 MWs of generating capacity . 76.2% gas, 21% coal, 3% renewable, 0.2%oil, 2,400 MWs Purchased Power. 2 Storm Preparedness Activities Operational preparation is a year-round activity Coordination with County EOC Officials . Transmission & Distribution Systems Inspected and . Structured Engagement and Information Maintained Sharing Before, During and After Hurricane . Storm Organizations Drilled & Prepared . Coordination with county EOC priorities . Internal and External Resource Needs Secured . Public Communications and Outreach . Response Plan Tested and Continuously Improved Storm Restoration Organization Transmission Hurricane Distribution System Preparedness System Local Governmental Coordination 3 Hurricane Irma – Resources & Logistics Resources . 12,528 Total Resources . 1,553 pre-staged in Perry, Georgia . 91 line and vegetation vendors from 25 states . Duke Energy Carolinas and Midwest crews as well as resources from Texas, New York, Louisiana, Colorado, Illinois, Oklahoma, Minnesota, Maine and Canada . 26 independent basecamps, parking/staging sites Mutual Assistance . Largest mobilization in DEF history . Mutual Assistance Agreements, executed between DEF and other utilities, ensure that resources can be timely dispatched and fairly apportioned. Southeastern Electric Exchange coordinates Mutual Assistance 4 5. Individual homes RESTORATION 3. Critical Infrastructure 2. Substations 1. Transmission Lines 4. High-density neighborhoods 5 Hurricane Irma- Restoration Irma’s track northward up the Florida peninsula Restoration Summary resulted in a broad swath of hurricane and tropical Customers Peak Customers Outage storm force winds.