DOCSLIB.ORG

Overview of the Record Breaking 2005 Atlantic Hurricane Season Overview of the Record Breaking 2005

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text

Load more

NationalNational HurricaneHurricane ConferenceConference OverviewOverview ofof thethe RecordRecord BreakingBreaking 20052005 AtlanticAtlantic HurricaneHurricane SeasonSeason AprilApril 12,12, 20062006 MaxMax MayfieldMayfield andand StaffStaff NATIONALNATIONAL HURRICANEHURRICANE CENTERCENTER 2005 ATLANTIC HURRICANE SEASON STATISTICS MIN. MAX. DIRECT U.S. NAME DATES PRESS WINDS DAMAGE (MB) (MPH) DEATHS ($ million) TS ARLENE 8 - 13 JUN 989 70 1 minor TS BRET 28 - 30 JUN 1002 40 1 H CINDY 3 - 7 JUL 991 75 1 320 H DENNIS 4 - 13 JUL 930 150 (4) 42 2230 H EMILY 11 - 21 JUL 929 160 (5) 6 minor TS FRANKLIN 21 - 29 JUL 997 70 TS GERT 23 - 25 JUL 1005 45 TS HARVEY 2 - 8 AUG 994 65 H IRENE 4 - 18 AUG 970 105 (2) TS JOSE 22 - 23 AUG 998 60 6 H KATRINA 23 - 30 AUG 902 175 (5) 1200 75000 TS LEE 28 AUG - 2 SEP 1006 40 H MARIA 1 - 10 SEP 962 115 (3) H NATE 5 - 10 SEP 979 90 (1) 2005 ATLANTIC HURRICANE SEASON STATISTICS MIN. MAX. DIRECT U.S. NAME DATES PRESS WINDS DAMAGE (MB) (MPH) DEATHS ($ million) H OPHELIA 6 - 17 SEP 976 85 (1) 1 70 H PHILIPPE 17 - 24 SEP 985 80 (1) H RITA 18 - 26 SEP 895 180 (5) 7 10000 H STAN 1 - 5 OCT 977 80 (1) 80 ST UNNAMED 4 - 5 OCT 997 50 TS TAMMY 5 - 6 OCT 1001 50 minor H VINCE 8 - 11 OCT 988 75 (1) H WILMA 15 - 25 OCT 882 185 (5) 22 16800 TS ALPHA 22 - 24 OCT 998 50 26 H BETA 26 - 31 OCT 962 115 (3) TS GAMMA 14 - 21 NOV 1002 50 37 TS DELTA 22 - 28 NOV 980 70 H EPSILON 29 NOV - 8 DEC 981 85 TS ZETA 30 DEC - 6 JAN 994 65 SEASONSEASON HIGHLIGHTSHIGHLIGHTS •• MostMost activeactive AtlanticAtlantic hurricanehurricane seasonseason ofof recordrecord --28 28 stormsstormsdeveloped developed includingincluding 2727 namednamed tropicaltropical stormsstorms andand oneone subtropicalsubtropical storm.storm. ThisThis breaksbreaks thethe oldold recordrecord ofof 2121 setset inin 1933.1933. •• FifteenFifteentropical tropical stormsstorms becamebecame hurricaneshurricanes,, breakingbreaking thethe recordrecord ofof 1212 setset inin 1969.1969. •• SevenSevenof of thethe hurricaneshurricanes becamebecame majormajor hurricanes hurricanes.. ThisThis includedincluded thethe firstfirst timetime thatthat fourfour CategoryCategory 55 hurhurricanesricanes hadhad beenbeen observedobserved inin aa singlesingle AtlanticAtlantic seasonseason andand thethe firstfirst timetime thatthat fourfour majormajor hurricaneshurricanes hithit thethe UnitedUnited StatesStates inin oneone season.season. •• HurricaneHurricane WilmaWilmahad had thethe lowestlowest minimumminimum centralcentral pressurepressure everever observedobserved inin anan AtlanticAtlantic hurricanehurricane --882 882 mbmb.. TheThe centralcentral pressurepressure ofof WilmaWilma fellfell 8888 mbmb in in 1212 hours.hours. •• TheThe “Accumulated“Accumulated CycloneCyclone Energy”Energy” ( (ACE)ACE) forfor thethe seasonseason waswas 285%285% ofof medianmedian –– the the highesthighestvalue value ofof recordrecord forfor anan AtlanticAtlantic hurricanehurricane season.season. SEASONSEASON HIGHLIGHTSHIGHLIGHTS •• SevenSeven landfallslandfalls inin thethe UnitedUnited StStates,ates, includingincluding HurricaneHurricane Cindy,Cindy, DennisDennis,, KatrinaKatrina,, RitaRita,, andand WilmaWilmaalong along withwith TropicalTropical StormsStorms ArleneArlene andand Tammy.Tammy. HurricaneHurricane OpheliaOphelia alsoalso struckstruck thethe NorthNorth CarolinaCarolina coast,coast, althoughalthough thethe centercenter stayedstayed justjust offshore.offshore. •• DeathDeath tolltoll nearnear 1400,1400, includingincluding aroundaround 12001200 fromfrom KatrinaKatrina inin thethe UnitedUnited StatesStates -- the the deadliestdeadliest U.U. S.S. huhurricanerricane sincesince thethe PalmPalm Beach-LakeBeach-Lake OkeechobeeOkeechobee hurricanehurricane ofof 1928.1928. AdditiAdditionally,onally, aa largelarge areaarea ofof disturbeddisturbed weatherweather affectingaffecting CentralCentral AmericaAmerica atat thethe timetime ofof HurricaneHurricane StanStan maymay havehave causedcaused 1000-20001000-2000 deaths.deaths. •• TotalTotal damagedamage toto propertyproperty inin thethe UnitedUnited StatesStates estimatedestimated nearnear $104$104 billionbillion -- the the costliestcostliest U.U. S.S. hurrihurricanecane seasonseason ofof record.record. KatrinaKatrina causedcaused estimatedestimated damagedamage ofof $75$75 billion,billion, mmakingaking itit thethe costliestcostliest singlesingle hurricanehurricane inin U.U. S.S. history.history. •• TrackTrack forecastforecast verificationverification indicatesindicates thatthat thethe averageaverage forecastforecast errorserrors forfor 12-7212-72 hrhr werewere nearnear recordrecord lowlow levels.levels. 6 7575 mphmph 991991 mbmb 5 HurricaneHurricane CindyCindy 3 33 -- 7 7 JulyJuly 20052005 WSRWSR--88D88D ShowsShows CindyCindy WasWas AA HurricaneHurricane NearNear LandfallLandfall 70-74 kt winds at 8000 ft suggests 65 kt at the surface HurricaneHurricane DennisDennis 44 -- 13 13 JulyJuly 20052005 150150 mphmph 930930 mbmb Hurricane Dennis Landfall DennisDennis TrackTrack ForecastsForecasts 12001200 UTCUTC 66 JulyJuly DennisDennis’’ss DamageDamage Jennifer Petrandis HurricaneHurricane KatrinaKatrina 2222 -- 30 30 AugustAugust 20052005 175175 mphmph 902902 mbmb ImagesImages ofof KatrinaKatrina August 23 August 24 August 25 August 26 August 27 August 28 August 29 SatelliteSatellite LifeLife CycleCycle ofof KatrinaKatrina New Orleans Interstate 10 17th Street Levee Breach Lakeview Orleans Parish Orleans Parish Orleans Parish St Rita’s Nursing Home, St Bernard Parish NOAA “SLOSH” Maximum Envelope of Water Composite of Category 4 Storms Moving N at 15 mph NOAA SLOSH Storm Surge Data First Provided to New Orleans Area in 1989. NOAA first provided guidance for forecasting storm surge along the open U.S. Gulf and east coasts from the precursor to SLOSH known as “SPLASH”, in 1972. Levee overtopping in Katrina Picture by Don McCrosky, Entergy’s Michoud Power Plant Manager Pre Katrina Post Click to edit Master title styleKatrina MainlandClick to edit Master subtitle style Mississippi U.S. Department of the Interior U.S. Geological Survey Pre Katrina Post Katrina Click to edit Master title style Click to edit Master subtitle style U.S. Department of the Interior U.S. Geological Survey TheThe HancockHancock CountyCounty EOCEOC waswas floodedflooded withwith 22 feetfeet ofof KatrinaKatrina’’ss stormstorm surge.surge. Interstate 10 & SR 603, Waveland Waveland Debris Line Gulfport Biloxi Before and After Katrina: Mississippi Coast Before and After Katrina: Mississippi Coast Pre Ivan Dauphin Island, AL Post Ivan Click to edit Master title style Post Katrina Click to edit Master subtitle style U.S. Department of the Interior U.S. Geological Survey KatrinaKatrina TrackTrack ForecastsForecasts 12001200 UTCUTC 2424 AugustAugust KatrinaKatrina TrackTrack ForecastsForecasts 00000000 UTCUTC 2727 AugustAugust HURRICANE HOTLINE at NHC Andy Newman Andy Newman Michael Brown, former director of the Federal Michael Brown, former director of the Federal Emergency Emergency Management Agency updated on Management Agency reviews projected-Hurricane Dennis Hurricane Dennis track with Brock Long, Bill O’Brien tidal surge levels for the Gulf coast with Brock Long and and Rodney Rose, Saturday, July 9, 2005 HLT Matthew Green, Saturday, July 9, 2005. Melissa Ann Janssen/FEMA White House Photo FEMA Hurricane Liaison Team Leader Brock Long and President George W. Bush is handed a map by Deputy Chief NWS hydrometeorologist Keith Stellman keep FEMA of Staff Joe Hagin, center, during a video teleconference with and affected States informed. federal and state emergency management organizations on hurricane Katrina from his Crawford, Texas ranch on Sunday August 28, 2005. DopplerDoppler WindWind ProfileProfile -- 2828 AugAug 1725-18201725-1820 UTCUTC 12 km SW NE Flight Level 1 km DopplerDoppler WindWind ProfileProfile -- 2929 AugAug 1000-10401000-1040 UTCUTC 12 km W NE Flight Level 1 km DramaticDramatic 12-h12-h changechange inin KatrinaKatrina WindWind Profile:Profile: CAT5-CAT3CAT5-CAT3 14 8585 mphmph 976976 mbmb HurricaneHurricane OpheliaOphelia 66 -- 17 17 SeptemberSeptember 20052005 OpheliaOphelia TrackTrack ForecastsForecasts 12001200 UTCUTC 99 SeptemberSeptember 43 175175 mphmph 897897 mbmb HurricaneHurricane RitaRita 1818 -- 26 26 SeptemberSeptember 20052005 SatelliteSatellite LifeLife CycleCycle ofof RitaRita Hurricane Rita Passing the Florida Keys Hurricane Rita Landfall NASA NASA Holly Beach, LA University of New Orleans before Hurricane Rita after Pictures by Rob Perillo RitaRita TrackTrack ForecastsForecasts 12001200 UTCUTC 1919 SeptemberSeptember 175175 mphmph 882882 mbmb HurricaneHurricane WilmaWilma 1515 -- 25 25 OctoberOctober 20052005 SatelliteSatellite LifeLife CycleCycle ofof WilmaWilma WilmaWilma’’ss DamageDamage Key West Marathon Marathon Marathon WilmaWilma TrackTrack ForecastsForecasts 12001200 UTCUTC 1919 OctoberOctober HowHow werewere thethe forecasts?forecasts? Errors cut in half in 15 years No progress with intensity? HowHow dodo wewe changechange thethe outcome?outcome? JHTJHT WebsiteWebsite www.nhc.noaa.gov/jht/index.shtml .
Recommended publications
  • Wind Speed-Damage Correlation in Hurricane Katrina

    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.
  • 8.1 Recent Results from Noaa's Hurricane Intensity Forecast Experiment (Ifex)

    8.1 Recent Results from Noaa's Hurricane Intensity Forecast Experiment (Ifex)

    8.1 RECENT RESULTS FROM NOAA'S HURRICANE INTENSITY FORECAST EXPERIMENT (IFEX) Frank Marks1 NOAA/AOML, Hurricane Research Division, Miami, FL 1. INTRODUCTION project in July 2005, the NRL P-3 during the NSF- sponsored RAINEX project in August and September In 2005 and 2006, NOAA's Hurricane Research 2005, and the NASA DC-8 during the NASA African Division (HRD), part of the Atlantic Oceanographic and Monsoon Multidisciplinary Analyses (NAMMA) in Meteorological Laboratory, began a multi-year September 2006. experiment called the Intensity Forecasting Experiment The IFEX goals advanced during 2005 and 2006 (IFEX). Developed in partnership with NOAA's National hurricane seasons are briefly described below. Centers for Environmental Prediction’s (NCEP) Environmental Modeling Center (EMC) and National a) GOAL 1: Observations of TCs at various lifecycle Hurricane Center (NHC), Aircraft Operations Center stages (AOC), and National Environmental Satellite Data The distribution of flights stratified by TC lifecycle Information Service (NESDIS), IFEX is intended to stage for 2005 and 2006 indicated roughly 20% of the improve the prediction of hurricane intensity change by flights were in TCs either in the depression or pre- • collecting observations that span the TC lifecycle in depression stage, a much larger proportion compared a variety of environments; with previous years. Many of these observations were • developing and refining measurement technologies collected as a part of the frequent-monitoring that provide improved real-time monitoring of experiment: tropical cyclone (TC) intensity, structure, and environment; and 1) Frequent-monitoring experiment • improving our understanding of the physical This experiment was designed to provide airborne processes important in intensity change for a TC at Doppler data sets at all stages of a TC’s lifecycle that all stages of its lifecycle.
  • Hurricanes Katrina and Rita – Louisiana's Response And

    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.
  • Hurricane Andrew and Insurance: the Enduring Impact of An

    Hurricane Andrew and Insurance: the Enduring Impact of An

    HURRICANE ANDREW AND INSURANCE: THE ENDURING IMPACT OF AN HISTORIC STORM AUGUST 2012 Lynne McChristian Florida Representative, Insurance Information Institute (813) 480-6446 [email protected] Florida Office: Insurance Information Institute, 4775 E. Fowler Avenue, Tampa, FL 33617 INTRODUCTION Hurricane Andrew hit Florida on August 24, 1992, and the tumult for the property insurance market there has not ceased in the 20 years since. Andrew was the costliest natural disaster in U.S. history in terms of insurance payouts to people whose homes, vehicles and businesses were damaged by the storm when it struck Florida and Louisiana in 1992. The insurance claims payout totaled $15.5 billion at the time ($25 billion in 2011 dollars). Even today, the storm is the second costliest natural disaster; Hurricane Katrina, which hit in 2005, is the most costly natural disaster. But the cost is only part of Andrew’s legacy. It also revealed that Florida’s vulnerability to hurricanes had been seriously underestimated. That reality was not lost on other coastal states nor on the insurance industry, which reassessed their exposure to catastrophic storm damage in the aftermath of Andrew. The event brought a harsh awakening and forced individuals, insurers, legislators, insurance regulators and state governments to come to grips with the necessity of preparing both financially and physically for unprecedented natural disasters. Many of the insurance market changes that have occurred nationally over the last two decades can be traced to the wakeup call delivered by Hurricane Andrew. These include: . More carefully managed coastal exposure. Larger role of government in insuring coastal risks.
  • Central America: Hurricane Stan "Tropical Storm "Stan" Turned Into a Hurricane (Category OCHA Situation Report No

    Central America: Hurricane Stan "Tropical Storm "Stan" Turned Into a Hurricane (Category OCHA Situation Report No

    Central America: Hurricane Stan "Tropical storm "Stan" turned into a hurricane (Category OCHA Situation Report No. 2 One, Saffir-Simpson scale) on 4 October 2005 and is Issued 7 October 2005 affecting Mexico and Central America." GLIDE: TC-2005-000173-SLV International Boundary SITUATION Neighouring Country Floods and landslides: Affected Country Heavy rains caused flooding, deadly mud- and rockslides. National Capital People evacuated to shelters or relatives', friends' houses. Wind (mph) 50-100 Damage to crops. Roads in main cities closed due to 25-50 Gulf of Mexico landslides. Rains expected in the next 48 hours. Volcanic activity: Largest volcano in El Salvador, Ilamatepec, erupted on 1st and 3rd Oct., emitting gases, smoke and ash. 13 tremors registered in last 3 days. Potential mudflows. 3 Oct 4 Oct ACTION Government announced USD 11.7 million to cover the emergency requirements and is negotiating the reorientation 2 Oct of USD 43 million loan. Mexico 1 Oct Following the request of the Government, UN-OCHA released USD 30,000 from its Emergency Grant Reserve and USD 30,000 from the Norwegian Grant Reserve in MMEEXXIICCOO 5 Oct OCHA Trust Fund for Disaster Relief. Joint UN Inter-agency appeal of USD 7,895,913 issued. E Z El I Salvador 49L killed Geog raph ic Co ord in ate System s: WG S 19 84. E Ma p data so urce: U N Ca rtographic Se ction, UNISYS. 32B ,045 evacuated 309 shelters Cod e: OC HA/GVA - 200 5/015 1 66,320 population at risk from mudslides (13,543 rural, 288 urban families) GGUUAATTEEMMAALLAA 94,165 population at risk from flooding (13,438 rural, 5,395 urban families) Guatemala HONDURAS EELL S SAALL V VAADDOORR PACIFIC OCEAN Ilamatepec volcano San Salvador NICARAGUA 5 killed 4,000 evacuated 0 100 200 300 400 Km Created by the ReliefWeb Map Centre Office for the Coordination of H um anitarian Affairs The names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations.
  • Investigation and Prediction of Hurricane Eyewall

    Investigation and Prediction of Hurricane Eyewall

    INVESTIGATION AND PREDICTION OF HURRICANE EYEWALL REPLACEMENT CYCLES By Matthew Sitkowski A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Atmospheric and Oceanic Sciences) at the UNIVERSITY OF WISCONSIN-MADISON 2012 Date of final oral examination: 4/9/12 The dissertation is approved by the following members of the Final Oral Committee: James P. Kossin, Affiliate Professor, Atmospheric and Oceanic Sciences Daniel J. Vimont, Professor, Atmospheric and Oceanic Sciences Steven A. Ackerman, Professor, Atmospheric and Oceanic Sciences Jonathan E. Martin, Professor, Atmospheric and Oceanic Sciences Gregory J. Tripoli, Professor, Atmospheric and Oceanic Sciences i Abstract Flight-level aircraft data and microwave imagery are analyzed to investigate hurricane secondary eyewall formation and eyewall replacement cycles (ERCs). This work is motivated to provide forecasters with new guidance for predicting and better understanding the impacts of ERCs. A Bayesian probabilistic model that determines the likelihood of secondary eyewall formation and a subsequent ERC is developed. The model is based on environmental and geostationary satellite features. A climatology of secondary eyewall formation is developed; a 13% chance of secondary eyewall formation exists when a hurricane is located over water, and is also utilized by the model. The model has been installed at the National Hurricane Center and has skill in forecasting secondary eyewall formation out to 48 h. Aircraft reconnaissance data from 24 ERCs are examined to develop a climatology of flight-level structure and intensity changes associated with ERCs. Three phases are identified based on the behavior of the maximum intensity of the hurricane: intensification, weakening and reintensification.
  • Hurricane Irma Storm Review

    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.
  • A FAILURE of INITIATIVE Final Report of the Select Bipartisan Committee to Investigate the Preparation for and Response to Hurricane Katrina

    A FAILURE of INITIATIVE Final Report of the Select Bipartisan Committee to Investigate the Preparation for and Response to Hurricane Katrina

    A FAILURE OF INITIATIVE Final Report of the Select Bipartisan Committee to Investigate the Preparation for and Response to Hurricane Katrina U.S. House of Representatives 4 A FAILURE OF INITIATIVE A FAILURE OF INITIATIVE Final Report of the Select Bipartisan Committee to Investigate the Preparation for and Response to Hurricane Katrina Union Calendar No. 00 109th Congress Report 2nd Session 000-000 A FAILURE OF INITIATIVE Final Report of the Select Bipartisan Committee to Investigate the Preparation for and Response to Hurricane Katrina Report by the Select Bipartisan Committee to Investigate the Preparation for and Response to Hurricane Katrina Available via the World Wide Web: http://www.gpoacess.gov/congress/index.html February 15, 2006. — Committed to the Committee of the Whole House on the State of the Union and ordered to be printed U. S. GOVERNMEN T PRINTING OFFICE Keeping America Informed I www.gpo.gov WASHINGTON 2 0 0 6 23950 PDF For sale by the Superintendent of Documents, U.S. Government Printing Office Internet: bookstore.gpo.gov Phone: toll free (866) 512-1800; DC area (202) 512-1800 Fax: (202) 512-2250 Mail: Stop SSOP, Washington, DC 20402-0001 COVER PHOTO: FEMA, BACKGROUND PHOTO: NASA SELECT BIPARTISAN COMMITTEE TO INVESTIGATE THE PREPARATION FOR AND RESPONSE TO HURRICANE KATRINA TOM DAVIS, (VA) Chairman HAROLD ROGERS (KY) CHRISTOPHER SHAYS (CT) HENRY BONILLA (TX) STEVE BUYER (IN) SUE MYRICK (NC) MAC THORNBERRY (TX) KAY GRANGER (TX) CHARLES W. “CHIP” PICKERING (MS) BILL SHUSTER (PA) JEFF MILLER (FL) Members who participated at the invitation of the Select Committee CHARLIE MELANCON (LA) GENE TAYLOR (MS) WILLIAM J.
  • Federal Disaster Assistance After Hurricanes Katrina, Rita, Wilma, Gustav, and Ike

    Federal Disaster Assistance After Hurricanes Katrina, Rita, Wilma, Gustav, and Ike

    Federal Disaster Assistance After Hurricanes Katrina, Rita, Wilma, Gustav, and Ike Updated February 26, 2019 Congressional Research Service https://crsreports.congress.gov R43139 Federal Disaster Assistance After Hurricanes Katrina, Rita, Wilma, Gustav, and Ike Summary This report provides information on federal financial assistance provided to the Gulf States after major disasters were declared in Alabama, Florida, Louisiana, Mississippi, and Texas in response to the widespread destruction that resulted from Hurricanes Katrina, Rita, and Wilma in 2005 and Hurricanes Gustav and Ike in 2008. Though the storms happened over a decade ago, Congress has remained interested in the types and amounts of federal assistance that were provided to the Gulf Coast for several reasons. This includes how the money has been spent, what resources have been provided to the region, and whether the money has reached the intended people and entities. The financial information is also useful for congressional oversight of the federal programs provided in response to the storms. It gives Congress a general idea of the federal assets that are needed and can be brought to bear when catastrophic disasters take place in the United States. Finally, the financial information from the storms can help frame the congressional debate concerning federal assistance for current and future disasters. The financial information for the 2005 and 2008 Gulf Coast storms is provided in two sections of this report: 1. Table 1 of Section I summarizes disaster assistance supplemental appropriations enacted into public law primarily for the needs associated with the five hurricanes, with the information categorized by federal department and agency; and 2.
  • Hurricane & Tropical Storm

    Hurricane & Tropical Storm

    5.8 HURRICANE & TROPICAL STORM SECTION 5.8 HURRICANE AND TROPICAL STORM 5.8.1 HAZARD DESCRIPTION A tropical cyclone is a rotating, organized system of clouds and thunderstorms that originates over tropical or sub-tropical waters and has a closed low-level circulation. Tropical depressions, tropical storms, and hurricanes are all considered tropical cyclones. These storms rotate counterclockwise in the northern hemisphere around the center and are accompanied by heavy rain and strong winds (NOAA, 2013). Almost all tropical storms and hurricanes in the Atlantic basin (which includes the Gulf of Mexico and Caribbean Sea) form between June 1 and November 30 (hurricane season). August and September are peak months for hurricane development. The average wind speeds for tropical storms and hurricanes are listed below: . A tropical depression has a maximum sustained wind speeds of 38 miles per hour (mph) or less . A tropical storm has maximum sustained wind speeds of 39 to 73 mph . A hurricane has maximum sustained wind speeds of 74 mph or higher. In the western North Pacific, hurricanes are called typhoons; similar storms in the Indian Ocean and South Pacific Ocean are called cyclones. A major hurricane has maximum sustained wind speeds of 111 mph or higher (NOAA, 2013). Over a two-year period, the United States coastline is struck by an average of three hurricanes, one of which is classified as a major hurricane. Hurricanes, tropical storms, and tropical depressions may pose a threat to life and property. These storms bring heavy rain, storm surge and flooding (NOAA, 2013). The cooler waters off the coast of New Jersey can serve to diminish the energy of storms that have traveled up the eastern seaboard.
  • ANNUAL SUMMARY Atlantic Hurricane Season of 2005

    ANNUAL SUMMARY Atlantic Hurricane Season of 2005

    MARCH 2008 ANNUAL SUMMARY 1109 ANNUAL SUMMARY Atlantic Hurricane Season of 2005 JOHN L. BEVEN II, LIXION A. AVILA,ERIC S. BLAKE,DANIEL P. BROWN,JAMES L. FRANKLIN, RICHARD D. KNABB,RICHARD J. PASCH,JAMIE R. RHOME, AND STACY R. STEWART Tropical Prediction Center, NOAA/NWS/National Hurricane Center, Miami, Florida (Manuscript received 2 November 2006, in final form 30 April 2007) ABSTRACT The 2005 Atlantic hurricane season was the most active of record. Twenty-eight storms occurred, includ- ing 27 tropical storms and one subtropical storm. Fifteen of the storms became hurricanes, and seven of these became major hurricanes. Additionally, there were two tropical depressions and one subtropical depression. Numerous records for single-season activity were set, including most storms, most hurricanes, and highest accumulated cyclone energy index. Five hurricanes and two tropical storms made landfall in the United States, including four major hurricanes. Eight other cyclones made landfall elsewhere in the basin, and five systems that did not make landfall nonetheless impacted land areas. The 2005 storms directly caused nearly 1700 deaths. This includes approximately 1500 in the United States from Hurricane Katrina— the deadliest U.S. hurricane since 1928. The storms also caused well over $100 billion in damages in the United States alone, making 2005 the costliest hurricane season of record. 1. Introduction intervals for all tropical and subtropical cyclones with intensities of 34 kt or greater; Bell et al. 2000), the 2005 By almost all standards of measure, the 2005 Atlantic season had a record value of about 256% of the long- hurricane season was the most active of record.
  • A Classification Scheme for Landfalling Tropical Cyclones

    A Classification Scheme for Landfalling Tropical Cyclones

    A CLASSIFICATION SCHEME FOR LANDFALLING TROPICAL CYCLONES BASED ON PRECIPITATION VARIABLES DERIVED FROM GIS AND GROUND RADAR ANALYSIS by IAN J. COMSTOCK JASON C. SENKBEIL, COMMITTEE CHAIR DAVID M. BROMMER JOE WEBER P. GRADY DIXON A THESIS Submitted in partial fulfillment of the requirements for the degree Master of Science in the Department of Geography in the graduate school of The University of Alabama TUSCALOOSA, ALABAMA 2011 Copyright Ian J. Comstock 2011 ALL RIGHTS RESERVED ABSTRACT Landfalling tropical cyclones present a multitude of hazards that threaten life and property to coastal and inland communities. These hazards are most commonly categorized by the Saffir-Simpson Hurricane Potential Disaster Scale. Currently, there is not a system or scale that categorizes tropical cyclones by precipitation and flooding, which is the primary cause of fatalities and property damage from landfalling tropical cyclones. This research compiles ground based radar data (Nexrad Level-III) in the U.S. and analyzes tropical cyclone precipitation data in a GIS platform. Twenty-six landfalling tropical cyclones from 1995 to 2008 are included in this research where they were classified using Cluster Analysis. Precipitation and storm variables used in classification include: rain shield area, convective precipitation area, rain shield decay, and storm forward speed. Results indicate six distinct groups of tropical cyclones based on these variables. ii ACKNOWLEDGEMENTS I would like to thank the faculty members I have been working with over the last year and a half on this project. I was able to present different aspects of this thesis at various conferences and for this I would like to thank Jason Senkbeil for keeping me ambitious and for his patience through the many hours spent deliberating over the enormous amounts of data generated from this research.