Economic Impact of Hurricanes Harvey & Irma
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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. -
Monitoring Hurricane Rita Inland Storm Surge
Monitoring Hurricane Rita Inland Storm Surge 27 ARKANSAS 96 49 165 MISSISSIPPI LOUISIANA LC2b LA3 TEXAS LC3 (8.0) 10 LC4 LOUISIANA LC2a (10.8) LA2 Lafayette ALABAMA Lake Charles 90 Beaumont Orange (8.9) (4.5) TEXAS B1 10 B19b LA8 LA7 LC6b 14 167 LC5 (5.3) (4.2) Study Area B20 Abbeville B19a LC6a LF3 (5.0) (6.9) 27 B10 Port 27 (9.5) Arthur LC7 LC8b Grand LF5 B12 Sabine Calcasieu Lake Lake (11.2) Lake (10.1) LC12 LC9 (7.4) Gulf of Mexico (7.5) LC8a B15b LC11 (13.8)LC10 LA12 LA11 LA9b Sabine LC13 82 (13.3) LA9 82 White Lake (10.7) Pass (9.4) (10.6) (14.9) (14.8) (14.7) LA10 (6.6) (8.7) Vermilion Gulf of Mexico - Barometric-pressure sensors Lake - Water-level sensors 0 5 10 20 Miles - Co-located barometric and water-level sensor A B 0 5 10 20 Kilometers (9.4) C Hurricane Rita storm track obtained from the NOAA National Hurricane Center - Maximum surge elevation (feet above NAVD88) Map showing path of Hurricane Rita and study area. Map showing locations of storm-surge sensors in southwestern Louisiana and southeastern Texas. Water-level and barometric-pressure sensor. A Mobile Network of Storm-Surge Sensors Recovering the Sensors As Hurricane Rita approached the Texas and Louisiana coasts (A), Hurricane Rita made landfall early on the U.S. Geological Survey deployed an experimental water-level and the morning of September 24, 2005. Of barometric-pressure gage network to record the magnitude, extent, the 34 water-level sensors, significant and timing of inland hurricane storm surge and coastal flooding. -
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. -
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. -
Comparison of Destructive Wind Forces of Hurricane Irma with Other Hurricanes Impacting NASA Kennedy Space Center, 2004-2017
Comparison of Destructive Wind Forces of Hurricane Irma with Other Hurricanes Impacting NASA Kennedy Space Center, 2004 - 2017 Presenter: Mrs. Kathy Rice Authors KSC Weather: Dr. Lisa Huddleston Ms. Launa Maier Dr. Kristin Smith Mrs. Kathy Rice NWS Melbourne: Mr. David Sharp NOT EXPORT CONTROLLED This document has been reviewed by the KSC Export Control Office and it has been determined that it does not meet the criteria for control under the International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR). Reference EDR Log #: 4657, NASA KSC Export Control Office, (321) 867-9209 1 Hurricanes Impacting KSC • In September 2017, Hurricane Irma produced sustained hurricane force winds resulting in facility damage at Kennedy Space Center (KSC). • In 2004, 2005, and 2016, hurricanes Charley, Frances, Jeanne, Wilma, and Matthew also caused damage at KSC. • Destructive energies from sustained wind speed were calculated to compare these hurricanes. • Emphasis is placed on persistent horizontal wind force rather than convective pulses. • Result: Although Hurricane Matthew (2016) provided the highest observed wind speed and greatest kinetic energy, the destructive force was greater from Hurricane Irma. 2 Powell & Reinhold’s Article 2007 • Purpose: “Broaden the scientific debate on how best to describe a hurricane’s destructive potential” • Names the following as poor indicators of a hurricane’s destructive potential • Intensity (Max Sustained Surface Winds): Provides a measure to compare storms, but does not measure destructive potential since it does not account for storm size. • The Saffir-Simpson scale: Useful for communicating risk to individuals and communities, but is only a measure of max sustained winds, again, not accounting for storm size. -
Improvement of Hurricane Risk Perceptions: Re-Analysis of a Hurricane Damage Index and Development of Spatial Damage Assessments
Improvement of hurricane risk perceptions: re-analysis of a hurricane damage index and development of spatial damage assessments Sandra N. Maina Academic Affiliation, Fall 2011: Senior, Florida Institute of Technology SOARS® Summer 2011 Science Research Mentor: James Done, Cindy Bruyere Writing and Communication Mentor: Cody Phillips ABSTRACT Implementation of potential damage assessment tools in hurricane-prone areas is an essential aspect of communicating accurate hurricane risk information. Several indices currently exist (e.g., Saffir-Simpson Hurricane Wind Scale) that effectively communicate storm strength; however, they are unable to quantify potential damage. The recently developed Maina Hurricane Index (MHI) addressed this deficiency and used a hurricane‟s central minimum pressure and radius of hurricane-force winds to create damage forecasts. The MHI was developed by analyzing data from 13 historical storms – a small sample size limited by the availability of storm size data. This work revisited the MHI using a larger data set, and results showed that central pressure is the best indicator of potential damage. By creating a single damage value per storm, the MHI aids in the decision-making of government and private agencies such as emergency managers, yet it does not convey storm impacts on individuals within a community. In response, this study also developed a methodology to generate spatial damage assessments that illustrate the relative damage distribution across a storm‟s path. A swath of maximum winds was first generated using a parametric wind field model, then translated to damage using a function based on wind speed and a measure of the directional change in wind. Through the ability to forecast both net damage of land falling storms and the distribution of damage across the storm‟s path, individual perceptions of hurricane risk can be unified to make way for safer preparation and evacuation decisions. -
Hurricane Rita Rapid Response Wind Water Line Report – Louisiana Task Order 447 February 28, 2006 (Final) Hazard Mitigation Technical Assistance Program Contract No
Hurricane Rita Rapid Response Wind Water Line Report – Louisiana Task Order 447 February 28, 2006 (Final) Hazard Mitigation Technical Assistance Program Contract No. EMW-2000-CO-0247 Task Order 447 Hurricane Rita Rapid Response Wind Water Line (WWL) Data Collection – Louisiana FEMA-1607-DR-LA Final Report February 28, 2006 Submitted to: Federal Emergency Management Agency Region VI Denton, TX Prepared by: URS Group, Inc. 200 Orchard Ridge Drive Suite 101 Gaithersburg, MD 20878 HMTAP Task Order 447 February 28, 2006 Table of Contents Abbreviations and Acronyms ---------------------------------------------------------------------------------------------ii Glossary of Terms----------------------------------------------------------------------------------------------------------iii Background ------------------------------------------------------------------------------------------------------------------ 1 Overview of Impacts in Louisiana--------------------------------------------------------------------------------------- 2 Purpose ----------------------------------------------------------------------------------------------------------------------- 5 Methodology ----------------------------------------------------------------------------------------------------------------- 8 Findings and Observations----------------------------------------------------------------------------------------------19 Conclusions -----------------------------------------------------------------------------------------------------------------23 Appendices Appendix -
Hurricane Rita Vs. Laura National Weather Center Meteorologist on the Catastrophic Impact Laura Had on Beci’S Service Territory
Date: September 15, 2020 Contact: Danielle Tilley, Communications Specialist Phone: (337) 463-6221 office (337) 463-2809 fax Hurricane Rita vs. Laura National Weather Center Meteorologist on the Catastrophic Impact Laura Had on BECi’s Service Territory DeRidder — By Cheré Coen - As Hurricane Laura approached the Louisiana coast on Aug. 26, emergency officials urged evacuations because of a possible massive storm surge that could flood Lake Charles and surrounding areas. Because of the threat of flooding at the National Weather Service office, Warning Coordination Meteorologist Roger Erickson headed to an emergency operations center located near the Lake Charles Civic Center. Erickson and others who rode out the storm there in the early hours of Aug. 27 wore masks and social distanced themselves in various offices because of COVID-19, Erickson explained. Erickson landed in a small office on the second floor. “After midnight, I heard creaking sounds behind me like someone was in a rocking chair,” he said. “At first it was once every 10 seconds, then every five seconds, then every second. My boss arrived and he heard it too. We figured that the exterior wall and windows were breathing in and out, trying to blow out.” Not long after, the building’s water ceased, creating unsanitary conditions and causing the air conditioner to fail. “Now, I’m in a room getting hot, walls and windows are creaking,” he related. “There’s no water. Three minutes later, I’m feeling nauseated. I noticed everything on the table was shaking. I thought I was in an earthquake. The whole room was shaking.” What Erickson felt was the result of a Category 4 hurricane blasting into the area with 150 mile-per-hour winds, the strongest hurricane to hit Louisiana since the 1850s. -
Hurricane Irma At-A-Glance
2018 FEDERAL POLICY BRIEF EMERGENCY MANAGEMENT: HELP FLORIDA RECOVER AND REBUILD HURRICANE IRMA AT-A-GLANCE The following is an excerpt taken from FAC’s 2017 Hurricane Summit Program which was held in November of 2017 to review and assess the impacts of Hurricane Irma and identify a path to recovery for Florida’s counties. For more information on the data depicted in the following infographs please contact: Eric Poole at [email protected],Casey Perkins at [email protected] or Robert Brown at [email protected] Florida Association of Counties ∙ 100 South Monroe Street ∙ Tallahassee, Florida 32301 ∙ www.fl-counties.com Hurricane Evacuation: Lessons Learned and What You Need to Know (continued) Hurricane Irma was the most powerful Atlantic Ocean hurricane in recorded history. By multiple accounts, the storm was also directly responsible for the largest mass exodus in U.S. history, with nearly 7 million people across Florida, Georgia, and South Carolina being asked to evacuate their homes. According to Florida’s Department of Emergency Management (DEM), nearly 6.8 million Floridians evacuated their homes in the lead up to Hurricane Irma, “beating 2005’s Houston-area Hurricane Rita exit by millions.” Media outlets described police going door to door “telling people to leave to avoid life-threatening rains, winds, and flooding,” as well as “large traffic jams on Interstates 95 and 75 and the Florida Turnpike.” Additionally, the Federal Aviation Administration reported that Miami’s traffic controllers handled 11,500 flights on the Thursday before the storm compared to 8,800 one week prior. -
Hurricane Rita September 20–24, 2005 Situation Paper
Hurricane Rita September 20–24, 2005 Situation Paper ABOVE: Hurricane Rita on Sept. 21, 2005 Prepared by Crawford & Company www.crawfordandcompany.com September 28, 2005 Information in this briefing is drawn from a variety of sources. Every effort has been made to give the appropriate credit or attribution. The information contained herein is accurate to the best of our knowledge at the time. Critical business decisions should not rely solely upon this information, but rather, should be made only after facts can be verified independently of our report. Rita’s position in the 2005 Atlantic hurricane season The 17th named tropical storm of the season; the ninth hurricane; the fifth major hurricane; the second category 5 hurricane. Source: AccuWeather.com Pre-landfall intensity Rita was the strongest measured hurricane to enter the Gulf of Mexico and the third most intense hurricane ever recorded in the Atlantic Basin. On September 21 at 11:00 p.m. EDT (300 GMT), the National Hurricane Center reported Rita’s sustained winds at 175 mph (280 km/h) with an estimated minimum pressure of 897 millibars. Landfall facts When: September 24, 2005, at 03:38 EDT (07:38 GMT) Where: Sabine Pass, Texas, and Johnson’s Bayou, Louisiana. Strength: Category 3 hurricane with windspeeds of 120 mph (190 km/h) and a storm surge of 10 feet (3 m). (On Tuesday, September 20, Hurricane Rita moved through the Florida Straits as a category two storm, causing little damage to south Florida or the Florida Keys.) Deaths As of 11:00 pm EDT on September 26 (0300 GMT September 27), six deaths have been directly attributed to Rita. -
The Flooding of Hurricane Ivan: How Far Ahead Can We Predict?
P1.7 THE FLOODING OF HURRICANE IVAN: HOW FAR AHEAD CAN WE PREDICT? Michael P. Erb*, Douglas K. Miller National Environmental Modeling and Analysis Center University of North Carolina – Asheville, Asheville, North Carolina 1. INTRODUCTION will be modeled using the Weather Research and Forecasting (WRF) Model. Naturally, since On September 17th 2004, Hurricane Ivan (by this is only a case study, the results found here then a tropical depression) began making its will not answer the question in a general sense. way along the western edge of North Carolina, But it is hoped, at the very least, that they should threatening to bring a deluge of rainfall to give interested parties a better understanding of regions surrounding the Appalachian Mountains. the problem at hand. Many of these places had been flooded by Another reason for this research is that it Hurricane Frances only two weeks before and, ties in with the goals of the Renaissance still not fully recovered, feared a repeat of those Computing Institute (RENCI), an organization events. All indicators pointed to Ivan being on based in North Carolina which is dedicated to the same scale as Frances, and forecasters solving complex, multidisciplinary problems that called for heavy rain and yet more flooding. People there, understandably, prepared for the worst. (Figures 1 and 2 show the tracks of Hurricanes Ivan and Francis.) What actually happened over the next few days turned out to be on a somewhat smaller scale. The rain did come, but not to the extent forecasters had predicted. In places where Frances had dumped 20 or more inches of rain – Mount Mitchell, NC, for instance – Ivan brought 15 or less. -
Hurricane Katrina Storm Surge Modeling and Validation
Experimental Storm Surge Simulations for Hurricane Katrina Hassan Mashriqui, Ph.D., P.E. Paul Kemp, Ph.D. Ivor van Heerden, Ph.D. Young Yang, William Scullin, Rob Cunningham, Emily Hyfield, DeWitt Braud Hurricane Center, Louisiana State University Baton Rouge, Louisiana 60th Interdepartmental Hurricane Conference Mobile, Alabama, 22 March 2006. ADCIRC Modeling Team (Collaborators) School of the Coast & Environment ADCIRC – 2D Hydrodynamic Model Input & Output - Hurricane Wind Velocities – input - Atmospheric Pressure – input - Location of the “eye” – input ------------------------------------------------------- • Surge or Sea Surface Elevation – output • Speed or Velocity (Currents) – output West Atlantic/Gulf Coast Domain Forecasting (ADCIRC) • Track, Central Pressure, Maximum Sustained Winds from NHC Advisory • Interpolation based on Unisys Inc. Data (0.5 hr) • Run Planetary Boundary Layer Wind Model (1.5 hr) • Initiate ADCIRC with Storm Near Jamaica • Simulate 8 days on 240 processors in SuperMike (2.5 hr) • Post-Processing (0.5 to 1.0 hr) • Develop Maximum Storm Surge Graphic with SMS and Animation • Submit Products to OEP and Post on www.hurricane.lsu.edu/floodprediction (0.5 to 1.0 hr) • Total time elapsed 5 to 8 hr SuperMike – 1024 CPUs 2005 - Storms Simulated at LSU * Hurricane Wilma * Hurricane Rita * Hurricane Katrina * Hurricane Emily * Hurricane Dennis * Tropical Storm Cindy * Tropical Storm Arlene Hurricane Katrina 29 August 2005 NEW ORLEANS, ONE OF OUR “BOWL” CITIES. NOTE THE RIVER’S ELEVATION IN RELATION TO THE BOWL LIDAR Courtesy DeWitt Braud, CSI, LSU Katrina Forecasts (CTD) • NHC Web Advisory à LSU Web • Advisory 16, Saturday 0400 à 14:31 (10.5 hr) • Advisory 17, Saturday 1000 à 15:06 (5.1 hr) • Advisory 18, Saturday 1600 à 22:07 (6.1 hr) • Advisory 22, Sunday 0700 à 14:57 (7.9 hr) • Advisory 25, Sunday 2200 à 4:28 (6.5 hr) • Advisory 31, Tuesday 1000 Hindcast Adv.