2014 North Atlantic Hurricane Season Review
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Departamento De Física Tesis Doctoral
Departamento de Física Tesis Doctoral ANALYSIS OF THE RAINFALL VARIABILITY IN THE SUBTROPICAL NORTH ATLANTIC REGION: BERMUDA, CANARY ISLANDS, MADEIRA AND AZORES Irene Peñate de la Rosa Las Palmas de Gran Canaria Noviembre de 2015 UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA Programa de doctorado Física Fundamental y Aplicada Departamento de Física ANALYSIS OF THE RAINFALL VARIABILITY IN THE SUBTROPICAL NORTH ATLANTIC REGION: BERMUDA, CANARY ISLANDS, MADEIRA AND THE AZORES Tesis Doctoral presentada por D" Irene Peñate de la Rosa Dirigida por el Dr. D. Juan Manuel Martin González y Codirigida por el Dr. D. Germán Rodríguez Rodríguez El Director, El Codirector, La Doctoranda, (firma) (firma) (firma) \ Las Palmas de Gran Canaria, a 17 de noviembre de 2015 DEPARTAMENTO DE FÍSICA PROGRAMA DE DOCTORADO: FÍSICA FUNDAMENTAL Y APLICADA TESIS DOCTORAL ANALYSIS OF THE RAINFALL VARIABILITY IN THE SUBTROPICAL NORTH ATLANTIC REGION: BERMUDA, CANARY ISLANDS, MADEIRA AND AZORES PRESENTADA POR: IRENE PEÑATE DE LA ROSA DIRIGA POR EL DR. D. JUAN MANUEL MARTÍN GONZÁLEZ CODIRIGIDA POR EL DR. D. GERMÁN RODRÍGUEZ RODRÍGUEZ LAS PALMAS DE GRAN CANARIA, 2015 Para Pedro y Ángela (mis padres), Andrés, Alejandra y Jorge Irene ACKNOWLEDGEMENTS This thesis has been carried out within the framework of a research collaboration between the Spanish Agency of Meteorology (AEMET) and the Bermuda Weather Service (BWS), such cooperative efforts have been very successful in accomplishing my meteorological training and research objectives. I would like to acknowledge the support to both institutions, especially to Mark Guishard (BWS) for his passionate discussions and by way of his outstanding knowledge about contemporary scientific theories relevant to tropical cyclone forecasting, including case studies of local events. -
Hurricane and Tropical Storm
State of New Jersey 2014 Hazard Mitigation Plan Section 5. Risk Assessment 5.8 Hurricane and Tropical Storm 2014 Plan Update Changes The 2014 Plan Update includes tropical storms, hurricanes and storm surge in this hazard profile. In the 2011 HMP, storm surge was included in the flood hazard. The hazard profile has been significantly enhanced to include a detailed hazard description, location, extent, previous occurrences, probability of future occurrence, severity, warning time and secondary impacts. New and updated data and figures from ONJSC are incorporated. New and updated figures from other federal and state agencies are incorporated. Potential change in climate and its impacts on the flood hazard are discussed. The vulnerability assessment now directly follows the hazard profile. An exposure analysis of the population, general building stock, State-owned and leased buildings, critical facilities and infrastructure was conducted using best available SLOSH and storm surge data. Environmental impacts is a new subsection. 5.8.1 Profile 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 (National Oceanic and Atmospheric Administration [NOAA] 2013a). 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. -
Hurricane Arthur
Meteorological Mainstream: Hurricane Arthur Hurricane Arthur was an Independence Day spoiler for North Carolina merchants. It spun up off of the Florida coast as a Tropical Depression on June 30 and strengthened into a hurricane July 3 as moved northward, taking a bead on the North Carolina shore early on the morning of July 4. It was the earliest visit by a hurricane to the area since records began in 1851. The eye of “Arthur” crossing Pamlico Sound, North Carolina early on the morning of July 4 / NWS radar data. Hurricane Warnings had people running for high ground and leaving beaches deserted during a traditionally very busy…and profitable…summer weekend. The storm reached Category 2 intensity with 100-mph winds as it paralleled the coastline of the Tar-Heel State. There were trees and power lines downed and some roof and beach damage; Cape Lookout weather equipment measured the highest wind gust at 101 mph. However, the sustained 100-mph winds remained mostly offshore. Had Arthur’s track been just 40 miles farther west the story would have been much different, and for the worse, not only due to winds but because of a considerable storm surge. As it was, the surge maxed out at about four feet above normal. There was flooding, but it was far from catastrophic. Arthur turned northeastward and headed out to sea quickly on the morning of July 4, allowing for some of the Holiday weekend to be salvaged. Downed power lines and in some cases damaged roadways did hinder the flow of tourists but it was not a total loss for area businesses. -
CONGRESSIONAL RECORD— Extensions of Remarks E1745 HON
September 24, 2010 CONGRESSIONAL RECORD — Extensions of Remarks E1745 HONORING SUE PALKA It is important to recognize ways in which September 30, at the peak of hurricane sea- average investors of all ages and income lev- son. Madam Speaker, distinguished col- HON. CHRIS VAN HOLLEN els can access the same benefits as large real leagues, I ask you today to join me in passing OF MARYLAND estate investors. I stand with my colleague in this bill. However, we must dedicate ourselves IN THE HOUSE OF REPRESENTATIVES commending the 50th anniversary of Real Es- to finding a permanent solution for those tate Investment Trusts, and 50 years of pro- Americans adversely affected by flooding. The Friday, September 24, 2010 viding a broad range of investors an oppor- people of my district need a long-term exten- Mr. VAN HOLLEN. Madam Speaker, on tunity to achieve the investment goals of diver- sion of the flood insurance program—and they Monday, September 27, 2010, one of my con- sification, strong and reliable dividends, liquid- need to know that the flood insurance program stituents will be celebrating 25 years of out- ity, solid performance, and transparency. will always be there for them. While we are standing service to the Washington, DC met- f working to mitigate the damage caused by ropolitan region. floods, this program remains essential for NATIONAL FLOOD INSURANCE WTTG Fox 5 News weather forecaster Sue those tragic times when nature takes over. PROGRAM REEXTENSION ACT OF Palka has been bringing Washingtonians their With homes in my district and in every flood- 2010 weather reports for decades. -
Orleans Parish Hazard Mitigation Plan
Hazard Mitigation Plan City of New Orleans Office of Homeland Security and Emergency Preparedness January 7, 2021 1300 Perdido Street, Suite 9W03 (504) 658-8740 ready.nola.gov/hazard-mitigation DRAFT – January 7, 2020 1 Table of Contents Section 1: Introduction ................................................................................................................... 9 1.1 New Orleans Community Profile ...................................................................................................... 11 1.1.1 Location ..................................................................................................................................... 11 1.1.2 History of Orleans Parish ........................................................................................................... 12 1.1.3 Climate ....................................................................................................................................... 14 1.1.4 Transportation ............................................................................................................................ 15 1.1.5 Community Assets ..................................................................................................................... 17 1.1.6 Land Use and Zoning ................................................................................................................. 18 1.1.7 Population .................................................................................................................................. 24 1.1.8 -
Hurricane Strike!
Your Name(s): ____________________________ Hurricane Strike! Goto The Hurricane Strike Learning Module at http://www.meted.ucar.edu/hurrican/strike/index.htm Here’s a youtube introduction to the Hurricane Strike Environment. (5 minutes) (note: the video and this document assume that you are using the multimedia version of this activity. Some students prefer the text version. ) Science Worksheet 1 (select Sunday) Watch the Weather Channel News Flash (on the Castillos’ TV) and look in Storm Track (on the Castillos’ laptop computer) to answer questions 1–3: 1. Where was Tropical Storm Erin at 8:00 PM on Sunday, July 30th? (Fill in the blanks with latitude and longitude numbers and identify N, S, E, or W for each. If you have a tracking chart, plot the location.) Latitude: __ __ . __ N S E W Longitude: __ __ . __ N S E W 2. Which place was closest to the center of Tropical Storm Erin? (identify one) Cuba Florida Mexico The Turks & Caicos 3. Tropical Storm Erin’s winds are gusting to 60 mph. How many kilometers per hour (kph) is that, if 1 mph equals 1.61 kph? _______ kph Look in Hurricanes and tropical Cyclones to answer questions 4–11: 4. Tropical storms that begin in the Atlantic Ocean north of the equator form near the … (identify one) Tropic of Cancer Tropic of Capricorn 5. Hurricanes can’t strike places in the northern part of the U.S., like New York. (identify one) TRUE FALSE 6. If you lived in Japan, what would you call hurricanes? (Fill in the blank.) _______________________________ 7. -
Shifting Sands Coastal Barrier Island Network
March112, 2009 Coastal Barrier Island Network Volume 1, Issue 1 Shifting Sands Inside this issue: Development of a Research-Management-Outreach Framework for 2 sustaining Coastal Barrier Island Ecosystems: Inaugural Meeting Galveston, TX, January 2009 Lessons Learned from Hurricane Ike (Galveston Island and Boli- 4 var Peninsula): Perspectives of the Coastal Barrier Island Network (CBIN) The 2009 Hurricane Season: A Summary 14 Request For Proposals (2009-2012) 16 Participants in Inaugural Meeting in of CBIN at Galveston, Texas, Jan 3-7,2009. This meeting also allowed a first-hand look at the impacts of Hurricane Ike Hurricane Ike [aɪk] was the third most destructive hurricane to ever make land- fall in the United States. It was the ninth named storm, fifth hurricane and third major hurricane of the 2008 Atlantic hurricane season. Ike also had the high- est IKE (Integrated Kinetic Energy) of any Atlantic storm in history. Top row, L to R: Greg Carter, Dave Thomas, Don Young, Richard Koske, Jim Gibeaut, Karl Nordstrom, and William K. Smith. Middle row, L to R: Stanley Riggs, Nor- bert Psuty, Jennifer Dugan, and Kelly Lucas. Bottom row, L to R: Kam-Biu Liu, Marisa Martinez Vasquez, Amy Wil- liams, Heather Joesting, Jane Gemma, Nicholas Kraus, Nancy Jackson, and Rusty Feagin. Page 2 Shifting Sands Volume 1, Issue 1 Development of a Research-Management-Outreach Framework for Sustaining Coastal Barrier Island Ecosystems: Inaugural Meeting — Galveston, TX, January 2009 Priority questions identified and compiled at the Galveston meeting are as -
Modelling Global Tropical Cyclone Wind Footprints
https://doi.org/10.5194/nhess-2019-207 Preprint. Discussion started: 2 July 2019 c Author(s) 2019. CC BY 4.0 License. Modelling Global Tropical Cyclone Wind Footprints James M. Done1,2, Ming Ge1, Greg J. Holland1,2, Ioana Dima-West3, Samuel Phibbs3, Geoffrey R. Saville3, and Yuqing Wang4 5 1National Center for Atmospheric Research, 3090 Center Green Drive, Boulder CO 80301, US 2Willis Research Network, 51 Lime St, London, EC3M 7DQ, UK 3Willis Towers Watson, 51 Lime St, London, EC3M 7DQ, UK 4International Pacific Research Center and Department of Atmospheric Sciences, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa, HI 96822, US. 10 Correspondence to: James M. Done ([email protected]) Abstract. A novel approach to modelling the surface wind field of landfalling tropical cyclones (TCs) is presented. The modelling system simulates the evolution of the low-level wind fields of landfalling TCs, accounting for terrain effects. A two- step process models the gradient-level wind field using a parametric wind field model fitted to TC track data, then brings the winds down to the surface using a full numerical boundary layer model. The physical wind response to variable surface drag 15 and terrain height produces substantial local modifications to the smooth wind field provided by the parametric wind profile model. For a set of U.S. historical landfalling TCs the simulated footprints compare favourably with surface station observations. The model is applicable from single event simulation to the generation of global catalogues. One application demonstrated here is the creation of a dataset of 714 global historical TC overland wind footprints. -
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. -
The Atlantic Hurricane Season Summary – 2014
THE ATLANTIC HURRICANE SEASON SUMMARY – 2014 SPECIAL FOCUS ON ANTIGUA AND BARBUDA (PRELIMINARY) Dale C. S. Destin (follow @anumetservice) Antigua and Barbuda Meteorological Service Climate Section December 4, 2014 Satellite Image: Hurricane Gonzalo – Oct 13, 12:45 pm 2014 1 The Atlantic Hurricane Season Summary – 2014 Special Focus on Antigua and Barbuda Dale C. S. Destin (follow @anumetservice) Antigua and Barbuda Meteorological Service Climate Section December 3, 2014 The Season in Brief The 2014 Atlantic hurricane season was relatively quiet generally but relatively average for Antigua. It produced eight (8) named storms. Of the eight (8) storms, six (6) became hurricanes and two reached major hurricane status - category three (3) or higher on the Saffir-Simpson Hurricane Wind Scale. The strongest tropical cyclone for the season was Major Hurricane Gonzalo with peak winds of 145 mph and minimum pressure of 940 mb (see figure 2). Gonzalo impacted Antigua and Barbuda and most of the other northeast Caribbean islands causing loss of lives and 100s of millions of dollars in damage. Relative to Antigua and Barbuda Relative to Antigua and Barbuda, the rest of the Leeward Islands and the British Virgin Islands, two (2) tropical cyclones entered or formed in our defined monitored area (10N 40W – 10N 55W – 15N 70W – 20N 70W – 20N 55W – 15N 40W – 10N 40W) - Bertha and Gonzalo. Gonzalo impacted the northeast Caribbean with hurricane force winds, passing directly over Antigua, St. Martin and Anguilla. This is the first time since Jose in 1999, Antigua has had sustained hurricane force winds, ending our 14 year hurricane drought. In terms of number of named storms, it was not a quiet season for Antigua but rather an average one; however, with respect to hurricanes, we were a year over due since one affects us every three years on average. -
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. -
Sensitivity Analysis of Hurricane Arthur (2014) Storm Surge Forecasts to WRF Physics Parameterizations and Model Configurations
OCTOBER 2017 Z H A N G E T A L . 1745 Sensitivity Analysis of Hurricane Arthur (2014) Storm Surge Forecasts to WRF Physics Parameterizations and Model Configurations FAN ZHANG AND MING LI Horn Point Laboratory, University of Maryland Center for Environmental Science, Cambridge, Maryland ANDREW C. ROSS Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania SERENA BLYTH LEE Griffith School of Engineering, Griffith Climate Change Response Program, Griffith Centre for Coastal Management, Griffith University, Gold Coast, Queensland, Australia DA-LIN ZHANG Department of Atmospheric and Oceanic Science, University of Maryland, College Park, College Park, Maryland (Manuscript received 13 December 2016, in final form 17 July 2017) ABSTRACT Through a case study of Hurricane Arthur (2014), the Weather Research and Forecasting (WRF) Model and the Finite Volume Coastal Ocean Model (FVCOM) are used to investigate the sensitivity of storm surge forecasts to physics parameterizations and configurations of the initial and boundary conditions in WRF. The turbulence closure scheme in the planetary boundary layer affects the prediction of the storm intensity: the local closure scheme produces lower equivalent potential temperature than the nonlocal closure schemes, leading to significant reductions in the maximum surface wind speed and surge heights. On the other hand, higher-class cloud microphysics schemes overpredict the wind speed, resulting in large overpredictions of storm surge at some coastal locations. Without cumulus parameterization in the outermost domain, both the wind speed and storm surge are grossly underpredicted as a result of large precipitation decreases in the storm center. None of the choices for the WRF physics parameterization schemes significantly affect the prediction of Arthur’s track.