Hurricane Lili
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An Informed System Development Approach to Tropical Cyclone Track and Intensity Forecasting
Linköping Studies in Science and Technology Dissertations. No. 1734 An Informed System Development Approach to Tropical Cyclone Track and Intensity Forecasting by Chandan Roy Department of Computer and Information Science Linköping University SE-581 83 Linköping, Sweden Linköping 2016 Cover image: Hurricane Isabel (2003), NASA, image in public domain. Copyright © 2016 Chandan Roy ISBN: 978-91-7685-854-7 ISSN 0345-7524 Printed by LiU Tryck, Linköping 2015 URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-123198 ii Abstract Introduction: Tropical Cyclones (TCs) inflict considerable damage to life and property every year. A major problem is that residents often hesitate to follow evacuation orders when the early warning messages are perceived as inaccurate or uninformative. The root problem is that providing accurate early forecasts can be difficult, especially in countries with less economic and technical means. Aim: The aim of the thesis is to investigate how cyclone early warning systems can be technically improved. This means, first, identifying problems associated with the current cyclone early warning systems, and second, investigating if biologically based Artificial Neural Networks (ANNs) are feasible to solve some of the identified problems. Method: First, for evaluating the efficiency of cyclone early warning systems, Bangladesh was selected as study area, where a questionnaire survey and an in-depth interview were administered. Second, a review of currently operational TC track forecasting techniques was conducted to gain a better understanding of various techniques’ prediction performance, data requirements, and computational resource requirements. Third, a technique using biologically based ANNs was developed to produce TC track and intensity forecasts. -
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. -
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). -
Ex-Hurricane Ophelia 16 October 2017
Ex-Hurricane Ophelia 16 October 2017 On 16 October 2017 ex-hurricane Ophelia brought very strong winds to western parts of the UK and Ireland. This date fell on the exact 30th anniversary of the Great Storm of 16 October 1987. Ex-hurricane Ophelia (named by the US National Hurricane Center) was the second storm of the 2017-2018 winter season, following Storm Aileen on 12 to 13 September. The strongest winds were around Irish Sea coasts, particularly west Wales, with gusts of 60 to 70 Kt or higher in exposed coastal locations. Impacts The most severe impacts were across the Republic of Ireland, where three people died from falling trees (still mostly in full leaf at this time of year). There was also significant disruption across western parts of the UK, with power cuts affecting thousands of homes and businesses in Wales and Northern Ireland, and damage reported to a stadium roof in Barrow, Cumbria. Flights from Manchester and Edinburgh to the Republic of Ireland and Northern Ireland were cancelled, and in Wales some roads and railway lines were closed. Ferry services between Wales and Ireland were also disrupted. Storm Ophelia brought heavy rain and very mild temperatures caused by a southerly airflow drawing air from the Iberian Peninsula. Weather data Ex-hurricane Ophelia moved on a northerly track to the west of Spain and then north along the west coast of Ireland, before sweeping north-eastwards across Scotland. The sequence of analysis charts from 12 UTC 15 to 12 UTC 17 October shows Ophelia approaching and tracking across Ireland and Scotland. -
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. -
Space-Time Assessment of Extreme Precipitation in Cuba Between 1980 and 2019 from Multi-Source Weighted-Ensemble Precipitation Dataset
atmosphere Article Space-Time Assessment of Extreme Precipitation in Cuba between 1980 and 2019 from Multi-Source Weighted-Ensemble Precipitation Dataset Gleisis Alvarez-Socorro 1, José Carlos Fernández-Alvarez 1,2 , Rogert Sorí 2,3 , Albenis Pérez-Alarcón 1,2 , Raquel Nieto 2 and Luis Gimeno 2,* 1 Departamento de Meteorología, Instituto Superior de Tecnologías y Ciencias Aplicadas, Universidad de la Habana, La Habana 10400, Cuba; [email protected] (G.A.-S.); [email protected] (J.C.F.-A.); [email protected] (A.P.-A.) 2 Centro de Investigación Mariña, Universidade de Vigo, Environmental Physics Laboratory (EPhysLab), Campus As Lagoas s/n, 32004 Ourense, Spain; [email protected] (R.S.); [email protected] (R.N.) 3 Instituto Dom Luiz, Faculdade de Ciências da Universidade de Lisboa, 1749-016 Campo Grande, Portugal * Correspondence: [email protected] Abstract: Precipitation extremes such as heavy rainfall and floods are of great interest for climate scientists, particularly for small islands vulnerable to weather phenomena such as hurricanes. In this study, we investigated the spatio-temporal evolution of extreme rainfall over Cuba from 1980 to 2019, separating the dry and rainy periods. In addition, a ranking of extreme precipitation events was performed, which provides the number of events, the area affected, and a ranking of their magnitude Citation: Alvarez-Socorro, G.; by considering the magnitude of anomalies. The analysis was conducted using daily data from the Fernández-Alvarez, J.C.; Sorí, R.; multi-source weighted-ensemble precipitation (MSWEPv2). In determining the extreme precipitation Pérez-Alarcón, A.; Nieto, R.; Gimeno, ranking, the daily extreme precipitation anomaly was calculated with respect to the 95th percentile L. -
Hurricane Sea Surface Inflow Angle and an Observation-Based
NOVEMBER 2012 Z H A N G A N D U H L H O R N 3587 Hurricane Sea Surface Inflow Angle and an Observation-Based Parametric Model JUN A. ZHANG Rosenstiel School of Marine and Atmospheric Science, University of Miami, and NOAA/AOML/Hurricane Research Division, Miami, Florida ERIC W. UHLHORN NOAA/AOML/Hurricane Research Division, Miami, Florida (Manuscript received 22 November 2011, in final form 2 May 2012) ABSTRACT This study presents an analysis of near-surface (10 m) inflow angles using wind vector data from over 1600 quality-controlled global positioning system dropwindsondes deployed by aircraft on 187 flights into 18 hurricanes. The mean inflow angle in hurricanes is found to be 222.6862.28 (95% confidence). Composite analysis results indicate little dependence of storm-relative axisymmetric inflow angle on local surface wind speed, and a weak but statistically significant dependence on the radial distance from the storm center. A small, but statistically significant dependence of the axisymmetric inflow angle on storm intensity is also found, especially well outside the eyewall. By compositing observations according to radial and azimuthal location relative to storm motion direction, significant inflow angle asymmetries are found to depend on storm motion speed, although a large amount of unexplained variability remains. Generally, the largest storm- 2 relative inflow angles (,2508) are found in the fastest-moving storms (.8ms 1) at large radii (.8 times the radius of maximum wind) in the right-front storm quadrant, while the smallest inflow angles (.2108) are found in the fastest-moving storms in the left-rear quadrant. -
Hurricane Harvey Evacuation Behavior Survey Outcomes and Findings
Coastal Bend Hurricane Evacuation Study: Hurricane Harvey Evacuation Behavior Survey Outcomes and Findings Prepared by Texas A&M Hazard Reduction & Recovery Center University of Washington Institute for Hazard Mitigation Planning and Research and Texas A&M Transportation Institute May 2020 Coastal Bend Hurricane Evacuation Study: Hurricane Harvey Evacuation Behavior Survey Outcomes and Findings Prepared by: Texas A&M Hazard Reduction & Recovery Center (HRRC) University of Washington (UW) Institute for Hazard Mitigation Planning and Research and Texas A&M Transportation Institute (TTI) Dr. David H. Bierling, TTI & HRRC Dr. Michael K. Lindell, UW Dr. Walter Gillis Peacock, HRRC Alexander Abuabara, HRRC Ryke A. Moore, HRRC Dr. Douglas F. Wunneburger, HRRC James A. (Andy) Mullins III, TTI Darrell W. Borchardt, PE, TTI May 2020 CONTENTS LIST OF FIGURES ........................................................................................................................... iv LIST OF TABLES ............................................................................................................................. iv INTRODUCTION .............................................................................................................................. 1 BACKGROUND ................................................................................................................................ 1 SURVEY OVERVIEW ...................................................................................................................... 2 Survey Topics -
1 Report Commissioned By: Hurricane Delta – Its
Hurricane Delta – Its Wind and Rain Impacts on Louisiana A Preliminary Report – October 12, 2020 By: Don Wheeler, Meteorologist Only 44 days a devastating strike from category 4 Hurricane Laura, Hurricane Delta makes landfall near Creole, Louisiana - approximately 15 miles east from where Hurricane Laura came ashore near Cameron on August 27. Delta was the fourth named tropical system to make landfall in Louisiana this season joining Tropical Storm Cristobal, Tropical Storm Marco, and Hurricane Laura. The previous record was set in 2002 when Tropical Storms Bertha, Hanna, and Isidore joined with Hurricane Lili to strike the state. Delta, like its predecessor Laura, caused widespread power outages across the state and dumped heavy rainfall in excess of 10 inches. Delta began as an area of disturbed weather in the eastern Caribbean the weekend of October 2. Models were indicating tropical formation of this system within a few days as it moved into the central Caribbean. Ahead of the system Tropical Depression 25, soon to become Gamma, was located over the northwestern Caribbean. The National Hurricane Center issued the first advisory on “Potential Tropical Cyclone 26” at 5PM EDT, Sunday October 4 when the storm was just off the southeast coast of Jamaica. The first forecast track took the storm to the northwest over the western tip of Cuba, then into the southeastern Gulf of Mexico where it was to strengthen to hurricane force. Delta was to move to south of the Louisiana coast, then take a northward turn toward southeast Louisiana in response to an approaching trough. With time, this track would shift west and southwest ever so slightly with the eventual landfall occurring in southwest Louisiana. -
Final Program (8.7 MB PDF)
ABSTRACTS 10th INTERNATIONAL WORKSHOP ON WAVE HINDCASTING AND FORECASTING AND COASTAL HAZARD SYMPOSIUM NORTH SHORE, OAHU, HAWAII NOVEMBER 11 – 16, 2007 Published by: U.S. Army Engineer Research & Development Center Vicksburg, MS 39180-6199 10th International Workshop on Wave Hindcasting and Forecasting & Coastal Hazard Symposium North Shore, Hawaii, November 11-16, 2007 FINAL PROGRAM Sunday, November 11 4:00 – 6:00 p.m. Workshop Registration Desk Open 6:00 – 7:30 p.m. Icebreaker 5:00 p.m. Poster Display P1 Blended Global High Resolution Sea Surface Forcing Parameters for Numerical Ocean Modeling; Huai-Min Zhang, Richard W. Reynolds, Lei Shi, & John J. Bates P2 Overview of the Operational Marine Forecast and Warning Products at the Ocean Prediction Center and the National Hurricane Center; Christopher Burr, Hugh Cobb, Mark Willis, Martin C. Nelson, Robert Berg, David Feit, Scott Prosise, and David Mills P3 Corrupted Quickscat Data and Resultant Erroneous Wave Watch III Output. Robert Burke & Patrick Caldwell P4 Prototyping Fine-Resolution Operational Wave Forecasts for the Northwest Atlantic. Will Perrie, Bash Toulany, Peter Smith & Yongcun Hu P5 Breaking of Nonlinear Two-Dimensional Waves in Deep Water. Alexander Babanin, Dmitry Chalikov, Ian R. Young & Ivan Savelyev P6 Estimation of Plunging Surf Spectra from Remotely Measured Infrasound. Joseph Park, Milton Garces & David Fee P7 Interannual Variability & Predictability of Summertime Significant Wave Heights in the Western North Pacific. Wataru Sasaki & Toshiyuki Hibiya P8 Nonlinear Unidirectional & Directional Spectra in Currituck Sound Time Series. Al R. Osborne P9 High Accuracy Ocean Surface Winds from SAR Imagery. Will Perrie & Hui Shen P10 Spectral Density Composite for Aiding Hawaiian Southern Shore Surf Forecasts. -
On the Difference of Storm Rainfall of Hurricanes Isidore and Lili. Part I
FEBRUARY 2008 JIANGETAL. 29 On the Differences in Storm Rainfall from Hurricanes Isidore and Lili. PartI: Satellite Observations and Rain Potential HAIYAN JIANG AND JEFFREY B. HALVERSON Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, and Meososcale Atmospheric Processes Branch, NASA Goddard Space Flight Center, Greenbelt, Maryland JOANNE SIMPSON Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, Maryland (Manuscript received 28 September 2005, in final form 16 May 2007) ABSTRACT It has been well known for years that the heavy rain and flooding of tropical cyclones over land bear a weak relationship to the maximum wind intensity. The rainfall accumulation history and rainfall potential history of two North Atlantic hurricanes during 2002 (Isidore and Lili) are examined using a multisatellite algorithm developed for use with the Tropical Rainfall Measuring Mission (TRMM) dataset. This algorithm uses many channel microwave data sources together with high-resolution infrared data from geosynchro- nous satellites and is called the real-time Multisatellite Precipitation Analysis (MPA-RT). MPA-RT rainfall estimates during the landfalls of these two storms are compared with the combined U.S. Next-Generation Doppler Radar (NEXRAD) and gauge dataset: the National Centers for Environmental Prediction (NCEP) hourly stage IV multisensor precipitation estimate analysis. Isidore produced a much larger storm total volumetric rainfall as a greatly weakened tropical storm than did category 1 Hurricane Lili during landfall over the same area. However, Isidore had a history of producing a large amount of volumetric rain over the open gulf. Average rainfall potential during the 4 days before landfall for Isidore was over a factor of 2.5 higher than that for Lili. -
Florida Hurricanes and Tropical Storms, 1871-1993: an Historical Survey, the Only Books Or Reports Exclu- Sively on Florida Hurricanes Were R.W
3. 2b -.I 3 Contents List of Tables, Figures, and Plates, ix Foreword, xi Preface, xiii Chapter 1. Introduction, 1 Chapter 2. Historical Discussion of Florida Hurricanes, 5 1871-1900, 6 1901-1930, 9 1931-1960, 16 1961-1990, 24 Chapter 3. Four Years and Billions of Dollars Later, 36 1991, 36 1992, 37 1993, 42 1994, 43 Chapter 4. Allison to Roxanne, 47 1995, 47 Chapter 5. Hurricane Season of 1996, 54 Appendix 1. Hurricane Preparedness, 56 Appendix 2. Glossary, 61 References, 63 Tables and Figures, 67 Plates, 129 Index of Named Hurricanes, 143 Subject Index, 144 About the Authors, 147 Tables, Figures, and Plates Tables, 67 1. Saffir/Simpson Scale, 67 2. Hurricane Classification Prior to 1972, 68 3. Number of Hurricanes, Tropical Storms, and Combined Total Storms by 10-Year Increments, 69 4. Florida Hurricanes, 1871-1996, 70 Figures, 84 l A-I. Great Miami Hurricane 2A-B. Great Lake Okeechobee Hurricane 3A-C.Great Labor Day Hurricane 4A-C. Hurricane Donna 5. Hurricane Cleo 6A-B. Hurricane Betsy 7A-C. Hurricane David 8. Hurricane Elena 9A-C. Hurricane Juan IOA-B. Hurricane Kate 1 l A-J. Hurricane Andrew 12A-C. Hurricane Albert0 13. Hurricane Beryl 14A-D. Hurricane Gordon 15A-C. Hurricane Allison 16A-F. Hurricane Erin 17A-B. Hurricane Jerry 18A-G. Hurricane Opal I9A. 1995 Hurricane Season 19B. Five 1995 Storms 20. Hurricane Josephine , Plates, X29 1. 1871-1880 2. 1881-1890 Foreword 3. 1891-1900 4. 1901-1910 5. 1911-1920 6. 1921-1930 7. 1931-1940 These days, nothing can escape the watchful, high-tech eyes of the National 8.