13D.1 MESOSCALE PRECURSORS to the HURRICANE GASTON FLOODING EVENT AS DIAGNOSED from OBSERVATIONS and NUMERICAL SIMULATIONS
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Richmond, VA Hurricanes
Hurricanes Influencing the Richmond Area Why should residents of the Middle Atlantic states be concerned about hurricanes during the coming hurricane season, which officially begins on June 1 and ends November 30? After all, the big ones don't seem to affect the region anymore. Consider the following: The last Category 2 hurricane to make landfall along the U.S. East Coast, north of Florida, was Isabel in 2003. The last Category 3 was Fran in 1996, and the last Category 4 was Hugo in 1989. Meanwhile, ten Category 2 or stronger storms have made landfall along the Gulf Coast between 2004 and 2008. Hurricane history suggests that the Mid-Atlantic's seeming immunity will change as soon as 2009. Hurricane Alley shifts. Past active hurricane cycles, typically lasting 25 to 30 years, have brought many destructive storms to the region, particularly to shore areas. Never before have so many people and so much property been at risk. Extensive coastal development and a rising sea make for increased vulnerability. A storm like the Great Atlantic Hurricane of 1944, a powerful Category 3, would savage shorelines from North Carolina to New England. History suggests that such an event is due. Hurricane Hazel in 1954 came ashore in North Carolina as a Category 4 to directly slam the Mid-Atlantic region. It swirled hurricane-force winds along an interior track of 700 miles, through the Northeast and into Canada. More than 100 people died. Hazel-type wind events occur about every 50 years. Areas north of Florida are particularly susceptible to wind damage. -
Old Dominion University Study
An Analysis of the Potential Costs and Consequences of a Hurricane Impacting the Virginia Beach-Norfolk- Newport News Metropolitan Area Table of Contents Executive Summary ......................................................................................................................... 3 The Research Collaborative ............................................................................................................. 4 Old Dominion University ................................................................................................................................. 4 Dragas Center for Economic Analysis and Policy (The Dragas Center) ........................................................... 4 Commonwealth Center for Recurrent Flooding Resiliency (CCRFR) .............................................................. 4 Faculty and Research Staff Biographies and Qualifications ........................................................................4 Robert McNab ................................................................................................................................................. 4 Vinod Agarwal ................................................................................................................................................. 4 Barbara Blake .................................................................................................................................................. 5 Tim Komarek .................................................................................................................................................. -
& ~ Hurricane Season Review ~
& ~ Hurricane Season Review ~ St. Maarten experienced drought conditions in 2016 with no severe weather events. All Photos compliments Paul G. Ellinger Meteorological Department St. Maarten Airport Rd. # 114, Simpson Bay (721) 545-2024 or (721) 545-4226 www.meteosxm.com MDS Climatological Summary 2016 The information contained in this Climatological Summary must not be copied in part or any form, or communicated for the use of any other party without the expressed written permission of the Meteorological Department St. Maarten. All data and observations were recorded at the Princess Juliana International Airport. This document is published by the Meteorological Department St. Maarten, and a digital copy is available on our website. Prepared by: Sheryl Etienne-LeBlanc Published by: Meteorological Department St. Maarten Airport Road #114, Simpson Bay St. Maarten, Dutch Caribbean Telephone: (721) 545-2024 or (721) 545-4226 Fax: (721) 545-2998 Website: www.meteosxm.com E-mail: [email protected] www.facebook.com/sxmweather www.twitter.com/@sxmweather MDS © March 2017 Page 2 of 28 MDS Climatological Summary 2016 Table of Contents Introduction.............................................................................................................. 4 Island Climatology……............................................................................................. 5 About Us……………………………………………………………………………..……….……………… 6 2016 Hurricane Season Local Effects..................................................................................................... -
The Economic Impact of a Hurricane on Hampton Roads the ECONOMIC IMPACT of a HURRICANE on HAMPTON ROADS
The Economic Impact Of A Hurricane On Hampton Roads THE ECONOMIC IMPACT OF A HURRICANE ON HAMPTON ROADS When clouds are seen, wise men put on their cloaks; When great leaves fall, then winter is at hand; When the sun sets, who doth not look for night? Untimely storms make men expect a dearth. – “Richard III,” Act 2, Scene 3 he rain began to fall on Norfolk in the early morning of Sept. 2, 1821. Within two hours, winds reached gale force, increasing to hurricane force by 11:30 a.m.1 When the winds and rain abated that afternoon, residents emerged to a scene of devastation. The Norfolk Herald recorded an account of the hurricane’s passage: “From half past 11:00 until half past 12:00, so great the fury of the elements, that they seemed to threaten a general demolition of everything within their reach. During that period the scene was awful. There was the deafening roar of the storm, with the mingled crashing of windows and Tfalling of chimneys, while the rapid rise of the tide threatened to inundate the town.” For the Virginia Beach-Norfolk-Newport News metropolitan statistical area1 storm when it passed through Virginia, Jeffrey D. Stern, state coordinator for (MSA), also referred to as the Hampton Roads MSA, the question is not if, the Virginia Department of Emergency Management (VDEM), estimated that but when a major tropical storm or hurricane will impact the region again. Matthew caused nearly $500 million in damage.2 Even a relatively weak hurricane would likely cause significant damage to property, displace residents and reduce economic activity. -
A Parametric Model for Predicting Hurricane Rainfall
3086 MONTHLY WEATHER REVIEW VOLUME 135 A Parametric Model for Predicting Hurricane Rainfall MANUEL LONFAT Risk Management Solutions, Ltd., London, United Kingdom ROBERT ROGERS NOAA/AOML/Hurricane Research Division, Miami, Florida TIMOTHY MARCHOK NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey FRANK D. MARKS JR. NOAA/AOML/Hurricane Research Division, Miami, Florida (Manuscript received 20 July 2006, in final form 9 November 2006) ABSTRACT This study documents a new parametric hurricane rainfall prediction scheme, based on the rainfall climatology and persistence model (R-CLIPER) used operationally in the Atlantic Ocean basin to forecast rainfall accumulations. Although R-CLIPER has shown skill at estimating the mean amplitude of rainfall across the storm track, one underlying limitation is that it assumes that hurricanes produce rain fields that are azimuthally symmetric. The new implementations described here take into account the effect of shear and topography on the rainfall distribution through the use of parametric representations of these processes. Shear affects the hurricane rainfall by introducing spatial asymmetries, which can be reasonably well modeled to first order using a Fourier decomposition. The effect of topography is modeled by evaluating changes in elevation of flow parcels within the storm circulation between time steps and correcting the rainfall field in proportion to those changes. Effects modeled in R-CLIPER and those from shear and topography are combined in a new model called the Parametric Hurricane Rainfall Model (PHRaM). Comparisons of rainfall accumulations predicted from the operational R-CLIPER model, PHRaM, and radar-derived observations show some improvement in the spatial distribution and amplitude of rainfall when shear is accounted for and significant improvements when both shear and topography are modeled. -
The AIR Hurricane Model AIR Atlantic Tropical Cyclone Model V7.0
The AIR Hurricane Model AIR Atlantic Tropical Cyclone Model V7.0 Presentation to the Florida Commission on Hurricane Loss Projection Methodology June 2, 2005 www.air-worldwide.com Model Identification Name of model and version: Atlantic Tropical Cyclone Model V7.0 Program: CLASIC/2 V6.6.1 © 2005 AIR Worldwide Corporation AIR Tropical Cyclone Model Components Event Intensity Generation Calculation Damage Calculation Exposure Information Insured Loss Validation, Calculation Reporting Policy Conditions © 2005 AIR Worldwide Corporation Simulated Variables in Hurricane Event Generation Annual Frequency Storm Track Location Frequency Catalog Landfall Min Central Angle Pressure Forward Max Wind Speed Speeds Radius of Max winds © 2005 AIR Worldwide Corporation Probability Distributions for Key Model Variables Annual landfall frequency ¾ Negative Binomial distribution Landfall location ¾ CDF estimated using historical landfall frequencies Minimum central pressure ¾ Combination of Weibull distributions Radius of maximum winds ¾ Function of central pressure and latitude Forward speed ¾ Lognormal distribution Landfall angle ¾ Mixture of Normal distributions © 2005 AIR Worldwide Corporation Windfield Cross Section Eye Right Side Stronger Winds Weaker Winds Rmax © 2005 AIR Worldwide Corporation Typical Vulnerability Function Building Envelope and Structural Damage Roof Covering and Wall Siding Damage Major Structural Damage Damage Ratio Damage Regime II Regime I Regime III v1 V2 Wind Speed © 2005 AIR Worldwide Corporation Probability Distribution -
Surviving and Thriving in the Face of Rising Seas (2015) -- Executive
EXECUTIVE SUMMARY Surviving and Thriving in the Face of Rising Seas Building Resilience in Communities on the Front Lines of Climate Change HIGHLIGHTS Coastal communities across the United States are facing worsening risks of With sea level rise accelerating along the flooding during routine high tides and damaging storm surges. With sea level East and Gulf Coasts of the United States, rise accelerating along the East and Gulf Coasts, these problems are projected to intensify in the coming years, and they are likely to have a disproportionate impact coastal flooding is projected to intensify, on low-income and minority communities. This report is an attempt to guide and is likely to have a disproportionate improvements in policy making around disaster aid and preparedness, to ensure impact on low-income and minority that communities receive the support they need before and in the aftermath of communities. Our nation’s investments climate-related disasters. It also makes the case for better long-term planning and in climate resilience must anticipate sufficient resources to anticipate and prioritize the needs of frontline communities and prioritize the needs of frontline who bear the brunt of the climate impacts our nation is experiencing. Our research reflects, in part, rich discussions at a climate equity convening communities who bear the brunt of these in Baltimore, MD, in November 2014, co-sponsored by the National Association climate impacts. We present a screening for the Advancement of Colored People (NAACP) and the Union of Concerned tool to help identify coastal “climate equity Scientists (UCS). These discussions served as a starting point for our study, hotspots” that face heightened exposure to which brings together recent research on socioeconomic disparities and coastal climate impacts because of a combination climate risks. -
An Investigation of Tropical Rainfall Downwind of Urban Areas Along the United States East Coast
Mississippi State University Scholars Junction Theses and Dissertations Theses and Dissertations 1-1-2008 An Investigation of Tropical Rainfall Downwind of Urban Areas along the United States East Coast Ashley Marie Hayes Follow this and additional works at: https://scholarsjunction.msstate.edu/td Recommended Citation Hayes, Ashley Marie, "An Investigation of Tropical Rainfall Downwind of Urban Areas along the United States East Coast" (2008). Theses and Dissertations. 603. https://scholarsjunction.msstate.edu/td/603 This Graduate Thesis - Open Access is brought to you for free and open access by the Theses and Dissertations at Scholars Junction. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of Scholars Junction. For more information, please contact [email protected]. AN INVESTIGATION OF TROPICAL RAINFALL DOWNWIND OF URBAN AREAS ALONG THE UNITED STATES EAST COAST By Ashley Marie Hayes A Thesis Submitted to the Faculty of Mississippi State University in Partial Fulfillment of the Requirements for the Degree of Master of Science in Geosciences in the Department of Geosciences Mississippi State, Mississippi May 2008 AN INVESTIGATION OF TROPICAL RAINFALL DOWNWIND OF URBAN AREAS ALONG THE UNITED STATES EAST COAST By Ashley Marie Hayes Approved: __________________________________ __________________________________ P. Grady Dixon Jamie L. Dyer Assistant Professor of Geosciences Assistant Professor of Geosciences (Director of Thesis) (Committee Member) __________________________________ -
A Report on All Cyclones That Formed in 2016, with Detailed Season Statistics and Records That Were Achieved Worldwide This Year
A report on all cyclones that formed in 2016, with detailed season statistics and records that were achieved worldwide this year. Compiled by Nathan Foy at Force Thirteen, December 2016, January 2017 Direct contact: [email protected] See last page of document for more contact details Cover photo: International Space Station photo of Super Typhoon Nepartak on July 7, 2016 Below: Himawari-8 visible image of Super Typhoon Haima on October 18, 2016 Contents 1. Background 3 2. The 2016 Datasheet 4 2.1 Peak Intensities 4 2.2 Amount of Landfalls and Nations Affected 7 2.3 Fatalities, Injuries, and Missing persons 10 2.4 Monetary damages 12 2.5 Buildings damaged and destroyed 13 2.6 Evacuees 15 2.7 Timeline 16 3. Notable Storms of 2016 22 3.1 Hurricane Alex 23 3.2 Cyclone Winston 24 3.3 Cyclone Fantala 25 3.4 June system in the Gulf of Mexico (“Colin”) 26 3.5 Super Typhoon Nepartak 27 3.6 Super Typhoon Meranti 28 3.7 Subtropical Storm in the Bay of Biscay 29 3.8 Hurricane Karl 30 3.9 Hurricane Matthew 31 3.10 Tropical Storm Tina 33 3.11 Hurricane Otto 34 4. 2016 Storm Records 35 4.1 Intensity and Longevity 36 4.2 Activity Records 39 4.3 Landfall Records 41 4.4 Eye and Size Records 42 4.5 Intensification Rate 43 4.6 Damages 44 5. Force Thirteen during 2016 45 5.1 Forecasting critique and storm coverage 46 5.2 Viewing statistics 47 6. Long Term Trends 48 7. -
1999/11/18-Documents Supporting Staff Review of North Anna ESP Final EIS Concerning Meteorology and Air Quality
TPC ATLANTIC FLOYD 1999 PRELIMINARY REPOR1a1 rage i ot zi kifl~s HOME ARCHIVES FORECASTS IMAGERY ABOUT TPC RECONNAISSANCE Preliminary Report Hurricane Floyd 7 - 17 September, 1999 Text-only version (printer friendly) Richard J. Pasch, Todd B. Kimberlain and Stacy R. Stewart National Hurricane Center 18 November 1999 PRELIMINARY REPORTS Floyd was a large and intense Cape Verde hurricane Tropical Storm that pounded the central and northern Bahama islands, Arlene Tropical Depression seriously threatened Florida, struck the coast of North Two Carolina and moved up the United States east coast Hurricane Bret into New England. It neared the threshold of category Hurricane Cindy five intensity on the Saffir/Simpson Hurricane Scale as Hurricane Dennis it approached the Bahamas, and produced a flood Tropical Storm Emily disaster of immense proportions in the eastern United Tropical Depression Seven States, particularly in North Carolina. Hurricane Floyd Hurricane Gert a. Synoptic History Tropical Storm Harvey Floyd can be traced back to a tropical wave that emerged from Tropical Depression western Africa on 2 September. This system was not particularly Eleven impressive-looking, in terms of the organization of the convection shown on Tropical Depression satellite images, but there was evidence of curvature in the cloud lines. Twelve Overall the system was broad and disorganized, yet easily recognizable as Hurricane Irene a synoptic-scale entity. Hurricane Jose Tropical Storm The wave proceeded westward across the eastern tropical Atlantic Katrina at about the normal speed of propagation, 6 degrees of longitude per day, Hurricane Lenny with little apparent change, for several days. A center of circulation was estimated late on 5 September near 15N 32.5W but the cloud pattern lacked sufficient deep convection for a Dvorak classification. -
Downloaded 09/27/21 05:18 AM UTC 982 MONTHLY WEATHER REVIEW VOLUME 134
MARCH 2006 ANNUAL SUMMARY 981 ANNUAL SUMMARY Atlantic Hurricane Season of 2004 JAMES L. FRANKLIN,RICHARD J. PASCH,LIXION A. AVILA,JOHN L. BEVEN II, MILES B. LAWRENCE, STACY R. STEWART, AND ERIC S. BLAKE Tropical Prediction Center, National Hurricane Center, NOAA/NWS, Miami, Florida (Manuscript received 16 March 2005, in final form 1 August 2005) ABSTRACT The 2004 Atlantic hurricane season is summarized, and the year’s tropical and subtropical cyclones are described. Fifteen named storms, including six “major” hurricanes, developed in 2004. Overall activity was nearly two and a half times the long-term mean. The season was one of the most devastating on record, resulting in over 3100 deaths basinwide and record property damage in the United States. 1. Introduction named systems became hurricanes, and of these, six The 2004 Atlantic hurricane season was among the became major hurricanes. One additional tropical de- most devastating on record. The year’s storms claimed pression did not reach storm strength. These totals are over 3100 lives, the second largest toll in three decades; considerably above the long-term (1944–2003) means 60 of these occurred in the United States. The United of 10.2 named storms, 6.0 hurricanes, and 2.6 major States suffered a record $45 billion in property damage, hurricanes. August alone saw the formation of eight enduring landfalls from five hurricanes (Charley, tropical storms, a new record for that month. The sea- Frances, Gaston, Ivan, and Jeanne) and the eyewall son also featured intense and long-lived hurricanes. passage of a sixth (Alex) that avoided landfall on the Ivan, a category 5 storm, twice reached a minimum North Carolina Outer Banks by less than 10 miles. -
Superensemble Forecasts of Hurricane Track and Intensity Using a Suite of Mesoscale Models Melanie A
Florida State University Libraries Electronic Theses, Treatises and Dissertations The Graduate School 2008 Superensemble Forecasts of Hurricane Track and Intensity Using a Suite of Mesoscale Models Melanie A. Kramer Follow this and additional works at the FSU Digital Library. For more information, please contact [email protected] FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES SUPERENSEMBLE FORECASTS OF HURRICANE TRACK AND INTENSITY USING A SUITE OF MESOSCALE MODELS By MELANIE A. KRAMER A Thesis submitted to the Department of Meteorology in partial fulfillment of the requirements for the degree of Master of Science Degree Awarded: Summer Semester, 2008 The members of the Committee approve the Thesis of Melanie A. Kramer defended on May 23, 2008. _________________________ T.N. Krishnamurti Professor Directing Thesis _________________________ Robert Hart Committee Member _________________________ Paul Ruscher Committee Member The Office of Graduate Studies has verified and approved the above named committee members. ii ACKNOWLEDGEMENTS I would like to acknowledge my major professor, Dr. T.N. Krishnamurti, for all of his instruction and guidance. The many meetings with my other committee members, Dr. Robert Hart and Dr. Paul Ruscher, provided new and beneficial insight into different aspects of this project, for which I am most grateful. Their comments helped me to learn a great deal about modeling and kept me interested in studying hurricanes. Thanks to the Krishnamurti lab, specifically Mrinal Biswas, Dr. Sandeep Pattnaik, Dr. Arindam Chakraborty, and Dr. Lydia Stefanova for the countless hours of instruction and assistance in this research process, for which I am greatly indebted. Thank you also to the many who have gone before me helping me in writing, formatting, and getting through.