Doppler-Observed Eyewall Replacement, Vortex Contraction/Intensi®Cation, and Low-Level Wind Maxima
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Hurricane Outer Rainband Mesovortices
Presented at the 24th Conference on Hurricanes and Tropical Meteorology, Ft. Lauderdale, FL, May 31 2000 EXAMINING THE PRE-LANDFALL ENVIRONMENT OF MESOVORTICES WITHIN A HURRICANE BONNIE (1998) OUTER RAINBAND 1 2 2 1 Scott M. Spratt , Frank D. Marks , Peter P. Dodge , and David W. Sharp 1 NOAA/National Weather Service Forecast Office, Melbourne, FL 2 NOAA/AOML Hurricane Research Division, Miami, FL 1. INTRODUCTION Tropical Cyclone (TC) tornado environments have been studied for many decades through composite analyses of proximity soundings (e.g. Novlan and Gray 1974; McCaul 1986). More recently, airborne and ground-based Doppler radar investigations of TC rainband-embedded mesocyclones have advanced the understanding of tornadic cell lifecycles (Black and Marks 1991; Spratt et al. 1997). This paper will document the first known dropwindsonde deployments immediately adjacent to a family of TC outer rainband mesocyclones, and will examine the thermodynamic and wind profiles retrieved from the marine environment. A companion paper (Dodge et al. 2000) discusses dual-Doppler analyses of these mesovortices. On 26 August 1998, TC Bonnie made landfall as a category two hurricane along the North Carolina coast. Prior to landfall, two National Oceanographic and Atmospheric Administration (NOAA) Hurricane Research Division (HRD) aircraft conducted surveillance missions offshore the Carolina coast. While performing these missions near altitudes of 3.5 and 2.1 km, both aircraft were required to deviate around intense cells within a dominant outer rainband, 165 to 195 km northeast of the TC center. On-board radars detected apparent mini-supercell signatures associated with several of the convective cells along the band. -
Historical Changes in the Mississippi-Alabama Barrier Islands and the Roles of Extreme Storms, Sea Level, and Human Activities
HISTORICAL CHANGES IN THE MISSISSIPPI-ALABAMA BARRIER ISLANDS AND THE ROLES OF EXTREME STORMS, SEA LEVEL, AND HUMAN ACTIVITIES Robert A. Morton 88∞46'0"W 88∞44'0"W 88∞42'0"W 88∞40'0"W 88∞38'0"W 88∞36'0"W 88∞34'0"W 88∞32'0"W 88∞30'0"W 88∞28'0"W 88∞26'0"W 88∞24'0"W 88∞22'0"W 88∞20'0"W 88∞18'0"W 30∞18'0"N 30∞18'0"N 30∞20'0"N Horn Island 30∞20'0"N Petit Bois Island 30∞16'0"N 30∞16'0"N 30∞18'0"N 30∞18'0"N 2005 2005 1996 Dauphin Island 1996 2005 1986 1986 30∞16'0"N Kilometers 30∞14'0"N 0 1 2 3 4 5 1966 30∞16'0"N 1950 30∞14'0"N 1950 Kilometers 1917 0 1 2 3 4 5 1917 1848 1849 30∞14'0"N 30∞14'0"N 30∞12'0"N 30∞12'0"N 30∞12'0"N 30∞12'0"N 30∞10'0"N 30∞10'0"N 88∞46'0"W 88∞44'0"W 88∞42'0"W 88∞40'0"W 88∞38'0"W 88∞36'0"W 88∞34'0"W 88∞32'0"W 88∞30'0"W 88∞28'0"W 88∞26'0"W 88∞24'0"W 88∞22'0"W 88∞20'0"W 88∞18'0"W 89∞10'0"W 89∞8'0"W 89∞6'0"W 89∞4'0"W 88∞58'0"W 88∞56'0"W 88∞54'0"W 88∞52'0"W 30∞16'0"N Cat Island Ship Island 30∞16'0"N 2005 30∞14'0"N 1996 30∞14'0"N 1986 Kilometers 1966 0 1 2 3 30∞14'0"N 1950 30∞14'0"N 1917 1848 Fort 2005 Massachusetts 1995 1986 Kilometers 1966 0 1 2 3 30∞12'0"N 1950 30∞12'0"N 1917 30∞12'0"N 30∞12'0"N 1848 89∞10'0"W 89∞8'0"W 89∞6'0"W 89∞4'0"W 88∞58'0"W 88∞56'0"W 88∞54'0"W 88∞52'0"W Open-File Report 2007-1161 U.S. -
Desoto's Seafood Kitchen
beachin’August 2019 LIFE ON THE ALABAMA GULF COAST LET YOUR STYLE ROAR With Disney’s The Lion King Collection by Pandora © 2019 Pandora Jewelry, LLC • All rights reserved • The Lion King © 2019 Disney DIAMOND JEWELERS GULF SHORES 251-967-4141 DIAMONDJEWELERS.NET 10583120 2 Beachin’ ● August 2019 August 2019 ● Beachin’ 3 4 Beachin’ ● August 2019 August 2019 ● Beachin’ 5 6 Beachin’ ● August 2019 August 2019 ● Beachin’ 7 beachin’ A specialty publication of Gulf Coast Media about the cover contents publisher Parks Rogers Blue skies and the bright summer sun greets Too Close for Comfort [email protected] visitors to Alabama’s Gulf Coast. Kick back and enjoy the beautiful view. Hurricane Barry August 2019 2019 August August beachin’2019 August LIFE ON THE ALABAMA GULF COAST managing editor Photo by Jack Swindle Allison Marlow [email protected] 16 design and layout Paige Marmolejo [email protected] Sands of Time advertising Charter boat fishing begins LouAnn Love [email protected] 251.943.2151 Frank Kustura [email protected] 24 251.923.8129 feature Bethany Randall [email protected] Beach Happenings 251.266.9982 story August events and activities Beachin’ magazine is published Bushwackers at the beach monthly by Gulf Coast Media, 901 N. McKenzie Street, Foley, AL 36535 251.943.2151 Try one or try them all, just don’t Distributed free by The Alabama Gulf Coast Convention & Visitor’s Bureau and at other miss this “must do” summer drink 28 locations throughout Gulf Shores, Orange Beach and Fort Morgan. All rights reserved. Reproduction without permission is prohibited. 10 Nature Gulf Coast Media accepts no responsibility in the guarantee of goods Green Sea Turtles visit Alabama and services advertised herein. -
Hurricane Danny
HURRICANE TRACKING ADVISORY eVENT™ Hurricane Danny Information from NHC Advisory 10, 5:00 PM EDT Thursday August 20, 2015 Danny is moving toward the west-northwest near 10 mph and this general motion is expected to continue into Saturday. Maximum sustained winds have increased to near 80 mph with higher gusts. Some additional strengthening is forecast during the next 24 hours, but a weakening trend is expected to begin after that. Intensity Measures Position & Heading U.S. Landfall (NHC) Max Sustained Wind 80 mph Position Relative to 1030 miles E of the Lesser Speed: (category 1) Land: Antilles Est. Time & Region: n/a Min Central Pressure: 990 mb Coordinates: 13.0 N, 45.7 W Trop. Storm Force Est. Max Sustained Wind 60 miles Bearing/Speed: WNW or 295 degrees at 10 mph n/a Winds Extent: Speed: Forecast Summary The current NHC forecast map (below left) shows Danny moving toward the Lesser Antilles over the next few days at hurricane strength and then weakening to a tropical storm on Sunday. The windfield map (below right) is based on the NHC’s forecast track and shows Danny maintaining category 1 hurricane strength through Sunday, with 74 – 95 mph winds, and then weakening to a tropical storm by Tuesday. To illustrate the uncertainty in Danny’s forecast track, forecast tracks for all current models are shown on the map in pale gray. Forecast Track for Hurricane Danny Forecast Windfield for Hurricane Danny (National Hurricane Center) (Based on NHC at 12:00 UTC) from Kinetic Analysis Corp. Pittsburgh Washington D.C. Cincinnati US ! D Trop Dep Ï TD TS !S Ï Trop Storm Cat 1 !1 Ï Cat 1 Nassau Havana TropicTropic ofof CancerCancer MX CU Santo Domingo DO Port-au-PrinceSan Juan Kingston 08-25 08-24 HN 08-23 Fort-De-France 08-22 NI Castries 08-21 Managua Willemstad Caracas 08-20 CR CR Maracaibo Port0 of Spain250 500 1,000 San Jose CO Miles PA VEVE PA Panama GY GY © Copyright 2015 Willis Limited / Willis Re Inc. -
US Landfalling and North Atlantic Hurricanes
44 MONTHLY WEATHER REVIEW VOLUME 140 U.S. Landfalling and North Atlantic Hurricanes: Statistical Modeling of Their Frequencies and Ratios GABRIELE VILLARINI Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey, and Willis Research Network, London, United Kingdom GABRIEL A. VECCHI NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey JAMES A. SMITH Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey (Manuscript received 10 March 2011, in final form 11 July 2011) ABSTRACT Time series of U.S. landfalling and North Atlantic hurricane counts and their ratios over the period 1878– 2008 are modeled using tropical Atlantic sea surface temperature (SST), tropical mean SST, the North At- lantic Oscillation (NAO), and the Southern Oscillation index (SOI). Two SST input datasets are employed to examine the uncertainties in the reconstructed SST data on the modeling results. Because of the likely un- dercount of recorded hurricanes in the earliest part of the record, both the uncorrected hurricane dataset (HURDAT) and a time series with a recently proposed undercount correction are considered. Modeling of the count data is performed using a conditional Poisson regression model, in which the rate of occurrence can depend linearly or nonlinearly on the climate indexes. Model selection is performed following a stepwise approach and using two penalty criteria. These results do not allow one to identify a single ‘‘best’’ model because of the different model configurations (different SST data, corrected versus uncorrected datasets, and penalty criteria). Despite the lack of an objectively identified unique final model, the authors recommend a set of models in which the parameter of the Poisson distribution depends linearly on tropical Atlantic and tropical mean SSTs. -
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. -
Service Assessment Hurricane Irene, August
Service Assessment Hurricane Irene, August 21–30, 2011 U.S. DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration National Weather Service Silver Spring, Maryland Cover Photographs: Top Left - NOAA GOES 13 visible image of Hurricane Irene taken at 12:32 UTC (8:32 a.m. EDT) on August 27, 2011, as it was moving northward along the east coast. Map of total storm rainfall for Hurricane Irene (NCEP/HPC) overlaid with photos of Hurricane Irene’s impacts. Clockwise from top right: • Damage to bridge over the Pemigewasset River/East Branch in Lincoln, NH (NH DOT) • Trees across road and utility lines in Guilford, CT (CT DEP) • Damage to homes from storm surge at Cosey Beach, East Haven, CT (CT DEP) • Flooding of Delaware River closes Rt. 29 in Trenton, NJ (State of New Jersey, Office of the Governor) • Damage from storm surge on North Carolina’s Outer Banks (USGS) • Damage to home from an EF1 tornado in Lewes, DE (Sussex County, DE EOC) • River flooding on Schoharie Creek near Lexington, NY (USGS) • Flood damage to historic covered bridge and road in Quechee, VT (FEMA) ii Service Assessment Hurricane Irene, August 21–30, 2011 September 2012 National Oceanic and Atmospheric Administration Dr. Jane Lubchenco, Administrator National Weather Service Laura Furgione, Acting Assistant Administrator for Weather Services iii Preface On August 21-29, 2011, Hurricane Irene left a devastating imprint on the Caribbean and U.S. East Coast. The storm took the lives of more than 40 people, caused an estimated $6.5 billion in damages, unleashed major flooding, downed trees and power lines, and forced road closures, evacuations, and major rescue efforts. -
Radar and Rain Gauge Analysis of the Extreme Rainfall During Hurricane Danny’S (1997) Landfall
MAY 2007 M E D L I N E T A L . 1869 Radar and Rain Gauge Analysis of the Extreme Rainfall during Hurricane Danny’s (1997) Landfall JEFFREY M. MEDLIN National Weather Service Forecast Office, Mobile, Alabama SYTSKE K. KIMBALL AND KEITH G. BLACKWELL Department of Earth Sciences, University of South Alabama, Mobile, Alabama (Manuscript received 27 October 2005, in final form 20 June 2006) ABSTRACT As a minimal hurricane, Danny moved over Mobile Bay around 0900 UTC 19 July 1997 and became stationary by midmorning, while situated within a synoptic col. Danny then evolved into an asymmetric storm with an intensely convective rainband that produced torrential rainfall through 1200 UTC 20 July 1997. Danny’s center remained Ͻ100 km from the National Weather Service (NWS) Weather Surveillance Radar-1988 Doppler (WSR-88D) in Mobile, Alabama, for over 48 h, allowing long-term surveillance of the storm’s inner core. This event marked the first time the tropical Z–R relationship was employed on an operational WSR-88D system during tropical cyclone landfall. A radar-estimated maximum rainfall accu- mulation of 1097 mm (43.2 in.) was analyzed over southwestern Mobile Bay. A NWS cooperative rain gauge located on Dauphin Island, Alabama, measured 896 mm (35.28 in.). An adjacent standard rain gauge measured the highest rainfall amount of 932 mm (36.71 in.). This paper investigates the spatial and temporal distribution and potential magnitude of Danny’s torrential rainfall episode over coastal Alabama. It is shown that both gauges and radar seriously underestimated event rainfall. An estimate is given for what could have been the true event rainfall amount. -
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. -
Atlantic Hurricane Season of 1997
2012 MONTHLY WEATHER REVIEW VOLUME 127 Atlantic Hurricane Season of 1997 EDWARD N. RAPPAPORT Tropical Prediction Center, National Hurricane Center, NOAA/NWS, Miami, Florida (Manuscript received 12 June 1998, in ®nal form 5 October 1998) ABSTRACT The 1997 Atlantic hurricane season is summarized and the year's tropical storms, hurricanes, and one sub- tropical storm are described. The tropical cyclones were relatively few in number, short lived, and weak compared to long-term climatology. Most systems originated outside the deep Tropics. Hurricane Danny was the only system to make landfall. It produced rainfall totals to near 1 m in southern Alabama and is blamed for ®ve deaths. Hurricane Erika was responsible for the season's two other fatalities, in the coastal waters of Puerto Rico. 1. Introduction This is one of the smallest contributions (by percentage) on record by tropical waves. On average, about 60% of A sharp drop in tropical cyclone activity occurred in tropical cyclones originate from tropical waves (Pasch the Atlantic hurricane basin from 1995±96 to 1997 (Ta- et al. 1998). ble 1). Only seven tropical storms formed in 1997, and Historically, many of the strongest Atlantic tropical just three of those reached hurricane strength (Table 2). cyclones develop from tropical waves between the coast This also represents a considerable reduction from the of Africa and the Lesser Antilles in the August±Sep- long-term averages of ten tropical storms and six hur- tember period. Such tropical cyclone formation appears ricanes. The months of August and September were par- to be related to 1) the wave's ``intrinsic'' potential for ticularly quiet. -
Downloaded 10/01/21 11:55 PM UTC 3574 MONTHLY WEATHER REVIEW VOLUME 140 Level in Hurricanes
NOVEMBER 2012 Z H A N G E T A L . 3573 Lightning Distribution and Eyewall Outbreaks in Tropical Cyclones during Landfall WENJUAN ZHANG Laboratory of Lightning Physics and Protection Engineering, Chinese Academy of Meteorological Sciences, and Graduate University of Chinese Academy of Sciences, Beijing, China YIJUN ZHANG Laboratory of Lightning Physics and Protection Engineering, Chinese Academy of Meteorological Sciences, and State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China DONG ZHENG Laboratory of Lightning Physics and Protection Engineering, Chinese Academy of Meteorological Sciences, Beijing, China XIUJI ZHOU Laboratory of Lightning Physics and Protection Engineering, Chinese Academy of Meteorological Sciences, and State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China (Manuscript received 23 November 2011, in final form 10 April 2012) ABSTRACT Cloud-to-ground lightning data and storm intensity data (winds and central pressure) for 33 northwest Pacific tropical cyclones were used to analyze lightning distributions during the period of landfall in China. Lightning activities varied enormously from storm to storm with an average flash rate over 500 km of radius from 3 to 3201 flashes per hour, and no obvious relationship between average intensity and average flash rate occurred. The maximum flash density shifted from the eyewall region (0–60 km) to outer rainbands (180–500 km) as the intensity level increased. The average ratio of flash density in the eyewall to outer 2 rainband was highest (1:0.5) for storms with the level of a tropical storm (17.2–24.4 m s 1) and lowest (1:8.6) 2 for severe typhoons (41.5–50.9 m s 1). -
The Precipitation Structure of the Mediterranean Tropical-Like Cyclone Numa: Analysis of GPM Observations and Numerical Weather Prediction Model Simulations
remote sensing Article The Precipitation Structure of the Mediterranean Tropical-Like Cyclone Numa: Analysis of GPM Observations and Numerical Weather Prediction Model Simulations Anna Cinzia Marra 1, Stefano Federico 1 , Mario Montopoli 1 , Elenio Avolio 2 , Luca Baldini 1 , Daniele Casella 1, Leo Pio D’Adderio 1, Stefano Dietrich 1 , Paolo Sanò 1 , Rosa Claudia Torcasio 1 and Giulia Panegrossi 1,* 1 Institute of Atmospheric Sciences and Climate, National Research Council (ISAC/CNR), 00133 Rome, Italy 2 Institute of Atmospheric Sciences and Climate, National Research Council (ISAC/CNR), 88046 Lamezia Terme, Italy * Correspondence: [email protected]; Tel.: +39-06-4993-4274 Received: 30 May 2019; Accepted: 11 July 2019; Published: 17 July 2019 Abstract: This study shows how satellite-based passive and active microwave (MW) sensors can be used in conjunction with high-resolution Numerical Weather Prediction (NWP) simulations to provide insights of the precipitation structure of the tropical-like cyclone (TLC) Numa, which occurred on 15–19 November 2017. The goal of the paper is to characterize and monitor the precipitation at the different stages of its evolution from development to TLC phase, throughout the storm transition over the Mediterranean Sea. Observations by the NASA/JAXA Global Precipitation Measurement Core Observatory (GPM-CO) and by the GPM constellation of MW radiometers are used, in conjunction with the Regional Atmospheric Modeling System (RAMS) simulations. The GPM-CO measurements are used to analyze the passive MW radiometric response to the microphysical structure of the storm, while the comparison between successive MW radiometer overpasses shows the evolution of Numa precipitation structure from its early development stage on the Ionian Sea into its TLC phase, as it persists over southern coast of Italy (Apulia region) for several hours.