Tropical-Cyclone Flow Asymmetries Induced by a Uniform Flow Revisited
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The 2009 Atlantic Hurricane Season in Perspective by Dr
AIRCURRENTS THE 2009 ATLANTIC EDITor’s noTE: November 30 marked the official end of the Atlantic HURRICANE SEASON hurricane season. With nine named storms, including three hurricanes, and no U.S. landfalling hurricanes, this season was the second quietest since IN PERSPECTIVE 1995, the year the present period of above-average sea surface temperatures (SSTs) began. This year’s relative inactivity stands in sharp contrast to the 2008 season, during which Hurricanes Dolly, Gustav, and Ike battered the Gulf Coast, causing well over 10 billion USD in insured losses. With no U.S. landfalling hurricanes in 2009, but a near miss in the Northeast, 2009 reminds us yet again of the dramatic short term variability in hurricane 12.2009 landfalls, regardless of whether SSTs are above or below average. By Dr. Peter S. Dailey HOW DOES ACTIVITY IN 2009 COMPARE TO Hurricanes are much more intense than tropical storms, LONG-TERM AVERAGES? producing winds of at least 74 mph. Only about half of By all standard measures, the 2009 Atlantic hurricane tropical storms reach hurricane strength in a typical year, season was below average. Figure 1 shows the evolution with an average of six hurricanes by year end. Major of a “typical” season, which reflects the long-term hurricanes, with winds of 111 mph or more, are even rarer, climatological average over many decades of activity. with only about three expected in the typical year. Note the Tropical storms, which produce winds of at least 39 mph, sharp increase in activity during the core of the season—the occur rather frequently. -
Doppler Radar Analysis of Typhoon Otto (1998) —Characteristics of Eyewall and Rainbands with and Without the Influence of Taiw
Journal of the Meteorological Society of Japan, Vol. 83, No. 6, pp. 1001--1023, 2005 1001 Doppler Radar Analysis of Typhoon Otto (1998) —Characteristics of Eyewall and Rainbands with and without the Influence of Taiwan Orography Tai-Hwa HOR, Chih-Hsien WEI, Mou-Hsiang CHANG Department of Applied Physics, Chung Cheng Institute of Technology, National Defense University, Taiwan, Republic of China and Che-Sheng CHENG Chinese Air Force Weather Wing, Taiwan, Republic of China (Manuscript received 27 October 2004, in final form 26 August 2005) Abstract By using the observational data collected by the C-band Doppler radar which was located at the Green Island off the southeast coast of Taiwan, as well as the offshore island airport and ground weather stations, this article focuses on the mesoscale analysis of inner and outer rainband features of Typhoon Otto (1998), before and after affected by the Central Mountain Range (CMR) which exceeds 3000 m in elevation while the storm was approaching Taiwan in the northwestward movement. While the typhoon was over the open ocean and moved north-northwestward in speed of 15 km/h, its eyewall was not well organized. The rainbands, separated from the inner core region and located at the first and second quadrants relative to the moving direction of typhoon, were embedded with active con- vections. The vertical cross sections along the radial showed that the outer rainbands tilted outward and were more intense than the inner ones. As the typhoon system gradually propagated to the offshore area near the southeast coast of Taiwan, the semi-elliptic eyewall was built up at the second and third quad- rants. -
1 29Th Conference on Hurricanes and Tropical Meteorology, 10–14 May 2010, Tucson, Arizona
9C.3 ASSESSING THE IMPACT OF TOTAL PRECIPITABLE WATER AND LIGHTNING ON SHIPS FORECASTS John Knaff* and Mark DeMaria NOAA/NESDIS Regional and Mesoscale Meteorology Branch, Fort Collins, Colorado John Kaplan NOAA/AOML Hurricane Research Division, Miami, Florida Jason Dunion CIMAS, University of Miami – NOAA/AOML/HRD, Miami, Florida Robert DeMaria CIRA, Colorado State University, Fort Collins, Colorado 1. INTRODUCTION 1 would be anticipated from the Clausius-Clapeyron relationships (Stephens 1990). This study is motivated by the potential of two The TPW is typically estimated by its rather unique datasets, namely measures of relationship with certain passive microwave lightning activity and Total Precipitable Water channels ranging from 19 to 37 GHz (Kidder and (TPW), and their potential for improving tropical Jones 2007). These same channels, particularly cyclone intensity forecasts. 19GHz in the inner core region, have been related The plethora of microwave imagers in low to tropical cyclone intensity change (Jones et al earth orbit the last 15 years has made possible the 2006). TPW fields also offer an excellent regular monitoring of water vapor and clouds over opportunity to monitor real-time near core the earth’s oceanic areas. One product that has atmospheric moisture, which like rainfall (i.e. much utility for short-term weather forecasting is 19GHz) is related to intensity changes as the routine monitoring of total column water vapor modeling studies of genesis/formation suggest or TPW. that saturation of the atmospheric column is In past studies lower environmental moisture coincident or precede rapid intensification (Nolan has been shown to inhibit tropical cyclone 2007). development and intensification (Dunion and In addition to the availability of real-time TPW Velden 2004; DeMaria et al 2005, Knaff et al data, long-range lightning detection networks now 2005). -
High-Resolution Hurricane Forecasts
H u r r i c a n e p r e d i c t i o n High-Resolution Hurricane Forecasts Widely varying scales of atmospheric motion make it extremely difficult to predict hurricane intensity, even after decades of research. A new model capable of resolving a hurricane’s deep convection motions was tested on a large sample of Atlantic tropical cyclones. Results show that using finer resolution can improve storm intensity predictions. redicting a hurricane’s intensity re- Most current weather prediction uses grid-based mains a daunting challenge even after rather than spectral-based models (such as Fourier four decades of research. The intrinsic or some other basis function).1 Statistical analy- difficulties lie in the vast range of spa- sis of energy spectra reveal that motions with Ptial and temporal scales of atmospheric motions scales smaller than approximately six to seven grid that affect tropical cyclone intensity. The range of points aren’t well resolved.2 Therefore, the mini- spatial scales is literally millimeters to 1,000 kilo- mum resolvable physical length scales are nearly meters or more. 1 km horizontally and perhaps 300 m vertically. Atmospheric dynamical models must account Given current computing capability, however, for all these scales simultaneously. Being a non- timely numerical forecasts must be run on much linear system, these scales can interact. Although coarser grids. forecasters must make approximations to keep What does this mean for hurricane forecasts? computations finite, there’s a continued push for We believe that it’s important to resolve clouds— finer resolution to capture as many of these scales at least the largest cumulonimbus-producing as possible. -
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HURRICANE FRED (2015) Cape Verde’s First Hurricane in Modern Times: Observations, Impacts, and Lessons Learned GREGORY S. JENKINS, ESTER BRITO, EMANUEL SOARES, SEN CHIAO, JOSE PIMENTA LIMA, BENVENDO TAVARES, ANGELO CARDOSO, FRANCISCO EVORA, AND MARIA MONTEIRO Surface and satellite observations along with WRF Model forecasts provide a unique view of Hurricane Fred, the first to strike Cape Verde in 124 years. ropical cyclones remain the deadliest form of inhibiting factor to development because of dry air, short- to medium-range weather hazards (Obasi positive stability, and wind shear (Evan et al. 2006). T1994). While track forecasts have improved signif- However, dust associated with the SAL may also icantly, tropical cyclogenesis and rapid intensification potentially lead to convective invigoration through remain challenges and have been the focus of recent microphysical processes (Koren et al. 2005; Jenkins field campaigns (Montgomery et al. 2012; Braun et al. et al. 2008; Rosenfeld et al. 2012). While infrequent, 2013; Rogers et al. 2013). In the extreme eastern At- tropical depressions and storms have formed near lantic, tropical cyclones are less frequent than in the the Cape Verde islands, as was the case during the central and western Atlantic because the waters are NASA African Monsoon Multidisciplinary Analysis cooler and the Saharan air layer (SAL) can act as an (NAMMA) campaign with Tropical Depression 8 and Tropical Storm (TS) Debby (Zipser et al. 2009; Zawislak and Zipser 2010). AFFILIATIONS: JENKINS—Department of Meteorology, The Cape Verde is located approximately 400 miles Pennsylvania State University, University Park, Pennsylvania; (~644 km) to the west of Senegal. It comprises 10 BRITO, SOARES, PIMENTA LIMA, TAVARES, CARDOSO, EVORA, AND islands, with significant variations in climate and land- MONTEIRO—Institute for Meteorology and Geophysics, Ilha do Sal, scape among the islands. -
High-Resolution Hurricane Forecasts Chris Davis, Wei Wang, Steven
High-resolution Hurricane Forecasts Chris Davis, Wei Wang, Steven Cavallo, James Done, Jimy Dudhia, Sherrie Fredrick, John Michalakes, Ginger Caldwell, and Tom Engel National Center for Atmospheric Research1 Boulder, Colorado Ryan Torn University at Albany, SUNY Albany, New York Submitted to Computing in Science and Engineering Revised, April, 2010 Corresponding Author: Christopher A. Davis P.O. Box 3000 Boulder, CO 80307 [email protected] Phone: 303-497-8990 Fax: 303-497-8181 1 The National Center for Atmospheric Research is sponsored by the National Science Foundation. 2 Abstract The authors discuss the challenges of predicting hurricanes using dynamic numerical models of the atmosphere-ocean system. The performance of particular model is investigated for a large sample of Atlantic tropical cyclones from the 2005, 2007 and 2009 hurricane seasons. The model, derived from the Weather Research and Forecasting (WRF) model, is capable of resolving the deep convective motions within a hurricane and the eye and eye wall of the storm. The use of finer resolution leads to demonstrably improved predictions of storm intensity compared with predictions from coarser resolution models. Possible future real-time applications of this model in a high-performance computing environment are discussed using hurricane Bill (2009) as an example. These applications are well suited to massively parallel architectures. 3 1. Introduction The prediction of hurricane intensity remains a daunting challenge even after four decades of research. The intrinsic difficulties lay in the vast range of spatial and temporal scales of atmospheric motions that affect tropical cyclone intensity. The range of spatial scales is literally millimeters to 1000 kilometers or more. -
& ~ Hurricane Season Review ~
& ~ Hurricane Season Review ~ Tropical Storm Erika: Wednesday August 26th as it approached the Eastern Caribbean St. Maarten Meteorological Department St. Maarten Airport Rd. # 69, Simpson Bay (721) 545-2024 or (721) 545-4226 www.meteosxm.com MDS Climatological Summary 2015 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. Published by: Meteorological Department St. Maarten Airport Road #69, 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 2016 Page 2 of 29 MDS Climatological Summary 2015 Table of Contents Introduction.............................................................................................................. 4 Island Climatology……............................................................................................. 5 About Us …………………………………………………………………………………….……………… 6 Hurricane Season.................................................................................................... 8 Local Effects..................................................................................................... -
2009 U.S. Hurricane 2009 U.S. Hurricane Season Was Calmest In
2009 U.S. Hurricane Season Was Calmest In 12 Years December 1, 2009 SHARE THIS EN ESPAÑOL DOWNLOAD TO PDF Winter Storms, Strong Winds, Tornadoes, and Thunderstorms Tested Insurers Earlier in the Year INSURANCE INFORMATION INSTITUTE New York Press Office: (212) 346-5500; [email protected] Washington Press Office: (202) 833-1580 NEW YORK, December 1, 2009 — With the official end of the hurricane season behind them, U.S. coastal residents are no doubt grateful for the relative calm of the 2009 season, although not every year can be expected to be as quiet as this one. Between June 1 and November 30, 2009, only nine named storms developed in the Atlantic basin, three of which became hurricanes. These are the lowest totals in each category since 1997, according to the Insurance Information Institute (I.I.I.). “The 2009 season is a welcome respite from 2008, when hurricanes Gustav and Ike disrupted hundreds of thousands of lives in Louisiana and Texas, and caused $14.65 billion in insured losses,” said Dr. Robert Hartwig, an economist and president of the I.I.I. “Profits in an industry like insurance must be seen over the long term. A single hurricane, or a string of large losses, can wipe out insurer profits from previous years, or even decades. And insurers must be prepared to pay for these losses, irrespective of the current economic conditions.” The nine named storms, according to a Colorado State University analysis of the 2009 Atlantic hurricane season, were, in chronological order: Tropical Storm Ana (Aug. 15-16) Hurricane Bill (Aug. -
10-Year Record As Hurricane Season Ends with No Florida Landfalls
10-year record as hurricane season ends with no Florida landfalls November 27, 2015 | Filed in: Uncategorized. Kimberly Miller @kmillerweather In the spring of 2015, the global atmospheric force El Nino began mustering a strength so formidable that one scientist likened it to Godzilla. The meteorological event, one of the most potent on record, raged through hurricane season to dissolve burgeoning storms with the efficiency of the campy monster’s atomic breath. And with storm season whimpering to an end Monday, 2015 marks an unprecedented 10 years since a hurricane has hit the Sunshine State. But the lack of landfalls this year doesn’t mean there weren’t surprises, and a few tense moments. Tropical Storm Ana popped up May 8 nearly a month before hurricane season’s official June 1 start date. August’s Hurricane Fred was the first hurricane to hit the Cape Verde Islands since 1892. Tropical Storm Erika drove some South Florida residents to batten down the hatches and board up the windows when it was forecast to be a Category 1 with a bullseye on Palm Beach County. Florida declared a state of emergency in preparation for Erika, but the August storm never reached hurricane strength, sputtering to its death over the mountains of Cuba. “This was a below average season, but not astonishingly below,” said Tim Hall, a hurricane researcher and senior scientist at NASA Goddard Institute for Space Studies. “It’s just that the storms didn’t make a U.S. landfall.” In all, there were 11 named storms in the Atlantic this season, four of which became hurricanes. -
RMS 2015 North Atlantic Hurricane Season Review V3.Indd
2015 North Atlantic Hurricane Season Review WHITEPAPER Executive Summary The 2015 North Atlantic hurricane season was a quiet one, closing with eleven named storms, four hurricanes, and two major hurricanes (Category 3 or stronger). This year stands as the third successive quiet hurricane season in the Atlantic Basin marked by predominantly short-lived, low-intensity storms. Forecast groups predicted that below-average sea surface temperatures (SSTs) and above-average sea-level pressure in the Atlantic Main Development Region (MDR)1 would continue through the 2015 season. These conditions, combined with the anticipated development of a strong of El Niño event, were expected to inhibit cyclogenesis in 2015, leading to a below-average season. Although predicted SST and sea-level pressure conditions did not materialize, 2015 was indeed a quiet season, as a result of the anticipated El Niño event, which is currently tied with 1997 as the strongest event on record. In addition to the strong El Niño event, the scientific community identified a number of other oceanic and atmospheric conditions detrimental to hurricane formation in 2015: above-average wind shear across the Caribbean and the central tropical Atlantic, anomalously low Atlantic mid-level moisture, strong steering currents over the eastern United States, and anomalously high tropical Atlantic subsidence (sinking air) in the MDR. Many of these conditions were also present in the 2013 and 2014 hurricane seasons, inhibiting cyclogenesis and resulting in below-average activity in the Atlantic Basin. The conclusion of the 2015 season extends the longest period on record to ten years with no major U.S. -
The Rapid Weakening of Hurricane Fred (2009)
University at Albany, State University of New York Scholars Archive Atmospheric & Environmental Sciences Honors College Spring 5-2020 The Rapid Weakening of Hurricane Fred (2009) Christina Talamo University at Albany, State University of New York, [email protected] Follow this and additional works at: https://scholarsarchive.library.albany.edu/honorscollege_daes Part of the Atmospheric Sciences Commons, Climate Commons, and the Environmental Sciences Commons Recommended Citation Talamo, Christina, "The Rapid Weakening of Hurricane Fred (2009)" (2020). Atmospheric & Environmental Sciences. 21. https://scholarsarchive.library.albany.edu/honorscollege_daes/21 This Honors Thesis is brought to you for free and open access by the Honors College at Scholars Archive. It has been accepted for inclusion in Atmospheric & Environmental Sciences by an authorized administrator of Scholars Archive. For more information, please contact [email protected]. The Rapid Weakening of Hurricane Fred (2009) An honors thesis presented to the Department of Atmospheric and Environmental Sciences, University at Albany, State University of New York in partial fulfillment of the requirements for graduation with Honors in Atmospheric Science and graduation from The Honors College Christina Talamo Research Advisor: Kristen Corbosiero, Ph.D. May, 2020 Abstract This research project discusses the rapid weakening of Hurricane Fred, a major Category 3 hurricane that occurred in the Atlantic basin during the 2009 Atlantic hurricane season. Between the days of 9 September and 13 September, Fred remained stationary off the coast of Africa in the Atlantic Ocean and never made landfall, all the while consistently weakening over open ocean from a major Category 3 hurricane to a tropical storm. In the Atlantic basin, I will define the rapid weakening, or RW, of a tropical cyclone as a decrease in the storm’s maximum sustained winds by 10.3 m s⁻¹ in a continuous 24-hour period. -
National Hurricane Operations Plan
U.S. DEPARTMENT OF COMMERCE/ National Oceanic and Atmospheric Administration OFFICE OF THE FEDERAL COORDINATOR FOR METEOROLOGICAL SERVICES AND SUPPORTING RESEARCH National Hurricane Operations Plan FCM-P12-2001 Washington, DC Hurricane Keith - 1 October 2000 May 2001 THE FEDERAL COMMITTEE FOR METEOROLOGICAL SERVICES AND SUPPORTING RESEARCH (FCMSSR) MR. SCOTT B. GUDES, Chairman MR. MONTE BELGER Department of Commerce Department of Transportation DR. ROSINA BIERBAUM MS. MARGARET LAWLESS (Acting) Office of Science and Technology Policy Federal Emergency Management Agency DR. RAYMOND MOTHA DR. GHASSEM R. ASRAR Department of Agriculture National Aeronautics and Space Administration MR. JOHN J. KELLY, JR. Department of Commerce DR. MARGARET S. LEINEN National Science Foundation CAPT FRANK GARCIA, USN Department of Defense MR. PAUL MISENCIK National Transportation Safety Board DR. ARISTIDES PATRINOS Department of Energy MR. ROY P. ZIMMERMAN U.S. Nuclear Regulatory Commission DR. ROBERT M. HIRSCH Department of the Interior DR. JOEL SCHERAGA (Acting) Environmental Protection Agency MR. RALPH BRAIBANTI Department of State MR. SAMUEL P. WILLIAMSON Federal Coordinator MR. RANDOLPH LYON Office of Management and Budget MR. JAMES B. HARRISON, Executive Secretary Office of the Federal Coordinator for Meteorological Services and Supporting Research THE INTERDEPARTMENTAL COMMITTEE FOR METEOROLOGICAL SERVICES AND SUPPORTING RESEARCH (ICMSSR) MR. SAMUEL P. WILLIAMSON, Chairman DR. JONATHAN M. BERKSON Federal Coordinator United States Coast Guard Department of Transportation DR. RAYMOND MOTHA Department of Agriculture DR. JOEL SCHERAGA (Acting) Environmental Protection Agency MR. JOHN E. JONES, JR. Department of Commerce MR. JOHN GAMBEL Federal Emergency Management Agency CAPT FRANK GARCIA, USN Department of Defense DR. RAMESH KAKAR National Aeronautics and Space MR.