Overview of the NASA Fourth Convection and Moisture Experiment
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Observed Hurricane Wind Speed Asymmetries and Relationships to Motion and Environmental Shear
1290 MONTHLY WEATHER REVIEW VOLUME 142 Observed Hurricane Wind Speed Asymmetries and Relationships to Motion and Environmental Shear ERIC W. UHLHORN NOAA/AOML/Hurricane Research Division, Miami, Florida BRADLEY W. KLOTZ Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, Florida TOMISLAVA VUKICEVIC,PAUL D. REASOR, AND ROBERT F. ROGERS NOAA/AOML/Hurricane Research Division, Miami, Florida (Manuscript received 6 June 2013, in final form 19 November 2013) ABSTRACT Wavenumber-1 wind speed asymmetries in 35 hurricanes are quantified in terms of their amplitude and phase, based on aircraft observations from 128 individual flights between 1998 and 2011. The impacts of motion and 850–200-mb environmental vertical shear are examined separately to estimate the resulting asymmetric structures at the sea surface and standard 700-mb reconnaissance flight level. The surface asymmetry amplitude is on average around 50% smaller than found at flight level, and while the asymmetry amplitude grows in proportion to storm translation speed at the flight level, no significant growth at the surface is observed, contrary to conventional assumption. However, a significant upwind storm-motion- relative phase rotation is found at the surface as translation speed increases, while the flight-level phase remains fairly constant. After removing the estimated impact of storm motion on the asymmetry, a significant residual shear direction-relative asymmetry is found, particularly at the surface, and, on average, is located downshear to the left of shear. Furthermore, the shear-relative phase has a significant downwind rotation as shear magnitude increases, such that the maximum rotates from the downshear to left-of-shear azimuthal location. -
Factors Affecting the Evolution of Hurricane Erin (2001) and the Distributions of Hydrometeors: Role of Microphysical Processes Ϩ GREG M
JANUARY 2006 M CFARQUHAR ET AL. 127 Factors Affecting the Evolution of Hurricane Erin (2001) and the Distributions of Hydrometeors: Role of Microphysical Processes ϩ GREG M. MCFARQUHAR,* HENIAN ZHANG,* GERALD HEYMSFIELD, ROBBIE HOOD,# JIMY DUDHIA,@ ϩ JEFFREY B. HALVERSON, AND FRANK MARKS JR.& *Department of Atmospheric Sciences, University of Illinois at Urbana–Champaign, Urbana, Illinois ϩNASA Goddard Space Flight Center, Greenbelt, Maryland #NASA Marshall Space Flight Center, Huntsville, Alabama @National Center for Atmospheric Research, Boulder, Colorado &NOAA/Hurricane Research Division, Miami, Florida (Manuscript received 11 November 2003, in final form 8 March 2005) ABSTRACT Fine-resolution simulations of Hurricane Erin are conducted using the fifth-generation Pennsylvania State University–NCAR Mesoscale Model (MM5) to investigate roles of thermodynamic, boundary layer, and microphysical processes on Erin’s structure and evolution. Choice of boundary layer scheme has the biggest impact on simulations, with the minimum surface pressure (Pmin) averaged over the last 18 h (when Erin is relatively mature) varying by over 20 hPa. Over the same period, coefficients used to describe graupel fall speeds (Vg) affect Pmin by up to 7 hPa, almost equivalent to the maximum 9-hPa difference between microphysical parameterization schemes; faster Vg and schemes with more hydrometeor categories generally give lower Pmin. Compared to radar reflectivity factor (Z) observed by the NOAA P-3 lower fuselage radar and the NASA ER-2 Doppler radar (EDOP) in Erin, all simulations overpredict the nor- malized frequency of occurrence of Z larger than 40 dBZ and underpredict that between 20 and 40 dBZ near the surface; simulations overpredict Z larger than 25 to 30 dBZ and underpredict that between 15 and 25 or 30 dBZ near the melting layer, the upper limit depending on altitude. -
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. -
Downloaded 10/01/21 04:51 PM UTC JULY 2003 ANNUAL SUMMARY 1455
1454 MONTHLY WEATHER REVIEW VOLUME 131 ANNUAL SUMMARY Atlantic Hurricane Season of 2001 JOHN L. BEVEN II, STACY R. STEWART,MILES B. LAWRENCE,LIXION A. AVILA,JAMES L. FRANKLIN, AND RICHARD J. PASCH NOAA/NWS/Tropical Prediction Center/National Hurricane Center, Miami, Florida (Manuscript received 19 July 2002, in ®nal form 9 December 2002) ABSTRACT Activity during the 2001 hurricane season was similar to that of the 2000 season. Fifteen tropical storms developed, with nine becoming hurricanes and four major hurricanes. Two tropical depressions failed to become tropical storms. Similarities to the 2000 season include overall activity much above climatological levels and most of the cyclones occurring over the open Atlantic north of 258N. The overall ``lateness'' of the season was notable, with 11 named storms, including all the hurricanes, forming after 1 September. There were no hurricane landfalls in the United States for the second year in a row. However, the season's tropical cyclones were responsible for 93 deaths, including 41 from Tropical Storm Allison in the United States, and 48 from Hurricanes Iris and Michelle in the Caribbean. 1. Overview of the 2001 season cycleÐsimultaneously exhibiting characteristics of both tropical and extratropical cyclones (Hebert 1973). The National Hurricane Center (NHC) tracked 15 No hurricanes struck the United States during 2001. tropical cyclones (TCs) that achieved tropical storm or The season thus joins the 2000, 1990, and 1951 seasons hurricane strength in the Atlantic basin during 2001 as years in which eight or more hurricanes occurred (Table 1). Nine of these became hurricanes and four without a U.S. -
Thor's Legions American Meteorological Society Historical Monograph Series the History of Meteorology: to 1800, by H
Thor's Legions American Meteorological Society Historical Monograph Series The History of Meteorology: to 1800, by H. Howard Frisinger (1977/1983) The Thermal Theory of Cyclones: A History of Meteorological Thought in the Nineteenth Century, by Gisela Kutzbach (1979) The History of American Weather (four volumes), by David M. Ludlum Early American Hurricanes - 1492-1870 (1963) Early American Tornadoes - 1586-1870 (1970) Early American Winters I - 1604-1820 (1966) Early American Winters II - 1821-1870 (1967) The Atmosphere - A Challenge: The Science of Jule Gregory Charney, edited by Richard S. Lindzen, Edward N. Lorenz, and George W Platzman (1990) Thor's Legions: Weather Support to the u.s. Air Force and Army - 1937-1987, by John F. Fuller (1990) Thor's Legions Weather Support to the U.S. Air Force and Army 1937-1987 John F. Fuller American Meteorological Society 45 Beacon Street Boston, Massachusetts 02108-3693 The views expressed in this book are those of the author and do not reflect the official policy or position of the Department of Defense or the United States Government. © Copyright 1990 by the American Meteorological Society. Permission to use figures, tables, and briefexcerpts from this monograph in scientific and educational works is hereby granted provided the source is acknowledged. All rights reserved. No part ofthis publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, elec tronic, mechanical, photocopying, recording, or otherwise, without the prior written permis sion ofthe publisher. ISBN 978-0-933876-88-0 ISBN 978-1-935704-14-0 (eBook) DOI 10.1007/978-1-935704-14-0 Softcover reprint of the hardcover 1st edition 1990 Library of Congress catalog card number 90-81187 Published by the American Meteorological Society, 45 Beacon Street, Boston, Massachusetts 02108-3693 Richard E. -
Dr. Louis Uccellini Assistant Administrator for Weather Services and Director of the National Weather Service, National Oceanic and Atmospheric Administration, U.S
Dr. Louis Uccellini Assistant Administrator for Weather Services and Director of the National Weather Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce Testimony to the Environment Subcommittee of the Committee on Science, Space, and Technology United States House of Representatives Field Hearing: Weathering the Storm: Improving Hurricane Resiliency through Research July 22, 2019 Good morning Chairwoman Fletcher, Ranking Member Marshall, and Members of the Subcommittee. I am Dr. Louis Uccellini, Director of the National Oceanic and Atmospheric Administration’s (NOAA) National Weather Service (NWS). Within the NWS, NOAA’s National Hurricane Center (NHC) issues the official forecast for all Atlantic and eastern Pacific tropical cyclones (hurricanes, tropical storms and tropical depressions) and their precursors. It is my honor to testify before you today on the state of the United States hurricane forecasting capability; our efforts to improve our understanding and prediction of hurricane impacts from storm surge, heavy precipitation, and high winds; and what hurricane research focus areas are needed to improve prediction. I come before you today to report that hurricane forecasting accuracy has improved tremendously over the past two decades. The NHC track (storm location) forecast errors have decreased every decade since forecast accuracy records were established in the 1960’s, and NHC has set new records almost every year. For perspective, the average two-day Atlantic forecast location error was reduced from around 300 miles (approximately 260 nautical miles (n mi), see Fig. 1) in the 1960s to near 85 miles in the 2010s. The five-day forecast for storm location is now better than the day-and-a-half forecast was in the 1970s. -
Low-Frequency Storminess Signal at Bermuda Linked to Cooling Events In
PUBLICATIONS Paleoceanography RESEARCH ARTICLE Low-frequency storminess signal at Bermuda linked 10.1002/2014PA002662 to cooling events in the North Atlantic region Key Points: Peter J. van Hengstum1, Jeffrey P. Donnelly2, Andrew W. Kingston3,4, Bruce E. Williams5, • Late Holocene storminess in Bermuda 6 7 6 4 is linked to North Atlantic cooling David B. Scott , Eduard G. Reinhardt , Shawna N. Little , and William P. Patterson • Coastal SSTs in Bermuda are linked to 1 2 NAO phasing over the late Holocene Department of Marine Sciences, Texas A&M University at Galveston, Galveston, Texas, USA, Department of Geology and 3 • Submarine caves can preserve Geophysics, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA, Department of Geoscience, University of paleoclimate records Calgary, Calgary, Alberta, Canada, 4Department of Geological Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, Canada, 5Bermuda Institute of Ocean Sciences, St. George’s, Bermuda, 6Department of Earth Sciences, Dalhousie University, Halifax, Nova Scotia, Canada, 7School of Geography and Earth Sciences, McMaster University, Hamilton, Ontario, Canada Correspondence to: P. J. van Hengstum, [email protected] Abstract North Atlantic climate archives provide evidence for increased storm activity during the Little Ice Age (150 to 600 calibrated years (cal years) B.P.) and centered at 1700 and 3000 cal years B.P., typically in centennial-scale sedimentary records. Meteorological (tropical versus extratropical storms) and climate forcings Citation: van Hengstum, P. J., J. P. Donnelly, of this signal remain poorly understood, although variability in the North Atlantic Oscillation (NAO) or Atlantic A. W. Kingston, B. E. Williams, D. B. Scott, Meridional Overturning Circulation (AMOC) are frequently hypothesized to be involved. -
Warm Core Structure of Hurricane Erin Diagnosed from High Altitude Dropsondes During CAMEX-4
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/4708170 Warm Core Structure of Hurricane Erin Diagnosed from High Altitude Dropsondes during CAMEX-4 Article in Journal of the Atmospheric Sciences · February 2003 DOI: 10.1175/JAS3596.1 · Source: NTRS CITATIONS READS 64 109 6 authors, including: Jeffrey Halverson Gerald Heymsfield University of Maryland, Baltimore County NASA 89 PUBLICATIONS 1,984 CITATIONS 183 PUBLICATIONS 2,695 CITATIONS SEE PROFILE SEE PROFILE Liz Ritchie UNSW Sydney 83 PUBLICATIONS 2,094 CITATIONS SEE PROFILE Some of the authors of this publication are also working on these related projects: Tropical Cyclone research View project NERC standard grant Calibration and validation studies over the North Atlantic and UK for the Global Precipitation Mission View project All content following this page was uploaded by Gerald Heymsfield on 21 January 2014. The user has requested enhancement of the downloaded file. JANUARY 2006 HALVERSON ET AL. 309 Warm Core Structure of Hurricane Erin Diagnosed from High Altitude Dropsondes during CAMEX-4 J. B. HALVERSON Mesoscale Atmospheric Processes Branch, NASA Goddard Space Flight Center, Greenbelt, Maryland J. SIMPSON AND G. HEYMSFIELD NASA Goddard Space Flight Center, Greenbelt, Maryland H. PIERCE Science Systems Applications, Inc., Lanham, Maryland T. HOCK Atmospheric Technology Division, National Center for Atmospheric Research, Boulder, Colorado L. RITCHIE University of New Mexico, Albuquerque, New Mexico (Manuscript received 7 November 2003, in final form 22 February 2005) ABSTRACT A combination of multiaircraft and several satellite sensors were used to examine the core of Hurricane Erin on 10 September 2001, as part of the Fourth Convection and Moisture Experiment (CAMEX-4) program. -
Atlantic Hurricane Database Uncertainty and Presentation of a New Database Format
3576 MONTHLY WEATHER REVIEW VOLUME 141 Atlantic Hurricane Database Uncertainty and Presentation of a New Database Format CHRISTOPHER W. LANDSEA AND JAMES L. FRANKLIN NOAA/NWS/NCEP/National Hurricane Center, Miami, Florida (Manuscript received 4 September 2012, in final form 31 December 2012) ABSTRACT ‘‘Best tracks’’ are National Hurricane Center (NHC) poststorm analyses of the intensity, central pressure, position, and size of Atlantic and eastern North Pacific basin tropical and subtropical cyclones. This paper estimates the uncertainty (average error) for Atlantic basin best track parameters through a survey of the NHC Hurricane Specialists who maintain and update the Atlantic hurricane database. A comparison is then made with a survey conducted over a decade ago to qualitatively assess changes in the uncertainties. Finally, the implications of the uncertainty estimates for NHC analysis and forecast products as well as for the pre- diction goals of the Hurricane Forecast Improvement Program are discussed. 1. Introduction and compares the survey results to independently de- rived estimates from Torn and Snyder (2012). A similar ‘‘Best tracks’’ are National Hurricane Center (NHC) survey conducted in 1999 provides some insight into poststorm analyses of the intensity, central pressure, changes in dataset quality during the last decade. Fi- position, and size of tropical and subtropical cyclones nally, we discuss implications of the uncertainty esti- (Jarvinen et al. 1984), and represent the official histori- mates for NHC analysis/forecast products, as well as cal record for each storm. These analyses (apart from for the predictability goals of the Hurricane Forecast those for size) make up the database known as the hur- Improvement Program (Gall et al. -
An Improved Hurrican Wind Vector Retrieval Algorithm Using Sea Winds Scatterometer
University of Central Florida STARS Electronic Theses and Dissertations, 2004-2019 2009 An Improved Hurrican Wind Vector Retrieval Algorithm Using Sea Winds Scatterometer Peth Laupattarakasem University of Central Florida Part of the Electrical and Electronics Commons Find similar works at: https://stars.library.ucf.edu/etd University of Central Florida Libraries http://library.ucf.edu This Doctoral Dissertation (Open Access) is brought to you for free and open access by STARS. It has been accepted for inclusion in Electronic Theses and Dissertations, 2004-2019 by an authorized administrator of STARS. For more information, please contact [email protected]. STARS Citation Laupattarakasem, Peth, "An Improved Hurrican Wind Vector Retrieval Algorithm Using Sea Winds Scatterometer" (2009). Electronic Theses and Dissertations, 2004-2019. 4009. https://stars.library.ucf.edu/etd/4009 AN IMPROVED HURRICANE WIND VECTOR RETRIEVAL ALGORITHM USING SEAWINDS SCATTEROMETER by PETH LAUPATTARAKASEM M.S. Florida Atlantic University, 2003 A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the School of Electrical Engineering and Computer Science in the College of Engineering and Computer Science at the University of Central Florida Orlando, Florida Spring Term 2009 Major Professor: W. Linwood Jones © 2009 Peth Laupattarakasem ii ABSTRACT Over the last three decades, microwave remote sensing has played a significant role in ocean surface wind measurement, and several scatterometer missions have flown in space since early 1990’s. Although they have been extremely successful for measuring ocean surface winds with high accuracy for the vast majority of marine weather conditions, unfortunately, the conventional scatterometer cannot measure extreme winds condition such as hurricane. -
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. -
Skill of Synthetic Superensemble Hurricane Forecasts for the Canadian Maritime Provinces Heather Lynn Szymczak
Florida State University Libraries Electronic Theses, Treatises and Dissertations The Graduate School 2004 Skill of Synthetic Superensemble Hurricane Forecasts for the Canadian Maritime Provinces Heather Lynn Szymczak Follow this and additional works at the FSU Digital Library. For more information, please contact [email protected] THE FLORIDA STATE UNIVERSITY COLLEGE OF ARTS AND SCIENCES SKILL OF SYNTHETIC SUPERENSEMBLE HURRICANE FORECASTS FOR THE CANADIAN MARITIME PROVINCES By HEATHER LYNN SZYMCZAK A Thesis submitted to the Department of Meteorology in partial fulfillment of the requirements for the degree of Master of Science Degree Awarded: Fall Semester, 2004 The members of the Committee approve the Thesis of Heather Szymczak defended on 26 October 2004. _________________________________ T.N. Krishnamurti Professor Directing Thesis _________________________________ Philip Cunningham Committee Member _________________________________ Robert Hart Committee Member Approved: ____________________________________________ Robert Ellingson, Chair, Department of Meteorology ____________________________________________ Donald Foss, Dean, College of Arts and Science The Office of Graduate Studies has verified and approved the above named committee members. ii I would like to dedicate my work to my parents, Tom and Linda Szymczak, for their unending love and support throughout my long academic career. iii ACKNOWLEDGEMENTS First and foremost, I would like to extend my deepest gratitude to my major professor, Dr. T.N. Krishnamurti, for all his ideas, support, and guidance during my time here at Florida State. I would like to thank my committee members, Drs. Philip Cunningham and Robert Hart for all of their valuable help and suggestions. I would also like to extend my gratitude to Peter Bowyer at the Canadian Hurricane Centre for his help with the Canadian Hurricane Climatology.