Eastern North Pacific Hurricane Season of 2006
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Climatology, Variability, and Return Periods of Tropical Cyclone Strikes in the Northeastern and Central Pacific Ab Sins Nicholas S
Louisiana State University LSU Digital Commons LSU Master's Theses Graduate School March 2019 Climatology, Variability, and Return Periods of Tropical Cyclone Strikes in the Northeastern and Central Pacific aB sins Nicholas S. Grondin Louisiana State University, [email protected] Follow this and additional works at: https://digitalcommons.lsu.edu/gradschool_theses Part of the Climate Commons, Meteorology Commons, and the Physical and Environmental Geography Commons Recommended Citation Grondin, Nicholas S., "Climatology, Variability, and Return Periods of Tropical Cyclone Strikes in the Northeastern and Central Pacific asinB s" (2019). LSU Master's Theses. 4864. https://digitalcommons.lsu.edu/gradschool_theses/4864 This Thesis is brought to you for free and open access by the Graduate School at LSU Digital Commons. It has been accepted for inclusion in LSU Master's Theses by an authorized graduate school editor of LSU Digital Commons. For more information, please contact [email protected]. CLIMATOLOGY, VARIABILITY, AND RETURN PERIODS OF TROPICAL CYCLONE STRIKES IN THE NORTHEASTERN AND CENTRAL PACIFIC BASINS A Thesis Submitted to the Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College in partial fulfillment of the requirements for the degree of Master of Science in The Department of Geography and Anthropology by Nicholas S. Grondin B.S. Meteorology, University of South Alabama, 2016 May 2019 Dedication This thesis is dedicated to my family, especially mom, Mim and Pop, for their love and encouragement every step of the way. This thesis is dedicated to my friends and fraternity brothers, especially Dillon, Sarah, Clay, and Courtney, for their friendship and support. This thesis is dedicated to all of my teachers and college professors, especially Mrs. -
Big Early Voting Turnout
SPORTS POW WOW FRIDAY FOOTBALL WACCAMAW SIOUAN MATCHES YIELD WINS FOR POW WOW WAS SCHS, ECHS SATURDAY uu SPORTS 3B uu POW WOW 10A The News Reporter Published since 1890 every Monday and Thursday for the County of Columbus and her people. WWW.NRCOLUMBUS.COM Monday, November 7, 2016 75 CENTS Big early voting turnout By Allen Turner [email protected] Early voting ended Saturday af- ter two weeks of heavy turnout as other voters prepared to go to the polls on the official Election Day Tuesday. Polls will open at 6:30 a.m. on Tuesday at all 26 Columbus County voting precincts and remain open until 7:30 p.m. One voting location, the Fair Bluff precinct, has been moved from its usual location of Fair Bluff Fire and Rescue to Johnny’s Sandwich Shop at 899 Main St., due to damage from Hurricane Matthew at the fire department. Complete numbers are not available on how many Columbus Countians cast early ballots be- uu VOTING 6A Photo by Grant Merritt Festival Queen Rachel McPherson and her six Belles on their float were escorted by cadets from Camden Military Academy. Bridge NCFS fills gaps during response, recovery could be By Jefferson Weaver lands, Malcolm said the agency’s mis- [email protected] sion includes emergency response. complete “It was a natural outgrowth of fire- Among the red, blue, yellow and fighting,” he explained. “It really isn’t white vehicles helping Columbus that unusual for Forest Service crews County residents during Hurricane to be deployed in a natural disaster.” in spring Matthew, there were a lot of green Malcolm said NCFS crews have trucks as well. -
Notable Tropical Cyclones and Unusual Areas of Tropical Cyclone Formation
A flood is an overflow of an expanse of water that submerges land.[1] The EU Floods directive defines a flood as a temporary covering by water of land not normally covered by water.[2] In the sense of "flowing water", the word may also be applied to the inflow of the tide. Flooding may result from the volume of water within a body of water, such as a river or lake, which overflows or breaks levees, with the result that some of the water escapes its usual boundaries.[3] While the size of a lake or other body of water will vary with seasonal changes in precipitation and snow melt, it is not a significant flood unless such escapes of water endanger land areas used by man like a village, city or other inhabited area. Floods can also occur in rivers, when flow exceeds the capacity of the river channel, particularly at bends or meanders. Floods often cause damage to homes and businesses if they are placed in natural flood plains of rivers. While flood damage can be virtually eliminated by moving away from rivers and other bodies of water, since time out of mind, people have lived and worked by the water to seek sustenance and capitalize on the gains of cheap and easy travel and commerce by being near water. That humans continue to inhabit areas threatened by flood damage is evidence that the perceived value of living near the water exceeds the cost of repeated periodic flooding. The word "flood" comes from the Old English flod, a word common to Germanic languages (compare German Flut, Dutch vloed from the same root as is seen in flow, float; also compare with Latin fluctus, flumen). -
ANNUAL SUMMARIES Eastern North Pacific Hurricane Season of 2000
3004 MONTHLY WEATHER REVIEW VOLUME 129 ANNUAL SUMMARIES Eastern North Paci®c Hurricane Season of 2000 MILES B. LAWRENCE,LIXION A. AVILA,JACK L. BEVEN,JAMES L. FRANKLIN,RICHARD J. PASCH, AND STACY R. STEWART National Hurricane Center, Tropical Prediction Center, NCEP, NOAA/NWS, Miami, Florida (Manuscript received 16 May 2001, in ®nal form 29 June 2001) ABSTRACT There were 11 tropical storms, 6 hurricanes, and 2 tropical depressions during the 2000 eastern North Paci®c hurricane season. Two tropical storms made landfall in Mexico. 1. Introduction teorological analyses. After each cyclone has ended, a There were 11 tropical storms and 6 hurricanes in the ``best track'' is determined using all available data. The eastern Paci®c basin in the year 2000, totaling 17 named best track is a table of 6-hourly estimates of the cy- tropical cyclones. This is two more than the 1966±99 clone's center position, maximum 1-min wind speed (10 m above the surface), and minimum sea level pressure.2 average of 15 named tropical cyclones.1 In contrast, the total of six hurricanes is three less than the long-term With the exception of a few aerial reconnaissance average of nine. There were also two tropical depres- ¯ights, all of this season's best track data were derived sions that did not reach tropical storm strength. The from satellite data and occasional land and ship reports. named tropical cyclones are listed in Table 1, along with The method for estimating the maximum 1-min wind their dates, maximum 1-min surface wind speed, min- speed from satellite imagery is the Dvorak technique imum sea level pressure, and directly attributable deaths. -
Port of Manzanillo: Climate Risk Management
FINAL REPORT Port of Manzanillo: Climate Risk Management September 2015 Mejorando vidas Copyright © 2015 Inter-American Development Bank. This work is licensed under a Creative Commons IGO 3.0 Attribution-NonCommercial-NoDerivatives (CC-IGO BY-NC- ND 3.0 IGO) license (http://creativecommons.org/licenses/ by-nc-nd/3.0/igo/legalcode) and may be reproduced with attribution to the IDB and for any non-commercial purpose. No derivative work is allowed. Any dispute related to the use of the works of the IDB that cannot be settled amicably shall be submitted to arbitration pursuant to the UNCITRAL rules. The use of the IDB’s name for any purpose other than for attribution, and the use of IDB’s logo shall be subject to a separate written license agreement between the IDB and the user and is not authorized as part of this CC-IGO license. Note that link provided above includes additional terms and conditions of the license. The opinions expressed in this publication are those of the authors and do not necessarily reflect the views of the Inter- American Development Bank, its Board of Directors, or the countries they represent. 2 FINAL REPORT Port of Manzanillo: Climate Risk Management September 2015 Manzanillo, Mexico Mejorando vidas © 2015, Inter-American Development Bank State of Colima: Instituto para el Medio Ambiente y Desarrollo Sustentable del Estado de Colima (IMADES), Centro Universitario de Gestión Ambiental (CEUGEA, AUTHORED BY Universidad de Colima), Secretaría de Desarrollo Urbano del Estado de Colima. Richenda Connell and Laura Canevari, Acclimatise Group Limited; Chris Coleby, Stewart Wright, John N. -
Reducing Economic Vulnerability in Mexico. Natural Disasters, Foreign Trade and Agriculture
ePubWU Institutional Repository Sergio Omar Saldaña-Zorrilla Reducing economic vulnerability in Mexico. Natural disasters, foreign trade and agriculture. Thesis Original Citation: Saldaña-Zorrilla, Sergio Omar (2006) Reducing economic vulnerability in Mexico. Natural disasters, foreign trade and agriculture. Doctoral thesis, WU Vienna University of Economics and Business. This version is available at: https://epub.wu.ac.at/1936/ Available in ePubWU: October 2006 ePubWU, the institutional repository of the WU Vienna University of Economics and Business, is provided by the University Library and the IT-Services. The aim is to enable open access to the scholarly output of the WU. http://epub.wu.ac.at/ Reducing Economic Vulnerability in Mexico: Natural Disasters, Foreign Trade and Agriculture Verringerung wirtschaftlicher Vulnerabilität in Mexiko: Naturkatastrophen, Außenhandel und Landwirtschaft Eingereicht von: Sergio Omar Saldaña-Zorrilla Dissertation zur Erlangung des akademischen Grades Doktor der Sozial- und Wirtschaftswissenschaften Doctor rerum socialium oeconomicarumque (Dr.rer.soc.oec.) Fachgebiet Volkswirtschaftslehre 1. Beurteiler: O.Univ.Prof.Dkfm.Dr. Leonhard Bauer, WU-Wien 2. Beurteiler: O.Univ.Prof. Dr. Uwe Schubert, WU-Wien Externe Gutachterin: Dr. Joanne Linerooth-Bayer, IIASA Wien, im Oktober 2006 Acknowledgements The author wishes to thank the following persons and institutions for contributing to the success of this dissertation. Above all, special thanks to Dr. Joanne Linerooth-Bayer, Program Leader of the Risk and Vulnerability Program at the International Institute for Applied Systems Analysis (IIASA), who has continually supported me with her confidence, advice, and supervision since the beginning of this process; Dr. Uwe Schubert for his confidence, feedback, and guidance in preparing the dissertation; Dr. Leonhard Bauer for his encouragement in focusing on a more needs-based scientific approach. -
Objective Identification of Annular Hurricanes
FEBRUARY 2008 KNAFFETAL. 17 Objective Identification of Annular Hurricanes JOHN A. KNAFF NOAA/NESDIS/Center for Satellite Applications and Research, Fort Collins, Colorado THOMAS A. CRAM Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado ANDREA B. SCHUMACHER Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado JAMES P. KOSSIN Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin—Madison, Madison, Wisconsin MARK DEMARIA NOAA/NESDIS/Center for Satellite Applications and Research, Fort Collins, Colorado (Manuscript received 26 March 2006, in final form 21 June 2007) ABSTRACT Annular hurricanes are a subset of intense tropical cyclones that have been shown in previous work to be significantly stronger, to maintain their peak intensities longer, and to weaken more slowly than average tropical cyclones. Because of these characteristics, they represent a significant forecasting challenge. This paper updates the list of annular hurricanes to encompass the years 1995–2006 in both the North Atlantic and eastern–central North Pacific tropical cyclone basins. Because annular hurricanes have a unique ap- pearance in infrared satellite imagery, and form in a specific set of environmental conditions, an objective real-time method of identifying these hurricanes is developed. However, since the occurrence of annular hurricanes is rare (ϳ4% of all hurricanes), a special algorithm to detect annular hurricanes is developed that employs two steps to identify the candidates: 1) prescreening the data and 2) applying a linear discriminant analysis. This algorithm is trained using a dependent dataset (1995–2003) that includes 11 annular hurri- canes. The resulting algorithm is then independently tested using datasets from the years 2004–06, which contained an additional three annular hurricanes. -
Economic Impact of Disasters: Evidence from DALA Assessments by ECLAC in Latin America and the Caribbean
ECLAC SUBREGIONAL OFFICE IN MEXICO S E R I estudios y perspectivas 117 Economic impact of disasters: Evidence from DALA assessments by ECLAC in Latin America and the Caribbean Ricardo Zapata Benjamín Madrigal ECLAC Subregional Office in Mexico Mexico City, November 2009 This document has been prepared by Ricardo Zapata Martí, Regional Advisor and Regional Focal Point for Disaster Evaluation of the Disaster Evaluation Unit, ECLAC, with the collaboration of Benjamín Madrigal. The views expressed in this document, which has been reproduced without formal editing, are those of the authors and do not necessarily reflect the views of the Organization. United Nations Publication ISSN printed version 1680-8800 ISSN online version 1684-0364 ISBN: 978-92-1-121731-5 LC/L.3172-P LC/MEX/L.941 Sales No.: E.09.II.G.146 Copyright © United Nations, November 2009. All rights reserved Printed in United Nations, Mexico City, Mexico Applications for the right to reproduce this work are welcomed and should be sent to the Secretary of the Publications Board, United Nations Headquarters, New York, N.Y. 10017, U.S.A. Member States and their governmental institutions may reproduce this work without prior authorization, but are requested to mention the source and inform the United Nations of such reproduction. CEPAL - Serie Estudios y perspectivas – Mexico – No 117 Economic impact of disasters: Evidence from DALA … Table of contents Abstract ............................................................................................ 5 I. Disasters, impact on development indices as observed in Latin America and the Caribbean.............................................. 7 1. Summary of impact of disasters in economic terms................... 7 2. Absolute and relative economic impact of disasters in Latin America and the Caribbean (LAC). -
A Global Climatology of Tropical Cyclone Eyes
JULY 2018 K N A P P E T A L . 2089 A Global Climatology of Tropical Cyclone Eyes KENNETH R. KNAPP NOAA/National Centers for Environmental Information, Asheville, North Carolina CHRISTOPHER S. VELDEN AND ANTHONY J. WIMMERS Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin–Madison, Madison, Wisconsin (Manuscript received 13 November 2017, in final form 4 May 2018) ABSTRACT Intense tropical cyclones (TCs) generally produce a cloud-free center with calm winds, called the eye. The Automated Rotational Center Hurricane Eye Retrieval (ARCHER) algorithm is used to analyze Hurricane Satellite (HURSAT) B1 infrared satellite imagery data for storms occurring globally from 1982 to 2015. HURSAT B1 data provide 3-hourly observations of TCs. The result is a 34-yr climatology of eye location and size. During that time period, eyes are identified in about 13% of all infrared images and slightly more than half of all storms produced an eye. Those that produce an eye have (on average) 30 h of eye scenes. Hurricane Ioke (1992) had the most eye images (98, which is 12 complete days with an eye). The median wind speed of a 2 2 system with an eye is 97 kt (50 m s 1) [cf. 35 kt (18 m s 1) for those without an eye]. Eyes are much more frequent in the Northern Hemisphere (particularly in the western Pacific) but eyes are larger in the Southern Hemisphere. The regions where eyes occur are expanding poleward, thus expanding the area at risk of TC-related damage. Also, eye scene occurrence can provide an objective measure of TC activity in place of those based on maximum wind speeds, which can be affected by available observations and forecast agency practices. -
2017 Edition
Regional Association IV – Hurricane Operational Plan for North America, Central America and the Caribbean Tropical Cyclone Programme Report No. TCP-30 2017 edition TER WA E T A CLIM R THE A WE World Meteorological Organization WMO-No. 1163 WMO-No. 1163 © World Meteorological Organization, 2017 The right of publication in print, electronic and any other form and in any language is reserved by WMO. Short extracts from WMO publications may be reproduced without authorization, provided that the complete source is clearly indicated. Editorial correspondence and requests to publish, reproduce or translate this publication in part or in whole should be addressed to: Chair, Publications Board World Meteorological Organization (WMO) 7 bis, avenue de la Paix Tel.: +41 (0) 22 730 84 03 P.O. Box 2300 Fax: +41 (0) 22 730 80 40 CH-1211 Geneva 2, Switzerland E-mail: [email protected] ISBN 978-92-63-11163-0 NOTE The designations employed in WMO publications and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of WMO concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific companies or products does not imply that they are endorsed or recommended by WMO in preference to others of a similar nature which are not mentioned or advertised. The findings, interpretations and conclusions expressed in WMO publications with named authors are those of the authors alone and do not necessarily reflect those of WMO or its Members. -
Tropical Cyclone Report Hurricane Daniel (EP052006) 16-26 July 2006
Tropical Cyclone Report Hurricane Daniel (EP052006) 16-26 July 2006 Jack Beven National Hurricane Center 30 November 2006 (updated 4 January 2007 for best track intensities and verification) Daniel reached category 4 intensity on the Saffir-Simpson Hurricane Scale over the open eastern North Pacific. a. Synoptic History Daniel formed from a tropical wave that moved westward from the coast of Africa on 2 July. The wave crossed the Atlantic Ocean and Caribbean Sea with little associated convection and reached the eastern North Pacific Ocean on 12 July. As the wave moved westward, convection increased beginning on 13 July, and the system showed signs of convective organization starting on 15 July. It is estimated that the wave spawned a tropical depression near 1800 UTC 16 July about 455 n mi south-southwest of Manzanillo, Mexico. The “best track” chart of the tropical cyclone’s path is given in Fig. 1, with the wind and pressure histories shown in Figs. 2 and 3, respectively. The best track positions and intensities are listed in Table 1. The cyclone moved westward in a light vertical shear environment to the south of a large subtropical ridge. It strengthened into a tropical storm on 17 July and into a hurricane on 18 July. Daniel turned west-northwestward on 20 July, when intensification was briefly halted by an eyewall replacement cycle. Strengthening resumed after the cycle, and it is estimated that Daniel became a category 4 hurricane later that day about 965 n mi southwest of Cabo San Lucas, Mexico. Daniel turned westward on 21 July during a second eyewall replacement cycle. -
Trayectorias De Ciclones Tropicales (2006)
Trayectorias de ciclones tropicales (2006) 3 depresiones tropicales: 2-E, 18-E, 20-E 8 tormentas tropicales: Aletta, Emilia, Fabio, Gilma, Miriam, Norman, Olivia, Rosa 10 huracanes: Bud,Carlotta,Daniel,Hector,Ileana,John,Kristy,Lane,Paul,Sergio. Temporada 2006 • Mayo 27 – Noviembre 20 • 18 tormentas tropicales (Aletta,…,Sergio) • 2 sistemas • 12 sistemas entraron a tierra durante el periodo en septiembre: julio-septiembre John • 2 sistemas entraron a tierra Lane en septiembre y otro en octubre: (John, Lane) y 1 en octubre (Paul). Paul Vientos máximos: 190 km/h Ráfagas: 225 km/h Presión mínima: 955 mb Movimiento al NNW: 23 km/h 61 km/h 29 28 27 26 90 km/h 25 Hurricane Ileana 24 21-27 August 955 mb Hurricane 115 km/h Tropical Storm 23 Tropical Dep. Extratropical Subtr. Storm Subtr. Dep. Low / Wave 22 00 UTC Pos/Date 12 UTC Position PPP Min. press (mb) Huracán Ileana: 21-27 Ago. Ejemplo de un sistema “distante” que proporciona alto contenido de humedad y tormentas locales. Vientos máximos: 170 km/h Ráfagas: 207 km/h Presión mínima: 958 mb Movimiento al NNW: 13 km/h Diámetro del ojo: 18 km Alerta de Huracán: San Evaristo-Bahía Magdalena 61 km/h 90 km/h 115 km/h 4 700 mb (2737 m) 3 2 Pmín = 958 mb 1 Hurricane John Vmáx = 176 km/h (SE) 28 August-4 September 2006 31 Hurricane Tropical Storm Tropical Dep. Extratropical 30 Subtr. Storm Subtr. Dep. 948 mb 29 Low / Wave 00 UTC Pos/Date 28 12 UTC Position PPP Min. press (mb) Huracán John: 28 Ago.