Can a Warm Ocean Feature Cause a Typhoon to Intensify Rapidly?
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Climate Disasters in the Philippines: a Case Study of the Immediate Causes and Root Drivers From
Zhzh ENVIRONMENT & NATURAL RESOURCES PROGRAM Climate Disasters in the Philippines: A Case Study of Immediate Causes and Root Drivers from Cagayan de Oro, Mindanao and Tropical Storm Sendong/Washi Benjamin Franta Hilly Ann Roa-Quiaoit Dexter Lo Gemma Narisma REPORT NOVEMBER 2016 Environment & Natural Resources Program Belfer Center for Science and International Affairs Harvard Kennedy School 79 JFK Street Cambridge, MA 02138 www.belfercenter.org/ENRP The authors of this report invites use of this information for educational purposes, requiring only that the reproduced material clearly cite the full source: Franta, Benjamin, et al, “Climate disasters in the Philippines: A case study of immediate causes and root drivers from Cagayan de Oro, Mindanao and Tropical Storm Sendong/Washi.” Belfer Center for Science and International Affairs, Cambridge, Mass: Harvard University, November 2016. Statements and views expressed in this report are solely those of the authors and do not imply endorsement by Harvard University, the Harvard Kennedy School, or the Belfer Center for Science and International Affairs. Design & Layout by Andrew Facini Cover photo: A destroyed church in Samar, Philippines, in the months following Typhoon Yolanda/ Haiyan. (Benjamin Franta) Copyright 2016, President and Fellows of Harvard College Printed in the United States of America ENVIRONMENT & NATURAL RESOURCES PROGRAM Climate Disasters in the Philippines: A Case Study of Immediate Causes and Root Drivers from Cagayan de Oro, Mindanao and Tropical Storm Sendong/Washi Benjamin Franta Hilly Ann Roa-Quiaoit Dexter Lo Gemma Narisma REPORT NOVEMBER 2016 The Environment and Natural Resources Program (ENRP) The Environment and Natural Resources Program at the Belfer Center for Science and International Affairs is at the center of the Harvard Kennedy School’s research and outreach on public policy that affects global environment quality and natural resource management. -
The Impact of Tropical Cyclone Hayan in the Philippines: Contribution of Spatial Planning to Enhance Adaptation in the City of Tacloban
UNIVERSIDADE DE LISBOA FACULDADE DE CIÊNCIAS Faculdade de Ciências Faculdade de Ciências Sociais e Humanas Faculdade de Letras Faculdade de Ciências e Tecnologia Instituto de Ciências Sociais Instituto Superior de Agronomia Instituto Superior Técnico The impact of tropical cyclone Hayan in the Philippines: Contribution of spatial planning to enhance adaptation in the city of Tacloban Doutoramento em Alterações Climáticas e Políticas de Desenvolvimento Sustentável Especialidade em Ciências do Ambiente Carlos Tito Santos Tese orientada por: Professor Doutor Filipe Duarte Santos Professor Doutor João Ferrão Documento especialmente elaborado para a obtenção do grau de Doutor 2018 UNIVERSIDADE DE LISBOA FACULDADE DE CIÊNCIAS Faculdade de Ciências Faculdade de Ciências Sociais e Humanas Faculdade de Letras Faculdade de Ciências e Tecnologia Instituto de Ciências Sociais Instituto Superior de Agronomia Instituto Superior Técnico The impact of tropical cyclone Haiyan in the Philippines: Contribution of spatial planning to enhance adaptation in the city of Tacloban Doutoramento em Alterações Climáticas e Políticas de Desenvolvimento Sustentável Especialidade em Ciências do Ambiente Carlos Tito Santos Júri: Presidente: Doutor Rui Manuel dos Santos Malhó; Professor Catedrático Faculdade de Ciências da Universidade de Lisboa Vogais: Doutor Carlos Daniel Borges Coelho; Professor Auxiliar Departamento de Engenharia Civil da Universidade de Aveiro Doutor Vítor Manuel Marques Campos; Investigador Auxiliar Laboratório Nacional de Engenharia Civil(LNEC) -
Typhoon Haiyan Action Plan November 2013
Philippines: Typhoon Haiyan Action Plan November 2013 Prepared by the Humanitarian Country Team 100% 92 million total population of the Philippines (as of 2010) 54% 50 million total population of the nine regions hit by Typhoon Haiyan 13% 11.3 million people affected in these nine regions OVERVIEW (as of 12 November) (12 November 2013 OCHA) SITUATION On the morning of 8 November, category 5 Typhoon Haiyan (locally known as Yolanda ) made a direct hit on the Philippines, a densely populated country of 92 million people, devastating areas in 36 provinces. Haiyan is possibly the most powerful storm ever recorded . The typhoon first ma de landfall at 673,000 Guiuan, Eastern Samar province, with wind speeds of 235 km/h and gusts of 275 km/h. Rain fell at rates of up to 30 mm per hour and massive storm displaced people surges up to six metres high hit Leyte and Samar islands. Many cities and (as of 12 November) towns experienced widespread destruction , with as much as 90 per cent of housing destroyed in some areas . Roads are blocked, and airports and seaports impaired; heavy ships have been thrown inland. Water supply and power are cut; much of the food stocks and other goods are d estroyed; many health facilities not functioning and medical supplies quickly being exhausted. Affected area: Regions VIII (Eastern Visayas), VI (Western Visayas) and Total funding requirements VII (Central Visayas) are hardest hit, according to current information. Regions IV-A (CALABARZON), IV-B ( MIMAROPA ), V (Bicol), X $301 million (Northern Mindanao), XI (Davao) and XIII (Caraga) were also affected. -
Intensity Forecast Experiment of Hurricane Rita (2005) with a Cloud-Resolving, Coupled Hurricane–Ocean Modelling System
Quarterly Journal of the Royal Meteorological Society Q. J. R. Meteorol. Soc. 137: 2149–2156, October 2011 B Intensity forecast experiment of hurricane Rita (2005) with a cloud-resolving, coupled hurricane–ocean modelling system Xin Qiu,a,b Qingnong Xiao,b,c Zhe-Min Tana* and John Michalakesb aKey Laboratory of Mesoscale Severe Weather/MOE, and School of Atmospheric Sciences, Nanjing University, China bMesoscale and Microscale Meteorology Division, National Center for Atmospheric Research, Boulder, Colorado, USA cCollege of Marine Science, University of South Florida, St Petersburg, Florida, USA *Correspondence to: Z.-M. Tan, School of Atmospheric Sciences, Nanjing University, Nanjing 210093, China. E-mail: [email protected] A cloud-resolving, coupled hurricane-ocean modelling system is developed under the Earth System Modeling Framework using state-of-the-art numerical forecasting models of the atmosphere and the ocean. With this system, the importance of coupling to an eddy-resolving ocean model and the high resolution of the atmospheric model for the prediction of intensity change of hurricane Rita (2005) is demonstrated through a set of numerical experiments. The erroneous intensification in the uncoupled experiments could be eliminated when taking account of the negative feedback of sea-surface temperature cooling. Moreover, the deepening rate of Rita becomes larger with higher resolution of the atmospheric model. Nevertheless, the horizontal resolution of the atmospheric model with grid spacing at least less than ∼4 km is required in order to predict the rapid intensity changes of hurricane Rita in the fully coupled experiment. This strong dependence is found to arise from the potential interaction between the ocean coupling and internal processes of Rita, thus indicating that both high resolution and the ocean coupling are indispensable for the future improvement of hurricane intensity prediction. -
A Summary of Palau's Typhoon History 1945-2013
A Summary of Palau’s Typhoon History 1945-2013 Coral Reef Research Foundation, Palau Dec, 2014 © Coral Reef Research Foundation 2014 Suggested citation: Coral Reef Research Foundation, 2014. A Summary of Palau’s Typhoon History. Technical Report, 17pp. www.coralreefpalau.org Additions and suggestions welcome. Please email: [email protected] 2 Summary: Since 1945 Palau has had 68 recorded typhoons, tropical storms or tropical depressions come within 200 nmi of its islands or reefs. At their nearest point to Palau, 20 of these were typhoon strength with winds ≥64kts, or an average of 1 typhoon every 3 years. November and December had the highest number of significant storms; July had none over 40 kts and August had no recorded storms. Data Compilation: Storms within 200 nmi (nautical miles) of Palau were identified from the Digital Typhoon, National Institute of Informatics, Japan web site (http://agora.ex.nii.ac.jp/digital- typhoon/reference/besttrack.html.en). The storm tracks and intensities were then obtained from the Joint Typhoon Warning Center (JTWC) (https://metoc.ndbc.noaa.gov/en/JTWC/). Three storm categories were used following the JTWC: Tropical Depression, winds ≤ 33 kts; Tropical Storm, winds 34-63 kts; Typhoon ≥64kts. All track data was from the JTWC archives. Tracks were plotted on Google Earth and the nearest distance to land or reef, and bearing from Palau, were measured; maximum sustained wind speed in knots (nautical miles/hr) at that point was recorded. Typhoon names were taken from the Digital Typhoon site, but typhoon numbers for the same typhoon were from the JTWC archives. -
Recent Advances in Research on Tropical Cyclogenesis
Available online at www.sciencedirect.com ScienceDirect Tropical Cyclone Research and Review 9 (2020) 87e105 www.keaipublishing.com/tcrr Recent advances in research on tropical cyclogenesis Brian H. Tang a,*, Juan Fang b, Alicia Bentley a,y, Gerard Kilroy c, Masuo Nakano d, Myung-Sook Park e, V.P.M. Rajasree f, Zhuo Wang g, Allison A. Wing h, Liguang Wu i a University at Albany, State University of New York, Albany, USA b Nanjing University, Nanjing, China c Ludwig-Maximilians University of Munich, Munich, Germany d Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan e Korea Institute of Ocean Science and Technology, Busan, South Korea f Centre for Atmospheric and Climate Physics Research, University of Hertfordshire, Hatfield, UK g University of Illinois, Urbana, USA h Florida State University, Tallahassee, USA i Fudan University, Shanghai, China Available online 7 May 2020 Abstract This review article summarizes recent (2014e2019) advances in our understanding of tropical cyclogenesis, stemming from activities at the ninth International Workshop on Tropical Cyclones. Tropical cyclogenesis involves the interaction of dynamic and thermodynamic processes at multiple spatio-temporal scales. Studies have furthered our understanding of how tropical cyclogenesis may be affected by external processes, such as intraseasonal oscillations, monsoon circulations, the intertropical convergence zone, and midlatitude troughs and cutoff lows. Addi- tionally, studies have furthered our understanding of how tropical cyclogenesis may be affected by internal processes, such as the organization of deep convection; the evolution of the “pouch” structure; the role of friction; the development of the moist, warm core; the importance of surface fluxes; and the role of the mid-level vortex. -
Briefing Note on Typhoon Goni
Briefing note 12 November 2020 PHILIPPINES KEY FIGURES Typhoon Goni CRISIS IMPACT OVERVIEW 1,5 million PEOPLE AFFECTED BY •On the morning of 1 November 2020, Typhoon Goni (known locally as Rolly) made landfall in Bicol Region and hit the town of Tiwi in Albay province, causing TYPHOON GONI rivers to overflow and flood much of the region. The typhoon – considered the world’s strongest typhoon so far this year – had maximum sustained winds of 225 km/h and gustiness of up to 280 km/h, moving at 25 km/h (ACT Alliance 02/11/2020). • At least 11 towns are reported to be cut off in Bato, Catanduanes province, as roads linking the province’s towns remain impassable. At least 137,000 houses were destroyed or damaged – including more than 300 houses buried under rock in Guinobatan, Albay province, because of a landslide following 128,000 heavy rains caused by the typhoon (OCHA 09/11/2020; ECHO 10/11/2020; OCHA 04/11/2020; South China Morning Post 04/11/2020). Many families will remain REMAIN DISPLACED BY in long-term displacement (UN News 06/11/2020; Map Action 08/11/2020). TYPHOON GONI • As of 7 November, approximately 375,074 families or 1,459,762 people had been affected in the regions of Cagayan Valley, Central Luzon, Calabarzon, Mimaropa, Bicol, Eastern Visayas, CAR, and NCR. Of these, 178,556 families or 686,400 people are in Bicol Region (AHA Centre 07/11/2020). • As of 07 November, there were 20 dead, 165 injured, and six missing people in the regions of Calabarzon, Mimaropa, and Bicol, while at least 11 people were 180,000 reported killed in Catanduanes and Albay provinces (AHA Centre 07/11/2020; UN News 03/11/2020). -
Typhoon Haiyan 2013 Evacuation Preparations and Awareness
International Journal of Sustainable Future for Human Security DISASTER MITIGATION J-SustaiN Vol. 3, No. 1 (2015) 37-45 http://www.j-sustain.com MITIGATIONMITIGATION Generally speaking, tropical cyclones can bring about storm Typhoon Haiyan 2013 surges that can cause great damage to unprepared developing countries, though even developed countries like the United States Evacuation Preparations and and Japan can also be greatly affected by these events [2] [3]. Awareness Typhoon Haiyan, in 2013, could be considered another defining event in raising awareness about storm surges, not only in the a* b Philippines but within the entire world. Miguel Esteban , Ven Paolo Valenzuela , Nam Category 5 Typhoon Haiyan (known as Yolanda in the Yi Yunc, Takahito Mikamic, Tomoya Philippines) made landfall in the Philippines on the 8th November Shibayamac, Ryo Matsumarud, Hiroshi Takagie, 2013 at almost the peak of its power, devastating the islands of Leyte f g and Samar and causing large damage to other areas in the Visayas[4, Nguyen Danh Thao , Mario De Leon , 5]. The maximum sustained wind speeds were around 160 knots, Takahiro Oyamac, Ryota Nakamurac. the largest in the recorded history of the Western North Pacific. The strong winds, together with the typhoon’s extremely low aGraduation Program in Sustainability Science, Global Leadership central pressure (895hPa), generated a huge storm surge which Initiative (GPSS-GLI), The University of Tokyo, Tokyo, Japan engulfed several coastal towns and caused particularly large b Centre for disaster preparedness, Manila, Philippines damage to Tacloban city. The typhoon’s strong winds caused c Department of Civil & Environmental Engineering, Waseda devastating damage to the vegetation, leaving behind bare University, Tokyo, Japan mountains and flattened fields only dotted with the rare dead tree d Department of Regional Development Studies, Toyo University eTokyo Institute of Technolgy, Tokyo, Japan trunks that were left standing. -
Responding to Typhoon Haiyan in the Philippines
Volume 6, Supplement 1 2015, Pages 1–101 Responding to Typhoon p-ISSN: 2094-7321 e-ISSN: 2094-7313 Haiyan in the Philippines EEditorialditorial UUsese ofof tthehe WWHOHO PPackageackage ooff EEssentialssential RRespondingesponding ttoo TTyphoonyphoon HHaiyanaiyan NNoncommunicableoncommunicable DDiseaseisease InterventionsInterventions iinn tthehe PPhilippineshilippines 1 aafterfter TyphoonTyphoon HHaiyanaiyan 1188 MMcPhersoncPherson MM,, CCounahanounahan MM,, HHallall JJLL MMartinezartinez RRE,E, QQuintanuintan RR,, GGoo JJJ,J, VVillonesillones MMS,S, MMarquezarquez MMAA PPerspectiveerspective SSurveillanceurveillance fforor aandnd iissuesssues rrelatingelating ttoo IIss tthehe rresponseesponse oover?ver? TThehe ttransitionransition ffromrom nnoncommunicableoncommunicable ddiseasesiseases ppost-Haiyanost-Haiyan rresponseesponse ttoo rrecoveryecovery inin tthehe hhealthealth ssectorector iinn RRegionegion 8 2211 ppost-Typhoonost-Typhoon HHaiyanaiyan 5 MMartinezartinez RRE,E, QQuintanauintana RR,, GGoo JJJ,J, MMarquezarquez MMA,A, KKimim JJK,K, GGocotanoocotano AA,, GGeroyeroy LLS,S, AAlcidolcido MMR,R, DDorotanorotan MMM,M, BBalboaalboa GG,, VVillonesillones MMS,S, SSalazaralazar MMAA HHallall JJLL BBriefrief RReportseports MManaginganaging ssurgeurge sstafftaff aandnd rresourcesesources aatt tthehe CCanan yyouou hhelpelp mmee wwriterite mmyy sstory?tory? TThehe WWHOHO RRepresentativeepresentative OfOffi ccee iinn tthehe PPhilippineshilippines iinstitutionalnstitutional aafffi lliationiation ooff aauthorsuthors ooff aafterfter TyphoonTyphoon -
Report on UN ESCAP / WMO Typhoon Committee Members Disaster Management System
Report on UN ESCAP / WMO Typhoon Committee Members Disaster Management System UNITED NATIONS Economic and Social Commission for Asia and the Pacific January 2009 Disaster Management ˆ ` 2009.1.29 4:39 PM ˘ ` 1 ¿ ‚fiˆ •´ lp125 1200DPI 133LPI Report on UN ESCAP/WMO Typhoon Committee Members Disaster Management System By National Institute for Disaster Prevention (NIDP) January 2009, 154 pages Author : Dr. Waonho Yi Dr. Tae Sung Cheong Mr. Kyeonghyeok Jin Ms. Genevieve C. Miller Disaster Management ˆ ` 2009.1.29 4:39 PM ˘ ` 2 ¿ ‚fiˆ •´ lp125 1200DPI 133LPI WMO/TD-No. 1476 World Meteorological Organization, 2009 ISBN 978-89-90564-89-4 93530 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 correspon- dence and requests to publish, reproduce or translate this publication in part or in whole should be addressed to: Chairperson, Publications Board World Meteorological Organization (WMO) 7 bis, avenue de la Paix Tel.: +41 (0) 22 730 84 03 P.O. Box No. 2300 Fax: +41 (0) 22 730 80 40 CH-1211 Geneva 2, Switzerland E-mail: [email protected] 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 the Secretariat 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. -
Minnesota Weathertalk Newsletter for Friday, January 3, 2014
Minnesota WeatherTalk Newsletter for Friday, January 3, 2014 To: MPR's Morning Edition From: Mark Seeley, Univ. of Minnesota, Dept of Soil, Water, and Climate Subject: Minnesota WeatherTalk Newsletter for Friday, January 3, 2014 HEADLINES -December 2013 was climate near historic for northern communities -Cold start to 2014 -Weekly Weather potpourri -MPR listener questions -Almanac for January 3rd -Past weather -Outlook Topic: December 2013 near historic for far north In assessing the climate for December 2013 it should be said that from the standpoint of cold temperatures the month was quite historic for many northern Minnesota communities, especially due to the Arctic cold that prevailed over the last few days of the month. Minnesota reported the coldest temperature in the 48 contiguous states thirteen times during the month, the highest frequency among all 48 states. Many northern observers saw overnight temperatures drop below -30 degrees F on several occasions. The mean monthly temperature for December from several communities ranked among the coldest Decembers ever. A sample listing includes: -4.1 F at International Falls, 2nd coldest all-time 4.6 F at Duluth, 8th coldest all-time 0.1 F at Crookston, 3rd coldest all-time -3.1 F at Roseau, 3rd coldest all-time 0.3 F at Park Rapids, 3rd coldest all-time -4.4 F at Embarrass, 2nd coldest all-time -4.1 F at Baudette, coldest all-time -3.7 F at Warroad, coldest all-time -2.9 F at Babbitt, coldest all-time -2.8 F at Gunflint Lake, coldest all-time In addition, some communities reported an exceptionally snowy month of December. -
The Vertical Structure of a Loop Current Eddy 10.1029/2018JC013801
Journal of Geophysical Research: Oceans RESEARCH ARTICLE The Vertical Structure of a Loop Current Eddy 10.1029/2018JC013801 T. Meunier1 , E. Pallás-Sanz1 , M. Tenreiro1 , E. Portela1 , J. Ochoa1 , A. Ruiz-Angulo2 , Key Points: 1 • The thermohaline and kinematic and S. Cusí vertical structure of a recently 1 2 detached Loop Current Eddy is Departamento de Oceanografía, CICESE, Ensenada, B.C., Mexico, UNAM, Ciudad de México, CDMX, Mexico revealed in details • This structure results from conservative advection of Caribbean Abstract The vertical structure of a recently detached Loop Current Eddy (LCE) is studied using in water below 200 m and surface fluxes situ data collected with an underwater glider from August to November 2016. Altimetry and Argo data are and mixing above • Heat and salt excess carried by the analyzed to discuss the context of the eddy shedding and evolution as well as the origin and transformation eddy requires important heat fluxes of its thermohaline properties. The LCE appeared as a large body of nearly homogeneous water between and fresh water input for balance to 50 and 250 m confined between the seasonal and main thermoclines. A temperature anomaly relative be reached in the Gulf of Mexico to surrounding Gulf’s water of up to 9.7∘ C was observed within the eddy core. The salinity structure had a double core pattern. The subsurface fresh core had a negative anomaly of 0.27 practical salinity unit, while Correspondence to: T. Meunier, the deeper saline core’s positive anomaly reached 1.22 practical salinity unit. Both temperature and salinity [email protected] maxima were stronger than previously reported.