Whethering the Storm the Twin Natures of Typhoons Haiyan and Yolanda
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Dropsonde Observations of Intense Typhoons in 2017 and 2018 in the T-PARCII
EGU General Assembly 2020 May 6, 2020 Online 4-8 May 2020 Tropical meteorology and tropical cyclones (AS1.22) Dropsonde Observations of Intense Typhoons in 2017 and 2018 in the T-PARCII Kazuhisa TSUBOKI1 Institute for Space-Earth Environmental Research, Nagoya University Hiroyuki Yamada2, Tadayasu Ohigashi3, Taro Shinoda1, Kosuke Ito2, Munehiko Yamaguchi4, Tetsuo Nakazawa4, Hisayuki Kubota5, Yukihiro Takahashi5, Nobuhiro Takahashi1, Norio Nagahama6, and Kensaku Shimizu6 1Institute for Space-Earth Environmental Research, Nagoya University, Nagoya, 464-8601 Japan 2University of the Ryukyus, Okinawa, Japan 3National Research Institute for Earth Science and Disaster Resilience, Tsukuba, Japan 4Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan 5Hokkaido University, Sapporo, Japan 6Meisei Electric Co. Ltd., Isesaki, Japan Violent wind and heavy rainfall associated with a typhoon cause huge disaster in East Asia including Japan. For prevention/mitigation of typhoon disaster, accurate estimation and prediction of typhoon intensity are very important as well as track forecast. However, intensity data of the intense typhoon category such as supertyphoon have large error after the US aircraft reconnaissance was terminated in 1987. Intensity prediction of typhoon also has not been improved sufficiently for the last few decades. To improve these problems, in situ observations of typhoon using an aircraft are indispensable. The main objective of the T-PARCII (Tropical cyclone-Pacific Asian Research Campaign for Improvement of Intensity estimations/forecasts) project is improvements of typhoon intensity estimations and forecasts. Violent wind and heavy rainfall associated with a typhoon cause huge disaster in East Asia including Japan. Payment of insurance due to disasters in Japan Flooding Kinu River on Sept. -
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. -
Contextualizing Disaster
Contextualizing Disaster This open access edition has been made available under a CC BY-NC-ND 4.0 license, thanks to the support of Knowledge Unlatched. Catastrophes in Context Series Editors: Gregory V. Button, former faculty member of University of Michigan at Ann Arbor Mark Schuller, Northern Illinois University / Université d’État d’Haïti Anthony Oliver-Smith, University of Florida Volume ͩ Contextualizing Disaster Edited by Gregory V. Button and Mark Schuller This open access edition has been made available under a CC BY-NC-ND 4.0 license, thanks to the support of Knowledge Unlatched. Contextualizing Disaster Edited by GREGORY V. BUTTON and MARK SCHULLER berghahn N E W Y O R K • O X F O R D www.berghahnbooks.com This open access edition has been made available under a CC BY-NC-ND 4.0 license, thanks to the support of Knowledge Unlatched. First published in 2016 by Berghahn Books www.berghahnbooks.com ©2016 Gregory V. Button and Mark Schuller Open access ebook edition published in 2019 All rights reserved. Except for the quotation of short passages for the purposes of criticism and review, no part of this book may be reproduced in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system now known or to be invented, without written permission of the publisher. Library of Congress Cataloging-in-Publication Data Names: Button, Gregory, editor. | Schuller, Mark, 1973– editor. Title: Contextualizing disaster / edited by Gregory V. Button and Mark Schuller. Description: New York : Berghahn Books, [2016] | Series: Catastrophes in context ; v. -
Admiral William Frederick Halsey by Ruben Pang
personality profile 69 Admiral William Frederick Halsey by Ruben Pang IntRoductIon Early Years fleet admiral William halsey was born in elizabeth, frederick halsey (30 october new Jersey to a family of naval 1882 – 16 august 1959) was a tradition. his father was a captain united states navy (USN) officer in the USN. hasley naturally who served in both the first and followed in his footsteps, second World Wars (WWi and enrolling in the united states WWII). he was commander of (US) naval academy in 1900.3 the south pacific area during as a cadet, he held several the early years of the pacific extracurricular positions. he War against Japan and became played full-back for the football http://en.wikipedia.org/wiki/File:Halsey.JPG commander of the third fleet team, became president of the Fleet Admiral William Frederick Halsey for the remainder of the war, athletic association, and as during which he supported first classman “had his name general douglas macarthur’s engraved on the thompson advance on the philippines in trophy cup as the midshipman 1944. over the course of war, who had done most during halsey earned the reputation the year for the promotion of of being one of america’s most athletics.”4 aggressive fighting admirals, often driven by instinct over from 1907 to 1909, he gained intellect. however, his record substantial maritime experience also includes unnecessary losses while sailing with the “great at leyte gulf and damage to his White fleet” in a global third fleet during the typhoon circumnavigation.5 in 1909, of 1944 or “hasley’s typhoon,” halsey received instruction in the violent tempest that sank torpedoes with the reserve three destroyers and swept torpedo flotilla in charleston, away 146 naval aircraft. -
2018 Natural Hazard Report 2018 Natural Hazard Report G January 2019
2018 Natural Hazard Report 2018 Natural Hazard Report g January 2019 Executive Summary 2018 was an eventful year worldwide. Wildfires scorched the West Coast of the United States; Hurricanes Michael and Florence battered the Gulf and East Coast. Typhoons and cyclones alike devastated the Philippines, Hong Kong, Japan and Oman. Earthquakes caused mass casualties in Indonesia, business interruption in Japan and structure damage in Alaska. Volcanoes made the news in Hawaii, expanding the island’s terrain. 1,000-year flood events (or floods that are said statistically to have a 1 in 1,000 chance of occurring) took place in Maryland, North Carolina, South Carolina, Texas and Wisconsin once again. Severe convective storms pelted Dallas, Texas, and Colorado Springs, Colorado, with large hail while a rash of tornado outbreaks, spawning 82 tornadoes in total, occurred from Western Louisiana and Arkansas all the way down to Southern Florida and up to Western Virginia. According to the National Oceanic and Atmospheric Administration (NOAA)1, there were 11 weather and climate disaster events with losses exceeding $1 billion in the U.S. Although last year’s count of billion- dollar events is a decrease from the previous year, both 2017 and 2018 have tracked far above the 1980- 2017 annual average of $6 billion events. In this report, CoreLogic® takes stock of the 2018 events to protect homeowners and businesses from the financial devastation that often follows catastrophe. No one can stop a hurricane in its tracks or steady the ground from an earthquake, but with more information and an understanding of the risk, recovery can be accelerated and resiliency can be attained. -
PRC.15.1.1 a Publication of AXA XL Risk Consulting
Property Risk Consulting Guidelines PRC.15.1.1 A Publication of AXA XL Risk Consulting WINDSTORMS INTRODUCTION A variety of windstorms occur throughout the world on a frequent basis. Although most winds are related to exchanges of energy (heat) between different air masses, there are a number of weather mechanisms that are involved in wind generation. These depend on latitude, altitude, topography and other factors. The different mechanisms produce windstorms with various characteristics. Some affect wide geographical areas, while others are local in nature. Some storms produce cooling effects, whereas others rapidly increase the ambient temperatures in affected areas. Tropical cyclones born over the oceans, tornadoes in the mid-west and the Santa Ana winds of Southern California are examples of widely different windstorms. The following is a short description of some of the more prevalent wind phenomena. A glossary of terms associated with windstorms is provided in PRC.15.1.1.A. The Beaufort Wind Scale, the Saffir/Simpson Hurricane Scale, the Australian Bureau of Meteorology Cyclone Severity Scale and the Fugita Tornado Scale are also provided in PRC.15.1.1.A. Types Of Windstorms Local Windstorms A variety of wind conditions are brought about by local factors, some of which can generate relatively high wind conditions. While they do not have the extreme high winds of tropical cyclones and tornadoes, they can cause considerable property damage. Many of these local conditions tend to be seasonal. Cold weather storms along the East coast are known as Nor’easters or Northeasters. While their winds are usually less than hurricane velocity, they may create as much or more damage. -
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) -
Ensemble Forecast Experiment for Typhoon
Ensemble Forecast Experiment for Typhoon Quantitatively Precipitation in Taiwan Ling-Feng Hsiao1, Delia Yen-Chu Chen1, Ming-Jen Yang1, 2, Chin-Cheng Tsai1, Chieh-Ju Wang1, Lung-Yao Chang1, 3, Hung-Chi Kuo1, 3, Lei Feng1, Cheng-Shang Lee1, 3 1Taiwan Typhoon and Flood Research Institute, NARL, Taipei 2Dept. of Atmospheric Sciences, National Central University, Chung-Li 3Dept. of Atmospheric Sciences, National Taiwan University, Taipei ABSTRACT The continuous torrential rain associated with a typhoon often caused flood, landslide or debris flow, leading to serious damages to Taiwan. Therefore the quantitative precipitation forecast (QPF) during typhoon period is highly needed for disaster preparedness and emergency evacuation operation in Taiwan. Therefore, Taiwan Typhoon and Flood Research Institute (TTFRI) started the typhoon quantitative precipitation forecast ensemble forecast experiment in 2010. The ensemble QPF experiment included 20 members. The ensemble members include various models (ARW-WRF, MM5 and CreSS models) and consider different setups in the model initial perturbations, data assimilation processes and model physics. Results show that the ensemble mean provides valuable information on typhoon track forecast and quantitative precipitation forecasts around Taiwan. For example, the ensemble mean track captured the sharp northward turning when Typhoon Megi (2010) moved westward to the South China Sea. The model rainfall also continued showing that the total rainfall at the northeastern Taiwan would exceed 1,000 mm, before the heavy rainfall occurred. Track forecasts for 21 typhoons in 2011 showed that the ensemble forecast has a comparable skill to those of operational centers and has better performance than a deterministic prediction. With an accurate track forecast for Typhoon Nanmadol, the ability for the model to predict rainfall distribution is significantly improved. -
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. -
Nearshore Dynamics of Storm Surges and Waves Induced by the 2018
Journal of Marine Science and Engineering Article Nearshore Dynamics of Storm Surges and Waves Induced by the 2018 Typhoons Jebi and Trami Based on the Analysis of Video Footage Recorded on the Coasts of Wakayama, Japan Yusuke Yamanaka 1,* , Yoshinao Matsuba 1,2 , Yoshimitsu Tajima 1 , Ryotaro Shibata 1, Naohiro Hattori 1, Lianhui Wu 1 and Naoko Okami 1 1 Department of Civil Engineering, The University of Tokyo, Tokyo 113-8656, Japan; [email protected] (Y.M.); [email protected] (Y.T.); [email protected] (R.S.); [email protected] (N.H.); [email protected] (L.W.); [email protected] (N.O.) 2 Research Fellow of Japan Society for the Promotion of Science, Tokyo 102-0083, Japan * Correspondence: [email protected] Received: 30 September 2019; Accepted: 11 November 2019; Published: 13 November 2019 Abstract: In this study, field surveys along the coasts of Wakayama Prefecture, Japan, were first conducted to investigate the coastal damage due to storm surges and storm-induced waves caused by the 2018 Typhoons Jebi and Trami. Special focus was placed on the characteristic behavior of nearshore waves through investigation of observed data, numerical simulations, and image analysis of video footage recorded on the coasts. The survey results indicated that inundation, wave overtopping, and drift debris caused by violent storm-induced waves were the dominant factors causing coastal damage. Results of numerical simulations showed that heights of storm-induced waves were predominantly greater than storm surge heights along the entire coast of Wakayama in both typhoons. -
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. -
Detail Response to Referee #1 (Anonymous) in the Following Letter, Each Comment by Referee #1 in Black Is Followed by Our Replies in Red
Detail response to Referee #1 (anonymous) In the following letter, each comment by Referee #1 in black is followed by our replies in red. This paper proposes an assessment of the risk of coastal flooding and submersion by waves in one of the Palau islands surrounded by a coral reef in 2100, in a context of climate change. The study is certainly of interest, the study is rather comprehensive, well conducted and the paper is concise, clear and well written. The objectives of the paper are clearly exposed and the conclusions correspond to these objectives. We are grateful to you that you review. I have however two main concerns, that in my opinion prevent the acceptance of the paper in its present state: 1- The authors state that their first objective is to assess the present-day efficiency of the Palau coral reef as wave breaker and natural barrier against water level rise during a tropical cyclone (TC). They give (from what I understand) the corresponding figures obtained from a numerical hydrodynamic modeling, using as forgings the outer wave significant height (SWHo), the outer significant wave period, and the outer water level. These forcings are taken from a GFS simulation and observations of SWH in similar conditions. The percent of reduction of wave height due to the reef is 85.7% (87.9%) with (without) storm surge. As these values are used as a reference in the projective part of the paper, it would be relevant to confirm them (at least at first order) using observations. Recent TCs (Bopha and Haiyan) hit Palau, and it is may be possible to find even crude observations of (outer) SWHo and (reef) SWHr to check either the value of SWHr or the percentage of reduction (Table1).