Development of Fast-Calculation Storm Surge System and Case Study of 2013 Typhoon Haiyan/Yolanda Yu-Lin Tsai1, Tso-Ren Wu1, Simon C
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An Efficient Method for Simulating Typhoon Waves Based on A
Journal of Marine Science and Engineering Article An Efficient Method for Simulating Typhoon Waves Based on a Modified Holland Vortex Model Lvqing Wang 1,2,3, Zhaozi Zhang 1,*, Bingchen Liang 1,2,*, Dongyoung Lee 4 and Shaoyang Luo 3 1 Shandong Province Key Laboratory of Ocean Engineering, Ocean University of China, 238 Songling Road, Qingdao 266100, China; [email protected] 2 College of Engineering, Ocean University of China, 238 Songling Road, Qingdao 266100, China 3 NAVAL Research Academy, Beijing 100070, China; [email protected] 4 Korea Institute of Ocean, Science and Technology, Busan 600-011, Korea; [email protected] * Correspondence: [email protected] (Z.Z.); [email protected] (B.L.) Received: 20 January 2020; Accepted: 23 February 2020; Published: 6 March 2020 Abstract: A combination of the WAVEWATCH III (WW3) model and a modified Holland vortex model is developed and studied in the present work. The Holland 2010 model is modified with two improvements: the first is a new scaling parameter, bs, that is formulated with information about the maximum wind speed (vms) and the typhoon’s forward movement velocity (vt); the second is the introduction of an asymmetric typhoon structure. In order to convert the wind speed, as reconstructed by the modified Holland model, from 1-min averaged wind inputs into 10-min averaged wind inputs to force the WW3 model, a gust factor (gf) is fitted in accordance with practical test cases. Validation against wave buoy data proves that the combination of the two models through the gust factor is robust for the estimation of typhoon waves. -
Variations in Typhoon Landfalls Over China Emily A
Florida State University Libraries Electronic Theses, Treatises and Dissertations The Graduate School 2004 Variations in Typhoon Landfalls over China Emily A. Fogarty Follow this and additional works at the FSU Digital Library. For more information, please contact [email protected] THE FLORIDA STATE UNIVERSITY COLLEGE OF SOCIAL SCIENCES VARIATIONS IN TYPHOON LANDFALLS OVER CHINA By EMILY A. FOGARTY A Thesis submitted to the Department of Geography in partial fulfillment of the requirements for the degree of Master of Science Degree Awarded: Fall Semester, 2004 The members of the Committee approve Thesis of Emily A. Fogarty defended on October 20, 2004. James B. Elsner Professor Directing Thesis Thomas Jagger Committee Member J. Anthony Stallins Committee Member The Office of Graduate Studies has verified and approved the above named committee members. ii ACKNOWLEDGEMENTS Special thanks to my advisor James Elsner, without his guidance none of this would be possible. Thank you to my other advisors Tom Jagger and Tony Stallins for their wonderful advice and help. Finally thank you to Kam-biu Liu from Louisiana State University for providing the historical data used in this study. iii TABLE OF CONTENTS List of Tables ................................................... .... v List of Figures ................................................... ... vi Abstract ................................................... ......... vii 1. INTRODUCTION ............................................... 1 2. DATA ................................................... ....... 4 2.1 Historical Typhoons over Guangdong and Fujian Province . 5 2.2 Modern Typhoon Records . 7 2.3 ENSO and the Pacific Decadal Oscillation . 8 2.4 NCEP/NCAR Reanalysis Data . 9 3. ANTICORRELATION BETWEEN GUANGDONG AND FUJIAN TYPHOON ACTIVITY .......................................... 12 4. SPATIAL CO-VARIABILITY IN CHINA LANDFALLS ............. 15 4.1 Factor Analysis Model . 16 4.2 Statistical Significance of the Factor Analysis Model . -
Assimilation of Ttrecretrieved Wind Data with WRF 3DVAR
JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES, VOL. 118, 10,361–10,375, doi:10.1002/jgrd.50815, 2013 Assimilation of T-TREC-retrieved wind data with WRF 3DVAR for the short-term forecasting of typhoon Meranti (2010) near landfall Xin Li,1 Jie Ming,1 Yuan Wang,1 Kun Zhao,1 and Ming Xue 2 Received 11 April 2013; revised 30 August 2013; accepted 4 September 2013; published 18 September 2013. [1] An extended Tracking Radar Echo by Correlation (TREC) technique, called T-TREC technique, has been developed recently to retrieve horizontal circulations within tropical cyclones (TCs) from single Doppler radar reflectivity (Z) and radial velocity (Vr, when available) data. This study explores, for the first time, the assimilation of T-TREC-retrieved winds for a landfalling typhoon, Meranti (2010), into a convection-resolving model, the WRF (Weather Research and Forecasting). The T-TREC winds or the original Vr data from a single coastal Doppler radar are assimilated at the single time using the WRF three-dimensional variational (3DVAR), at 8, 6, 4, and 2 h before the landfall of typhoon Meranti. In general, assimilating T-TREC winds results in better structure and intensity analysis of Meranti than directly assimilating Vr data. The subsequent forecasts for the track, intensity, structure and precipitation are also better, although the differences becomes smaller as the Vr data coverage improves when the typhoon gets closer to the radar. The ability of the T-TREC retrieval in capturing more accurate and complete vortex circulations in the inner-core region of TC is believed to be the primary reason for its superior performance over direct assimilation of Vr data; for the latter, the data coverage is much smaller when the TC is far away and the cross-beam wind component is difficult to analyze accurately with 3DVAR method. -
Typhoon Sarika
Emergency Plan of Action (EPoA) Philippines: Typhoon Sarika DREF Operation: MDRPH021 Glide n° TC-2016-000108-PHL Date of issue: 19 October 2016 Date of disaster: 16 October 2016 Operation manager: Point of contact: Patrick Elliott, operations manager Atty. Oscar Palabyab, secretary general IFRC Philippines country office Philippine Red Cross Operation start date: 16 October 2016 Expected timeframe: 3 months (to 31 January 2017) Overall operation budget: CHF 169,011 Number of people affected: 52,270 people (11,926 Number of people to be assisted: 8,000 people families) (1,600 families) Host National Society: Philippine Red Cross (PRC) is the nation’s largest humanitarian organization and works through 100 chapters covering all administrative districts and major cities in the country. It has at least 1,000 staff at national headquarters and chapter levels, and approximately one million volunteers and supporters, of whom some 500,000 are active volunteers. At chapter level, a programme called Red Cross 143, has volunteers in place to enhance the overall capacity of the National Society to prepare for and respond in disaster situations. Red Cross Red Crescent Movement partners actively involved in the operation: PRC is working with the International Federation of Red Cross and Red Crescent Societies (IFRC) in this operation. The National Society also works with the International Committee of the Red Cross (ICRC) as well as American Red Cross, Australian Red Cross, British Red Cross, Canadian Red Cross, Finnish Red Cross, German Red Cross, Japanese Red Cross Society, The Netherlands Red Cross, Norwegian Red Cross, Qatar Red Crescent Society, Spanish Red Cross, and Swiss Red Cross in-country. -
Bayer Buys Monsanto for U N Secretary General Patuá
BAYER BUYS MONSANTO FOR U N SECRETARY GENERAL PATUÁ . - USD66 BILLION DISAPPOINTED SEEKS Bayer agreed to buy Monsanto in Ban Ki-moon says he’s disappointed CONSENSUS a deal valued at USD66b, creating by many world leaders who care ON ITS the world’s biggest supplier of more about retaining power than WRITING seeds and pesticides improving the lives of their people P2 MACAU P8 BUSINESS P14-15 INTERVIEW THU.15 Sep 2016 T. 25º/ 30º C H. 75/ 95% Blackberry email service powered by CTM MOP 7.50 2644 N.º HKD 9.50 FOUNDER & PUBLISHER Kowie Geldenhuys EDITOR-IN-CHIEF Paulo Coutinho “ THE TIMES THEY ARE A-CHANGIN’ ” WORLD BRIEFS DIVIDED AMERICA AP PHOTO Chinese competition CHINA Four employees at Chinese internet giant Alibaba P10-11 FEATURE have lost their jobs fuels Trump support after being accused of reprogramming an internal system to steal more than 100 boxes of mooncakes, a traditional delicacy shared during this Portuguese wine could be ideal week’s Mid-Autumn Festival. product for China-Lusophone AP PHOTO cooperation P3 MDT REPORT US-MYANMAR Aung San Suu WINE REGION/XINHUA DOURO IN THE ALTO A VINEYARD AT A MAN WORKS Kyi’s latest visit to Washington signals her transformation from long-imprisoned heroine of Myanmar’s democracy struggle to a national leader focused on economic growth. More on p12 INDONESIA A senior figure from the East Indonesia Mujahideen militant group has been captured and one of the group’s members killed in a joint operation with the military, Indonesian police say. AP PHOTO MALDIVES The first democratically elected president of the Maldives said from exile in Britain that he has an agreement with the country’s former strongman to counter the current president, who is increasing his stranglehold on power. -
Risk Perception and Agricultural Insurance Acceptance: Evidence from Typhoon Meranti in Fujian, China
Risk Perception and Agricultural Insurance Acceptance: Evidence from Typhoon Meranti in Fujian, China Jinxiu Ding Department of Public Finance, School of Economics Xiamen University [email protected] Chin-Hsien Yu Institute of Development Studies Southwestern University of Finance & Economics [email protected] Douglass Shaw Department of Agricultural Economics Texas A&M University [email protected] Selected Poster prepared for presentation at the 2018 Agricultural & Applied Economics Association Annual Meeting, Washington D.C., August 5-August 7 Copyright 2018 by Jinxiu Ding, Chin-Hsien Yu, and Douglass Shaw. All rights reserved. Readers may make verbatim copies of this document for non-commercial purposes by any means, provided this copyright notice appears on all such copies. Risk Perception and Agricultural Insurance Acceptance: Evidence from Typhoon Meranti in Fujian, China Jinxiu Ding1, Chin-Hsien Yu2, Douglass Shaw3 1 Department of Public Finance, Xiamen University 2 Institute of Development Studies, Southwestern University of Finance and Economics 3 Department of Agricultural Economics, Texas A&M University Background Survey Design Results The central government of China continues to increase The survey was conducted 7 months after Typhoon Meranti. subsidies on agricultural insurance, there still exists Three pre-tests of the questionnaire were set between April insufficient demand for agricultural insurance. and May, 2017. The existing research on the analysis of the factors The questionnaires are designed as six versions through two affecting the demand for agricultural insurance in information treatment and one sequence control of advantage China mainly focused on objective conditions, with few and disadvantage of agricultural insurance. focusing on subjective conditions, especially on the role of risk perception. -
Major Disaster in China 2016
___________________________________________________________________________ 2017/SOM1/EPWG/031 Agenda Item: 10.3 Major Disaster in China 2016 Purpose: Information Submitted by: China 11th Emergency Preparedness Working Group Meeting Nha Trang, Viet Nam 18-19 February 2017 ___________________________________________________________________________ 2017/SOM1/EPWG/031 Agenda Item: 10.3 Major Disaster in China 2016 Purpose: Information Submitted by: China 11th Emergency Preparedness Working Group Meeting Nha Trang, Viet Nam 18-19 February 2017 2017/2/27 Disaster in China Gao Kun Department of International Cooperation Ministry of Civil Affairs of the People’s Republic of China Feb, 2017 CONTENTS 1 Disaster in China 2 Typhoon in 2016 12 1 2017/2/27 1 Major Disasters in China in 2016 General Information of Natural Disasters in China Type: flood, typhoon, hail, geological disasters Impact: 190 million people affected, 1432 dead, 274 missing, 9.10 million people evecuated, 3.53 million people in need of help, 520000 houses collapsed, 26 million hectors crops affected, direct economic losses≈503.29 billion Yuan. More sever than 2015. 14 2 2017/2/27 Disaster Relief in China Major Types of Natural Disasters Since 2016 Flood Landslide . Typhoon 15 6 Disaster Relief in China Severe Losses 521, 503.29 1,432 274 Billion 000 Death Toll Missing Houses Collapsed Direct Economic Losses 190 million people were affected. 16 4 3 2017/2/27 Disaster Relief in China Tough Disaster Relief Work 17 Characteristics of nature disasters Losses by drought and Major -
Towards an Integrated Storm Surge and Wave Forecasting System for Taiwan Coast
Volume 26 Issue 1 Article 12 TOWARDS AN INTEGRATED STORM SURGE AND WAVE FORECASTING SYSTEM FOR TAIWAN COAST Yeayi Peter Sheng University of Florida, Gainesville, Florida, U.S.A, [email protected] Vladimir Alexander Paramygin University of Florida, Gainesville, Florida, U.S.A. Chuen-Teyr Terng Central Weather Bureau, Taipei, Taiwan, R.O.C. Chi-Hao Chu Central Weather Bureau, Taipei, Taiwan, R.O.C. Follow this and additional works at: https://jmstt.ntou.edu.tw/journal Part of the Marine Biology Commons Recommended Citation Sheng, Yeayi Peter; Paramygin, Vladimir Alexander; Terng, Chuen-Teyr; and Chu, Chi-Hao (2018) "TOWARDS AN INTEGRATED STORM SURGE AND WAVE FORECASTING SYSTEM FOR TAIWAN COAST," Journal of Marine Science and Technology: Vol. 26 : Iss. 1 , Article 12. DOI: 10.6119/JMST.2018.02_(1).0011 Available at: https://jmstt.ntou.edu.tw/journal/vol26/iss1/12 This Research Article is brought to you for free and open access by Journal of Marine Science and Technology. It has been accepted for inclusion in Journal of Marine Science and Technology by an authorized editor of Journal of Marine Science and Technology. TOWARDS AN INTEGRATED STORM SURGE AND WAVE FORECASTING SYSTEM FOR TAIWAN COAST Acknowledgements Central Weather Bureau provided the field data used for model erificationv in this paper. We appreciate the comments of two anonymous reviewers. This research article is available in Journal of Marine Science and Technology: https://jmstt.ntou.edu.tw/journal/ vol26/iss1/12 Journal of Marine Science and Technology, Vol. 26, No. 1, pp. 117-127 (2018) 117 DOI: 10.6119/JMST.2018.02_(1).0011 TOWARDS AN INTEGRATED STORM SURGE AND WAVE FORECASTING SYSTEM FOR TAIWAN COAST Yeayi Peter Sheng1, Vladimir Alexander Paramygin1, Chuen-Teyr Terng2, and Chi-Hao Chu2 Key words: storm surge, wave, numerical simulation, forecasting, I. -
Drop Size Distribution Characteristics of Seven Typhoons in China
Journal of Geophysical Research: Atmospheres RESEARCH ARTICLE Drop Size Distribution Characteristics of Seven 10.1029/2017JD027950 Typhoons in China Key Points: Long Wen1,2,3 , Kun Zhao1,2 , Gang Chen1,2, Mingjun Wang1,2 , Bowen Zhou1,2 , • Raindrops of typhoons in continental 1,2 4 5 6 China are smaller and more spherical Hao Huang , Dongming Hu , Wen-Chau Lee , and Hanfeng Hu with higher concentration than that of 1 the Pacific and Atlantic Key Laboratory for Mesoscale Severe Weather/MOE and School of Atmospheric Science, Nanjing University, Nanjing, 2 • More accurate precipitation China, State Key Laboratory of Severe Weather and Joint Center for Atmospheric Radar Research, CMA/NJU, Beijing, China, estimation, raindrop size distribution, 3Xichang Satellite Launch Center, Xichang, China, 4Guangzhou Central Meteorological Observatory, Guangzhou, China, and polarimetric radar parameters are 5Earth Observing Laboratory, National Center for Atmospheric Research, Boulder, CO, USA, 6Key Laboratory for obtained for typhoon rainfall • Warm rain processes dominate the Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and formation and evolution of typhoon Technology, Nanjing, China rainfall in continental China Abstract This study is the first attempt to investigate the characteristics of the drop size distribution (DSD) and drop shape relation (DSR) of seven typhoons after making landfall in China. Four typhoons were sampled Correspondence to: K. Zhao, by a C-band polarimetric radar (CPOL) and a two-dimensional video disdrometer (2DVD) in Jiangsu Province [email protected] (East China) while three typhoons were sampled by two 2DVDs in Guangdong Province (south China). Although the DSD and DSR are different in individual typhoons, the computed DSD parameters in these two μ Λ Citation: groups of typhoons possess similar characteristics. -
Annual Report on the Climate System 2016
Annual Report on the Climate System 2016 March 2017 Japan Meteorological Agency Preface The Japan Meteorological Agency is pleased to publish the Annual Report on the Climate System 2016. The report summarizes 2016 climatic characteristics and climate system conditions worldwide, with coverage of specific events including the effects of the summer 2014 – spring 2016 El Niño event and notable aspects of Japan’s climate in summer 2016. I am confident that the report will contribute to the understanding of recent climatic conditions and enhance awareness of various aspects of the climate system, including the causes of extreme climate events. Teruko Manabe Director, Climate Prediction Division Global Environment and Marine Department Japan Meteorological Agency Contents Preface 1. Explanatory notes ··························································································· 1 1.1 Outline of the Annual Report on the Climate System ······································· 1 1.2 Climate in Japan ···················································································· 1 1.3 Climate around the world ························································ ·············· 2 1.4 Atmospheric circulation ············· ···························································· 3 1.5 Oceanographic conditions ··········· ··············································· ·········· 5 1.6 Snow cover and sea ice ······································································· 5 2. Annual summaries of the 2016 climate system -
Emergency Responses to Kaohsiung Earthquake and Typhoon Nepartak in Chinese Taipei, 2016
___________________________________________________________________________ 2016/SOM3/EPWG/019 Agenda Item: 9.8 Emergency Responses to Kaohsiung Earthquake and Typhoon Nepartak in Chinese Taipei, 2016 Purpose: Information Submitted by: Chinese Taipei 10th Emergency Preparedness Working Group Meeting Lima, Peru 15-16 August 2016 2016/8/26 Emergency Responses to Kaohsiung Earthquake and Typhoon Nepartak in Chinese Taipei, 2016 Hongey Chen Director National Sceince and Technology Center for Disaster Reduction, Chinese Taipei The 10th APEC Emergency Preparedness Working Group Meeting 2016.08.15, Lima, Peru Summary of Kaohsiung Earthquake • A magnitude-6.4 – Date and Time: February 6, 2016 at 3:57 am – Epicenter: at Meinong, Kaohsiung City and with a focal depth of 16.6 Kilometers Google, before – in-land and shallow earthquake • Casualties – 117 died and 546 wounded • Major losses – over 60 buildings totally or partially collapsed. Chinatimes after 1 2016/8/26 Strong Ground Motion Earthquake Report Shake Map Summarized numbers of damages and casualties Items Descriptions Casualties 116 dead, 551wounded • Power supply: 173,000 households • Water supply : 400,300 households Interruptions to lifeline • Land-line telephone: 1,248 households systems • Mobile phone station: 143 • Natural gas supply: 1,304 households Damaged building After quick assessment: Red-tagged 249, Yellow-Tagged 336 • Highway: 2 sections Damages or suspension to • High-speed rail: a temporary suspension to south- transportation systems bound operation from Taichung soon -
Member Report (2016)
MEMBER REPORT (2016) ESCAP/WMO Typhoon Committee 11th Integrated Workshop China MERANTI (1614) October 24-28, 2016 Cebu, Philippines Contents I. Review of Tropical Cyclones Which Have Affected/Impacted Members since the Previous Session 1.1 Meteorological and hydrological assessment ....................................................................................... 1 1.2 Socio-economic assessment ................................................................................................................ 13 1.3 Regional cooperation assessment ....................................................................................................... 15 II. SUMMARY OF KEY RESULT AREAS Typhoon forecast, prediction and research 2.1 Typhoon forecasting technique .......................................................................................................... 20 2.2 Typhoon numerical modeling and data assimilation .......................................................................... 21 2.3 Typhoon research ................................................................................................................................ 23 2.4 Journal of tropical cyclone research and review ................................................................................. 25 Typhoon observation, satellite application and data broadcasting 2.5 Ocean observing system and observation experiments ..................................................................... 26 2.6 GF-4 satellite applied in typhoon monitoring ....................................................................................