Managing Typhoon Risk in South Korea
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Typhoon Neoguri Disaster Risk Reduction Situation Report1 DRR Sitrep 2014‐001 ‐ Updated July 8, 2014, 10:00 CET
Typhoon Neoguri Disaster Risk Reduction Situation Report1 DRR sitrep 2014‐001 ‐ updated July 8, 2014, 10:00 CET Summary Report Ongoing typhoon situation The storm had lost strength early Tuesday July 8, going from the equivalent of a Category 5 hurricane to a Category 3 on the Saffir‐Simpson Hurricane Wind Scale, which means devastating damage is expected to occur, with major damage to well‐built framed homes, snapped or uprooted trees and power outages. It is approaching Okinawa, Japan, and is moving northwest towards South Korea and the Philippines, bringing strong winds, flooding rainfall and inundating storm surge. Typhoon Neoguri is a once‐in‐a‐decade storm and Japanese authorities have extended their highest storm alert to Okinawa's main island. The Global Assessment Report (GAR) 2013 ranked Japan as first among countries in the world for both annual and maximum potential losses due to cyclones. It is calculated that Japan loses on average up to $45.9 Billion due to cyclonic winds every year and that it can lose a probable maximum loss of $547 Billion.2 What are the most devastating cyclones to hit Okinawa in recent memory? There have been 12 damaging cyclones to hit Okinawa since 1945. Sustaining winds of 81.6 knots (151 kph), Typhoon “Winnie” caused damages of $5.8 million in August 1997. Typhoon "Bart", which hit Okinawa in October 1999 caused damages of $5.7 million. It sustained winds of 126 knots (233 kph). The most damaging cyclone to hit Japan was Super Typhoon Nida (reaching a peak intensity of 260 kph), which struck Japan in 2004 killing 287 affecting 329,556 people injuring 1,483, and causing damages amounting to $15 Billion. -
TIROS V VIEWS FINAL STAGES in the LIFE of TYPHOON SARAH AUGUST 1962 CAPT.ROBERT W
MONTHLY M7EBTHER REVIEW 367 TIROS V VIEWS FINAL STAGES IN THE LIFE OF TYPHOON SARAH AUGUST 1962 CAPT.ROBERT w. FETT, AWS MEMBER National Weather Satellite Center, Washington D C [Manuscript Received April 18 1963, Revised May 28, 19631 ABSTRACT Four TIROS V mosaics showing typhoon Sarah on consecutive days during the period of its dccliiie are deecribcd. The initial development of what later became typhoon Vera is also shown. It is found that marked changes in storm intensity are rcflected in corresponding changes of appearance in the cloud patterns view-ed from the satellite. 1. INTRODUCTION read-out station shortly after the pictures were taken is also shown. Through cross reference from the niosaic to . The 3-week period froni the middle of August through the nephanalysis, locations of cloud I’eatures can con- the first week of September 1962, was one oE unusual veniently be determined. Photographic distortions of the activity for the western Pacific. No fewer than 6 ty- pictures and niosaic presentation are also rectified on the phoons developed, ran their devastating courses, and nephanalysis. The pictures begin in the Southern Hem- finally dissipated in mid-latitudes during this short spa11 isphere and extend northeastward past the Philippines, of time. over Formosa, Korea, and Japan, to the southern tip ol The TIROS V meteorological satellite was in position the Kamchatka Peninsula. The predominant cloud to view niany of these developments during various stages reatures in the southern portion of the mosaic consist of growth from formation to final decay. This provided mainly of clusters of cumulonimbus with anvil tops an unparalleled opportunity to obtain a visual record sheared toward the west-soutliwest by strong upper-level for extensive research into inany of the still unresolved east-northeasterly winds. -
Annual Progress Report July 1, 2003 – June 30, 2004 Cooperative Institute for Climate Science at Princeton University
Annual Progress Report July 1, 2003 – June 30, 2004 Cooperative Institute for Climate Science at Princeton University CICS Jorge L. Sarmiento, Professor of Geosciences and Director Cooperative Institute for Climate Science Princeton University Forrestal Campus 300 Forrestal Road, Box CN 710 Princeton, New Jersey 08544-0710 Table of Contents Introduction 1 Research Themes Overview 2-4 Structure of the Joint Institute 5-6 Research Highlights Earth System Studies 7-10 Land Dynamics Ocean Dynamics Chemistry-Radiation-Climate Interactions Large-scale Atmospheric Dynamics Clouds and Convection Biogeochemistry 10-13 Ocean Biogeochemistry Land Processes Atmospheric Chemistry Earth System Model Coastal Processes 13 Paleoclimate 13-15 NOAA Funding Table 16 Project Reports 17-155 Publications 156-158 CICS Fellows 159 Personnel Information 160-163 CICS Projects 164-165 Cooperative Institute for Climate Science Princeton University Annual Report of Research Progress under Cooperative Agreement NA17RJ2612 During July 1, 2003 – June 30, 2004 Jorge L. Sarmiento, Director Introduction The Cooperative Institute for Climate Sciences (CICS) was founded in 2003 to foster research collaboration between Princeton University and the Geophysical Fluid Dynamics Laboratory (GFDL) of the National Oceanographic and Atmospheric Administration (NOAA). Its vision is to be a world leader in understanding and predicting climate and the co- evolution of society and the environment – integrating physical, chemical, biological, technological, economical, social, and ethical dimensions, and in educating the next generations to deal with the increasing complexity of these issues. CICS is built upon the strengths of Princeton University in biogeochemistry, physical oceanography, paleoclimate, hydrology, ecosystem ecology, climate change mitigation technology, economics, and policy; and GFDL in modeling the atmosphere, oceans, weather and climate. -
Development of GMDH-Based Storm Surge Forecast Models for Sakaiminato, Tottori, Japan
Journal of Marine Science and Engineering Article Development of GMDH-Based Storm Surge Forecast Models for Sakaiminato, Tottori, Japan Sooyoul Kim 1 , Hajime Mase 2,3,4,5, Nguyen Ba Thuy 6,* , Masahide Takeda 7, Cao Truong Tran 8 and Vu Hai Dang 9 1 Center for Water Cycle Marine Environment and Disaster Management, Kumamoto University, 2-39-1, Kurokami, Chuo-ku, Kumamoto 860-8555, Japan; [email protected] 2 Professor Emeritus, Kyoto University, Kyoto 611-0011, Japan; [email protected] 3 Toa Corporation, Tokyo 163-1031, Japan 4 Hydro Technology Inst., Co., Ltd., Osaka 530-6126, Japan 5 Nikken Kogaku Co., Ltd., Tokyo 160-0023, Japan 6 Vietnam National Hydrometerological Forecasting Center Hanoi, No 8, Phao Dai Lang, Dong Da, Hanoi, Vietnam 7 Research and Development Center, Toa Corporation, Kanagawa 230-0035, Japan; [email protected] 8 Le Quy Don Technical University, 236 Hoang Quoc Viet St, Hanoi, Vietnam; [email protected] 9 Institute of Marine Geology and Geophysics, VAST, 18 Hoang Quoc Viet St, Hanoi, Vietnam; [email protected] * Correspondence: [email protected] Received: 31 July 2020; Accepted: 4 October 2020; Published: 14 October 2020 Abstract: The current study developed storm surge hindcast/forecast models with lead times of 5, 12, and 24 h at the Sakaiminato port, Tottori, Japan, using the group method of data handling (GMDH) algorithm. For training, local meteorological and hydrodynamic data observed in Sakaiminato during Typhoons Maemi (2003), Songda (2004), and Megi (2004) were collected at six stations. In the forecast experiments, the two typhoons, Maemi and Megi, as well as the typhoon Songda, were used for training and testing, respectively. -
Quantification of Typhoon-Induced Phytoplankton Blooms Using
remote sensing Article Quantification of Typhoon-Induced Phytoplankton Blooms Using Satellite Multi-Sensor Data Jiayi Pan 1,2,3,* ID , Lei Huang 2, Adam T. Devlin 2 and Hui Lin 2 1 School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China 2 Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China; [email protected] (L.H.); [email protected] (A.T.D.); [email protected] (H.L.) 3 Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China * Correspondence: [email protected]; Tel.: +852-3943-1308 Received: 19 December 2017; Accepted: 16 February 2018; Published: 20 February 2018 Abstract: Using satellite-based multi-sensor observations, this study investigates Chl-a blooms induced by typhoons in the Northwest Pacific (NWP) and the South China Sea (SCS), and quantifies the blooms via wind-induced mixing and Ekman pumping parameters, as well as pre-typhoon mixed-layer depth (MLD). In the NWP, the Chl-a bloom is more correlated with the Ekman pumping than with the other two parameters, with an R2 value of 0.56. In the SCS, the wind-induced mixing and Ekman pumping have comparable correlations with the Chl-a increase, showing R2 values of 0.4~0.6. However, the MLD exhibits a negative correlation with the Chl-a increase. A multi-parameter quantification model of the Chl-a bloom strength achieves better results than the single-parameter regressions, yielding a more significant R2 value of 0.80, and a lower regression rms of 0.18 mg·m−3 in the SCS, and the R2 value in the NWP is also improved compared with the single-parameter regressions. -
North Pacific, on August 31
Marine Weather Review MARINE WEATHER REVIEW – NORTH PACIFIC AREA May to August 2002 George Bancroft Meteorologist Marine Prediction Center Introduction near 18N 139E at 1200 UTC May 18. Typhoon Chataan: Chataan appeared Maximum sustained winds increased on MPC’s oceanic chart area just Low-pressure systems often tracked from 65 kt to 120 kt in the 24-hour south of Japan at 0600 UTC July 10 from southwest to northeast during period ending at 0000 UTC May 19, with maximum sustained winds of 65 the period, while high pressure when th center reached 17.7N 140.5E. kt with gusts to 80 kt. Six hours later, prevailed off the west coast of the The system was briefly a super- the Tenaga Dua (9MSM) near 34N U.S. Occasionally the high pressure typhoon (maximum sustained winds 140E reported south winds of 65 kt. extended into the Bering Sea and Gulf of 130 kt or higher) from 0600 to By 1800 UTC July 10, Chataan of Alaska, forcing cyclonic systems 1800 UTC May 19. At 1800 UTC weakened to a tropical storm near coming off Japan or eastern Russia to May 19 Hagibis attained a maximum 35.7N 140.9E. The CSX Defender turn more north or northwest or even strength of 140-kt (sustained winds), (KGJB) at that time encountered stall. Several non-tropical lows with gusts to 170 kt near 20.7N southwest winds of 55 kt and 17- developed storm-force winds, mainly 143.2E before beginning to weaken. meter seas (56 feet). The system in May and June. -
Third Assessment on Impacts of Climate Change on Tropical Cyclones in the Typhoon Committee Region E Part I: Observed Changes, Detection and Attribution
Available online at www.sciencedirect.com ScienceDirect Tropical Cyclone Research and Review 9 (2020) 1e22 www.keaipublishing.com/tcrr Third assessment on impacts of climate change on tropical cyclones in the Typhoon Committee Region e Part I: Observed changes, detection and attribution Tsz-Cheung Lee a,*, Thomas R. Knutson b, Toshiyuki Nakaegawa c, Ming Ying d, Eun Jeong Cha e a Hong Kong Observatory, Hong Kong, China b Geophysical Fluid Dynamics Laboratory/NOAA, Princeton, NJ, USA c Meteorological Research Institute/Japan Meteorological Agency, Tsukuba, Japan d Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, China e National Typhoon Center, Korea Meteorological Administration, Jeju, Republic of Korea Available online 20 March 2020 Abstract Published findings on climate change impacts on tropical cyclones (TCs) in the ESCAP/WMO Typhoon Committee Region are assessed. We focus on observed TC changes in the western North Pacific (WNP) basin, including frequency, intensity, precipitation, track pattern, and storm surge. Results from an updated survey of impacts of past TC activity on various Members of the Typhoon Committee are also reported. Existing TC datasets continue to show substantial interdecadal variations in basin-wide TC frequency and intensity in the WNP. There has been encouraging progress in improving the consensus between different datasets concerning intensity trends. A statistically significant northwest- ward shift in WNP TC tracks since the 1980s has been documented. There is low-to-medium confidence in a detectable poleward shift since the 1940s in the average latitude where TCs reach their peak intensity in the WNP. A worsening of storm inundation levels is believed to be occurring due to sea level rise-due in part to anthropogenic influence-assuming all other factors equal. -
Basic Data Construction for a Typhoon Disaster Prevention Model : Monthly Characteristics of Typhoon Rusa, Maemi, Kompasu, and Bolaven
AAS02-P10 Japan Geoscience Union Meeting 2019 Basic Data Construction for a Typhoon Disaster Prevention Model : Monthly Characteristics of Typhoon Rusa, Maemi, Kompasu, and Bolaven *HANA NA1, Woo-Sik Jung1 1. Department of Atmospheric Environment Information Engineering, Atmospheric Environment Information Research Center, Inje University, Gimhae 50834, Korea According to a typhoon report that summarized the typhoons that had affected the Korean Peninsula for approximately 100 years since the start of weather observation in the Korean Peninsula, the number of typhoons that affected the Korean Peninsula was the highest in August, followed by July, and September. A study that analyzed the period between 1953 and 2003 revealed that the number of typhoons that affected the Korean Peninsula was 62 in August, 49 in July, and 45 in September. As shown, previous studies that analyzed the typhoons that affected the Korean Peninsula by month were primarily focused on the impact frequency. This study aims to estimate the monthly impact frequency of the typhoons that affected the Korean Peninsula as well as the maximum wind speed that accompanied the typhoons. It also aims to construct the basic data of a typhoon disaster prevention model by estimating the maximum wind speed during typhoon period using Typhoon Rusa that resulted in the highest property damage, Typhoon Maemi that recorded the maximum wind speed, Typhoon Kompasu that significantly affected the Seoul metropolitan area, and Typhoon Bolaven that recently recorded severe damages. A typhoon disaster prevention model was used to estimate the maximum wind speed of the 3-second gust that may occur, and the 700 hPa wind speed estimated through WRF(Weather Research and Forecasting) numerical simulation was used as input data. -
Analysis of Gravity-Waves Produced by Intense Tropical Cyclones
Ann. Geophys., 28, 531–547, 2010 www.ann-geophys.net/28/531/2010/ Annales © Author(s) 2010. This work is distributed under Geophysicae the Creative Commons Attribution 3.0 License. Analysis of gravity-waves produced by intense tropical cyclones F. Chane Ming1, Z. Chen2, and F. Roux3 1Laboratoire de l’Atmosphere` et des Cyclones, UMR 8105, CNRS-Met´ eo-France,´ Universite´ de la Reunion,´ La Reunion,´ France 2Institute of Atmospheric Physics – Chinese Academy of Sciences, Beijing, China 3Laboratoire d’Aerologie,´ UMR CNRS – Universite´ Paul Sabatier, Toulouse, France Received: 19 June 2009 – Revised: 27 January 2010 – Accepted: 31 January 2010 – Published: 15 February 2010 Abstract. Conventional and wavelet methods are combined sphere (Sato, 1993; Pfister et al., 1993; Danielsen, 1993; to characterize gravity-waves (GWs) produced by two in- Dhaka et al., 2003; Cairo et al., 2008). Chane Ming et tense tropical cyclones (TCs) in the upper troposphere and al. (2002) showed that such GWs can be characterized using lower stratosphere (UT/LS) from GPS winsonde data. Anal- high resolution daily radiosonde data in the UT/LS within yses reveal large contribution of GWs induced by TCs to a radius of about 2000 km above the radiosonde station. For wave energy densities in the UT/LS. An increase in total instance, significant release of GW energy was observed dur- energy density of about 30% of the climatological energy ing landfalls of TC Hudah over Madagascar and Mozam- density in austral summer was estimated in the LS above bique. Observations of GWs also appear to be common in Tromelin during TC Dina. -
NICAM Predictability of the Monsoon Gyre Over The
EARLY ONLINE RELEASE This is a PDF of a manuscript that has been peer-reviewed and accepted for publication. As the article has not yet been formatted, copy edited or proofread, the final published version may be different from the early online release. This pre-publication manuscript may be downloaded, distributed and used under the provisions of the Creative Commons Attribution 4.0 International (CC BY 4.0) license. It may be cited using the DOI below. The DOI for this manuscript is DOI:10.2151/jmsj.2019-017 J-STAGE Advance published date: December 7th, 2018 The final manuscript after publication will replace the preliminary version at the above DOI once it is available. 1 NICAM predictability of the monsoon gyre over the 2 western North Pacific during August 2016 3 4 Takuya JINNO1 5 Department of Earth and Planetary Science, Graduate School of Science, 6 The University of Tokyo, Bunkyo-ku, Tokyo, Japan 7 8 Tomoki MIYAKAWA 9 Atmosphere and Ocean Research Institute 10 The University of Tokyo, Tokyo, Japan 11 12 and 13 Masaki SATOH 14 Atmosphere and Ocean Research Institute 15 The University of Tokyo, Tokyo, Japan 16 17 18 19 20 Sep 30, 2018 21 22 23 24 25 ------------------------------------ 26 1) Corresponding author: Takuya Jinno, School of Science, 7-3-1, Hongo, Bunkyo-ku, 27 Tokyo 113-0033 JAPAN. 28 Email: [email protected] 29 Tel(domestic): 03-5841-4298 30 Abstract 31 In August 2016, a monsoon gyre persisted over the western North Pacific and was 32 associated with the genesis of multiple devastating tropical cyclones. -
Hong Kong Observatory, 134A Nathan Road, Kowloon, Hong Kong
78 BAVI AUG : ,- HAISHEN JANGMI SEP AUG 6 KUJIRA MAYSAK SEP SEP HAGUPIT AUG DOLPHIN SEP /1 CHAN-HOM OCT TD.. MEKKHALA AUG TD.. AUG AUG ATSANI Hong Kong HIGOS NOV AUG DOLPHIN() 2012 SEP : 78 HAISHEN() 2010 NURI ,- /1 BAVI() 2008 SEP JUN JANGMI CHAN-HOM() 2014 NANGKA HIGOS(2007) VONGFONG AUG ()2005 OCT OCT AUG MAY HAGUPIT() 2004 + AUG SINLAKU AUG AUG TD.. JUL MEKKHALA VAMCO ()2006 6 NOV MAYSAK() 2009 AUG * + NANGKA() 2016 AUG TD.. KUJIRA() 2013 SAUDEL SINLAKU() 2003 OCT JUL 45 SEP NOUL OCT JUL GONI() 2019 SEP NURI(2002) ;< OCT JUN MOLAVE * OCT LINFA SAUDEL(2017) OCT 45 LINFA() 2015 OCT GONI OCT ;< NOV MOLAVE(2018) ETAU OCT NOV NOUL(2011) ETAU() 2021 SEP NOV VAMCO() 2022 ATSANI() 2020 NOV OCT KROVANH(2023) DEC KROVANH DEC VONGFONG(2001) MAY 二零二零年 熱帶氣旋 TROPICAL CYCLONES IN 2020 2 二零二一年七月出版 Published July 2021 香港天文台編製 香港九龍彌敦道134A Prepared by: Hong Kong Observatory, 134A Nathan Road, Kowloon, Hong Kong © 版權所有。未經香港天文台台長同意,不得翻印本刊物任何部分內容。 © Copyright reserved. No part of this publication may be reproduced without the permission of the Director of the Hong Kong Observatory. 知識產權公告 Intellectual Property Rights Notice All contents contained in this publication, 本刊物的所有內容,包括但不限於所有 including but not limited to all data, maps, 資料、地圖、文本、圖像、圖畫、圖片、 text, graphics, drawings, diagrams, 照片、影像,以及數據或其他資料的匯編 photographs, videos and compilation of data or other materials (the “Materials”) are (下稱「資料」),均受知識產權保護。資 subject to the intellectual property rights 料的知識產權由香港特別行政區政府 which are either owned by the Government of (下稱「政府」)擁有,或經資料的知識產 the Hong Kong Special Administrative Region (the “Government”) or have been licensed to 權擁有人授予政府,為本刊物預期的所 the Government by the intellectual property 有目的而處理該等資料。任何人如欲使 rights’ owner(s) of the Materials to deal with 用資料用作非商業用途,均須遵守《香港 such Materials for all the purposes contemplated in this publication. -
Prediction of Typhoon-Induced Flood Flows at Ungauged Catchments Using Simple Regression and Generalized Estimating Equation Approaches
water Article Prediction of Typhoon-Induced Flood Flows at Ungauged Catchments Using Simple Regression and Generalized Estimating Equation Approaches Hyosang Lee 1, Neil McIntyre 2 ID , Joungyoun Kim 3 ID , Sunggu Kim 1 and Hojin Lee 1,* 1 School of Civil Engineering, Chungbuk National University, Cheongju 28644, Korea; [email protected] (H.L.); [email protected] (S.K.) 2 Centre for Water in the Minerals Industry, University of Queensland, Brisbane 4072, Australia; [email protected] 3 Department of Information & Statistics, Chungbuk National University, Cheongju 28644, Korea; [email protected] * Correspondence: [email protected]; Tel.: +82-43-261-2379 Received: 29 March 2018; Accepted: 14 May 2018; Published: 16 May 2018 Abstract: Typhoons are the main type of natural disaster in Korea, and accurately predicting typhoon-induced flood flows at gauged and ungauged locations remains an important challenge. Flood flows caused by six typhoons since 2002 (typhoons Rusa, Maemi, Nari, Dienmu, Kompasu and Bolaven) are modeled at the outlets of 24 Geum River catchments using the Probability Distributed Moisture model. The Monte Carlo Analysis Toolbox is applied with the Nash Sutcliffe Efficiency as the criterion for model parameter estimation. Linear regression relationships between the parameters of the Probability Distributed Moisture model and catchment characteristics are developed for the purpose of generalizing the parameter estimates to ungauged locations. These generalized parameter estimates are tested in terms of ability to predict the flood hydrographs over the 24 catchments using a leave-one-out validation approach. We then test the hypothesis that a more complex generalization approach, the Generalized Estimating Equation, which includes properties of the typhoons as well as catchment characteristics as predictors of PDM model parameters, will provide more accurate predictions.