Rapid Response to a Typhoon-Induced Flood with an SAR-Derived Map of Inundated Areas: Case Study and Validation
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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. -
Characteristics of Satellite-Based Ocean Turbulent Heat Flux Around the Korean Peninsula and Relationship with Changes in Typhoon Intensity
remote sensing Article Characteristics of Satellite-Based Ocean Turbulent Heat Flux around the Korean Peninsula and Relationship with Changes in Typhoon Intensity Jaemin Kim and Yun Gon Lee * Atmospheric Sciences, Department of Astronomy, Space Science, and Geology, Chungnam National University, Daejeon 34134, Korea; [email protected] * Correspondence: [email protected]; Tel.: +82-042-821-7107 Abstract: Ocean-atmosphere energy exchange is an important factor in the maintenance of oceanic and atmospheric circulation and the regulation of meteorological and climate systems. Oceanic sensible and latent heat fluxes around the Korean Peninsula were determined using satellite-based air-sea variables (wind speed, sea surface temperature, and atmospheric specific humidity and temperature) and the coupled ocean-atmosphere response experiment (COARE) 3.5 bulk algorithm for six years between 2014 and 2019. Seasonal characteristics of the marine heat flux and its short- term fluctuations during summer typhoons were also investigated. Air-sea variables were produced through empirical relationships and verified with observational data from marine buoys around the Korean Peninsula. Satellite-derived wind speed, sea surface temperature, atmospheric specific humidity, and air temperature were strongly correlated with buoy data, with R2 values of 0.80, 0.97, 0.90, and 0.91, respectively. Satellite-based sensible and latent heat fluxes around the peninsula were also validated against fluxes calculated from marine buoy data, and displayed low values in summer and higher values in autumn and winter as the difference between air-sea temperature and specific humidity increased. Through analyses of spatio-temporal fluctuations in the oceanic turbulent heat Citation: Kim, J.; Lee, Y.G. -
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. -
Forecasting of Storm Surge and Wave Along Taiwan Coast Y
Forecasting of Storm Surge and Wave along Taiwan Coast Y. Peter Sheng1, *, Vladimir A. Paramygin2, Chuen-Teyr Terng 3, and Chi-Hao Chu 3 1Advanced Aqua Dynamics, Inc., Gainesville, Florida, U.S.A. 2 University of Florida, Gainesville, Florida, U.S.A. 3 Central Weather Bureau, Taipei, Taiwan, R.O.C. *Corresponding Author: [email protected] Abstract This paper describes the application of a coupled surge-wave modeling system CH3D-SWAN for simulating storm surge and wave along Taiwan coast. The modeling system has been used for simulating storm surge and wave in the U.S., Arabian Gulf, and Taiwan. This paper presents the hindcasting of Typhoon Soudelor in 2015 and the forecasting of the typhoon season in 2016 with Typhoon Meiji as an example. Performance of the forecasting system is assessed and future forecasting effort is discussed. Key words: Storm Surge, Wave, Numerical Simulation, Forecasting, Taiwan 1. Introduction typhoons of Taiwan. In the following section, we first give a brief description of the CH3D-SWAN modeling In Taiwan, typhoons are an annual threat. Typhoons not only bring torrential rain, but often cause storm surge, wave, and coastal inundation that system with all the associated modules of the impact areas near the coast and amplifies the flooding forecasting system and model domains. Model from rainfall. The impact of tropical cyclones on the hindcasting of storm surge and wave during Typhoon coastal regions in Taiwan depend on the Soudelor in 2015 is then described, followed by a characteristics of tropical cyclones and coastal regions. description of the forecasting performance of the 2016 For example, along the southwest coast of Taiwan typhoon season using Typhoon Meji as an example. -
Improved Global Tropical Cyclone Forecasts from NOAA: Lessons Learned and Path Forward
Improved global tropical cyclone forecasts from NOAA: Lessons learned and path forward Dr. Vijay Tallapragada Chief, Global Climate and Weather Modeling Branch & HFIP Development Manager Typhoon Seminar, JMA, Tokyo, Japan. NOAA National Weather Service/NCEP/EMC, USA January 6, 2016 Typhoon Seminar JMA, January 6, 2016 1/90 Rapid Progress in Hurricane Forecast Improvements Key to Success: Community Engagement & Accelerated Research to Operations Effective and accelerated path for transitioning advanced research into operations Typhoon Seminar JMA, January 6, 2016 2/90 Significant improvements in Atlantic Track & Intensity Forecasts HWRF in 2012 HWRF in 2012 HWRF in 2015 HWRF HWRF in 2015 in 2014 Improvements of the order of 10-15% each year since 2012 What it takes to improve the models and reduce forecast errors??? • Resolution •• ResolutionPhysics •• DataResolution Assimilation Targeted research and development in all areas of hurricane modeling Typhoon Seminar JMA, January 6, 2016 3/90 Lives Saved Only 36 casualties compared to >10000 deaths due to a similar storm in 1999 Advanced modelling and forecast products given to India Meteorological Department in real-time through the life of Tropical Cyclone Phailin Typhoon Seminar JMA, January 6, 2016 4/90 2014 DOC Gold Medal - HWRF Team A reflection on Collaborative Efforts between NWS and OAR and international collaborations for accomplishing rapid advancements in hurricane forecast improvements NWS: Vijay Tallapragada; Qingfu Liu; William Lapenta; Richard Pasch; James Franklin; Simon Tao-Long -
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. -
Japan's Insurance Market 2020
Japan’s Insurance Market 2020 Japan’s Insurance Market 2020 Contents Page To Our Clients Masaaki Matsunaga President and Chief Executive The Toa Reinsurance Company, Limited 1 1. The Risks of Increasingly Severe Typhoons How Can We Effectively Handle Typhoons? Hironori Fudeyasu, Ph.D. Professor Faculty of Education, Yokohama National University 2 2. Modeling the Insights from the 2018 and 2019 Climatological Perils in Japan Margaret Joseph Model Product Manager, RMS 14 3. Life Insurance Underwriting Trends in Japan Naoyuki Tsukada, FALU, FUWJ Chief Underwriter, Manager, Underwriting Team, Life Underwriting & Planning Department The Toa Reinsurance Company, Limited 20 4. Trends in Japan’s Non-Life Insurance Industry Underwriting & Planning Department The Toa Reinsurance Company, Limited 25 5. Trends in Japan's Life Insurance Industry Life Underwriting & Planning Department The Toa Reinsurance Company, Limited 32 Company Overview 37 Supplemental Data: Results of Japanese Major Non-Life Insurance Companies for Fiscal 2019, Ended March 31, 2020 (Non-Consolidated Basis) 40 ©2020 The Toa Reinsurance Company, Limited. All rights reserved. The contents may be reproduced only with the written permission of The Toa Reinsurance Company, Limited. To Our Clients It gives me great pleasure to have the opportunity to welcome you to our brochure, ‘Japan’s Insurance Market 2020.’ It is encouraging to know that over the years our brochures have been well received even beyond our own industry’s boundaries as a source of useful, up-to-date information about Japan’s insurance market, as well as contributing to a wider interest in and understanding of our domestic market. During fiscal 2019, the year ended March 31, 2020, despite a moderate recovery trend in the first half, uncertainties concerning the world economy surged toward the end of the fiscal year, affected by the spread of COVID-19. -
Toward the Establishment of a Disaster Conscious Society
Special Feature Consecutive Disasters --Toward the Establishment of a Disaster Conscious Society-- In 2018, many disasters occurred consecutively in various parts of Japan, including earthquakes, heavy rains, and typhoons. In particular, the earthquake that hit the northern part of Osaka Prefecture on June 18, the Heavy Rain Event of July 2018 centered on West Japan starting June 28, Typhoons Jebi (1821) and Trami (1824), and the earthquake that stroke the eastern Iburi region, Hokkaido Prefecture on September 6 caused damage to a wide area throughout Japan. The damage from the disaster was further extended due to other disaster that occurred subsequently in the same areas. The consecutive occurrence of major disasters highlighted the importance of disaster prevention, disaster mitigation, and building national resilience, which will lead to preparing for natural disasters and protecting people’s lives and assets. In order to continue to maintain and improve Japan’s DRR measures into the future, it is necessary to build a "disaster conscious society" where each member of society has an awareness and a sense of responsibility for protecting their own life. The “Special Feature” of the Reiwa Era’s first White Paper on Disaster Management covers major disasters that occurred during the last year of the Heisei era. Chapter 1, Section 1 gives an overview of those that caused especially extensive damage among a series of major disasters that occurred in 2018, while also looking back at response measures taken by the government. Chapter 1, Section 2 and Chapter 2 discuss the outline of disaster prevention and mitigation measures and national resilience initiatives that the government as a whole will promote over the next years based on the lessons learned from the major disasters in 2018. -
Simulating Storm Surge and Inundation Along the Taiwan Coast During Typhoons Fanapi in 2010 and Soulik in 2013
Terr. Atmos. Ocean. Sci., Vol. 27, No. 6, 965-979, December 2016 doi: 10.3319/TAO.2016.06.13.01(Oc) Simulating Storm Surge and Inundation Along the Taiwan Coast During Typhoons Fanapi in 2010 and Soulik in 2013 Y. Peter Sheng1, *, Vladimir A. Paramygin1, Chuen-Teyr Terng 2, and Chi-Hao Chu 2 1 University of Florida, Gainesville, Florida, U.S.A. 2 Central Weather Bureau, Taipei City, Taiwan, R.O.C. Received 10 January 2016, revised 9 June 2016, accepted 13 June 2016 ABSTRACT Taiwan is subjected to significant storm surges, waves, and coastal inundation during frequent tropical cyclones. Along the west coast, with gentler bathymetric slopes, storm surges often cause significant coastal inundation. Along the east coast with steep bathymetric slopes, waves can contribute significantly to the storm surge in the form of wave setup. To examine the importance of waves in storm surges and quantify the significance of coastal inundation, this paper presents numerical simulations of storm surge and coastal inundation during two major typhoons, Fanapi in 2010 and Soulik in 2013, which impacted the southwest and northeast coasts of Taiwan, respectively. The simulations were conducted with an integrated surge-wave modeling system using a large coastal model domain wrapped around the island of Taiwan, with a grid resolution of 50 - 300 m. During Fanapi, the simulated storm surge and coastal inundation near Kaohsiung are not as accurate as those obtained using a smaller coastal domain with finer resolution (40 - 150 m). During Soulik, the model simulations show that wave setup contributed significantly (up to 20%) to the peak storm surge along the northeast coast of Taiwan. -
Using Adjacent Buoy Information to Predict Wave Heights of Typhoons Offshore of Northeastern Taiwan
water Article Using Adjacent Buoy Information to Predict Wave Heights of Typhoons Offshore of Northeastern Taiwan Chih-Chiang Wei * and Chia-Jung Hsieh Department of Marine Environmental Informatics & Center of Excellence for Ocean Engineering, National Taiwan Ocean University, Keelung 20224, Taiwan; [email protected] * Correspondence: [email protected] Received: 2 November 2018; Accepted: 6 December 2018; Published: 7 December 2018 Abstract: In the northeastern sea area of Taiwan, typhoon-induced long waves often cause rogue waves that endanger human lives. Therefore, having the ability to predict wave height during the typhoon period is critical. The Central Weather Bureau maintains the Longdong and Guishandao buoys in the northeastern sea area of Taiwan to conduct long-term monitoring and collect oceanographic data. However, records have often become lost and the buoys have suffered other malfunctions, causing a lack of complete information concerning wind-generated waves. The goal of the present study was to determine the feasibility of using information collected from the adjacent buoy to predict waves. In addition, the effects of various factors such as the path of a typhoon on the prediction accuracy of data from both buoys are discussed herein. This study established a prediction model, and two scenarios were used to assess the performance: Scenario 1 included information from the adjacent buoy and Scenario 2 did not. An artificial neural network was used to establish the wave height prediction model. The research results demonstrated that (1) Scenario 1 achieved superior performance with respect to absolute errors, relative errors, and efficiency coefficient (CE) compared with Scenario 2; (2) the CE of Longdong (0.802) was higher than that of Guishandao (0.565); and (3) various types of typhoon paths were observed by examining each typhoon. -
Dropsonde Observations of Intense Typhoons in 2017 and 2018 in the T-PARCII Project
EGU2020-12614 https://doi.org/10.5194/egusphere-egu2020-12614 EGU General Assembly 2020 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. Dropsonde Observations of Intense Typhoons in 2017 and 2018 in the T-PARCII Project Kazuhisa Tsuboki1, 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, Japan ([email protected]) 2Department of Physics and Earth Sciences, University of the Ryukyus, Okinawa, Japan 3National Research Institute for Earth Science and Disaster Resilience, Tsukuba, Japan 4Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan 5Faculty of Science, Hokkaido University, Sapporo, Japan 6Meisei Electric Co. Ltd., Isesaki, Japan Typhoon is a tropical cyclone in the western North Pacific and the South China Sea. It is the most devastating weather system in East Asia. Strong winds and heavy rainfalls associated with a typhoon often cause severe disasters in these regions. There are many cases of typhoon disasters even in the recent decades in these regions. Furthermore, future projections of typhoon activity in the western North Pacific show that its maximum intensity will increase with the climate change. However, the historical data of typhoon (best track data) include large uncertainty after the US aircraft reconnaissance of typhoon was terminated in 1987. Another problem is that prediction of typhoon intensity has not been improved for the last few decades. To improve these problems, in situ observations of typhoon using an aircraft are indispensable. The T-PARCII (Tropical cyclone- Pacific Asian Research Campaign for Improvement of Intensity estimations/forecasts) project is aiming to improve estimations and forecasts of typhoon intensity as well as storm track forecasts. -
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.