April 2014 from the Editor
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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. -
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 -
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. -
October 2013 Global Catastrophe Recap 2 2
October 2013 Global Catastrophe Recap Table of Contents Executive0B Summary 3 United2B States 4 Remainder of North America (Canada, Mexico, Caribbean, Bermuda) 4 South4B America 4 Europe 4 6BAfrica 5 Asia 5 Oceania8B (Australia, New Zealand and the South Pacific Islands) 6 8BAAppendix 7 Contact Information 14 Impact Forecasting | October 2013 Global Catastrophe Recap 2 2 Executive0B Summary . Windstorm Christian affects western and northern Europe; insured losses expected to top USD1.35 billion . Cyclone Phailin and Typhoon Fitow highlight busy month of tropical cyclone activity in Asia . Deadly bushfires destroy hundreds of homes in Australia’s New South Wales Windstorm Christian moved across western and northern Europe, bringing hurricane-force wind gusts and torrential rains to several countries. At least 18 people were killed and dozens more were injured. The heaviest damage was sustained in the United Kingdom, France, Belgium, the Netherlands and Scandinavia, where a peak wind gust of 195 kph (120 mph) was recorded in Denmark. More than 1.2 million power outages were recorded and travel was severely disrupted throughout the continent. Reports from European insurers suggest that payouts are likely to breach EUR1.0 billion (USD1.35 billion). Total economic losses will be even higher. Christian becomes the costliest European windstorm since WS Xynthia in 2010. Cyclone Phailin became the strongest system to make landfall in India since 1999, coming ashore in the eastern state of Odisha. At least 46 people were killed. Tremendous rains, an estimated 3.5-meter (11.0-foot) storm surge, and powerful winds led to catastrophic damage to more than 430,000 homes and 668,000 hectares (1.65 million) acres of cropland. -
Initializing the WRF Model with Tropical Cyclone Real-Time Reports Using the Ensemble
Initializing the WRF Model with Tropical Cyclone Real-Time Reports using the Ensemble Kalman Filter Algorithm Tien Duc Du(1), Thanh Ngo-Duc(2), and Chanh Kieu(3)* (1)National Center for Hydro-Meteorological Forecasting, 8 Phao Dai Lang, Hanoi, Vietnam 1 (2)Department of Space and Aeronautics, University of Science and Technology of Hanoi, Vietnam 2 (3)Department of Earth and Atmospheric Sciences, Indiana University, Bloomington IN 47405, USA Revised: 18 April 2017 Submitted to Pure and Applied Geophysical Science Abbreviated title: Tropical Cyclone Ensemble Forecast Keywords: Tropical cyclones, ensemble Kalman filter, the WRF model, tropical cyclone vital, ensemble forecasting ____________________ *Corresponding author: Chanh Kieu, Atmospheric Program, GY428A Geological Building, Department of Earth and Atmospheric Sciences, Indiana University, Bloomington, IN 47405. Tel: 812-856-5704. Email: [email protected]. 1 1 Abstract 2 This study presents an approach to assimilate tropical cyclone (TC) real-time reports and the 3 University of Wisconsin-Cooperative Institute for Meteorological Satellite Studies (CIMSS) 4 Atmospheric Motion Vectors (AMV) data into the Weather Research and Forecasting (WRF) model 5 for TC forecast applications. Unlike current methods in which TC real-time reports are used to either 6 generate a bogus vortex or spin-up a model initial vortex, the proposed approach ingests the TC real- 7 time reports through blending a dynamically consistent synthetic vortex structure with the CIMSS- 8 AMV data. The blended dataset is then assimilated into the WRF initial condition, using the local 9 ensemble transform Kalman filter (LETKF) algorithm. Retrospective experiments for a number of 10 TC cases in the north Western Pacific basin during 2013-2014 demonstrate that this approach could 11 effectively increase both the TC circulation and enhance the large-scale environment that the TCs are 12 embedded in. -
Capital Adequacy (E) Task Force RBC Proposal Form
Capital Adequacy (E) Task Force RBC Proposal Form [ ] Capital Adequacy (E) Task Force [ x ] Health RBC (E) Working Group [ ] Life RBC (E) Working Group [ ] Catastrophe Risk (E) Subgroup [ ] Investment RBC (E) Working Group [ ] SMI RBC (E) Subgroup [ ] C3 Phase II/ AG43 (E/A) Subgroup [ ] P/C RBC (E) Working Group [ ] Stress Testing (E) Subgroup DATE: 08/31/2020 FOR NAIC USE ONLY CONTACT PERSON: Crystal Brown Agenda Item # 2020-07-H TELEPHONE: 816-783-8146 Year 2021 EMAIL ADDRESS: [email protected] DISPOSITION [ x ] ADOPTED WG 10/29/20 & TF 11/19/20 ON BEHALF OF: Health RBC (E) Working Group [ ] REJECTED NAME: Steve Drutz [ ] DEFERRED TO TITLE: Chief Financial Analyst/Chair [ ] REFERRED TO OTHER NAIC GROUP AFFILIATION: WA Office of Insurance Commissioner [ ] EXPOSED ________________ ADDRESS: 5000 Capitol Blvd SE [ ] OTHER (SPECIFY) Tumwater, WA 98501 IDENTIFICATION OF SOURCE AND FORM(S)/INSTRUCTIONS TO BE CHANGED [ x ] Health RBC Blanks [ x ] Health RBC Instructions [ ] Other ___________________ [ ] Life and Fraternal RBC Blanks [ ] Life and Fraternal RBC Instructions [ ] Property/Casualty RBC Blanks [ ] Property/Casualty RBC Instructions DESCRIPTION OF CHANGE(S) Split the Bonds and Misc. Fixed Income Assets into separate pages (Page XR007 and XR008). REASON OR JUSTIFICATION FOR CHANGE ** Currently the Bonds and Misc. Fixed Income Assets are included on page XR007 of the Health RBC formula. With the implementation of the 20 bond designations and the electronic only tables, the Bonds and Misc. Fixed Income Assets were split between two tabs in the excel file for use of the electronic only tables and ease of printing. However, for increased transparency and system requirements, it is suggested that these pages be split into separate page numbers beginning with year-2021. -
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. -
The Impact of Dropwindsonde on Typhoon Track Forecasts in DOTSTAR and T-PARC
1 Eyewall Evolution of Typhoons Crossing the Philippines and Taiwan: An 2 Observational Study 3 Kun-Hsuan Chou1, Chun-Chieh Wu2, Yuqing Wang3, and Cheng-Hsiang Chih4 4 1Department of Atmospheric Sciences, Chinese Culture University, Taipei, Taiwan 5 2Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan 6 3International Pacific Research Center, and Department of Meteorology, University of 7 Hawaii at Manoa, Honolulu, Hawaii 8 4Graduate Institute of Earth Science/Atmospheric Science, Chinese Culture University, 9 Taipei, Taiwan 10 11 12 13 14 Terrestrial, Atmospheric and Oceanic Sciences 15 (For Special Issue on “Typhoon Morakot (2009): Observation, Modeling, and 16 Forecasting Applications”) 17 (Accepted on 10 May, 2011) 18 19 ___________________ 20 Corresponding Author’s address: Kun-Hsuan Chou, Department of Atmospheric Sciences, 21 National Taiwan University, 55, Hwa-Kang Road, Yang-Ming-Shan, Taipei 111, Taiwan. 22 ([email protected]) 1 23 Abstract 24 This study examines the statistical characteristics of the eyewall evolution induced by 25 the landfall process and terrain interaction over Luzon Island of the Philippines and Taiwan. 26 The interesting eyewall evolution processes include the eyewall expansion during landfall, 27 followed by contraction in some cases after re-emergence in the warm ocean. The best 28 track data, advanced satellite microwave imagers, high spatial and temporal 29 ground-observed radar images and rain gauges are utilized to study this unique eyewall 30 evolution process. The large-scale environmental conditions are also examined to 31 investigate the differences between the contracted and non-contracted outer eyewall cases 32 for tropical cyclones that reentered the ocean. -
Long-Lived Concentric Eyewalls in Typhoon Soulik (2013)
SEPTEMBER 2014 Y A N G E T A L . 3365 Long-Lived Concentric Eyewalls in Typhoon Soulik (2013) YI-TING YANG Office of Disaster Management, New Taipei City, Taiwan ERIC A. HENDRICKS Marine Meteorology Division, Naval Research Laboratory, Monterey, California HUNG-CHI KUO Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan MELINDA S. PENG Marine Meteorology Division, Naval Research Laboratory, Monterey, California (Manuscript received 24 March 2014, in final form 25 May 2014) ABSTRACT The authors report on western North Pacific Typhoon Soulik (2013), which had two anomalously long-lived concentric eyewall (CE) episodes, as identified from microwave satellite data, radar data, and total pre- cipitable water data. The first period was 25 h long and occurred while Soulik was at category 4 intensity. The second period was 34 h long and occurred when Soulik was at category 2 intensity. A large moat and outer eyewall width were present in both CE periods, and there was a significant contraction of the inner eyewall radius from the first period to the second period. The typhoon intensity decrease was partially due to en- countering unfavorable environmental conditions of low ocean heat content and dry air, even though inner eyewall contraction would generally support intensification. The T–Vmax diagram (where T is the brightness temperature and Vmax is the best track–estimated intensity) is used to analyze the time sequence of the intensity and convective activity. The convective activity (and thus the integrated kinetic energy) increased during the CE periods despite the weakening of intensity. 1. Introduction and documented the ERC occurrence and subsequent weakening using aircraft observations. -
Development and Evaluation of Storm Surge Warning System in Taiwan
DEVELOPMENT AND EVALUATION OF STORM SURGE WARNING SYSTEM IN TAIWAN MEI-YING LIN1*, MING-DA CHIOU2, CHIH-YING CHEN3, HAO-YUAN CHENG4, WEN-CHEN LIU5, and WEN-YIH SUN6 1Taiwan Typhoon and Flood Research Institute, National Applied Research Laboratories, Taiw an. 2Institute of Oceanography, National Taiwan University, Taiwan. 3Department of Land, Air and Water Resources, University of California, Davis, California, USA. 4Graduate Institute of Hydrological & Oceanic Sciences, National Central University, Taiwan. 5Department of Civil and Disaster Prevention Engineering, National United University, Taiwan 6Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, USA. ABSTRACT We used three numerical experiments for developing and evaluating a storm surge warning to examine the performance of storm surge forecasting when triggered by typhoon forecasts from TAPEX (Taiwan Cooperative Precipitation Ensemble Forecast Experiment) and to identify the characteristics of storm surges along Taiwan's coast. The results show that the accuracy of storm surge forecasting is dominated by the track, the intensity, and the driving flow of a typhoon. However, in some cases, e.g., Typhoon Soulik in 2013, the wave effect on storm surges is not negligible, and the simulations exhibit a significant bias. To determine the source of this discrepancy, we observed surge deviations from the tide gauge measure for 23 typhoon events and found that the distribution of maximum surge heights peaks at both 40 and 160 cm. Since mechanisms for the rise in water level to 160 cm are not induced only by a storm forcing, we proposed that the wave effect on storm surges was responsible for the bias at this specific location.