Global Catastrophe Recap August 2017
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4. the TROPICS—HJ Diamond and CJ Schreck, Eds
4. THE TROPICS—H. J. Diamond and C. J. Schreck, Eds. Pacific, South Indian, and Australian basins were a. Overview—H. J. Diamond and C. J. Schreck all particularly quiet, each having about half their The Tropics in 2017 were dominated by neutral median ACE. El Niño–Southern Oscillation (ENSO) condi- Three tropical cyclones (TCs) reached the Saffir– tions during most of the year, with the onset of Simpson scale category 5 intensity level—two in the La Niña conditions occurring during boreal autumn. North Atlantic and one in the western North Pacific Although the year began ENSO-neutral, it initially basins. This number was less than half of the eight featured cooler-than-average sea surface tempera- category 5 storms recorded in 2015 (Diamond and tures (SSTs) in the central and east-central equatorial Schreck 2016), and was one fewer than the four re- Pacific, along with lingering La Niña impacts in the corded in 2016 (Diamond and Schreck 2017). atmospheric circulation. These conditions followed The editors of this chapter would like to insert two the abrupt end of a weak and short-lived La Niña personal notes recognizing the passing of two giants during 2016, which lasted from the July–September in the field of tropical meteorology. season until late December. Charles J. Neumann passed away on 14 November Equatorial Pacific SST anomalies warmed con- 2017, at the age of 92. Upon graduation from MIT siderably during the first several months of 2017 in 1946, Charlie volunteered as a weather officer in and by late boreal spring and early summer, the the Navy’s first airborne typhoon reconnaissance anomalies were just shy of reaching El Niño thresh- unit in the Pacific. -
NASA Sees Typhoon Noru Raging Near the Minami Tori Shima Atoll 24 July 2017
NASA sees Typhoon Noru raging near the Minami Tori Shima Atoll 24 July 2017 north latitude and 154.9 degrees east longitude. That's about 128 nautical miles north of Minami Tori Shima. It was moving to the east-southeast at 13.8 mph (12 knots/22.2 kph). Noru is located to the southwest of Tropical Storm Koru, which is a much smaller and weaker storm. Noru is moving in a cyclonic loop and is forecast to turn back toward the west by July 26. The Joint Typhoon Warning Center's forecast calls for the storm to approach the island of Iwo To, Japan around July 29. Provided by NASA's Goddard Space Flight Center On July 24 at 0342 UTC (July 23 at 11:42 p.m. EDT) NASA-NOAA's Suomi NPP satellite captured a visible image of Typhoon Noru in the Northwestern Pacific Ocean. Credit: NASA/NOAA NASA-NOAA's Suomi NPP satellite captured an image of Typhoon Noru raging near the unpopulated atoll of Minami Tori Shima in the Northwestern Pacific Ocean. Minami-Tori-shima or Marcus Island is an isolated Japanese coral atoll about 1,150 miles (1,850 kilometers) southeast of Tokyo. On July 24 at 0342 UTC (July 23 at 11:42 p.m. EDT), the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument aboard NASA-NOAA's Suomi NPP satellite provided a visible-light image of Typhoon Noru. The VIIRS image showed a cloud-covered eye surrounded by a thick band of powerful thunderstorms and a thick band wrapping into the center from the southeastern quadrant. -
Action Proposed
ESCAP/WMO Typhoon Committee FOR PARTICIPANTS ONLY Fiftieth Session WRD/TC.50/7.2 28 February - 3 March 2018 28 February 2018 Ha Noi, Viet Nam ENGLISH ONLY SUMMARY OF MEMBERS’ REPORTS 2017 (submitted by AWG Chair) Summary and Purpose of Document: This document presents an overall view of the progress and issues in meteorology, hydrology and DRR aspects among TC Members with respect to tropical cyclones and related hazards in 2017. Action Proposed The Committee is invited to: (a) take note of the major progress and issues in meteorology, hydrology and DRR aspects under the Key Result Areas (KRAs) of TC as reported by Members in 2017; and (b) review the Summary of Members’ Reports 2017 in APPENDIX B with the aim of adopting a “Executive Summary” for distribution to Members’ governments and other collaborating or potential sponsoring agencies for information and reference. APPENDICES: 1) Appendix A – DRAFT TEXT FOR INCLUSION IN THE SESSION REPORT 2) Appendix B – SUMMARY OF MEMBERS’ REPORTS 2017 1 APPENDIX A: DRAFT TEXT FOR INCLUSION IN THE SESSION REPORT 6.2 SUMMARY OF MEMBERS’ REPORTS 1. The Committee took note of the Summary of Members’ Reports 2017 as submitted for the 12th IWS in Jeju, Republic of Koreq, highlighting the key tropical cyclone impacts on Members in 2017 and the major activities undertaken by Members under the various KRAs and components during the year. 2. The Committee expressed its appreciation to AWG Chair for preparinG the Summary of Members’ Reports. It is noted the new KRA and supportinG Priorities structure contained developed in the new TC StrateGic Plan 2017-2021 caused some confusion in the format of the Member Reports. -
NASA Satellite Sees Typhoon Noru in Infrared Light 31 July 2017
NASA satellite sees Typhoon Noru in infrared light 31 July 2017 To Island, Japan. Maximum sustained winds were near 143.8 mph (125 knots/231 kph). Noru was moving to the west at 6.9 mph (6 knots/11.1 kph). The Joint Typhoon Warning Center forecasts Noru to move slowly to the northwest over the next several days and move toward Kyushu, Japan. Noru is expected to near Kyushu around August 5. Kyushu is the third biggest island of Japan and located farthest southwest of Japan's four main islands. Provided by NASA's Goddard Space Flight Center NASA-NOAA's Suomi NPP satellite captured this infrared image of Typhoon Noru on July 30, 2017, at 11:50 a.m. EDT (1550 UTC) in the Northwestern Pacific Ocean. Credit: University of Wisconsin- Madison/CIMSS/William Straka III NASA-NOAA's Suomi NPP satellite captured an infrared image of Typhoon Noru that showed the structure and cloud top temperatures of the powerful thunderstorms circling its eye. On July 27, 2017 at 12:24 a.m. EDT (0424 UTC) the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument aboard NASA-NOAA's Suomi NPP satellite provided an infrared image of Typhoon Noru. The VIIRS image revealed very cold cloud top temperatures as cold as 190 Kelvin (minus 83.1 degrees Celsius/minus 117.7 degrees Fahrenheit) in thunderstorms circling the eye. Thunderstorms with cloud tops that high in the troposphere have been shown to generate heavy rain. At 11 a.m. EDT (1500 UTC) on July 30, the center of Typhoon Noru was located near 23.0 degrees north latitude and 139.3 degrees east longitude. -
Reprint 1345 Re-Analysis of the Maximum Intensity of Super
Reprint 1345 Re-analysis of the Maximum Intensity of Super Typhoon Hato CHOY Chun-wing, KONG Wai, LAU Po-wing The 32nd Guangdong - Hong Kong - Macao Seminar on Meteorological Science and Technology and The 23rd Guangdong - Hong Kong - Macao Meeting on Cooperation in Meteorological Operations (Macau 8-10 January 2018) 超強颱風天鴿最高強度的再分析 蔡振榮 江偉 劉保宏 香港天文台 摘要 二零一七年八月二十三日超強颱風天鴿(1713)吹襲香港期間,天文台需要 發出最高級別的十號颶風信號。當天早上本港風力普遍達到烈風至暴風程 度,南部地區及高地則持續受到颶風吹襲。天鴿吹襲香港期間,本港最少 有 129 人受傷。適逢天文大潮及漲潮,天鴿所觸發的風暴潮導致本港及珠 江口沿岸出現嚴重水浸及破壞。 天鴿橫過南海北部期間顯著增強,再分析顯示天鴿很可能在八月二十三日 早上登陸前在香港以南水域短暫發展為超強颱風,中心附近最高的 10 分鐘 持續風速估計為每小時 185 公里。本文利用所有可用的氣象資料如衛星、 雷達及地面觀測來評定天鴿的最高強度。 Re-analysis of the Maximum Intensity of Super Typhoon Hato CHOY Chun-wing KONG Wai LAU Po-wing Hong Kong Observatory Abstract Super Typhoon Hato (1713) necessitated the issuance of the highest tropical cyclone warning signal in Hong Kong, No. 10 Hurricane Signal, during its passage on 23 August 2017, with gale to storm force winds generally affecting Hong Kong and winds persistently reaching hurricane force over the southern part of the territory and on high ground that morning. At least 129 people were injured in Hong Kong and, coinciding with the high water of the astronomical tide, storm surges induced by Hato also resulted in serious flooding and damages in Hong Kong and over the coast of Pearl River Estuary. Hato intensified rapidly as it traversed the northern part of the South China Sea and re-analysis suggested that Hato very likely attained super typhoon intensity for a short period over the sea areas south of Hong Kong on the morning of 23 August just before landfall, with an estimated maximum sustained 10-minute mean wind of 185 km/h near its centre. -
Tropical Cyclones Near Landfall Can Induce Their Own Intensification
ARTICLE https://doi.org/10.1038/s43247-021-00259-8 OPEN Tropical cyclones near landfall can induce their own intensification through feedbacks on radiative forcing ✉ Charlie C. F. Lok 1, Johnny C. L. Chan 1 & Ralf Toumi 2 Rapid intensification of near-landfall tropical cyclones is very difficult to predict, and yet has far-reaching consequences due to their disastrous impact to the coastal areas. The focus for improving predictions of rapid intensification has so far been on environmental conditions. Here we use the Coupled-Ocean-Atmosphere-Wave-Sediment Transport Modeling System to simulate tropical cyclones making landfall in South China: Nida (2016), Hato (2107) and 1234567890():,; Mangkhut (2018). Two smaller storms (Hato and Nida) undergo intensification, which is induced by the storms themselves through their extensive subsidence ahead of the storms, leading to clear skies and strong solar heating of the near-shore sea water over a shallow continental shelf. This heating provides latent heat to the storms, and subsequently inten- sification occurs. In contrast, such heating does not occur in the larger storm (Mangkhut) due to its widespread cloud cover. This results imply that to improve the prediction of tropical cyclone intensity changes prior to landfall, it is necessary to correctly simulate the short-term evolution of near-shore ocean conditions. 1 School of Energy and Environment, City University of Hong Kong, Hong Kong, China. 2 Space and Atmospheric Physics Group, Imperial College London, ✉ London, UK. email: [email protected] COMMUNICATIONS EARTH & ENVIRONMENT | (2021) 2:184 | https://doi.org/10.1038/s43247-021-00259-8 | www.nature.com/commsenv 1 ARTICLE COMMUNICATIONS EARTH & ENVIRONMENT | https://doi.org/10.1038/s43247-021-00259-8 ecause the damages caused by a tropical cyclone (TC) at moves over this warm water, and hence intensification occurs. -
NASA's Aqua Satellite Tracking Typhoon Noru in Northwestern Pacific 28 July 2017
NASA's Aqua satellite tracking Typhoon Noru in northwestern Pacific 28 July 2017 was moving toward the northwest near 9 knots (10.3 mph/16.6 kph). The JTWC noted that the intensity is forecast "to remain steady for the next 24 hours as dry air and moderate vertical wind shear are offset by higher sea surface temperatures and the development of an equatorward outflow channel. Beyond one day, Noru is forecast to intensify as it tracks over increasingly warm sea surface temperatures and a point source develops over top of the system." In addition to Noru, there's another typhoon in the Northwestern Pacific Ocean that lies to the west of Noru. Typhoon Nesat is headed for a landfall in On July 27 NASA's Aqua satellite captured a visible Taiwan on July 29. image of Typhoon Noru in the Northwestern Pacific Ocean. Credit: NASA Goddard MODIS Rapid Response Despite Noru's distance from Taiwan, the Taiwan Team Central Weather Bureau is also tracking the storm. For updated forecasts, visit: http://www.cwb.gov.tw/V7e/. NASA's Aqua satellite passed over Typhoon Noru in the Northwestern Pacific Ocean as the storm Provided by NASA's Goddard Space Flight Center continued moving toward the southwest and remaining far from the big island of Japan. On July 27 at 1:30 p.m. local time the Moderate Resolution Imaging Spectroradiometer or MODIS instrument aboard NASA's Aqua satellite captured a visible image of the storm that showed some powerful thunderstorms surrounding the center of circulation. The Joint Typhoon Warning Center (JTWC) noted on July 28, "animated multispectral satellite imagery depicts a struggling system with limited convection." On July 28 at 5 a.m. -
Objective Estimation of Tropical Cyclone Intensity from Active and Passive Microwave Remote Sensing Observations in the Northwestern Pacific Ocean
remote sensing Article Objective Estimation of Tropical Cyclone Intensity from Active and Passive Microwave Remote Sensing Observations in the Northwestern Pacific Ocean Kunsheng Xiang 1,2,3, Xiaofeng Yang 1,3,* , Miao Zhang 4, Ziwei Li 1 and Fanping Kong 1,2 1 State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China; [email protected] (K.X.); [email protected] (Z.L.); [email protected] (F.K.) 2 University of Chinese Academy of Sciences, Beijing 100049, China 3 The Hainan Key Laboratory of Earth Observation, Sanya 572029, China 4 Key Lab of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration (LRCVES/CMA) and National Satellite Meteorological Center, Beijing 100081, China; [email protected] * Correspondence: [email protected]; Tel.: +86-010-64806215 Received: 18 February 2019; Accepted: 11 March 2019; Published: 14 March 2019 Abstract: A method of estimating tropical cyclone (TC) intensity based on Haiyang-2A (HY-2A) scatterometer, and Special Sensor Microwave Imager and Sounder (SSMIS) observations over the northwestern Pacific Ocean is presented in this paper. Totally, 119 TCs from the 2012 to 2017 typhoon seasons were selected, based on satellite-observed data and China Meteorological Administration (CMA) TC best track data. We investigated the relationship among the TC maximum-sustained wind (MSW), the microwave brightness temperature (TB), and the sea surface wind speed (SSW). Then, a TC intensity estimation model was developed, based on a multivariate linear regression using the training data of 96 TCs. Finally, the proposed method was validated using testing data from 23 other TCs, and its root mean square error (RMSE), mean absolute error (MAE), and bias were 5.94 m/s, 4.62 m/s, and −0.43 m/s, respectively. -
二零一七熱帶氣旋tropical Cyclones in 2017
176 第四節 熱帶氣旋統計表 表4.1是二零一七年在北太平洋西部及南海區域(即由赤道至北緯45度、東 經 100度至180 度所包括的範圍)的熱帶氣旋一覽。表內所列出的日期只說明某熱帶氣旋在上述範圍內 出現的時間,因而不一定包括整個風暴過程。這個限制對表內其他元素亦同樣適用。 表4.2是天文台在二零一七年為船舶發出的熱帶氣旋警告的次數、時段、首個及末個警告 發出的時間。當有熱帶氣旋位於香港責任範圍內時(即由北緯10至30度、東經105至125 度所包括的範圍),天文台會發出這些警告。表內使用的時間為協調世界時。 表4.3是二零一七年熱帶氣旋警告信號發出的次數及其時段的摘要。表內亦提供每次熱帶 氣旋警告信號生效的時間和發出警報的次數。表內使用的時間為香港時間。 表4.4是一九五六至二零一七年間熱帶氣旋警告信號發出的次數及其時段的摘要。 表4.5是一九五六至二零一七年間每年位於香港責任範圍內以及每年引致天文台需要發 出熱帶氣旋警告信號的熱帶氣旋總數。 表4.6是一九五六至二零一七年間天文台發出各種熱帶氣旋警告信號的最長、最短及平均 時段。 表4.7是二零一七年當熱帶氣旋影響香港時本港的氣象觀測摘要。資料包括熱帶氣旋最接 近香港時的位置及時間和當時估計熱帶氣旋中心附近的最低氣壓、京士柏、香港國際機 場及橫瀾島錄得的最高風速、香港天文台錄得的最低平均海平面氣壓以及香港各潮汐測 量站錄得的最大風暴潮(即實際水位高出潮汐表中預計的部分,單位為米)。 表4.8.1是二零一七年位於香港600公里範圍內的熱帶氣旋及其為香港所帶來的雨量。 表4.8.2是一八八四至一九三九年以及一九四七至二零一七年十個為香港帶來最多雨量 的熱帶氣旋和有關的雨量資料。 表4.9是自一九四六年至二零一七年間,天文台發出十號颶風信號時所錄得的氣象資料, 包括熱帶氣旋吹襲香港時的最近距離及方位、天文台錄得的最低平均海平面氣壓、香港 各站錄得的最高60分鐘平均風速和最高陣風。 表4.10是二零一七年熱帶氣旋在香港所造成的損失。資料參考了各政府部門和公共事業 機構所提供的報告及本地報章的報導。 表4.11是一九六零至二零一七年間熱帶氣旋在香港所造成的人命傷亡及破壞。資料參考 了各政府部門和公共事業機構所提供的報告及本地報章的報導。 表4.12是二零一七年天文台發出的熱帶氣旋路徑預測驗証。 177 Section 4 TROPICAL CYCLONE STATISTICS AND TABLES TABLE 4.1 is a list of tropical cyclones in 2017 in the western North Pacific and the South China Sea (i.e. the area bounded by the Equator, 45°N, 100°E and 180°). The dates cited are the residence times of each tropical cyclone within the above‐mentioned region and as such might not cover the full life‐ span. This limitation applies to all other elements in the table. TABLE 4.2 gives the number of tropical cyclone warnings for shipping issued by the Hong Kong Observatory in 2017, the durations of these warnings and the times of issue of the first and last warnings for all tropical cyclones in Hong Kong's area of responsibility (i.e. the area bounded by 10°N, 30°N, 105°E and 125°E). Times are given in hours and minutes in UTC. TABLE 4.3 presents a summary of the occasions/durations of the issuing of tropical cyclone warning signals in 2017. The sequence of the signals displayed and the number of tropical cyclone warning bulletins issued for each tropical cyclone are also given. -
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. -
Field Survey of the 2017 Typhoon Hato and a Comparison with Storm
1 Field survey of the 2017 Typhoon Hato and a comparison with storm 2 surge modeling in Macau 3 Linlin Li1*, Jie Yang2,3*, Chuan-Yao Lin4, Constance Ting Chua5, Yu Wang1,6, Kuifeng 4 Zhao2, Yun-Ta Wu2, Philip Li-Fan Liu2,7,8, Adam D. Switzer1,5, Kai Meng Mok9, Peitao 5 Wang10, Dongju Peng1 6 1Earth Observatory of Singapore, Nanyang Technological University, Singapore 7 2Department of Civil and Environmental Engineering, National University of Singapore, Singapore 8 3College of Harbor, Coastal and Offshore Engineering, Hohai University, China 9 4Research Center for Environmental Changes, Academia Sinica, Taipei 115, Taiwan 10 5Asian School of the Environment, Nanyang Technological University, Singapore 11 6Department of Geosciences, National Taiwan University, Taipei, Taiwan 12 7School of Civil and Environmental Engineering, Cornell University, USA 13 8Institute of Hydrological and Ocean Research, National Central University, Taiwan 14 9Department of Civil and Environmental Engineering, University of Macau, Macau, China 15 10National Marine Environmental Forecasting Center, Beijing, China 16 Corresponding to: Linlin Li ([email protected]) ; Jie Yang ([email protected]) 17 Abstract: On August 23, 2017 a Category 3 Typhoon Hato struck Southern China. Among the hardest hit cities, 18 Macau experienced the worst flooding since 1925. In this paper, we present a high-resolution survey map recording 19 inundation depths and distances at 278 sites in Macau. We show that one half of the Macau Peninsula was inundated 20 with the extent largely confined by the hilly topography. The Inner Harbor area suffered the most with the maximum 21 inundation depth of 3.1m at the coast. -
Earth Observations for Environmental Sustainability for the Next Decade
remote sensing Editorial Preface: Earth Observations for Environmental Sustainability for the Next Decade Yuei-An Liou 1,2,* , Yuriy Kuleshov 3,4, Chung-Ru Ho 5 , Kim-Anh Nguyen 1,6 and Steven C. Reising 7 1 Center for Space and Remote Sensing Research, National Central University, No. 300, Jhongda Rd., Jhongli District, Taoyuan City 32001, Taiwan; [email protected] 2 Taiwan Group on Earth Observations, Hsinchu 32001, Taiwan 3 Australian Bureau of Meteorology, 700 Collins Street, Docklands, Melbourne, VIC 3008, Australia; [email protected] 4 SPACE Research Centre, School of Science, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, VIC 3000, Australia 5 Department of Marine Environmental Informatics, National Taiwan Ocean University, Keelung 32001, Taiwan; [email protected] 6 Institute of Geography, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet Rd., Cau Giay, Hanoi 100000, Vietnam 7 Electrical and Computer Engineering Department, Colorado State University, 1373 Campus Delivery, Fort Collins, CO 80523-1373, USA; [email protected] * Correspondence: [email protected]; Tel.: +886-3-4227151 (ext. 57631); Fax: +886-3-4254908 Evidence of the rapid degradation of the Earth’s natural environment has grown in recent years. Sustaining our planet has become the greatest concern faced by humanity. Of the 17 Sustainable Development Goals (SDGs) in the 2030 Agenda for Sustainable Development, Earth observations have been identified as major contributors to nine of them: 2 (Zero Hunger), 3 (Good Health and Well-Being), 6 (Clean Water and Sanitation), Citation: Liou, Y.-A.; Kuleshov, Y.; 7 (Affordable and Clean Energy), 11 (Sustainable Cities and Communities), 12 (Sustainable Ho, C.-R.; Nguyen, K.-A.; Reising, Consumption and Production), 13 (Climate Action), 14 (Life Below Water), and 15 (Life on S.C.