Action Proposed
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
Environmental Influences on Sinking Rates and Distributions Of
www.nature.com/scientificreports OPEN Environmental infuences on sinking rates and distributions of transparent exopolymer particles after a typhoon surge at the Western Pacifc M. Shahanul Islam1,3, Jun Sun 2,3*, Guicheng Zhang3, Zhuo Chen3 & Hui Zhou 4 A multidisciplinary approach was used to investigate the causes of the distributions and sinking rates of transparent exopolymer particles (TEPs) during the period of September–October (2017) in the Western Pacifc Ocean (WPO); the study period was closely dated to a northwest typhoon surge. The present study discussed the impact of biogeophysical features on TEPs and their sinking rates (sTEP) at depths of 0–150 m. During the study, the concentration of TEPs was found to be higher in areas adjacent to the Kuroshio current and in the bottom water layer of the Mindanao upwelling zone due to the widespread distribution of cyanobacteria, i.e., Trichodesmium hildebrandti and T. theibauti. The positive signifcant regressions of TEP concentrations with Chl-a contents in eddy-driven areas (R2 = 0.73, especially at 100 m (R2 = 0.75)) support this hypothesis. However, low TEP concentrations and TEPs were observed at mixed layer depths (MLDs) in the upwelling zone (Mindanao). Conversely, high TEP concentrations and high sTEP were found at the bottom of the downwelling zone (Halmahera). The geophysical directions of eddies may have caused these conditions. In demonstrating these relations, the average interpretation showed the negative linearity of TEP concentrations with TEPs (R2 = 0.41 ~ 0.65) at such eddies. Additionally, regression curves (R2 = 0.78) indicated that atmospheric pressure played a key role in the changes in TEPs throughout the study area. -
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. -
Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data
remote sensing Article Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data Juhyun Lee 1, Jungho Im 1,* , Dong-Hyun Cha 1, Haemi Park 2 and Seongmun Sim 1 1 School of Urban & Environmental Engineering in Ulsan National Institute of Science and Technology, Ulsan 44919, Korea; [email protected] (J.L.); [email protected] (D.-H.C.); [email protected] (S.S.) 2 Institute of Industrial Science in the University of Tokyo, A building, 4 Chome-6-1 Komaba, Meguro City, Tokyo 153-8505, Japan; [email protected] * Correspondence: [email protected]; Tel.: +82-52-217-2824 Received: 25 November 2019; Accepted: 25 December 2019; Published: 28 December 2019 Abstract: For a long time, researchers have tried to find a way to analyze tropical cyclone (TC) intensity in real-time. Since there is no standardized method for estimating TC intensity and the most widely used method is a manual algorithm using satellite-based cloud images, there is a bias that varies depending on the TC center and shape. In this study, we adopted convolutional neural networks (CNNs) which are part of a state-of-art approach that analyzes image patterns to estimate TC intensity by mimicking human cloud pattern recognition. Both two dimensional-CNN (2D-CNN) and three-dimensional-CNN (3D-CNN) were used to analyze the relationship between multi-spectral geostationary satellite images and TC intensity. Our best-optimized model produced a root mean squared error (RMSE) of 8.32 kts, resulting in better performance (~35%) than the existing model using the CNN-based approach with a single channel image. -
SITUATION UPDATE (FINAL) No.3 Typhoon Doksuri, Viet Nam Monday, 18 Sept 2017, 12:00 Hrs (UTC+7)
SITUATION UPDATE (FINAL) No.3 Typhoon Doksuri, Viet Nam Monday, 18 Sept 2017, 12:00 hrs (UTC+7) This situation update is provided by AHA Centre for the use of ASEAN Member States and relevant parties among ASEAN Member States. The information presented is collected from various sources including but not limited to ASEAN Member States, UN, IFRC, INGOs, & News Agencies. 1. HIGHLIGHTS Typhoon Doksuri has caused significant impact with the details as follow: 9 death, 4 missing, 112 people injured, 1,185 houses collapsed, 152,559 houses damaged and 10,923 houses flooded; The worst hit area were Ha Tinh and Quang Binh Provinces. The national and local government along has provided relief activities to the affected population The weather situation is improving in Viet Nam and the impact of the Typhoon is within the capacity of national government. 2. SUMMARY OF DISASTER EVENT Typhoon Doksuri with maximum sustained winds of 135 kph (wind gust up to 185 kph) has made landfall in the afternoon of Friday 15 September 2017 in Viet Nam. The worst hit area were Ha Tinh and Quang Binh. Based on the latest information from Department of Natural Resources Prevention and Protection (DNDPC) the impact from Typhoon Doksuri are as follow: Total of 9 people death with details: o 2 each from Hoa Binh, Thanh Hoa, and Quang Binh provinces o 1 each from Nghe An and Thua Thien Hue Four (4) people missing from Quang Binh; and 112 people injured. Damaged recorded are as follow: 1.185 housed collapsed; 152.599 houses damaged; 10.923 houses inundated; 4.473 rice fields were inundated; 8.277 ha other agricultural land inundated; and 16.108 ha aquaculture farms damaged. -
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. -
MEMBER REPORT Lao PDR
MEMBER REPORT Lao PDR ESCAP/WMO Typhoon Committee 12th Integrated Workshop Jeju, Republic of Korea 30 October – 3 November 2017 CONTENTS I. Overview of tropical cyclones which have affected/impacted Member’s area since the last Committee Session 1. Meteorological Assessment (highlighting forecasting issues/impacts). 2. Hydrological Assessment (highlighting water-related issues/impact) 3. Socio-Economic Assessment (highlighting socio-economic and DRR issues/impacts) 4. Regional Cooperation Assessment (highlighting regional cooperation success and challenges. II. Summary of Progress in Priorities supporting Key Result Areas 1. Enhancement of the meteorological and hydrological networks over Lao PDR. 2. Establishment of Flash Flood Alert System in Lao PDR I. Overview of tropical cyclones which have affected/impacted Member’s area since the last Committee Session 1. Meteorological Assessment (highlighting forecasting issues/impacts) There were 4 Tropical Cyclones affected Lao PDR from 1st January to 31st October 2017 (Tracks as shown in figure 1) which are above normal data passing Lao PDR (normal 2 – 3 tropcal cyclones). These tropical cyclones were classified into 3 categories which impacted directly over Lao PDR, namely: Severe Tropical Storm Talas (1704), Tropical Storm Sonca (1708), Typhoon Doksuri (1719), and Tropical Depression. Figure 1: Tropical Cyclones Track for 2017 over Western North Pacific (1) Severe Tropical Storm Talas (1704): Talas was the first tropical cyclones of the year 2017 passed over Lao PDR and it was number 4 of the year 2017 over Western North Pacific Ocean. Talas was formed to a tropical disturbance over South China Sea during 13 July 2017. The next day around 6:00 UTC, it developed as a weak tropical depression and started to move slowly towards the northwest. -
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. -
Double Warm-Core Structure of Typhoon Lan (2017) Observed by Dropsondes During T-PARCII
AAS03-15 Japan Geoscience Union Meeting 2018 Double warm-core structure of Typhoon Lan (2017) observed by dropsondes during T-PARCII *Hiroyuki Yamada1, Kazuhisa Tsuboki2, Norio Nagahama3, Kensaku Shimizu3, Tadayasu Ohigashi 4, Taro Shinoda2, Kosuke Ito1, Munehiko Yamaguchi5, Tetsuo Nakazawa5 1. University of the Ryukyus, 2. Nagoya University, 3. Meisei Electric, 4. Kyoto University, 5. Meteorological Research Institute A jet airplane (Gulfstream-II) with two newly-developed GPS dropsonde receivers was used to examine the inner core of Typhoon Lan (2017), as part of the Tropical Cyclones-Pacific Asian Research Campaign for the Improvement of Intensity Estimations/Forecasts (T-PARCII). During the first flight with several eye soundings in 0500-0700 UTC on 21 October, this typhoon was in its mature stage with a central pressure of 915 hPa. Satellite imagery showed the annular structure of this typhoon, with roughly 90-km diameter of the eye and surrounding axisymmetric eyewall convection. The flight route was initially designed to go around the eyewall convection, but was modified to go into the eye. This decision was made in flight using a weather avoidance radar. The airplane flew at 43,000 feet (~13.7 km) of altitude, and totally 8 and 10 dropsondes were deployed in the eye and around the eyewall, respectively. The deployment from this altitude enabled us to examine thermodynamic features of the eye in the lower and middle troposphere and marginally in the upper troposphere. Vertical profile of the eye soundings showed the warm core structure extending from the lower through upper troposphere, with two peaks near 3 km (~ 700 hPa) and above 12 km MSL (< 200 hPa). -
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. -
2019 Insurance Fact Book
2019 Insurance Fact Book TO THE READER Imagine a world without insurance. Some might say, “So what?” or “Yes to that!” when reading the sentence above. And that’s understandable, given that often the best experience one can have with insurance is not to receive the benefits of the product at all, after a disaster or other loss. And others—who already have some understanding or even appreciation for insurance—might say it provides protection against financial aspects of a premature death, injury, loss of property, loss of earning power, legal liability or other unexpected expenses. All that is true. We are the financial first responders. But there is so much more. Insurance drives economic growth. It provides stability against risks. It encourages resilience. Recent disasters have demonstrated the vital role the industry plays in recovery—and that without insurance, the impact on individuals, businesses and communities can be devastating. As insurers, we know that even with all that we protect now, the coverage gap is still too big. We want to close that gap. That desire is reflected in changes to this year’s Insurance Information Institute (I.I.I.)Insurance Fact Book. We have added new information on coastal storm surge risk and hail as well as reinsurance and the growing problem of marijuana and impaired driving. We have updated the section on litigiousness to include tort costs and compensation by state, and assignment of benefits litigation, a growing problem in Florida. As always, the book provides valuable information on: • World and U.S. catastrophes • Property/casualty and life/health insurance results and investments • Personal expenditures on auto and homeowners insurance • Major types of insurance losses, including vehicle accidents, homeowners claims, crime and workplace accidents • State auto insurance laws The I.I.I.