Recent Advances in Research and Forecasting of Tropical Cyclone Rainfall
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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. -
An Efficient Method for Simulating Typhoon Waves Based on A
Journal of Marine Science and Engineering Article An Efficient Method for Simulating Typhoon Waves Based on a Modified Holland Vortex Model Lvqing Wang 1,2,3, Zhaozi Zhang 1,*, Bingchen Liang 1,2,*, Dongyoung Lee 4 and Shaoyang Luo 3 1 Shandong Province Key Laboratory of Ocean Engineering, Ocean University of China, 238 Songling Road, Qingdao 266100, China; [email protected] 2 College of Engineering, Ocean University of China, 238 Songling Road, Qingdao 266100, China 3 NAVAL Research Academy, Beijing 100070, China; [email protected] 4 Korea Institute of Ocean, Science and Technology, Busan 600-011, Korea; [email protected] * Correspondence: [email protected] (Z.Z.); [email protected] (B.L.) Received: 20 January 2020; Accepted: 23 February 2020; Published: 6 March 2020 Abstract: A combination of the WAVEWATCH III (WW3) model and a modified Holland vortex model is developed and studied in the present work. The Holland 2010 model is modified with two improvements: the first is a new scaling parameter, bs, that is formulated with information about the maximum wind speed (vms) and the typhoon’s forward movement velocity (vt); the second is the introduction of an asymmetric typhoon structure. In order to convert the wind speed, as reconstructed by the modified Holland model, from 1-min averaged wind inputs into 10-min averaged wind inputs to force the WW3 model, a gust factor (gf) is fitted in accordance with practical test cases. Validation against wave buoy data proves that the combination of the two models through the gust factor is robust for the estimation of typhoon waves. -
MEMBER REPORT Hong Kong, China
MEMBER REPORT Hong Kong, China 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. Tropical cyclone surveillance flights 2. Enhancement of meteorological observation over the South China Sea 3. Extended outlook on tropical cyclone track probability 4. Communication of information for strengthening resilience of communities against typhoon-related disasters 5. System and product development to support tropical cyclone operation 6. Community version of “Short-range Warning of Intense Rainstorms in Localized Systems” (SWIRLS) 7. Mesoscale and high-resolution regional prediction systems for tropical cyclones 8. Commemoration of the 100th anniversary of numbered tropical cyclone signal system in Hong Kong 9. Typhoon Committee Research Fellowship I. Overview of tropical cyclones which have affected/impacted Member’s area since the last Committee Session 1. Meteorological Assessment (highlighting forecasting issues/impacts) Seven tropical cyclones affected Hong Kong, China from 1 January to 31 October 2017 (tracks as shown in Figure 1 and position errors of forecasts issued by the Hong Kong Observatory (HKO) in Table 1): Severe Tropical Storm Merbok (1702) in June, Tropical Strom Roke (1707) in July, Super Typhoon Hato (1713) and Severe Tropical Storm Pakhar (1714) in quick succession over a 5-day period in late August, Severe Tropical Storm Mawar (1716), a tropical depression over the South China Sea in September and Severe Typhoon Khanun (1720) in October. -
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. -
Author's Response
Response to Reviewer 1 We thank reviewer 1 for the valuable suggestions. In this revised version, we have made changes according to the suggestions and comments and highlighted where those changes are made. The point-by-point replies to the comments are below. General comments: In general, the MS is well prepared and written. After minor revision, I recommend the immediate publication of the paper considering that another similar typhoon Mangkhut (No 1822) occurred in 2018, which again affected the Macau city. These two cases could be inter-compared to explore many interesting phenomena and physical insights to help the local government to do a better countermeasure against such typhoon disasters. Author’s response: Thank you for your encouraging comments. Your suggestion of making comparison between Typhoon Hato (2017) and Typhoon Mangkhut (2018) is very important. Both Typhoons were rare and record-breaking events in terms of their extreme wind speeds and wide- spreading coastal flooding they caused in the Pearl River Delta region. Actually, immediately after Typhoon Mangkhut (2018), some of our co-authors did another post-typhoon field survey and obtained the first-hand flood parameters in the same area in Macau. The comparison between these two typhoons and their associated physical phenomena is on-going and will be discussed in a future paper. Comment 1: Lines 70-73. This is an interesting point. In general, the maximum storm surge occurs before the typhoon landfall. Hence, the worst scenario is the high tide occurs several hours before the typhoon landing. Ref.: Lai, F., Liu, H. (2017) Wave setup properties in the surge-wave coupled simulation: A case study of Typhoon Khanun. -
Appendix 8: Damages Caused by Natural Disasters
Building Disaster and Climate Resilient Cities in ASEAN Draft Finnal Report APPENDIX 8: DAMAGES CAUSED BY NATURAL DISASTERS A8.1 Flood & Typhoon Table A8.1.1 Record of Flood & Typhoon (Cambodia) Place Date Damage Cambodia Flood Aug 1999 The flash floods, triggered by torrential rains during the first week of August, caused significant damage in the provinces of Sihanoukville, Koh Kong and Kam Pot. As of 10 August, four people were killed, some 8,000 people were left homeless, and 200 meters of railroads were washed away. More than 12,000 hectares of rice paddies were flooded in Kam Pot province alone. Floods Nov 1999 Continued torrential rains during October and early November caused flash floods and affected five southern provinces: Takeo, Kandal, Kampong Speu, Phnom Penh Municipality and Pursat. The report indicates that the floods affected 21,334 families and around 9,900 ha of rice field. IFRC's situation report dated 9 November stated that 3,561 houses are damaged/destroyed. So far, there has been no report of casualties. Flood Aug 2000 The second floods has caused serious damages on provinces in the North, the East and the South, especially in Takeo Province. Three provinces along Mekong River (Stung Treng, Kratie and Kompong Cham) and Municipality of Phnom Penh have declared the state of emergency. 121,000 families have been affected, more than 170 people were killed, and some $10 million in rice crops has been destroyed. Immediate needs include food, shelter, and the repair or replacement of homes, household items, and sanitation facilities as water levels in the Delta continue to fall. -
An Introduction to Humanitarian Assistance and Disaster Relief (HADR) and Search and Rescue (SAR) Organizations in Taiwan
CENTER FOR EXCELLENCE IN DISASTER MANAGEMENT & HUMANITARIAN ASSISTANCE An Introduction to Humanitarian Assistance and Disaster Relief (HADR) and Search and Rescue (SAR) Organizations in Taiwan WWW.CFE-DMHA.ORG Contents Introduction ...........................................................................................................................2 Humanitarian Assistance and Disaster Relief (HADR) Organizations ..................................3 Search and Rescue (SAR) Organizations ..........................................................................18 Appendix A: Taiwan Foreign Disaster Relief Assistance ....................................................29 Appendix B: DOD/USINDOPACOM Disaster Relief in Taiwan ...........................................31 Appendix C: Taiwan Central Government Disaster Management Structure .......................34 An Introduction to Humanitarian Assistance and Disaster Relief (HADR) and Search and Rescue (SAR) Organizations in Taiwan 1 Introduction This information paper serves as an introduction to the major Humanitarian Assistance and Disaster Relief (HADR) and Search and Rescue (SAR) organizations in Taiwan and international organizations working with Taiwanese government organizations or non-governmental organizations (NGOs) in HADR. The paper is divided into two parts: The first section focuses on major International Non-Governmental Organizations (INGOs), and local NGO partners, as well as international Civil Society Organizations (CSOs) working in HADR in Taiwan or having provided -
Sigma 1/2008
sigma No 1/2008 Natural catastrophes and man-made disasters in 2007: high losses in Europe 3 Summary 5 Overview of catastrophes in 2007 9 Increasing flood losses 16 Indices for the transfer of insurance risks 20 Tables for reporting year 2007 40 Tables on the major losses 1970–2007 42 Terms and selection criteria Published by: Swiss Reinsurance Company Economic Research & Consulting P.O. Box 8022 Zurich Switzerland Telephone +41 43 285 2551 Fax +41 43 285 4749 E-mail: [email protected] New York Office: 55 East 52nd Street 40th Floor New York, NY 10055 Telephone +1 212 317 5135 Fax +1 212 317 5455 The editorial deadline for this study was 22 January 2008. Hong Kong Office: 18 Harbour Road, Wanchai sigma is available in German (original lan- Central Plaza, 61st Floor guage), English, French, Italian, Spanish, Hong Kong, SAR Chinese and Japanese. Telephone +852 2582 5691 sigma is available on Swiss Re’s website: Fax +852 2511 6603 www.swissre.com/sigma Authors: The internet version may contain slightly Rudolf Enz updated information. Telephone +41 43 285 2239 Translations: Kurt Karl (Chapter on indices) CLS Communication Telephone +41 212 317 5564 Graphic design and production: Jens Mehlhorn (Chapter on floods) Swiss Re Logistics/Media Production Telephone +41 43 285 4304 © 2008 Susanna Schwarz Swiss Reinsurance Company Telephone +41 43 285 5406 All rights reserved. sigma co-editor: The entire content of this sigma edition is Brian Rogers subject to copyright with all rights reserved. Telephone +41 43 285 2733 The information may be used for private or internal purposes, provided that any Managing editor: copyright or other proprietary notices are Thomas Hess, Head of Economic Research not removed. -
Reactions Rendez-Vous Reporter 2018 Day 2
RENDEZ-VOUS REPORTER DAY 2: MONDAY SEPTEMBER 10 2018 Co-sponsor Benchimol backs Lloyd’s remediation moves AXIS Capital chief executive Albert Benchimol is it needs to address and the overall profitability of Contents “highly encouraged” by the moves being made by Lloyd’s is challenged right now,” he told Reactions. Change the Jon Hancock and his team to strengthen Lloyd’s and AXIS increased its investment in Lloyd’s last year Pool for good .......3 improve the market’s profitability. with the circa-$600m acquisition of Novae, and GC’s insurtech matchmaking Back in June, Lloyd’s performance management Benchimol said the Corporation’s commitment to service .................4 director Jon Hancock outlined a plan which will improve syndicates’ performance made the deal Organic growth for force syndicates to deliver a sustained profitable increasingly attractive. Greenlight Re ......7 performance or risk being closed. The market ended “I am highly encouraged with some of the moves Insurance brings 2017 with an underwriting loss of £3.4bn, with we are seeing,” said Benchimol, adding: “I think Jon stability ...............7 attritional losses and heavy natural catastrophe claims Hancock’s initiative to put pressure on individual Tailwinds ahead for QBE NA ...............8 taking their toll on the market. Lloyd’s distribution syndicates to look at their worst performing business Plugging China’s costs also continue to plague One Lime Street, further and take serious action to improve their profitability is protection gap...10 pushing down syndicates’ ability to turn a profit. absolutely the right move by the market.” Reinsurers to focus In response, Hancock revealed a plan earlier this As Benchimol explained, Hancock’s moves may on bottom line ...13 summer that will force syndicates which have ended lead to a lower level of premium being generated by PERILS profile set each of the last three years in the red to submit the Lloyd’s, but that will ultimately lead to the to grow ..............13 a credible business plan that will return them market becoming more profitable. -
Gaining from Losses: Using Disaster Loss Data As a Tool for Appraising Natural Disaster Policy
GAINING FROM LOSSES: USING DISASTER LOSS DATA AS A TOOL FOR APPRAISING NATURAL DISASTER POLICY by SHALINI MOHLEJI B.A., University of Virginia, 2000 M.S., Purdue University, 2002 A thesis submitted to the Faculty of the Graduate School of the University of Colorado in partial fulfillment of the requirement for the degree of Doctor of Philosophy Environmental Studies Program 2011 This thesis entitled: Gaining from Losses: Using Disaster Loss Data as a Tool for Appraising Natural Disaster Policy written by Shalini Mohleji has been approved for the Environmental Studies Program Roger Pielke Jr. Sam Fitch Date 5/26/11 The final copy of this thesis has been examined by the signatories, and we find that both the content and the form meet acceptable presentation standards of scholarly work in the above mentioned discipline. IRB protocol #: 11-0029 iii Mohleji, Shalini (Ph.D., Environmental Studies) Gaining from Losses: Using Disaster Loss Data as a Tool for Appraising Natural Disaster Policy Thesis directed by Dr. Roger Pielke Jr. ABSTRACT This dissertation capitalizes on an opportunity, untapped until now, to utilize data on disaster losses to appraise natural disaster policy. Through a set of three distinct studies, I use data on economic losses caused by natural disasters in order to analyze trends in disaster severity and answer important disaster policy questions. The first study reconciles the apparent disconnect between (a) claims that global disaster losses are increasing due to anthropogenic climate change and (b) studies that find regional losses are increasing due to socioeconomic factors. I assess climate change and global disaster severity through regional analyses derived by disaggregating global loss data into their regional components. -
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.