Risk Assessment of Forest Disturbance by Typhoons With
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
NICAM Predictability of the Monsoon Gyre Over The
EARLY ONLINE RELEASE This is a PDF of a manuscript that has been peer-reviewed and accepted for publication. As the article has not yet been formatted, copy edited or proofread, the final published version may be different from the early online release. This pre-publication manuscript may be downloaded, distributed and used under the provisions of the Creative Commons Attribution 4.0 International (CC BY 4.0) license. It may be cited using the DOI below. The DOI for this manuscript is DOI:10.2151/jmsj.2019-017 J-STAGE Advance published date: December 7th, 2018 The final manuscript after publication will replace the preliminary version at the above DOI once it is available. 1 NICAM predictability of the monsoon gyre over the 2 western North Pacific during August 2016 3 4 Takuya JINNO1 5 Department of Earth and Planetary Science, Graduate School of Science, 6 The University of Tokyo, Bunkyo-ku, Tokyo, Japan 7 8 Tomoki MIYAKAWA 9 Atmosphere and Ocean Research Institute 10 The University of Tokyo, Tokyo, Japan 11 12 and 13 Masaki SATOH 14 Atmosphere and Ocean Research Institute 15 The University of Tokyo, Tokyo, Japan 16 17 18 19 20 Sep 30, 2018 21 22 23 24 25 ------------------------------------ 26 1) Corresponding author: Takuya Jinno, School of Science, 7-3-1, Hongo, Bunkyo-ku, 27 Tokyo 113-0033 JAPAN. 28 Email: [email protected] 29 Tel(domestic): 03-5841-4298 30 Abstract 31 In August 2016, a monsoon gyre persisted over the western North Pacific and was 32 associated with the genesis of multiple devastating tropical cyclones. -
38Th Conference on Radar Meteorology
38th Conference on Radar Meteorology 28 August – 1 September 2017 Swissôtel Hotel Chicago, IL 38TH CONFERENCE ON RADAR METEOROLOGY 28 AUGUST-1 SEPTEMBER 2017 SWISSÔTEL CHICAGO, IL CONNECT Conference Twitter: #AMSRadar2017 Conference Facebook: https://www.facebook.com/AMSradar2017/ ORGANIZERS The 38th Conference on Radar Meteorology is organized by the AMS Radar Meteorology and hosted by the American Meteorological Society. SPONSORS Thank you to the sponsoring organizations that helped make the 38th Conference on Radar Meteorology possible: PROGRAM COMMITTEE Co-Chairs: Scott Collis, ANL, Argonne, IL and Scott Ellis, NCAR, Boulder, CO New and Emerging Radar Technology Lead: Stephen Frasier, University of Massachusetts * Vijay Venkatesh, NASA Goddard * Boon Leng Cheong, University of Oklahoma * Bradley Isom, Pacific Northwest National Laboratory * Eric Loew, NCAR EOL * Jim George, Colorado State University Radar Networks, Quality Control, Processing and Software Lead: Daniel Michelson, Environment Canada * Adrian Loftus, NASA and University of Maryland * Francesc Junyent, Colorado State Univeristy * Hidde Leijnse, Royal Netherlands Meteorological Institute (KNMI) * Joseph Hardin, Pacific Northwest National Laboratory General Information Quantitative Precipitation Estimation and Hydrology Lead: Walter Petersen, NASA-MSFC * Amber Emory, NASA * David Wolff, NASA * Jian Zhang, NSSL/OU AMERICAN METEOROLOGICAL SOCIETY Microphysical Studies with Radars Lead: Christopher Williams, Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder * Daniel Dawson, Purdue University * Matthew Kumjian, Pennsylvania State University * Marcus van Lier-Walqui, NASA Goddard Institute for Space Studies Organized Convection and Severe Phenomena Lead: Tammy Weckwerth, National Center for Atmospheric Research * Angela Rowe, University of Washington * Karen Kosiba, Center for Severe Weather Research * Kevin Knupp, University of Alabama, Huntsville * Timothy Lang, NASA * Stephen Guidmond, Univ. -
Appendix 3 Selection of Candidate Cities for Demonstration Project
Building Disaster and Climate Resilient Cities in ASEAN Final Report APPENDIX 3 SELECTION OF CANDIDATE CITIES FOR DEMONSTRATION PROJECT Table A3-1 Long List Cities (No.1-No.62: “abc” city name order) Source: JICA Project Team NIPPON KOEI CO.,LTD. PAC ET C ORP. EIGHT-JAPAN ENGINEERING CONSULTANTS INC. A3-1 Building Disaster and Climate Resilient Cities in ASEAN Final Report Table A3-2 Long List Cities (No.63-No.124: “abc” city name order) Source: JICA Project Team NIPPON KOEI CO.,LTD. PAC ET C ORP. EIGHT-JAPAN ENGINEERING CONSULTANTS INC. A3-2 Building Disaster and Climate Resilient Cities in ASEAN Final Report Table A3-3 Long List Cities (No.125-No.186: “abc” city name order) Source: JICA Project Team NIPPON KOEI CO.,LTD. PAC ET C ORP. EIGHT-JAPAN ENGINEERING CONSULTANTS INC. A3-3 Building Disaster and Climate Resilient Cities in ASEAN Final Report Table A3-4 Long List Cities (No.187-No.248: “abc” city name order) Source: JICA Project Team NIPPON KOEI CO.,LTD. PAC ET C ORP. EIGHT-JAPAN ENGINEERING CONSULTANTS INC. A3-4 Building Disaster and Climate Resilient Cities in ASEAN Final Report Table A3-5 Long List Cities (No.249-No.310: “abc” city name order) Source: JICA Project Team NIPPON KOEI CO.,LTD. PAC ET C ORP. EIGHT-JAPAN ENGINEERING CONSULTANTS INC. A3-5 Building Disaster and Climate Resilient Cities in ASEAN Final Report Table A3-6 Long List Cities (No.311-No.372: “abc” city name order) Source: JICA Project Team NIPPON KOEI CO.,LTD. PAC ET C ORP. -
(2004) and Yagi (2006) Using Four Methods
1394 WEATHER AND FORECASTING VOLUME 27 Determining the Extratropical Transition Onset and Completion Times of Typhoons Mindulle (2004) and Yagi (2006) Using Four Methods QIAN WANG Ocean University of China, Qingdao, and Shanghai Typhoon Institute and Laboratory of Typhoon Forecast Technique, China Meteorological Administration, Shanghai, China QINGQING LI Shanghai Typhoon Institute and Laboratory of Typhoon Forecast Technique, China Meteorological Administration, Shanghai, China GANG FU Laboratory of Physical Oceanography, Key Laboratory of Ocean–Atmosphere Interaction and Climate in Universities of Shandong, and Department of Marine Meteorology, Ocean University of China, Qingdao, China (Manuscript received 5 December 2011, in final form 21 July 2012) ABSTRACT Four methods for determining the extratropical transition (ET) onset and completion times of Typhoons Mindulle (2004) and Yagi (2006) were compared using four numerically analyzed datasets. The open-wave and scalar frontogenesis parameter methods failed to smoothly and consistently determine the ET completion from the four data sources, because some dependent factors associated with these two methods significantly impacted the results. Although the cyclone phase space technique succeeded in determining the ET onset and completion times, the ET onset and completion times of Yagi identified by this method exhibited a large distinction across the datasets, agreeing with prior studies. The isentropic potential vorticity method was also able to identify the ET onset times of both Mindulle and Yagi using all the datasets, whereas the ET onset time of Yagi determined by such a method differed markedly from that by the cyclone phase space technique, which may create forecast uncertainty. 1. Introduction period due to the complex interaction between the cy- clone and the midlatitude systems. -
Data Collection Survey on Strategy Development of Disaster Risk Reduction and Management in the Socialist Republic of Vietnam
SOCIALIST REPUBLIC OF VIETNAM DATA COLLECTION SURVEY ON STRATEGY DEVELOPMENT OF DISASTER RISK REDUCTION AND MANAGEMENT IN THE SOCIALIST REPUBLIC OF VIETNAM FINAL REPORT SEPTEMBER 2018 JAPAN INTERNATIONAL COOPERATION AGENCY (JICA) EARTH SYSTEM SCIENCE CO., LTD. NIKKEN SEKKEI CIVIL ENGINEERING LTD. 1R IDEA CONSULTANTS, INC. JR 18-070 SOCIALIST REPUBLIC OF VIETNAM DATA COLLECTION SURVEY ON STRATEGY DEVELOPMENT OF DISASTER RISK REDUCTION AND MANAGEMENT IN THE SOCIALIST REPUBLIC OF VIETNAM FINAL REPORT SEPTEMBER 2018 JAPAN INTERNATIONAL COOPERATION AGENCY (JICA) EARTH SYSTEM SCIENCE CO., LTD. NIKKEN SEKKEI CIVIL ENGINEERING LTD. IDEA CONSULTANTS, INC. Following Currency Rates are used in the Report Vietnam Dong VND 1,000 US Dollar US$ 0.043 Japanese Yen JPY 4.800 Survey Targeted Area (Division of Administration) Final Report Data Collection Survey on Strategy Development of Disaster Risk Reduction and Management in the Socialist Republic of Vietnam SUMMARY 1. Natural Disaster Risk in Vietnam (1) Disaster Damages According to statistics of natural disaster records from 2007 to 2017, the number of deaths and missing by floods and storms accounts for 77% of total death and missing. The number of deaths and missing of landslide and flash flood is second largest, it accounts for 10 % of total number. The largest economic damage is also brought by floods and storms, which accounts for 91% of the total damage. In addition, damage due to drought accounts for 6.4 %, which was brought by only drought event in 2014-2016. Figure 1: Disaster records in Vietnam Regarding distribution of disasters, deaths and missing as well as damage amount caused by floods and storms are distributed countrywide centering on the coastal area. -
Appendix (PDF:4.3MB)
APPENDIX TABLE OF CONTENTS: APPENDIX 1. Overview of Japan’s National Land Fig. A-1 Worldwide Hypocenter Distribution (for Magnitude 6 and Higher Earthquakes) and Plate Boundaries ..................................................................................................... 1 Fig. A-2 Distribution of Volcanoes Worldwide ............................................................................ 1 Fig. A-3 Subduction Zone Earthquake Areas and Major Active Faults in Japan .......................... 2 Fig. A-4 Distribution of Active Volcanoes in Japan ...................................................................... 4 2. Disasters in Japan Fig. A-5 Major Earthquake Damage in Japan (Since the Meiji Period) ....................................... 5 Fig. A-6 Major Natural Disasters in Japan Since 1945 ................................................................. 6 Fig. A-7 Number of Fatalities and Missing Persons Due to Natural Disasters ............................. 8 Fig. A-8 Breakdown of the Number of Fatalities and Missing Persons Due to Natural Disasters ......................................................................................................................... 9 Fig. A-9 Recent Major Natural Disasters (Since the Great Hanshin-Awaji Earthquake) ............ 10 Fig. A-10 Establishment of Extreme Disaster Management Headquarters and Major Disaster Management Headquarters ........................................................................... 21 Fig. A-11 Dispatchment of Government Investigation Teams (Since -
Analysis of Uncertainties in Forecasts of Typhoon Soudelor (2015) from Ensemble Prediction Models
SOLA, 2018, Vol. 14, 203−209, doi:10.2151/sola.2018-036 203 Analysis of Uncertainties in Forecasts of Typhoon Soudelor (2015) from Ensemble Prediction Models Deqiang Liu1, 2, 3, Xubin Zhang4, Yerong Feng4, Ning Pan1, and Chuanrong Huang5 1Fujian Meteorological Observatory, Fuzhou, China 2Laboratory of Straits Meteorology, Xiamen Meteorological Bureau, Xiamen, China 3Wuyishan National Park Meteorological Observatory, Wuyishan, China 4Institute of Tropical and Marine Meteorology, Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, CMA, Guangzhou, China 5Fujian Meteorological Service, Fuzhou, China by Bassill (2014), who demonstrated that the choice of cumulus Abstract parameterization led to TCT differences between two operational models of the European Center for Medium-Range Weather Fore- Using data from nine ensemble prediction systems (EPSs), casting (ECMWF). Through an assessment of TIGGE data for we analyze uncertainties in forecasted tropical cyclone TC track hurricane Sandy (2012), Magnusson et al. (20140 demonstrated (TCT), TC intensity (TCI) and relevant heavy rainfall (TCHR) that higher-resolution global models performed better than coarse for Typhoon Soudelor (2015) as it affected the Taiwan Strait and global models in their prediction of tropical cyclone intensity surrounding regions. The largest uncertainties in track predictions (TCI). occurred when Soudelor traversed Taiwan and when it recurved Uncertainty in tropical cyclone prediction can also be northeastward after making landfall in mainland -
Impact of Major Typhoons in 2016 on Sea Surface Features in the Northwestern Pacific
water Article Impact of Major Typhoons in 2016 on Sea Surface Features in the Northwestern Pacific Dan Song 1 , Linghui Guo 1,*, Zhigang Duan 2 and Lulu Xiang 1 1 Institute of Physical Oceanography and Remote Sensing, Ocean College, Zhejiang University, No. 1 Zheda Road, Zhoushan 316021, China; [email protected] (D.S.); [email protected] (L.X.) 2 32020 Unit, Chinese People’s Liberation Army, No. 15 Donghudong Road, Wuhan 430074, China; [email protected] * Correspondence: [email protected] Received: 22 August 2018; Accepted: 24 September 2018; Published: 25 September 2018 Abstract: Studying the interaction between the upper ocean and the typhoons is crucial to improve our understanding of heat and momentum exchange between the ocean and the atmosphere. In recent years, the upper ocean responses to typhoons have received considerable attention. The sea surface cooling (SSC) process has been repeatedly discussed. In the present work, case studies were examined on five strong and super typhoons that occurred in 2016—LionRock, Meranti, Malakas, Megi, and Chaba—to search for more evidence of SSC and new features of typhoons’ impact on sea surface features. Monitoring data from the Central Meteorological Observatory, China, sea surface temperature (SST) data from satellite microwave and infrared remote sensing, and sea level anomaly (SLA) data from satellite altimeters were used to analyze the impact of typhoons on SST, the relationship between SSC and pre-existing eddies, the distribution of cold and warm eddies before and after typhoons, as well as the relationship between eddies and the intensity of typhoons. Results showed that: (1) SSC generally occurred during a typhoon passage and the degree of SSC was determined by the strength and the translation speed of the typhoon, as well as the pre-existing sea surface conditions. -
Analysis of the Dynamic Responses of the Northern Guam Lens Aquifer to Sea Level Change and Recharge
ANALYSIS OF THE DYNAMIC RESPONSES OF THE NORTHERN GUAM LENS AQUIFER TO SEA LEVEL CHANGE AND RECHARGE H. Victor Wuerch Benny C. Cruz Arne E. Olsen Technical Report No. 118 November, 2007 Analysis of the Dynamic Response of the Northern Guam Lens Aquifer to Sea Level Change and Recharge by H. Victor Wuerch Benny C. Cruz Guam Environmental Protection Agency & Arne E. Olsen Water & Environmental Research Institute of the Western Pacific University of Guam Technical Report No. 118 November, 2007 The work reported herein was funded, in part, by the Government of Guam via the Guam Hydrologic Survey administered through the Water and Environmental Research Institute of the Western Pacific (WERI) at the University of Guam and the Guam Environmental Protection Agency (GEPA) Consolidated Grant from the U.S. Environmental Protection Agency (FY 2004, Consolidated Grant and FY 2005 Consolidated Grant). Funding for data collection was provided to the Department of the Interior, U.S. Geological Survey (USGS) through a Joint Funding Agreement between the GEPA and the USGS, under Contract Number C04-0603-270. The content of this report does not necessarily reflect the views and policies of the Department of Interior, nor does the mention of trade names or commercial products constitute their endorsement by the Government of Guam or the United States Government. ABSTRACT Northern Guam Lens (Lens) is the primary fresh water resource on Guam. A plethora of research has been conducted upon the Lens; generally, this research has focused on aquifer processes that occur at a monthly or annual time scale. The focus of this paper is analysis of data that was collected, in a collaborative effort between the Guam Environmental Protection Agency, the United States Geological Survey, and the Water and Environmental Research Institute of the Western Pacific at the University of Guam, between May 25, 2004 and February 20, 2005, at a finer time-scale. -
Member Report
MEMBER REPORT ESCAP/WMO Typhoon Committee 11th Integrated Workshop Japan Cebu, the Philippines 24 – 27 October 2016 CONTENTS I. Overview of tropical cyclones that have affected Members’ areas in 2016 1. Meteorological assessment 2. Hydrological assessment I. Overview of flooding II. Overview of 2016 sediment incidents 3. Socio-Economic assessment Damage caused by major tropical cyclone disasters in 2016 (as of September 29) II. Summary of progress in Key Result Areas Asian Conference on Disaster Reduction (ACDR) 2016 Urban search-and-rescue training in Singapore as an ADRC activity for disaster mitigation Visiting Researchers from ADRC Member Countries Asian Water Cycle Symposium 2016 in Tokyo, Japan New Products on the RSMC Tokyo-Typhoon Center’s Numerical Typhoon Prediction Website 16th Typhoon Committee Attachment Training at the RSMC Tokyo – Typhoon Center Updates on JMA’s numerical weather prediction system Promotion of Himawari-8/-9 data utilization TCC products and publications related to tropical cyclones Addition of storm surge/wave information I. Overview of tropical cyclones that have affected Members’ areas in 2016 1. Meteorological assessment In 2016, 11 tropical cyclones (TCs) of tropical storm (TS) intensity or higher had come within 300 km of the Japanese islands as of 7 October. Japan was affected by 7 of these, with 6 making landfall. These 7 TCs are described below, and their tracks are shown in Figure 1. (1) STS Chanthu (1607) Chanthu was upgraded to TS intensity west of the Northern Mariana Islands at 18 UTC on 13 August. It moved northward and reached its peak intensity with maximum sustained winds of 55 kt and a central pressure of 980 hPa off the eastern coast of the Tohoku region at 00 UTC on 17 August. -
A Chronology of Notable Weather Events by Douglas V. Hoyt
A Chronology of Notable Weather Events by Douglas V. Hoyt Edition of 8/4/2011 243 A. D. An inundation of the sea in Lincolnshire laid under water many thousands of acres (Camden). 353 Flood in Cheshire in which 3000 people died along with thousands of cattle (Hayden). 402 Euxine Sea frozen over for 20 days (Hayden) 500 The Vandals from Poland held Western Africa, the Diocese of Africa, Visigoth (Western Goth) from Scandia held Spain, Ostrogoth (Eastern Goth) from Scandia held Italy, Germanic-Franks from Scandia held Gaul, Burgundians held Rhone river, and Celts, Germanic-Anglo-Saxon held the diocese of England. The massive migration of the Mongols, the Huns, Goth, Slav-Bulgars, and Avars westward is because of adverse weather conditions driving them from their lands . The Germanic-Danes inhabited the Danish Islands, Schonen, and later Jutland. St. Brendan (521-527) in his voyage to the northwest suggests the Celts of Ireland discovered America about this time. The Polynesian reached Hawaii and established agricultural settlements. These people had traveled 2500 miles from Island to Island. It is inconceivable that these peoples didn't reach America in the past 500 years. The Polynesians colonized Hawaii, Easter Island, and Madagascar by 500 A.D. 507 Men from Tsinngan, China report being blown across the Great Sea East to a people who speak a strange language. 508 In England, the rivers were frozen for more than two months (including Thames?). Possible severe winter. Rivers frozen for two months. Years also quoted as 507 or 509. 514 St. Brendan (484-577) of Ireland explored the area discovering the Hebrides, Orkney, Faeroe Islands and Iceland, starting about this time.