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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. -
NASA COP 22 Hyperwall Brochure 2016
United Nations Framework Convention on Climate Change NASA Hyperwall Science Stories Hyperwall Stories are Available for Download at: svs.gsfc.nasa.gov/hw Cover Image: SeaWIFS Full Mission Composite SeaStar, SeaWiFS, Chlorophyll Concentration Table of Contents Observing Earth from Space ...................................................................... 3 Changes at Earth’s Poles ............................................................................ 9 Water in the Earth System ......................................................................... 15 Earth’s Atmosphere .................................................................................... 37 Forests and Biodiversity ............................................................................. 45 Human Footprints ...................................................................................... 51 Observing Earth from Space Current Earth Science Satellite Missions In order to study the Earth as a whole system and understand how it is changing, NASA develops and supports a large number of Earth observing missions. These missions provide Earth science researchers the necessary data to address key questions about global climate change. Missions begin with a study phase during which the key science objectives of the mission are identified, and designs for spacecraft and instruments are analyzed. Following a successful study phase, missions enter a development phase whereby all aspects of the mission are developed and tested to insure it meets the mission objectives. -
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 -
Disaster Preparedness Level, Graph Showed the Data in %, Developed on the Basis of Survey Conducted in Region Vi
2014 Figures Nature Begins Where Human Predication Ends Typhoon Frank (Fengshen) 17th to 27th June, 2008 Credit: National Institute of Geological Sciences, University of the Philippines, 2012 Tashfeen Siddique – Research Fellow AIM – Stephen Zuellig Graduate School of Development Management 8/15/2014 Nature Begins Where Human Predication Ends Contents Acronyms and Abbreviations: ...................................................................................................... iv Brief History ........................................................................................................................................ 1 Philippines Climate ........................................................................................................................... 2 Chronology of Typhoon Frank ....................................................................................................... 3 Forecasting went wrong .................................................................................................................. 7 Warning and Precautionary Measures ...................................................................................... 12 Typhoon Climatology-Science ..................................................................................................... 14 How Typhoon Formed? .............................................................................................................. 14 Typhoon Structure ..................................................................................................................... -
Structural Characteristics of T-PARC Typhoon Sinlaku During Its Extratropical Transition
MAY 2014 Q U I N T I N G E T A L . 1945 Structural Characteristics of T-PARC Typhoon Sinlaku during Its Extratropical Transition JULIAN F. QUINTING Institute for Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany MICHAEL M. BELL* AND PATRICK A. HARR Department of Meteorology, Naval Postgraduate School, Monterey, California 1 SARAH C. JONES Institute for Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany (Manuscript received 28 September 2013, in final form 27 December 2013) ABSTRACT The structure and the environment of Typhoon Sinlaku (2008) were investigated during its life cycle in The Observing System Research and Predictability Experiment (THORPEX) Pacific Asian Regional Campaign (T-PARC). On 20 September 2008, during the transformation stage of Sinlaku’s extratropical transition (ET), research aircraft equipped with dual-Doppler radar and dropsondes documented the structure of the con- vection surrounding Sinlaku and low-level frontogenetical processes. The observational data obtained were assimilated with the recently developed Spline Analysis at Mesoscale Utilizing Radar and Aircraft In- strumentation (SAMURAI) software tool. The resulting analysis provides detailed insight into the ET system and allows specific features of the system to be identified, including deep convection, a stratiform pre- cipitation region, warm- and cold-frontal structures, and a dry intrusion. The analysis offers valuable information about the interaction of the features identified within the transitioning tropical cyclone. The existence of dry midlatitude air above warm-moist tropical air led to strong potential instability. Quasigeo- strophic diagnostics suggest that forced ascent during warm frontogenesis triggered the deep convective development in this potentially unstable environment. -
Dependence of Probabilistic Quantitative Precipitation Forecast Performance on Typhoon Characteristics and Forecast Track Error in Taiwan
APRIL 2020 T E N G E T A L . 585 Dependence of Probabilistic Quantitative Precipitation Forecast Performance on Typhoon Characteristics and Forecast Track Error in Taiwan HSU-FENG TENG AND JAMES M. DONE National Center for Atmospheric Research, Boulder, Colorado CHENG-SHANG LEE Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan YING-HWA KUO National Center for Atmospheric Research, and University Corporation for Atmospheric Research, Boulder, Colorado (Manuscript received 15 August 2019, in final form 7 January 2020) ABSTRACT This study investigates the probabilistic quantitative precipitation forecast (PQPF) performance of ty- phoons that affected Taiwan during 2011–16. In this period, a total of 19 typhoons with a land warning issued by the Central Weather Bureau (CWB) are analyzed. The PQPF is calculated using the ensemble precipi- tation forecast data from the Taiwan Cooperative Precipitation Ensemble Forecast Experiment (TAPEX), and the verification data, verification thresholds, and typhoon characteristics are obtained from the CWB. The overall PQPF performance of TAPEX has an acceptable reliability and discrimination ability, and the higher probability error is distributed at the mountainous area of Taiwan. The PQPF performance is significantly influenced by typhoon characteristics (e.g., typhoon tracks, sizes, and forward speeds). The PQPFs for westward-moving, large, or slow typhoons have higher reliability and discrimination ability, and lower- probability error than those for northward-moving, small, or fast typhoons, except for similar reliability between fast and slow typhoons. Because northward-moving or small typhoons have larger forecast track error, and their PQPF performance is sensitive to the accuracy of the forecast track, a higher probability error occurs than that for westward-moving or large typhoons. -
Observation and Simulation of the Genesis of Typhoon Fengshen (2008)
1 8D.7 GENESIS OF TYPHOON FENGSHEN (2008) FROM VORTEX SUPERPOSITION: PALAU FIELD EXPERIMENT AND A GLOBAL CLOUD-RESOLVING SIMULATION Hiroyuki Yamada1, Tomoe Nasuno1, Wataru Yanase2, Ryuichi Shirooka1, and Masaki Satoh2,1 1Japan Agency for Marine-Earth Science and Technology, Yokosuka, Japan 2Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, Japan 1. INTRODUCTION One of the greatest remaining challenges in the study of tropical cyclone is to understand and predict their formation from weak cyclonic disturbances. In the western tropical Pacific, although many previous studies pointed out the participation of large- and synoptic-scale cyclonic disturbances in tropical cyclogenesis (e.g., Sobel and Bretherton 1999; Dickinson and Molinari 2002; Fu et al. 2007), little is known about mechanisms governing their transformation into a deep warm-core vortex. In considerable part, the Figure 1. (a) The observed and simulated tracks of Typhoon Fengshen. The 150-km and 300-km lack of understanding in this area stems from a ranges of Doppler radars are shown by orange lack of observation over the ocean. Moreover, circles. Axes of the rotated Cartesian (XR-YR) insufficient computer resource that limits horizontal coordinates are drawn by green arrows. (b) Time domain of numerical models prevents performing series of the minimum pressure at surface. (c) A a cloud-resolving simulation of multiscale time-height plot of the potential vorticity, averaged processes ranging from convective to large scale. within 100-km radius from the surface vortex center. To overcome these problems, we carried out a The period in which the incipient surface vortex field experiment with two Doppler radars in the transformed into a deep typhoon vortex (i.e., 0300— Pacific warm pool, and applied a state-of-the-art 1200 UTC 18 June) is highlighted. -
Third Assessment on Impacts of Climate Change on Tropical Cyclones in the Typhoon Committee Region E Part I: Observed Changes, Detection and Attribution
Available online at www.sciencedirect.com ScienceDirect Tropical Cyclone Research and Review 9 (2020) 1e22 www.keaipublishing.com/tcrr Third assessment on impacts of climate change on tropical cyclones in the Typhoon Committee Region e Part I: Observed changes, detection and attribution Tsz-Cheung Lee a,*, Thomas R. Knutson b, Toshiyuki Nakaegawa c, Ming Ying d, Eun Jeong Cha e a Hong Kong Observatory, Hong Kong, China b Geophysical Fluid Dynamics Laboratory/NOAA, Princeton, NJ, USA c Meteorological Research Institute/Japan Meteorological Agency, Tsukuba, Japan d Shanghai Typhoon Institute, China Meteorological Administration, Shanghai, China e National Typhoon Center, Korea Meteorological Administration, Jeju, Republic of Korea Available online 20 March 2020 Abstract Published findings on climate change impacts on tropical cyclones (TCs) in the ESCAP/WMO Typhoon Committee Region are assessed. We focus on observed TC changes in the western North Pacific (WNP) basin, including frequency, intensity, precipitation, track pattern, and storm surge. Results from an updated survey of impacts of past TC activity on various Members of the Typhoon Committee are also reported. Existing TC datasets continue to show substantial interdecadal variations in basin-wide TC frequency and intensity in the WNP. There has been encouraging progress in improving the consensus between different datasets concerning intensity trends. A statistically significant northwest- ward shift in WNP TC tracks since the 1980s has been documented. There is low-to-medium confidence in a detectable poleward shift since the 1940s in the average latitude where TCs reach their peak intensity in the WNP. A worsening of storm inundation levels is believed to be occurring due to sea level rise-due in part to anthropogenic influence-assuming all other factors equal. -
Quarterly Climate Impacts and Outlook Valid March 2020
Hawaii and U.S. Quarterly Climate Impacts and Outlook Affiliated Pacific Islands Quarterly outlook page 1 March 2020 Significant Events – For December 2019 – February 2020 Coastal flooding and erosion on Oahu Abnormally dry in CNMI and Guam Moderate to severe drought across the RMI Abnormally dry across the FSM Heavy rain and strong winds from nearby tropical cyclones. Shading indicates each Island’s Exclusive Economic Zone (EEZ). Highlights for Hawaii and the U.S. Affiliated Pacific Islands • Abnormally dry to drought conditions persist across much of Guam, the CNMI, the Federated States of Micronesia and the Republic of the Marshall Islands. • Coastal flooding and erosion occurred on Oahu in December and January due to a combination of exceptionally high tides and high waves. • Over Presidents' Day weekend American Samoa experienced torrential rain and gale force winds, resulting in power outages, landslides, and the closure of roads, airports, and schools. • The all-time highest hourly water level recorded by NOAA's Honolulu Harbor tide gauge on December 25, 2019. The high tide occurred very early in the morning. • At the end of December Typhoon Phanfone formed in Micronesia and moved across in the western north Pacific. John Marra ([email protected]) Michael Kruk ([email protected]) http://apdrc.soest.hawaii.edu/Hawaii_USAPI_Climate_Summary/dashboard Climate Overview – For December 2019 – February 2020 Climate overview section Feb 27, 2020 USAPI Drought Monitor Source https://droughtmonitor.unl.edu/CurrentMap/StateDroughtMonitor.aspx?usapi February rainfall in the Marianas totaled less than 2 inches on some northern locations, including Tinian (1.90 inches, or 58% of normal) and Saipan Airport (1.77 inches, or 68% l). -
Report on UN ESCAP / WMO Typhoon Committee Members Disaster Management System
Report on UN ESCAP / WMO Typhoon Committee Members Disaster Management System UNITED NATIONS Economic and Social Commission for Asia and the Pacific January 2009 Disaster Management ˆ ` 2009.1.29 4:39 PM ˘ ` 1 ¿ ‚fiˆ •´ lp125 1200DPI 133LPI Report on UN ESCAP/WMO Typhoon Committee Members Disaster Management System By National Institute for Disaster Prevention (NIDP) January 2009, 154 pages Author : Dr. Waonho Yi Dr. Tae Sung Cheong Mr. Kyeonghyeok Jin Ms. Genevieve C. Miller Disaster Management ˆ ` 2009.1.29 4:39 PM ˘ ` 2 ¿ ‚fiˆ •´ lp125 1200DPI 133LPI WMO/TD-No. 1476 World Meteorological Organization, 2009 ISBN 978-89-90564-89-4 93530 The right of publication in print, electronic and any other form and in any language is reserved by WMO. Short extracts from WMO publications may be reproduced without authorization, provided that the complete source is clearly indicated. Editorial correspon- dence and requests to publish, reproduce or translate this publication in part or in whole should be addressed to: Chairperson, Publications Board World Meteorological Organization (WMO) 7 bis, avenue de la Paix Tel.: +41 (0) 22 730 84 03 P.O. Box No. 2300 Fax: +41 (0) 22 730 80 40 CH-1211 Geneva 2, Switzerland E-mail: [email protected] NOTE The designations employed in WMO publications and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of the Secretariat of WMO concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. -
Minnesota Weathertalk Newsletter for Friday, January 3, 2014
Minnesota WeatherTalk Newsletter for Friday, January 3, 2014 To: MPR's Morning Edition From: Mark Seeley, Univ. of Minnesota, Dept of Soil, Water, and Climate Subject: Minnesota WeatherTalk Newsletter for Friday, January 3, 2014 HEADLINES -December 2013 was climate near historic for northern communities -Cold start to 2014 -Weekly Weather potpourri -MPR listener questions -Almanac for January 3rd -Past weather -Outlook Topic: December 2013 near historic for far north In assessing the climate for December 2013 it should be said that from the standpoint of cold temperatures the month was quite historic for many northern Minnesota communities, especially due to the Arctic cold that prevailed over the last few days of the month. Minnesota reported the coldest temperature in the 48 contiguous states thirteen times during the month, the highest frequency among all 48 states. Many northern observers saw overnight temperatures drop below -30 degrees F on several occasions. The mean monthly temperature for December from several communities ranked among the coldest Decembers ever. A sample listing includes: -4.1 F at International Falls, 2nd coldest all-time 4.6 F at Duluth, 8th coldest all-time 0.1 F at Crookston, 3rd coldest all-time -3.1 F at Roseau, 3rd coldest all-time 0.3 F at Park Rapids, 3rd coldest all-time -4.4 F at Embarrass, 2nd coldest all-time -4.1 F at Baudette, coldest all-time -3.7 F at Warroad, coldest all-time -2.9 F at Babbitt, coldest all-time -2.8 F at Gunflint Lake, coldest all-time In addition, some communities reported an exceptionally snowy month of December. -
REVIEW the Extratropical Transition of Tropical Cyclones. Part I
VOLUME 145 MONTHLY WEATHER REVIEW NOVEMBER 2017 REVIEW The Extratropical Transition of Tropical Cyclones. Part I: Cyclone Evolution and Direct Impacts a b c d CLARK EVANS, KIMBERLY M. WOOD, SIM D. ABERSON, HEATHER M. ARCHAMBAULT, e f f g SHAWN M. MILRAD, LANCE F. BOSART, KRISTEN L. CORBOSIERO, CHRISTOPHER A. DAVIS, h i j k JOÃO R. DIAS PINTO, JAMES DOYLE, CHRIS FOGARTY, THOMAS J. GALARNEAU JR., l m n o p CHRISTIAN M. GRAMS, KYLE S. GRIFFIN, JOHN GYAKUM, ROBERT E. HART, NAOKO KITABATAKE, q r s t HILKE S. LENTINK, RON MCTAGGART-COWAN, WILLIAM PERRIE, JULIAN F. D. QUINTING, i u v s w CAROLYN A. REYNOLDS, MICHAEL RIEMER, ELIZABETH A. RITCHIE, YUJUAN SUN, AND FUQING ZHANG a University of Wisconsin–Milwaukee, Milwaukee, Wisconsin b Mississippi State University, Mississippi State, Mississippi c NOAA/Atlantic Oceanographic and Meteorological Laboratory/Hurricane Research Division, Miami, Florida d NOAA/Climate Program Office, Silver Spring, Maryland e Embry-Riddle Aeronautical University, Daytona Beach, Florida f University at Albany, State University of New York, Albany, New York g National Center for Atmospheric Research, Boulder, Colorado h University of São Paulo, São Paulo, Brazil i Naval Research Laboratory, Monterey, California j Canadian Hurricane Center, Dartmouth, Nova Scotia, Canada k The University of Arizona, Tucson, Arizona l Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland m RiskPulse, Madison, Wisconsin n McGill University, Montreal, Quebec, Canada o Florida State University, Tallahassee, Florida p