State of the Climate in 2015
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Efforts for Emergency Observation Mapping in Manila Observatory
Efforts for Emergency Observation Mapping in Manila Observatory: Development of a Typhoon Impact Estimation System (TIES) focusing on Economic Flood Loss of Urban Poor Communities in Metro Manila UN-SPIDER International Conference on Space-based Technologies for Disaster Risk Reduction – “Enhancing Disaster Preparedness for Effective Emergency Response” Session 4: Demonstrating Advances in Earth Observation to Build Back Better September 25, 2018 Ma. Flordeliza P. Del Castillo Manila Observatory EMERGENCY OBSERVATION MAPPING IN MANILA OBSERVATORY • Typhoon Reports • Sentinel Asia Data Analysis Node (2011-present) • Flood loss estimation for urban poor households in Metro Manila (2016-present) 1. Regional Climate Systems (RCS) – Hazard analysis (Rainfall and typhoon forecast) 2. Instrumentation and Efforts before typhoon arrives Technology Development – Automated Weather Stations 3. Geomatics for Environment and Development – Mapping and integration of Hazard, Exposure and Vulnerability layers Observing from space and also from the ground. Efforts during typhoon event Now, incorporating exposure and vulnerability variables Efforts after a typhoon event Data Analysis Node (Post- Disaster Event) Image Source: Secretariat of Sentinel Asia Japan Aerospace Exploration Agency, Sentinel Asia Annual Report 2016 MO Emergency Observation (EO) and Mapping Protocol (15 October 2018) Step 1: Step 2: Step 3: Establish the Apply for EMERGENCY Elevate status to LOCATION/COVERAGE of OBSERVATION to International Disaster EOR Sentinel Asia (SA) Charter (IDC) by ADRC Step 6: Step 5: Step 4: Upload maps in MO, SA MAP Download images & IDC websites PRODUCTION Emergency Observation Mapping Work • December 2011 – T.S. Washi “Sendong” • August 2012 – Southwest Monsoon Flood “Habagat” • ” Emergency Observation Mapping Work • December 2011 – T.S. Washi “Sendong” • August 2012 – Southwest Monsoon Flood “Habagat” • December 2012 – Bopha “Pablo” • August 2013 – Southwest Monsoon Flood and T.S. -
6 2. Annual Summaries of the Climate System in 2009 2.1 Climate In
2. Annual summaries of the climate system in above normal in Okinawa/Amami because hot and 2009 sunny weather was dominant under the subtropical high in July and August. 2.1 Climate in Japan (d) Autumn (September – November 2009, Fig. 2.1.1 Average surface temperature, precipitation 2.1.4d) amounts and sunshine durations Seasonal mean temperatures were near normal in The annual anomaly of the average surface northern and Eastern Japan, although temperatures temperature over Japan (averaged over 17 observatories swung widely. In Okinawa/Amami, seasonal mean confirmed as being relatively unaffected by temperatures were significantly above normal due to urbanization) in 2009 was 0.56°C above normal (based the hot weather in the first half of autumn. Monthly on the 1971 – 2000 average), and was the seventh precipitation amounts were significantly below normal highest since 1898. On a longer time scale, average nationwide in September due to dominant anticyclones. surface temperatures have been rising at a rate of about In contrast, in November, they were significantly 1.13°C per century since 1898 (Fig. 2.1.1). above normal in Western Japan under the influence of the frequent passage of cyclones and fronts around 2.1.2 Seasonal features Japan. In October, Typhoon Melor (0918) made (a) Winter (December 2008 – February 2009, Fig. landfall on mainland Japan, bringing heavy rainfall and 2.1.4a) strong winds. Since the winter monsoon was much weaker than (e) December 2009 usual, seasonal mean temperatures were above normal In the first half of December, temperatures were nationwide. In particular, they were significantly high above normal nationwide, and heavy precipitation was in Northern Japan, Eastern Japan and Okinawa/Amami. -
Global Catastrophe Review – 2015
GC BRIEFING An Update from GC Analytics© March 2016 GLOBAL CATASTROPHE REVIEW – 2015 The year 2015 was a quiet one in terms of global significant insured losses, which totaled around USD 30.5 billion. Insured losses were below the 10-year and 5-year moving averages of around USD 49.7 billion and USD 62.6 billion, respectively (see Figures 1 and 2). Last year marked the lowest total insured catastrophe losses since 2009 and well below the USD 126 billion seen in 2011. 1 The most impactful event of 2015 was the Port of Tianjin, China explosions in August, rendering estimated insured losses between USD 1.6 and USD 3.3 billion, according to the Guy Carpenter report following the event, with a December estimate from Swiss Re of at least USD 2 billion. The series of winter storms and record cold of the eastern United States resulted in an estimated USD 2.1 billion of insured losses, whereas in Europe, storms Desmond, Eva and Frank in December 2015 are expected to render losses exceeding USD 1.6 billion. Other impactful events were the damaging wildfires in the western United States, severe flood events in the Southern Plains and Carolinas and Typhoon Goni affecting Japan, the Philippines and the Korea Peninsula, all with estimated insured losses exceeding USD 1 billion. The year 2015 marked one of the strongest El Niño periods on record, characterized by warm waters in the east Pacific tropics. This was associated with record-setting tropical cyclone activity in the North Pacific basin, but relative quiet in the North Atlantic. -
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. -
Tropical Cyclones Avoidance in Ocean Navigation – Safety of Navigation and Some Economical Aspects
the International Journal Volume 12 on Marine Navigation Number 1 http://www.transnav.eu and Safety of Sea Transportation March 2018 DOI: 10.12716/1001.12.01.06 Tropical Cyclones Avoidance in Ocean Navigation – Safety of Navigation and Some Economical Aspects M. Szymański & B. Wiśniewski Maritime University of Szczecin, Szczecin, Poland ABSTRACT: Based upon the true voyages various methods of avoidance maneuver determination in ship – cyclone encounter situations were presented. The goal was to find the economically optimal solution (minimum fuel consumption, maintaining the voyage schedule) while at the same time not to exceed an acceptable weather risk level. 1 INTRODUCTION 1 Opposite courses – courses of the ship and the cyclone differ by 150° to 210°. Tropical cyclone avoidance in shipping by merchant 2 Crossing situation– courses of the ship and the ships is a constant element of both ocean and coastal cyclone cross at an angle of 30° ‐ 90°. navigation. It has a significant influence upon the 3 Overtaking of the cyclone by the ship. economical and safety aspects of the voyage.The key In each of them a certain type of action (course decision in tropical cyclone avoidance is the alteration, slowing down or speeding up) is regarded determining of the moment of the beginning of as the most effective one. avoidance manoeuvre and the determining of the correct course and speed with maintaining the Determination of the avoidance maneuver in commercial and economic viability of the voyage. coastal and restricted waters is a separate issue.Within the area of the tropical storm the wind is By commercial and economic viability of the very violent and the seas are high and confused. -
State of the Climate in 2015
STATE OF THE CLIMATE IN 2015 Special Supplement to the Bulletin of the American Meteorological Society Vol. 97, No. 8, August 2016 severed during the storm, and four days after the Islands, on 28 June. Over the next couple of days, the storm nearly 60% of the nation’s inhabited islands system moved westward into the Australian region, remained cut off from the outside world. According where it was named a TC. Raquel then moved east- to UNESCO, 268 million U.S. dollars was required for ward into the South Pacific basin, where it weakened total recovery and rehabilitation of Vanuatu. into a tropical depression. On 4 July, the system The storm’s winds gradually slowed afterwards as moved south-westward and impacted the Solomon Pam tracked west of the Tafea Islands. However, the Islands with high wind gusts and heavy rain. Fiji Meteorological Service indicated that the TC’s pressure dropped farther to 896 hPa on 14 March. f. Tropical cyclone heat potential—G. J. Goni, J. A. Knaff, As Pam travelled farther south, the storm’s eye faded and I.-I. Lin away and Pam’s low-level circulation became dis- This section summarizes the previously described placed from its associated thunderstorms, indicating tropical cyclone (TC) basins from the standpoint of a rapid weakening phase. Later on 15 March, Pam en- tropical cyclone heat potential (TCHP) by focusing on tered a phase of extratropical transition and affected vertically integrated upper ocean temperature condi- northeast New Zealand and the Chatham Islands tions during the season for each basin with respect to with high winds, heavy rain, and rough seas. -
Flood Hazard Mapping in an Urban Area Using Combined Hydrologic-Hydraulic Models and Geospatial Technologies
Global J. Environ. Sci. Manage. 5(2): 139-154, Spring 2019 Global Journal of Environmental Science and Management (GJESM) Homepage: https://www.gjesm.net/ ORIGINAL RESEARCH PAPER Flood hazard mapping in an urban area using combined hydrologic-hydraulic models and geospatial technologies B.A.M.Talisay*, G.R. Puno, R.A.L. Amper GeoSAFER Northern Mindanao/ Cotabato Project, College of Forestry and Environmental Science, Central Mindanao University, Musuan, Maramag, Bukidnon, Philippines ARTICLE INFO ABSTRACT Flooding is one of the most occurring natural hazards every year risking the lives and Article History: Received 12 August 2018 properties of the affected communities, especially in Philippine context. To visualize Revised 12 November 2018 the extent and mitigate the impacts of flood hazard in Malingon River in Valencia Accepted 30 November 2018 City, Bukidnon, this paper presents the combination of Geographic Information System, high-resolution Digital Elevation Model, land cover, soil, observed hydro-meteorological data; and the combined Hydrologic Engineering Center- Keywords: Hydrologic Modeling System and River Analysis System models. The hydrologic Geographic information system (GIS) model determines the precipitation-runoff relationships of the watershed and the Inundation hydraulic model calculates the flood depth and flow pattern in the floodplain area. Light detection and ranging The overall performance of hydrologic model during calibration was “very good fit” Model calibration based on the criterion of Nash-Sutcliffe Coefficient of Model Efficiency, Percentage Bias and Root Mean Square Error – Observations Standard Deviation Ratio with the values of 0.87, -8.62 and 0.46, respectively. On the other hand, the performance of hydraulic model during error computation was “intermediate fit” using F measure analysis with a value of 0.56, using confusion matrix with 80.5% accuracy and the Root Mean Square Error of 0.47 meters. -
Fast Storm Surge Ensemble Prediction Using Searching Optimization of a Numerical Scenario Database
OCTOBER 2021 X I E E T A L . 1629 Fast Storm Surge Ensemble Prediction Using Searching Optimization of a Numerical Scenario Database a,b,c a,b,c a a a,b,c a,b,c YANSHUANG XIE, SHAOPING SHANG, JINQUAN CHEN, FENG ZHANG, ZHIGAN HE, GUOMEI WEI, a,b,c d d JINGYU WU, BENLU ZHU, AND YINDONG ZENG a College of Ocean and Earth Sciences, Xiamen University, Xiamen, China b Research and Development Center for Ocean Observation Technologies, Xiamen University, Xiamen, China c Laboratory of Underwater Acoustic Communication and Marine Information Technology, Ministry of Education, Xiamen University, Xiamen, China d Fujian Marine Forecasts, Fuzhou, China (Manuscript received 6 December 2020, in final form 10 June 2021) ABSTRACT: Accurate storm surge forecasts provided rapidly could support timely decision-making with consideration of tropical cyclone (TC) forecasting error. This study developed a fast storm surge ensemble prediction method based on TC track probability forecasting and searching optimization of a numerical scenario database (SONSD). In a case study of the Fujian Province coast (China), a storm surge scenario database was established using numerical simulations generated by 93 150 hypothetical TCs. In a GIS-based visualization system, a single surge forecast representing 2562 distinct typhoon tracks and the occurrence probability of overflow of seawalls along the coast could be achieved in 1–2 min. Application to the cases of Typhoon Soudelor (2015) and Typhoon Maria (2018) demonstrated that the proposed method is feasible and effective. Storm surge calculated by SONSD had excellent agreement with numerical model results (i.e., mean MAE and RMSE: 7.1 and 10.7 cm, respectively, correlation coefficient: .0.9). -
University of Auckland Research Repository, Researchspace
Libraries and Learning Services University of Auckland Research Repository, ResearchSpace Copyright Statement The digital copy of this thesis is protected by the Copyright Act 1994 (New Zealand). This thesis may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use: • Any use you make of these documents or images must be for research or private study purposes only, and you may not make them available to any other person. • Authors control the copyright of their thesis. You will recognize the author's right to be identified as the author of this thesis, and due acknowledgement will be made to the author where appropriate. • You will obtain the author's permission before publishing any material from their thesis. General copyright and disclaimer In addition to the above conditions, authors give their consent for the digital copy of their work to be used subject to the conditions specified on the Library Thesis Consent Form and Deposit Licence. Community Participation and NGO Responses to the April 2014 Floods in Solomon Islands Carl Adams A thesis submitted in complete fulfillment of the requirements for the degree of Master of Arts in Development Studies, The University of Auckland, 2016. P a g e | I Abstract Floods are the most common form of natural disasters globally, disproportionately impacting lower income countries and in many cases the poorest citizens therein. The increasing frequency and intensity of floods present civil society, policymakers, and development practitioners the challenge of reducing disaster risk, and populations’ vulnerability to extreme weather events. This thesis explores the roles of affected communities in Non-Governmental Organisation (NGO) responses to disaster in Solomon Islands, based on the experience of the 2014 flash floods. -
Annual Disaster Statistical Review 2016: the Numbers and Trends
Centre for Research on the Epidemiology of Disasters (CRED) Annual Disaster Statistical Review 2016 The numbers and trends Debarati Guha-Sapir, Philippe Hoyois Pascaline Wallemacq and Regina Below Annual Disaster Statistical Review 2016 The numbers and trends Debarati Guha-Sapir Philippe Hoyois Pasacline Wallemacq and Regina Below Centre for Research on the Epidemiology of Disasters (CRED) Institute of Health and Society (IRSS) Université catholique de Louvain – Brussels, Belgium Acknowledgements The data upon which this report is based on, is maintained through the long-term support of the US Agency for International Development’s Office of Foreign Disaster Assistance (USAID/OFDA). We are grateful to Alexandria Williams for proofreading. We encourage the free use of the contents of this report with appropriate and full citation: “Guha-Sapir D, Hoyois Ph., Below. R. Annual Disaster Statistical Review 2016: The Numbers and Trends. Brussels: CRED; 2016.” This document is available on http://www.cred.be/sites/default/files/ADSR_2016.pdf October 2017 ii Annual Disaster Statistical Review 2016 – The numbers and trends About CRED The Centre for Research on the Epidemiology of Disasters (CRED) has been active for more than 40 years in the fields of international disaster and conflict health studies. CRED promotes research, training and technical expertise on humanitarian emergencies - with a particular focus on relief, rehabilitation and development. It was established in Brussels in 1973 at the School of Public Health of the Catholic University of Louvain (UCL) as a non-profit institution with international status under Belgian law. In 1980, CRED became a World Health Organization (WHO) collaborating centre as part of the WHO’s Global Program for Emergency Preparedness and Response. -
Hungry for Justice, Thirsty for Change CARITAS STATE of the ENVIRONMENT REPORT for OCEANIA 2016 Taveuni, Fiji
Hungry for justice, thirsty for change CARITAS STATE OF THE ENVIRONMENT REPORT FOR OCEANIA 2016 Wani Filipe ties climbing beans at Tutu Rural Training Centre, Taveuni, Fiji. CARITAS Hungry for justice, thirsty for change CARITAS STATE OF THE ENVIRONMENT REPORT FOR OCEANIA 2016 Monū’ia ā ka ko kinautolu ‘oku fie kaia mo fie inua ki he mā’oni’oní, he ’e faka makona ‘a kinautolu. Ka hoa te hunga e hiakai ana, e hiainu ana ki te tika; ka mākona hoki rātou. Blessed are those who hunger and thirst for justice, for they will be satisfied. MATTHEW/MATIU 5:6 FEAST OF ST FRANCIS OF ASSISI 4 October 2016 Tutu ana te puehu Stirring up the dust Caritas Aotearoa New Zealand Caritas Tonga Caritas Australia PO Box 12193 Catholic Diocese of GPO Box 9830 Thorndon, Wellington 6144 Tonga and Niue Sydney, NSW 2001 Aotearoa New Zealand PO Box 1, Vaololoa Australia www.caritas.org.nz Nuku’alofa, Tonga www.caritas.org.au © Caritas Aotearoa New Zealand, Caritas Tonga and Caritas Australia Lead research and writing: Martin de Jong Writers and researchers: Amelia Ma’afu, Sarah Marland, Petra Wheatley Oversight and editing: Lisa Beech, Brendan Joyce Editing and proofing: Johanna Knox Design: Rose Miller Cover photo: Teriba of Nusabaruka, Gizo, Solomon Islands drinks water from a Caritas water project in response to the El Niño drought. The project had funding support from the New Zealand Aid Programme. Photo: Julianne Hickey. Staff assistance and photography: Crispin Anderlini, Cathy Bi, Dominic Boana, Nick Borthwick, Benjamin Breen, Nicole Clements, Sascha Costigan, Roger Ellis, Julianne Hickey, Stephanie Lalor, Mary Malagela, Mark Mitchell, Joe Moeono-Kolio, Patrice Moriarty, Paul O’Callaghan, Carl O’Sullivan, Anna Robertson-Bate, Murray Shearer, Joanna Viernes, Br Adrian Watson, Zachary Wone, Zhi Yan. -
A Forecasting Approach of Tropical Cyclone Genesis Based on Thresholds of Multi-Physical Parameters and Its Verification Using ECMWF Model Data
MAUSAM, 71, 4 (October 2020), 649-660 551.515.2 : 551.509.32 A forecasting approach of tropical cyclone genesis based on thresholds of multi-physical parameters and its verification using ECMWF model data WEN FENG#, *, LI ZHU**, WAIKIN WONG***, CHUNWING CHOY*** and JUNFENG MIAO# #College of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210 044, China *Hainan Meteorological Observatory, Haikou 510203, China **Taizhou Meteorological Observatory, Taizhou 225300, China ***Hong Kong Observatory, Hong Kong 99907, China (Received 31 January 2020, Accepted 15 September 2020) e mail : [email protected] सार — हालांिक काफी अययन ने सािबत िकया है िक उणकिटबंधीय चक्रवात (टीसी) के माग र् और तीता का पूवार्नमानु संख्यामक मौसम पूवार्नुमान (NWP) मॉडल से प्रा जानकारी पर बहुत अिधक िनभरर् करता है, कु छ शोध से पता चला है िक पिमी उरी प्रशांत महासागर (WNP) बेिसन म NWP मॉडल उणकिटबंधीय चक्रवात की उपि का िकतना अछा पूवार्नमानु लगाते ह। NWP मॉडल द्वारा WNP बेिसन म उणकिटबंधीय चक्रवात उपि पूवार्नमानु की िवशेषताओं को समझन े के िलए, यह अययन ऐितहािसक आंकड़ े का उपयोग करते हुए उणकिटबंधीय चक्रवात के बनने की पहचान हेतु मापदंड का एक सेट प्रा करता है तथा 2013 और 2015 के बीच ECMWF मॉडल आंकड़ े के आधार पर इसे सयािपत करता है - पिरणाम बताते ह िक प्रभाव सीमा मानदंड के आधार पर अपनाए गए प्रितशतता मूय का एगोिरदम के प्रदशनर् पर महवपूण र् प्रभाव पड़ता है। एक िविश अंतराल पर प्रभाव सीमा का उिचत समायोजन प्रभावी प से टीसी की उपि के पूवार्नुमान को बेहतर बना सकता है। उदाहरण के िलए, WNP बेिसन म पूवार्नमानु पिरणाम 850 hPa तर पर सापेिक्षक भ्रिमलता छोटे