Wmo Statement on the Status of the Global Climate in 2003
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Cooperation Between Fukushima Prefecture and the IAEA
Radiation Monitoring and Remediation Following the Fukushima Daiichi Nuclear Power Plant Accident Cooperation between Fukushima Prefecture and the IAEA INTERIM REPORT (2013 to 2020) 【Fukushima Prefecture Initiative Projects】 【Detailed version】 (Temporary translation) March 2021 Fukushima Prefecture Index Introduction 1 1. FIP1 Survey, and evaluation of the effect, of radiocaesium dynamics in the aquatic systems based on the continuous monitoring 1.1. Abstract 5 1.2. Purpose 5 1.3. Content of implementation 6 1.4. Results 8 1.5. Conclusions 15 2. FIP2 Survey of radionuclide movement with wildlife 2.1. Abstract 17 2.2. Purpose 17 2.3. Content of implementation 18 2.4. Results 19 2.5. Conclusions 26 3. FIP3 Sustainable countermeasures to radioactive materials in fresh wat er system 3.1. Abstract 27 3.2. Purpose 27 3.3. Content of implementation 27 3.4. Results 31 3.5. Conclusions 35 4. FIP4 Development of environmental mapping technology using GPS walking surveys( Ended in FY2015) 4.1. Abstract 37 4.2. Purpose 37 4.3. Content of implementation 39 4.4. Results 41 4.5. Conclusions 48 5. FIP5 Study of proper treatment of waste containing radioactive material 5.1. Abstract 49 5.2. Purpose 49 5.3. Content of implementation 51 5.4. Results 55 5.5. Conclusions 69 Report summary 70 Introduction The Great East Japan Earthquake occurred on 11 March 2011. It was followed by the accident of Tokyo Electric Power Company's Fukushima Daiichi Nuclear Power Plant1 , and radioactive materials have been released into the environment which contaminated the land. Due to the contamination of the land and other relevant reasons, more than 160,000 prefectural residents were forced to evacuate. -
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. -
Annual Progress Report July 1, 2003 – June 30, 2004 Cooperative Institute for Climate Science at Princeton University
Annual Progress Report July 1, 2003 – June 30, 2004 Cooperative Institute for Climate Science at Princeton University CICS Jorge L. Sarmiento, Professor of Geosciences and Director Cooperative Institute for Climate Science Princeton University Forrestal Campus 300 Forrestal Road, Box CN 710 Princeton, New Jersey 08544-0710 Table of Contents Introduction 1 Research Themes Overview 2-4 Structure of the Joint Institute 5-6 Research Highlights Earth System Studies 7-10 Land Dynamics Ocean Dynamics Chemistry-Radiation-Climate Interactions Large-scale Atmospheric Dynamics Clouds and Convection Biogeochemistry 10-13 Ocean Biogeochemistry Land Processes Atmospheric Chemistry Earth System Model Coastal Processes 13 Paleoclimate 13-15 NOAA Funding Table 16 Project Reports 17-155 Publications 156-158 CICS Fellows 159 Personnel Information 160-163 CICS Projects 164-165 Cooperative Institute for Climate Science Princeton University Annual Report of Research Progress under Cooperative Agreement NA17RJ2612 During July 1, 2003 – June 30, 2004 Jorge L. Sarmiento, Director Introduction The Cooperative Institute for Climate Sciences (CICS) was founded in 2003 to foster research collaboration between Princeton University and the Geophysical Fluid Dynamics Laboratory (GFDL) of the National Oceanographic and Atmospheric Administration (NOAA). Its vision is to be a world leader in understanding and predicting climate and the co- evolution of society and the environment – integrating physical, chemical, biological, technological, economical, social, and ethical dimensions, and in educating the next generations to deal with the increasing complexity of these issues. CICS is built upon the strengths of Princeton University in biogeochemistry, physical oceanography, paleoclimate, hydrology, ecosystem ecology, climate change mitigation technology, economics, and policy; and GFDL in modeling the atmosphere, oceans, weather and climate. -
Field Investigations of Coastal Sea Surface Temperature Drop
1 Field Investigations of Coastal Sea Surface Temperature Drop 2 after Typhoon Passages 3 Dong-Jiing Doong [1]* Jen-Ping Peng [2] Alexander V. Babanin [3] 4 [1] Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan, 5 Taiwan 6 [2] Leibniz Institute for Baltic Sea Research Warnemuende (IOW), Rostock, Germany 7 [3] Department of Infrastructure Engineering, Melbourne School of Engineering, University of 8 Melbourne, Australia 9 ---- 10 *Corresponding author: 11 Dong-Jiing Doong 12 Email: [email protected] 13 Tel: +886 6 2757575 ext 63253 14 Add: 1, University Rd., Tainan 70101, Taiwan 15 Department of Hydraulic and Ocean Engineering, National Cheng Kung University 16 -1- 1 Abstract 2 Sea surface temperature (SST) variability affects marine ecosystems, fisheries, ocean primary 3 productivity, and human activities and is the primary influence on typhoon intensity. SST drops 4 of a few degrees in the open ocean after typhoon passages have been widely documented; 5 however, few studies have focused on coastal SST variability. The purpose of this study is to 6 determine typhoon-induced SST drops in the near-coastal area (within 1 km of the coast) and 7 understand the possible mechanism. The results of this study were based on extensive field data 8 analysis. Significant SST drop phenomena were observed at the Longdong buoy in northeastern 9 Taiwan during 43 typhoons over the past 20 years (1998~2017). The mean SST drop (∆SST) 10 after a typhoon passage was 6.1 °C, and the maximum drop was 12.5 °C (Typhoon Fungwong 11 in 2008). -
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. -
Situation Update 1
SITUATION UPDATE 1 1. HIGHLIGHTS a. The combination of weather systems (Tropical Storms LINFA and NANGKA, and the Inter Tropical Convergence Zone combined with cold air) affected the Lower Mekong Region. This resulted in widespread flooding and landslides in multiple provinces of Cambodia, Lao PDR, and Viet Nam. b. Severe Tropical Storm SAUDEL is forecasted to hit Central Viet Nam on 25 October 2020. This will be the third tropical cyclone to impact the central provinces within three consecutive weeks. c. The floods, landslides, storms, and winds in Central Viet Nam affected an estimated 801K people, 160K houses, 112.8K hectares of land damaged or destroyed, 42 commune health stations (Quang Tri: 32; Quang Ngai: 5; Quang Nam: 4; and one regional clinic), 362 educational institutions, 14.7 km of roads, and the loss of 462K livestock (cattle and poultry). About 26.3 km of coastal landslide was also reported. Casualties were also reported (111 dead and 22 missing*). *highest number reported as of 21 October 2020 source: VNDMA d. The Government of Viet Nam identified several humanitarian needs: 6,500 tons of rice**, 5.5 tons of dried food, 20,000 boxes of instant noodles, medicines, disinfectants, and search and rescue equipment. **the Government of Viet Nam will shoulder rice provision e. The UN Resident Coordinator in Viet Nam provided a report summarising sectoral needs for Education, Food Security, Health & Nutrition, Protection & Gener, Shelter, and Water, Sanitation and Hygiene. f. Viet Nam Disaster Management Authority (VNDMA) has organised response missions to the affected provinces. It has also maintained close coordination with its partners. -
Development of GMDH-Based Storm Surge Forecast Models for Sakaiminato, Tottori, Japan
Journal of Marine Science and Engineering Article Development of GMDH-Based Storm Surge Forecast Models for Sakaiminato, Tottori, Japan Sooyoul Kim 1 , Hajime Mase 2,3,4,5, Nguyen Ba Thuy 6,* , Masahide Takeda 7, Cao Truong Tran 8 and Vu Hai Dang 9 1 Center for Water Cycle Marine Environment and Disaster Management, Kumamoto University, 2-39-1, Kurokami, Chuo-ku, Kumamoto 860-8555, Japan; [email protected] 2 Professor Emeritus, Kyoto University, Kyoto 611-0011, Japan; [email protected] 3 Toa Corporation, Tokyo 163-1031, Japan 4 Hydro Technology Inst., Co., Ltd., Osaka 530-6126, Japan 5 Nikken Kogaku Co., Ltd., Tokyo 160-0023, Japan 6 Vietnam National Hydrometerological Forecasting Center Hanoi, No 8, Phao Dai Lang, Dong Da, Hanoi, Vietnam 7 Research and Development Center, Toa Corporation, Kanagawa 230-0035, Japan; [email protected] 8 Le Quy Don Technical University, 236 Hoang Quoc Viet St, Hanoi, Vietnam; [email protected] 9 Institute of Marine Geology and Geophysics, VAST, 18 Hoang Quoc Viet St, Hanoi, Vietnam; [email protected] * Correspondence: [email protected] Received: 31 July 2020; Accepted: 4 October 2020; Published: 14 October 2020 Abstract: The current study developed storm surge hindcast/forecast models with lead times of 5, 12, and 24 h at the Sakaiminato port, Tottori, Japan, using the group method of data handling (GMDH) algorithm. For training, local meteorological and hydrodynamic data observed in Sakaiminato during Typhoons Maemi (2003), Songda (2004), and Megi (2004) were collected at six stations. In the forecast experiments, the two typhoons, Maemi and Megi, as well as the typhoon Songda, were used for training and testing, respectively. -
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. -
Science Discussion Started: 22 October 2018 C Author(S) 2018
Discussions Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-127 Earth System Manuscript under review for journal Earth Syst. Sci. Data Science Discussion started: 22 October 2018 c Author(s) 2018. CC BY 4.0 License. Open Access Open Data 1 Field Investigations of Coastal Sea Surface Temperature Drop 2 after Typhoon Passages 3 Dong-Jiing Doong [1]* Jen-Ping Peng [2] Alexander V. Babanin [3] 4 [1] Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan, 5 Taiwan 6 [2] Leibniz Institute for Baltic Sea Research Warnemuende (IOW), Rostock, Germany 7 [3] Department of Infrastructure Engineering, Melbourne School of Engineering, University of 8 Melbourne, Australia 9 ---- 10 *Corresponding author: 11 Dong-Jiing Doong 12 Email: [email protected] 13 Tel: +886 6 2757575 ext 63253 14 Add: 1, University Rd., Tainan 70101, Taiwan 15 Department of Hydraulic and Ocean Engineering, National Cheng Kung University 16 -1 Discussions Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-127 Earth System Manuscript under review for journal Earth Syst. Sci. Data Science Discussion started: 22 October 2018 c Author(s) 2018. CC BY 4.0 License. Open Access Open Data 1 Abstract 2 Sea surface temperature (SST) variability affects marine ecosystems, fisheries, ocean primary 3 productivity, and human activities and is the primary influence on typhoon intensity. SST drops 4 of a few degrees in the open ocean after typhoon passages have been widely documented; 5 however, few studies have focused on coastal SST variability. The purpose of this study is to 6 determine typhoon-induced SST drops in the near-coastal area (within 1 km of the coast) and 7 understand the possible mechanism. -
Quantification of Typhoon-Induced Phytoplankton Blooms Using
remote sensing Article Quantification of Typhoon-Induced Phytoplankton Blooms Using Satellite Multi-Sensor Data Jiayi Pan 1,2,3,* ID , Lei Huang 2, Adam T. Devlin 2 and Hui Lin 2 1 School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China 2 Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China; [email protected] (L.H.); [email protected] (A.T.D.); [email protected] (H.L.) 3 Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China * Correspondence: [email protected]; Tel.: +852-3943-1308 Received: 19 December 2017; Accepted: 16 February 2018; Published: 20 February 2018 Abstract: Using satellite-based multi-sensor observations, this study investigates Chl-a blooms induced by typhoons in the Northwest Pacific (NWP) and the South China Sea (SCS), and quantifies the blooms via wind-induced mixing and Ekman pumping parameters, as well as pre-typhoon mixed-layer depth (MLD). In the NWP, the Chl-a bloom is more correlated with the Ekman pumping than with the other two parameters, with an R2 value of 0.56. In the SCS, the wind-induced mixing and Ekman pumping have comparable correlations with the Chl-a increase, showing R2 values of 0.4~0.6. However, the MLD exhibits a negative correlation with the Chl-a increase. A multi-parameter quantification model of the Chl-a bloom strength achieves better results than the single-parameter regressions, yielding a more significant R2 value of 0.80, and a lower regression rms of 0.18 mg·m−3 in the SCS, and the R2 value in the NWP is also improved compared with the single-parameter regressions. -
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. -
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).