The Influence of Late Summer Typhoons and High River Discharge
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Performance of Horizontal Drains
FACTUAL REPORT ON HONG KONG RAINFALL AND LANDSLIDES IN 2003 GEO REPORT No. 186 T.H.H. Hui & A.F.H. Ng GEOTECHNICAL ENGINEERING OFFICE CIVIL ENGINEERING AND DEVELOPMENT DEPARTMENT THE GOVERNMENT OF THE HONG KONG SPECIAL ADMINISTRATIVE REGION FACTUAL REPORT ON HONG KONG RAINFALL AND LANDSLIDES IN 2003 GEO REPORT No. 186 T.H.H. Hui & A.F.H. Ng This report was originally produced in April 2004 as GEO Special Project Report No. SPR 3/2004 - 2 - © The Government of the Hong Kong Special Administrative Region First published, September 2006 Prepared by: Geotechnical Engineering Office, Civil Engineering and Development Department, Civil Engineering and Development Building, 101 Princess Margaret Road, Homantin, Kowloon, Hong Kong. - 3 - PREFACE In keeping with our policy of releasing information which may be of general interest to the geotechnical profession and the public, we make available selected internal reports in a series of publications termed the GEO Report series. The GEO Reports can be downloaded from the website of the Civil Engineering and Development Department (http://www.cedd.gov.hk) on the Internet. Printed copies are also available for some GEO Reports. For printed copies, a charge is made to cover the cost of printing. The Geotechnical Engineering Office also produces documents specifically for publication. These include guidance documents and results of comprehensive reviews. These publications and the printed GEO Reports may be obtained from the Government’s Information Services Department. Information on how to purchase these documents is given on the last page of this report. R.K.S. Chan Head, Geotechnical Engineering Office September 2006 - 4 - FOREWORD This report presents a summary of the factual information on rainfall and landslides in Hong Kong throughout 2003. -
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. -
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. -
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. -
The Improvement of Trap by Considering Typhoon Intensity Variation
THE IMPROVEMENT OF TRAP BY CONSIDERING TYPHOON INTENSITY VARIATION Yu-Chun Chen*1, Gin-Rong Liu2, and Yen-Ju Chen3 1Graduate Student, Institute of Atmospheric Physics, National Central University, 300, Jhongda Rd., Jhongli, Taoyuan 32001, Taiwan; Tel: + 886-3-4227151#57665 Email: [email protected] 2Professor, Central for Space and Remote Sensing Research, and Institute of Atmospheric Physics, National Central University, 300, Jhongda Rd., Jhongli, Taoyuan 32001, Taiwan; Tel: + 886-3-4227151#57634 E-mail: [email protected] 3Graduate Student, Institute of Atmospheric Physics, National Central University, 300, Jhongda Rd., Jhongli, Taoyuan 32001, Taiwan; Tel: + 886-3-4227151#57634 Email: [email protected] KEY WORDS: Typhoon, TRaP, Typhoon Intensity, Typhoon Rainfall ABSTRACT: For years, the flash floods, mudflows and landslides brought by typhoons always cause severe loss of property and human life. For this reason, it is crucial to develop a more accurate and prompt typhoon rainfall prediction technique and thus can provide necessary rainfall potential information to the relevant disaster mitigation agencies. Kidder et al. (2005) developed the Tropical Rainfall Potential (TRaP) technique, which applied satellite-borne passive microwave radiometers, to retrieve a tropical cyclone’s rainfall amount and predict its 24-h accumulated rainfall distribution. However, the effects of a tropical cyclone’s rainband rotation and intensity variation were not considered in their method. To obtain a better approximation to the actual rainfall system, this study will improve the TRaP technique by considering those effects. In the typhoon intensity variation part, the method proposed by DeMaria (2006) was applied to predict the 6-h intensity change with GOES-9 and MTSAT satellites, and the result was further extended to predict the 24-h intensity change and accumulated rainfall. -
The Interaction of Supertyphoon Maemi (2003) with a Warm Ocean Eddy
17A.2 THE INTERACTION OF SUPERTYPHOON MAEMI (2003) WITH A WARM OCEAN EDDY I-I Lin1 ,Chun-Chieh Wu2, Kerry A. Emanuel3, W. Timothy Liu4, and I-Huan Lee5 1National Center for Ocean Research, Taipei, Taiwan 2 Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan 3Dept. of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, USA 4Jet Propulsion Lab, NASA, USA 5Inst. of Marine Geology and Chemistry, National Taiwan Sun Yat-Sen Univ., Kaohsiung, Taiwan 1. INTRODUCTION impact of the NWPO warm ocean eddies on The Northwest Pacific Ocean (NWPO) is the typhoon intensification is not well understood. world's most prolific generator of tropical cyclones, This work serves as our first investigation of producing about 6-10 category-4 (in Saffir-Simpson the impact of a warm ocean eddy on the intensity scale) or category-5 typhoons each year. These change of Maemi (2003) in the NWPO, by using the severe typhoons are direct threats to the half-billion synergy of the multiple remote sensing data and people living on the coast of East Asia. The high the CHIPS (Coupled Hurricane Intensity Prediction frequency of strong typhoons in these regions is System) model (Emanuel, 1999). partly related to the large area of warm sea surface temperature (SST) and correspondingly large 2. EXPERIMENT DESIGN potential intensity (Emanuel 1991). Nevertheless, TOPEX/Poseidon satellite altimetry Sea it remains unclear why some storms reach higher Surface Height Anomaly (SSHA) data and cloud- intensity than others. penetrating SST data from the Tropical Rainfall Recent studies (Bender and Ginis, 2000; Measuring Mission (TRMM) Microwave Imager Shay et al., 2000; Goni and Trinanes, 2003) (TMI) are used to improve the initial and boundary suggest that one of the major stumbling blocks in conditions for hindcast experiments using CHIPS. -
Research Article Application of Buoy Observations in Determining Characteristics of Several Typhoons Passing the East China Sea in August 2012
Hindawi Publishing Corporation Advances in Meteorology Volume 2013, Article ID 357497, 6 pages http://dx.doi.org/10.1155/2013/357497 Research Article Application of Buoy Observations in Determining Characteristics of Several Typhoons Passing the East China Sea in August 2012 Ningli Huang,1 Zheqing Fang,2 and Fei Liu1 1 Shanghai Marine Meteorological Center, Shanghai, China 2 Department of Atmospheric Science, Nanjing University, Nanjing, China Correspondence should be addressed to Zheqing Fang; [email protected] Received 27 February 2013; Revised 5 May 2013; Accepted 21 May 2013 Academic Editor: Lian Xie Copyright © 2013 Ningli Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The buoy observation network in the East China Sea is used to assist the determination of the characteristics of tropical cyclone structure in August 2012. When super typhoon “Haikui” made landfall in northern Zhejiang province, it passed over three buoys, the East China Sea Buoy, the Sea Reef Buoy, and the Channel Buoy, which were located within the radii of the 13.9 m/s winds, 24.5 m/s winds, and 24.5 m/s winds, respectively. These buoy observations verified the accuracy of typhoon intensity determined by China Meteorological Administration (CMA). The East China Sea Buoy had closely observed typhoons “Bolaven” and “Tembin,” which provided real-time guidance for forecasters to better understand the typhoon structure and were also used to quantify the air-sea interface heat exchange during the passage of the storm. -
Dynamics of Atmospheres and Oceans Upper Ocean Response Of
Dynamics of Atmospheres and Oceans 47 (2009) 165–175 Contents lists available at ScienceDirect Dynamics of Atmospheres and Oceans journal homepage: www.elsevier.com/locate/dynatmoce Upper ocean response of the South China Sea to Typhoon Krovanh (2003) Jiang Xiaoping a, Zhong Zhong a,b,∗, Jiang Jing b a Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101, China b Department of Atmospheric Sciences, Nanjing University, Nanjing 210093, China article info abstract Article history: To quantitatively investigate the dynamic and thermal responses of Available online 22 October 2008 the South China Sea (SCS) during and subsequent to the passage of a real typhoon, a three-dimensional, regional coupled air–sea model is developed to study the upper ocean response of the Keywords: SCS to Typhoon Krovanh (2003). Owing to the scarcity of ocean Coupled model observations, the three-dimensional numerical modeling with high South China Sea resolution, as a powerful tool, offers a valuable opportunity to Typhoon investigate how the air–sea process proceeds under such extreme Response conditions. The amplitude and distribution of the cold path pro- duced by the coupled model compare reasonably well with the TRMM/TMI-derived data. The maximum SST cooling is 5.3 ◦C, about 80 km to the right of the typhoon track, which is consistent with the well-documented rightward bias in the SST response to typhoons. In correspondence to the SST cooling, the mixed layer depth exhibits an increase; the increases in the mixed layer depth on the right of typhoon track are significantly higher than those on the left, with maxima of 58 m. -
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