Field Investigations of Coastal Sea Surface Temperature Drop After Typhoon Passages
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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). -
Wang, M., M. Xue, and K. Zhao (2016), September 2008
PUBLICATIONS Journal of Geophysical Research: Atmospheres RESEARCH ARTICLE The impact of T-TREC-retrieved wind and radial 10.1002/2015JD024001 velocity data assimilation using EnKF Key Points: and effects of assimilation window • T-TREC-retrieved wind and radial velocity data are assimilated using an on the analysis and prediction ensemble Kalman filter • The relative impacts of two data sets of Typhoon Jangmi (2008) on analysis and prediction changes with assimilation windows Mingjun Wang1,2, Ming Xue1,2,3, and Kun Zhao1 • The combination of retrieved wind and radial velocity produces better 1Key Laboratory for Mesoscale Severe Weather/MOE and School of Atmospheric Science, Nanjing University, Nanjing, analyses and forecasts China, 2Center for Analysis and Prediction of Storms, Norman, Oklahoma, USA, 3School of Meteorology, University of Oklahoma, Norman, Oklahoma, USA Correspondence to: M. Xue, Abstract This study examines the relative impact of assimilating T-TREC-retrieved winds (VTREC)versusradial [email protected] velocity (Vr) on the analysis and forecast of Typhoon Jangmi (2008) using an ensemble Kalman filter (EnKF). The VTREC and Vr data at 30 min intervals are assimilated into the ARPS model at 3 km grid spacing over four different Citation: assimilation windows that cover, respectively, 0000–0200, 0200–0400, 0400–0600, and 0000–0600 UTC, 28 Wang, M., M. Xue, and K. Zhao (2016), September 2008. The assimilation of VTREC data produces better analyses of the typhoon structure and intensity The impact of T-TREC-retrieved wind and radial velocity data assimilation than the assimilation of Vr data during the earlier assimilation windows, but during the later assimilation using EnKF and effects of assimilation windows when the coverage of Vr data on the typhoon from four Doppler radars is much improved, the window on the analysis and prediction assimilation of V outperforms V data. -
The Influence of Assimilating Dropsonde Data on Typhoon Track
908 MONTHLY WEATHER REVIEW VOLUME 139 The Influence of Assimilating Dropsonde Data on Typhoon Track and Midlatitude Forecasts MARTIN WEISSMANN,* FLORIAN HARNISCH,* CHUN-CHIEH WU,1 PO-HSIUNG LIN,1 YOICHIRO OHTA,# KOJI YAMASHITA,# YEON-HEE KIM,@ EUN-HEE JEON,@ TETSUO NAKAZAWA,& AND SIM ABERSON** * Deutsches Zentrum fu¨r Luft- und Raumfahrt, Institut fu¨r Physik der Atmospha¨re, Oberpfaffenhofen, Germany 1 Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan # Japan Meteorological Agency, Tokyo, Japan @ National Institute of Meteorological Research, Korea Meteorological Agency, Seoul, South Korea & Meteorological Research Institute, Tsukuba, Japan ** NOAA/AOML/Hurricane Research Division, Miami, Florida (Manuscript received 9 February 2010, in final form 21 April 2010) ABSTRACT A unique dataset of targeted dropsonde observations was collected during The Observing System Re- search and Predictability Experiment (THORPEX) Pacific Asian Regional Campaign (T-PARC) in the autumn of 2008. The campaign was supplemented by an enhancement of the operational Dropsonde Ob- servations for Typhoon Surveillance near the Taiwan Region (DOTSTAR) program. For the first time, up to four different aircraft were available for typhoon observations and over 1500 additional soundings were collected. This study investigates the influence of assimilating additional observations during the two major typhoon events of T-PARC on the typhoon track forecast by the global models of the European Centre for Medium- Range Weather Forecasts (ECMWF), the Japan Meteorological Agency (JMA), the National Centers for Environmental Prediction (NCEP), and the limited-area Weather Research and Forecasting (WRF) model. Additionally, the influence of T-PARC observations on ECMWF midlatitude forecasts is investigated. All models show an improving tendency of typhoon track forecasts, but the degree of improvement varied from about 20% to 40% in NCEP and WRF to a comparably low influence in ECMWF and JMA. -
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. -
A Vortex Relocation Scheme for Tropical Cyclone Initialization in Advanced Research WRF
3298 MONTHLY WEATHER REVIEW VOLUME 138 A Vortex Relocation Scheme for Tropical Cyclone Initialization in Advanced Research WRF LING-FENG HSIAO Central Weather Bureau, and Taiwan Typhoon and Flood Research Institute, Taipei, Taiwan CHI-SANN LIOU Naval Research Laboratory, Monterey, California TIEN-CHIANG YEH Central Weather Bureau, Taipei, Taiwan YONG-RUN GUO National Center for Atmospheric Research, Boulder, Colorado DER-SONG CHEN,KANG-NING HUANG,CHUEN-TEYR TERNG, AND JEN-HER CHEN Central Weather Bureau, Taipei, Taiwan (Manuscript received 6 November 2009, in final form 23 February 2010) ABSTRACT This paper introduces a relocation scheme for tropical cyclone (TC) initialization in the Advanced Research Weather Research and Forecasting (ARW-WRF) model and demonstrates its application to 70 forecasts of Ty- phoons Sinlaku (2008), Jangmi (2008), and Linfa (2009) for which Taiwan’s Central Weather Bureau (CWB) issued typhoon warnings. An efficient and dynamically consistent TC vortex relocation scheme for the WRF terrain- following mass coordinate has been developed to improve the first guess of the TC analysis, and hence improves the tropical cyclone initialization. The vortex relocation scheme separates the first-guess atmospheric flow into a TC circulation and environmental flow, relocates the TC circulation to its observed location, and adds the relocated TC circulation back to the environmental flow to obtain the updated first guess with a correct TC position. Analysis of these typhoon cases indicates that the relocation procedure moves the typhoon circulation to the observed typhoon position without generating discontinuities or sharp gradients in the first guess. Numerical experiments with and without the vortex relocation procedure for Typhoons Sinlaku, Jangmi, and Linfa forecasts show that about 67% of the first-guess fields need a vortex relocation to correct typhoon position errors while eliminates the topographical effect. -
Phase Concept for Mudflow Based on the Influence of Viscosity
Soils and Foundations 2013;53(1):77–90 The Japanese Geotechnical Society Soils and Foundations www.sciencedirect.com journal homepage: www.elsevier.com/locate/sandf Phase concept for mudflow based on the influence of viscosity Shannon Hsien-Heng Leen, Budijanto Widjaja1 National Taiwan University of Science and Technology, Department of Construction Engineering, No. 43 Keelung Road, Section 4, Taipei 106, Taiwan Received 22 November 2011; received in revised form 4 July 2012; accepted 1 September 2012 Available online 26 January 2013 Abstract The phase concept implies that the state of soil changes from plastic to viscous liquid as a function of water content. This principle could be used to interpret the behavior of mudflows, the most dangerous mass movements today. When Typhoon Jangmi hit northern Taiwan in 2008, a mudflow occurred in the Maokong area as a result of the high-intensity rainfall. This case was studied using three simulations, each with a different water content. Based on the mudflow classifications, the primary criteria used in this study were flow velocity and solid concentration by volume, while the major rheology parameters directly obtained from our new laboratory device, the flow box test, were yield stress and viscosity. The results show that the mass movement confirmed the aforementioned criteria for mudflow when the water content reaches or exceeds the liquid limit. The flow box test can determine the viscosity for both plastic and viscous liquid states, which is advantageous. Viscosity is important for explaining the general characteristics of mudflow movement because it controls flow velocity. Therefore, the present study successfully elucidates the changes in mudflow from its initiation to its transportation and deposition via a numerical simulation using laboratory rheology parameters. -
The Impact of Dropwindsonde Observations on Typhoon Track Forecasts in DOTSTAR and T-PARC
1728 MONTHLY WEATHER REVIEW VOLUME 139 The Impact of Dropwindsonde Observations on Typhoon Track Forecasts in DOTSTAR and T-PARC KUN-HSUAN CHOU Department of Atmospheric Sciences, Chinese Culture University, Taipei, Taiwan CHUN-CHIEH WU AND PO-HSIUNG LIN Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan SIM D. ABERSON Hurricane Research Division, NOAA/AOML, Miami, Florida MARTIN WEISSMANN AND FLORIAN HARNISCH Deutsches Zentrum fu¨r Luft- und Raumfahrt (DLR), Institut fu¨r Physik der Atmospha¨re, Oberpfaffenhofen, Germany TETSUO NAKAZAWA Meteorological Research Institute, JMA, Tsukuba, Japan (Manuscript received 3 August 2010, in final form 1 November 2010) ABSTRACT The typhoon surveillance program Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR) has been conducted since 2003 to obtain dropwindsonde observations around tropical cyclones near Taiwan. In addition, an international field project The Observing System Research and Predictability Experiment (THORPEX) Pacific Asian Regional Campaign (T-PARC) in which dropwindsonde observations were obtained by both surveillance and reconnaissance flights was conducted in summer 2008 in the same region. In this study, the impact of the dropwindsonde data on track forecasts is investigated for DOTSTAR (2003–09) and T-PARC (2008) experi- ments. Two operational global models from NCEP and ECMWF are used to evaluate the impact of dropwindsonde data. In addition, the impact on the two-model mean is assessed. The impact of dropwindsonde data on track forecasts is different in the NCEP and ECMWF model systems. Using the NCEP system, the assimilation of dropwindsonde data leads to improvements in 1- to 5-day track forecasts in about 60% of the cases. -
A 65-Yr Climatology of Unusual Tracks of Tropical Cyclones in the Vicinity of China’S Coastal Waters During 1949–2013
JANUARY 2018 Z H A N G E T A L . 155 A 65-yr Climatology of Unusual Tracks of Tropical Cyclones in the Vicinity of China’s Coastal Waters during 1949–2013 a XUERONG ZHANG Key Laboratory of Meteorological Disaster, Ministry of Education, and International Joint Laboratory on Climate and Environment Change, and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, and Pacific Typhoon Research Center, Nanjing University of Information Science and Technology, Nanjing, and State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China, and Department of Atmospheric and Oceanic Science, University of Maryland, College Park, College Park, Maryland YING LI AND DA-LIN ZHANG State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China, and Department of Atmospheric and Oceanic Science, University of Maryland, College Park, College Park, Maryland LIANSHOU CHEN State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China (Manuscript received 8 December 2016, in final form 16 October 2017) ABSTRACT Despite steady improvements in tropical cyclone (TC) track forecasts, it still remains challenging to predict unusual TC tracks (UNTKs), such as the tracks of sharp turning or looping TCs, especially after they move close to coastal waters. In this study 1059 UNTK events associated with 564 TCs are identified from a total of 1320 TCs, occurring in the vicinity of China’s coastal waters, during the 65-yr period of 1949–2013, using the best-track data archived at the China Meteorological Administration’s Shanghai Typhoon Institute. These UNTK events are then categorized into seven types of tracks—sharp westward turning (169), sharp eastward turning (86), sharp northward turning (223), sharp southward turning (46), looping (153), rotating (199), and zigzagging (183)—on the basis of an improved UNTK classification scheme. -
Initializing the WRF Model with Tropical Cyclone Real-Time Reports Using the Ensemble
Initializing the WRF Model with Tropical Cyclone Real-Time Reports using the Ensemble Kalman Filter Algorithm Tien Duc Du(1), Thanh Ngo-Duc(2), and Chanh Kieu(3)* (1)National Center for Hydro-Meteorological Forecasting, 8 Phao Dai Lang, Hanoi, Vietnam 1 (2)Department of Space and Aeronautics, University of Science and Technology of Hanoi, Vietnam 2 (3)Department of Earth and Atmospheric Sciences, Indiana University, Bloomington IN 47405, USA Revised: 18 April 2017 Submitted to Pure and Applied Geophysical Science Abbreviated title: Tropical Cyclone Ensemble Forecast Keywords: Tropical cyclones, ensemble Kalman filter, the WRF model, tropical cyclone vital, ensemble forecasting ____________________ *Corresponding author: Chanh Kieu, Atmospheric Program, GY428A Geological Building, Department of Earth and Atmospheric Sciences, Indiana University, Bloomington, IN 47405. Tel: 812-856-5704. Email: [email protected]. 1 1 Abstract 2 This study presents an approach to assimilate tropical cyclone (TC) real-time reports and the 3 University of Wisconsin-Cooperative Institute for Meteorological Satellite Studies (CIMSS) 4 Atmospheric Motion Vectors (AMV) data into the Weather Research and Forecasting (WRF) model 5 for TC forecast applications. Unlike current methods in which TC real-time reports are used to either 6 generate a bogus vortex or spin-up a model initial vortex, the proposed approach ingests the TC real- 7 time reports through blending a dynamically consistent synthetic vortex structure with the CIMSS- 8 AMV data. The blended dataset is then assimilated into the WRF initial condition, using the local 9 ensemble transform Kalman filter (LETKF) algorithm. Retrospective experiments for a number of 10 TC cases in the north Western Pacific basin during 2013-2014 demonstrate that this approach could 11 effectively increase both the TC circulation and enhance the large-scale environment that the TCs are 12 embedded in. -
Integrated Coastal and Oceanic Process Modeling and Applications to Flood and Sediment Management
12th International Conference on Hydroscience & Engineering Hydro-Science & Engineering for Environmental Resilience November 6-10, 2016, Tainan, Taiwan. Integrated Coastal and Oceanic Process Modeling and Applications to Flood and Sediment Management Yan Ding U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory Vicksburg, USA ABSTRACT oceanic process models (INTCOM) can facilitate multi-purpose engineering practice in developing coastal flood management plans, as This paper presents an integrated coastal and oceanic process modeling well as designing erosion control structures by considering large-scale approach and its engineering applications for simulations of flooding and long-term variations of hydrological and meteorological conditions. and sediment transport in coasts and estuaries. It is demonstrated by a case study on the assessment of long-term morphological changes Various coastal and oceanic processes of waves, currents, and sediment driven by synthetic events (typhoons/hurricanes and monsoons) in the transport with a wide range of spatiotemporal scales can be found from Danshui River estuary in Taiwan. In addition to spatiotemporal deepwater to shallow water. At oceans, wind-generated surface waves variations of detailed flow circulations in the estuary, long-term are dominant, in which the scale of wave length varies from 1m to 1km. simulations of coastal and oceanic processes reveals key features of However, astronomical tidal waves have a long wave length usually seasonal morphological changes driven by waves, tides, and river with several hundred kilometers. As far as beach profile changes are flooding flows. It shows both short-term storms and long-term concerned, significant impacts to morphological changes happen in a monsoons are important for management of flood and sedimentation in relatively-narrow nearshore zone. -
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