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Regional Disaster Events and Environment Simulations by Title Atmosphere-Ocean Coupled Model( Dissertation_全文 ) Author(s) LEE, Han Soo Citation Kyoto University (京都大学) Issue Date 2007-09-25 URL http://dx.doi.org/10.14989/doctor.k13373 Right 許諾条件により本文は2008-04-01に公開 Type Thesis or Dissertation Textversion author Kyoto University Regional Disaster Events and Environment Simulations by Atmosphere-Ocean Coupled Model (大気•海洋結合モデルによる地域環境•災害事象シミュレーション) Han Soo LEE September, 2007 1 Regional Disaster Events and Environment Simulations by Atmosphere-Ocean Coupled Model (大気•海洋結合モデルによる地域環境•災害事象シミュレーション) Han Soo LEE September, 2007 2 Abstract An atmosphere-ocean coupled model was developed based on a preexisting non-hydrostatic mesoscale atmosphere model (MM5) and non-hydrostatic ocean circulation model (MITgcm). This model together with a pre-established wind-wave-currents coupled model was applied to a number of regional environmental issue and disaster events to reproduce the present status and past situations and to help our understanding of the physical processes of such problems in terms of atmosphere-ocean interactions including the sea surface waves in the interface between air and sea. The disaster events and environmental issue studied in this thesis are follows. 1) Storm surge induced by Hurricane Katrina in the Gulf coast of USA in 2005. 2) Extreme high waves at Hara coast, Suruga Bay in Japan caused by the super-Typhoon TIP in 1979. 3) Positive and negative feedbacks in typhoon-ocean interaction in case of Typhoon ETAU in 2003. 4) Thermal water circulation in a dam-made lake (Yachiyo Lake) in Hiroshima, Japan concerning on the hydrodynamics in the lake. 5) Reanalysis of the past 47 storms that caused disasters in West Kyushu, Japan. 6) Wave overtopping simulation over through the submerged offshore breakwater and enhance seawall. The Regional Environment and Disaster Prevention Simulator is proposed and constructed based on the regional atmosphere-ocean coupled model in this thesis of which the objective was improvement of the numerical assessment method to disaster events and environment problems by introducing the coupling effects between different systems. 3 ACKNOWLEDGEMENTS First of all, I would like to express my deep gratitude to Prof. Yamashita in Hiroshima University for his guidance and help he has given me throughout the PhD course for 3 years and enthusiasm for research, works, and laboratory. I would like to thank Prof. Sekiguchi for his guidance, proofreading and valuable comments on this thesis and thank other referees, Prof. Mase and Prof. Nakakita for their proofreading to improve this thesis. The help for research and daily life from colleagues, staffs and friends in Disaster Prevention Research Institute, Kyoto University is greatly appreciated. Many discussions with Kim Kyeongok, Mohammed Haggag, other researchers and students in IDEC, Hiroshima University were very helpful and acknowledged. I would like to thank Prof. Choi in Sungkyunkwan University, Korea, for his guidance to this coastal and ocean engineering field, enthusiasm for what he is doing and never-changing encouragements toward students. I am grateful to Yoshida Scholarship Foundation for their scholarship and friendly hospitality for 3 years and also grateful to IDEC, Hiroshima University for hosting me as a special research student. The support from my family, parents, my brothers and sisters in Korea makes me possible to complete PhD course and I thank my wife, Kakegawa Mika, and her family for their support and endurance and small baby inside Mika for smile s/he gives my wife and me. Finally, I am in debt to giant researchers who lend their shoulders for me to step on. 4 Contents Abstract Acknowledgements List of Figures List of Tables 1. Introduction 1 1.1 Global Ocean-Atmosphere Coupled Model 1 1.2 Regional Ocean-Atmosphere Coupled Model 2 1.3 Boundary Layer Processes 3 1.4 Motivation for this thesis 4 1.5 Organization of this thesis 5 References 7 2. Regional Environment and Disaster Event Simulator (REDES) 9 2.1 Introduction 9 2.2 Basic equations 9 2.3 Boundary conditions for NS equations 11 2.4 Atmosphere circulation model in REDES 13 2.4.1 Governing equations of MM5 13 2.4.2 Physical processes parameterization in MM5 15 2.5 Ocean circulation models in REDES 21 2.5.1 POM 21 2.5.1.1 Governing equations of POM 20 2.5.2 MITgcm 24 2.5.2.1 Governing equations of MITgcm 25 2.5.2.2 Atmosphere in MITgcm 26 2.5.2.3 Ocean in MITgcm 26 2.6 Ocean wave simulation models in REDES 27 2.6.1 WaveWatch III 28 2.6.1.1 Governing equations of WW3 28 2.6.1.2 Source terms 29 2.6.2 SWAN 33 2.6.2.1 Governing equations of SWAN 33 I 2.6.2.2 Source terms 34 2.7 Coastal models 38 2.7.1 CADMAS-SURF 38 2.7.2 ECOMSED 40 2.8 Design concept of REDES 41 2.9 Summary 44 References 46 3. Applications to Storm Surge and Extreme High Wave Simulation 51 3.1 Storm surge caused by Hurricane Katrina in the Gulf of Mexico 51 3.1.1 Introduction 51 3.1.2 Hurricane Katrina 52 3.1.3 Wind field generation 52 3.1.4 Wave field generation 58 3.1.5 Storm surge simulation 59 3.1.6 Summary 64 3.2 Extreme high waves by Typhoon 7920 65 3.2.1 Introduction 65 3.2.2 History of Typhoon 7920 66 3.2.3 Simulation of wind, wave and tide 68 3.2.4 Discussion on the extreme high waves 71 3.2.5 Summary 77 References 79 4. Numerical Experiment of Typhoon-Ocean Interaction 82 4.1 Introduction 82 4.2 Model description and configuration 84 4.2.1 Atmosphere model 84 4.2.2 Ocean model 86 4.2.3 Experimental set-up 86 4.2.3.1 One-way experiment 86 4.2.3.2 Atmosphere-Ocean interaction experiment (Typhoon 0310) 87 4.2.3.3 Initial and boundary conditions of ocean model 88 4.3 Model results 89 4.3.1 One-way experiment of ocean circulation 89 II 4.3.2 Atmosphere-Ocean interaction for the case of Typhoon 0310 91 4.3.2.1 Ocean response in typhoon-ocean interaction 91 4.3.2.2 Typhoon response in typhoon-ocean interaction 99 4.3.2.3 Effects of Kuroshio Warm Current on typhoon intensity 103 4.4 Conclusions and discussions 104 References 106 5. Application to Dam Lake Hydrodynamics 109 5.1 Introduction 109 5.2 Study site : Yachiyo Lake and Haji Dam 111 5.2.1 Observations 114 5.3 Meteorological data 114 5.4 Computational method 115 5.4.1 Water circulation model 115 5.4.2 Configuration of water circulation computation 116 5.5 Model results 117 5.5.1 Wind-driven currents 117 5.5.2 Temperature profile and stratification 121 5.5.3 Internal waves 123 5.5.4 Static stability : potential mixing 127 5.5.5 Inflows from the river discharge 128 5.6 Conclusions 128 References 130 6. Applications to Coastal Problems 133 6.1 Introduction 133 6.2 Reanalysis of past major storms in West Kyushu 133 6.2.1 Regional inventory of storm events in West Kyushu 135 6.2.2 Results of reanalyzed storms 138 6.2.2.1 The characteristics of wind field in Omura Bay 139 6.2.3 Wind-induced residual currents in Ariake Sea 145 6.2.4 Summary 153 6.3 Wave breaking and overtopping 155 6.3.1 Wave breaking 155 6.3.2 Wave overtopping 156 6.3.2.1 Overtopping simulation method by CADMAS-SURF 157 III 6.3.2.2 Simulation results 159 6.3.3 Summary and discussion 162 6.4 Conclusions 163 References 164 7. Concluding Remarks 165 A. OASIS3 coupler and coupling procedure 171 A.1 Interfacing models through OASIS3 coupler 171 A.2 Coupling procedure of atmosphere and ocean models 174 IV List of Figures Fig. 1.1 Flowchart of thesis structure 6 Fig. 2.1 Simple illustration of cumulus scheme 18 Fig. 2.2 Simple illustration of PBL processes 18 Fig. 2.3 Simple illustration of microphysics processes 19 Fig. 2.4 Simple illustration of atmospheric radiation processes 19 Fig. 2.5 Simple illustration of surface processes 20 Fig. 2.6 Simple illustration of direct interactions of physics parameterizations 20 Fig. 2.7 Modeling framework of ECOMSED 41 Fig. 2.8 Synoptic diagram of REDES in case of storm surge simulation 42 Fig. 2.9 The structure of the synchronous coupled wind-wave-current model 43 Fig. 2.10 The structure of the synchronous coupled atmosphere-wave-ocean model 43 Fig. 2.11 The hardware platform of High Performance Computing system 44 Fig. 3.1 Tracks of Hurricane Katrina (black star with lines), air RECCO.(black filled circle) and cross section for simulation result (red line) and their observed and simulated time respectively. The supplementary vortex messages directly measured for tropical storms before making landfall show their winds profile and the data for Katrina recorded starting at 03:32Z on 29th August was chosen because it shows relatively well the wind profile of the storm in the simulation time scope 55 Fig. 3.2 Wind profiles of observed supplementary vortex data (red circle) at 03:32Z 29th and simulated wind profiles by Rankine vortex (black circle), modified Rankine vortex (black triangle) and SLOSH (black cross) wind model at 04:00Z 29th. The simulations were performed using RMW decided from BestTrack data and 27km mesh size together with Four Dimensional Data Assimilation (FDDA) 56 Fig. 3.3 Wind profiles of observed supplementary vortex data (red circle) at 03:32Z 29th and simulated wind profiles by Rankine vortex (black circle), modified Rankine vortex (black triangle) and SLOSH (black cross) wind model at 04:00Z 29th.