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Enhancement of the predictability in one-way nesting of a regional ocean model : 지역해양 모델의 일방향 둥지화 예측력 개선
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Jin Hwan Hwang | - |
dc.contributor.author | 팜반사이 | - |
dc.date.accessioned | 2018-11-12T00:56:29Z | - |
dc.date.available | 2018-11-12T00:56:29Z | - |
dc.date.issued | 2018-08 | - |
dc.identifier.other | 000000152368 | - |
dc.identifier.uri | https://hdl.handle.net/10371/143109 | - |
dc.description | 학위논문 (박사)-- 서울대학교 대학원 : 공과대학 건설환경공학부, 2018. 8. Jin Hwan Hwang. | - |
dc.description.abstract | Dynamical downscaling with nested regional oceanographic models has been demonstrated to be an effective approach for both operationally forecasted sea weather on regional scales and projections of future climate change and its impact on the ocean. However, when nesting procedures are carried out in dynamic downscaling from a larger-scale model or set of observations to smaller scales, there are two big issues which affect to quality of nested solution. The first issue is unavoidable errors due to the differences in grid sizes and updating intervals. The present work assesses the impact of such errors produced by nesting procedures on the downscaled results from Ocean Regional Circulation Models. Errors are identified and evaluated based on their sources and characteristics by employing the Big-Brother Experiment (BBE). The BBE uses the same model to produce both nesting and nested simulation | - |
dc.description.tableofcontents | ABSTRACT OF DISSERTATION I
TABLE OF CONTENTS IV LIST OF FIGURES VIII LIST OF TABLES XV LIST OF SYMBOLS XVI CHAPTER ONE 1 1. INTRODUCTION 1 1.1 Dynamical downscaling and one-way nesting 1 1.2 Error sources generating during the nesting procedure 5 1.2 Generation of small scales motion in one-way nesting procedure 9 1.3 Objectives 15 1.4 Outline of the Thesis 16 CHAPTER TWO 18 2. BIG-BROTHER EXPERIMENT 18 2.1 The Big-Brother Experiment concept 18 2.2.1 Filtering method 22 2.2 Analytic method 26 2.3 Nested regional model description 30 2.3.1 Governing equation 31 2.3.2 Turbulent closure model 32 2.3.3 Horizontal and vertical grid 38 CHAPTER THREE 39 3. EFFECT OF ERROR SOURCES ON THE RESULTS OF ORCMs. 39 3.1 Introduction 39 3.2 Model set-up 40 3.3. Results 45 3.3.1 Boundary condition types 45 3.3.2 Error during spin-up time in generating small-scale structure 50 3.3.3. Effects of lateral boundary 56 3.3.4. Error propagation and domain size 67 3.3.5. Downscaling ability 73 3.4. Summary 79 CHAPTER FOUR 82 4. SMALL SCALE-ADDING BOUNDARY TECHNIQUE 82 4.1 Introduction 82 4.2. Set-up mode in ideal domain 83 4.3. Results 84 4.3.1. Contribution of adding advection to small scale generation and development 85 4.3.2. Contribution of island to small scale generation 98 4.3.3. Benefit of adding random small scale at boundary condition 100 4.4 Summary 105 CHAPTER FIVE 107 5. ENHANCEMENT OF PREDICTABILITY IN ONE-WAY NESTED PROCEDURE 107 5.1 Introduction 107 5.2 Experimental setup 108 5.3 Results 111 5.3.1. The role of sponge layer in improving quality of ORCMs results 112 5.3.2. Small scale generation effect on the large scales 117 5.3.3. Enhancement of predictability 122 CHAPTER SIX 136 6. SUMMARY AND RECOMMENDATIONS 136 6.1 Summary 136 6.2 Recommendation 143 REFERENCES 144 ABSTRACT IN KOREAN 156 ACKNOWLEDGEMENT 158 | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject.ddc | 624 | - |
dc.title | Enhancement of the predictability in one-way nesting of a regional ocean model | - |
dc.title.alternative | 지역해양 모델의 일방향 둥지화 예측력 개선 | - |
dc.type | Thesis | - |
dc.description.degree | Doctor | - |
dc.contributor.affiliation | 공과대학 건설환경공학부 | - |
dc.date.awarded | 2018-08 | - |
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