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研究生:林群益
研究生(外文):Chun-Yi Lin
論文名稱:衛星觀測與數值分析上層海洋熱變化
論文名稱(外文):Satellite Observation and Numerical Analysis in Upper-Ocean Thermal Variability
指導教授:何宗儒何宗儒引用關係
指導教授(外文):Chung-Ru Ho
學位類別:博士
校院名稱:國立臺灣海洋大學
系所名稱:海洋環境資訊學系
學門:自然科學學門
學類:海洋科學學類
論文種類:學術論文
論文出版年:2010
畢業學年度:98
語文別:英文
論文頁數:111
中文關鍵詞:熱通量暖池核心上層厚度熱帶海洋衛星遙測數值模式
外文關鍵詞:Heat fluxWarm core poolUpper layer thicknessTropical oceansSatellite remote sensingNumerical model
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本論文藉由1982年至2008年的衛星海表溫度、海面高度變化資料和耦合模式的結果探討全球海洋暖池和熱帶地區上層海洋的熱變化。本研究把全球熱帶海洋以表面溫度每1C作為分隔,研究結果顯示高海表溫區的面積增加速度大於鄰近較低溫區域,因為高海表溫區域累積足夠的熱量可以提供高海表溫區域面積快速擴展。此外分析上層海洋的熱量收支中的熱平流項及熱擴散項,其結果顯示熱擴散項為可能造成高海表溫區擴大的機制,在暖池邊界熱通量藉由隨時間增加的熱擴散項傳輸造成較大的海表溫梯度。介於海表溫29C和30C的熱帶海洋面積增加率,每十年可增加自身表面積的51%。
本論文也使用美國大氣研究中心氣候模式的耦合混合層模式分析赤道海洋上的跨年變化。模式資料結果也顯示在高海表溫區域的面積增加速度大於鄰近較低溫區域,此與衛星遙測資料得到的結果相似。由經驗模態分解法顯示出跨年變化為影響太平洋和大西洋暖池核心變化的主要成分,但年變化卻是造成印度洋高溫海水變化的主因。

In this study, we investigate the thermal variability of warm pools as well as upper-ocean in the tropical oceans using satellite data and coupled model results. The sea surface temperature (SST) and surface heat flux data from 1982 to 2008 are used as a baseline. The SST in the tropical oceans is binned into 1C interval. Observations at the high SST water areas show larger area increasing rates than that at lower SST areas because the net heat flux accumulates enough energy to support the development of SST at high SST water areas. Furthermore analyses of upper ocean heat budget between heat advection and heat diffusion suggest that heat diffusion processes may be a mechanism for transporting excessive amount of heat that the warm core pool through enhancing the SST gradient around the edge of warm core pool. The area increasing rate between 29C and 30C in the tropical oceans is as high as 51% of the area.
The National Center for Atmospheric Research Community Climate Model version 3 coupled to slab mixed-layer model have also been applied widely in the study of interannual climate variabilities in the tropical oceans. The model analyses show similar results of satellite derived data that high SST areas have larger area-increasing rates than that at lower SST areas. An ensemble empirical mode decomposition analysis shows that the interannual component has strong influence on the variability of the warm core pool in the Pacific Ocean and the Atlantic Ocean, presumably because of the presence of El Niño-Southern Oscillation, while the annual cycle dominates the variability in the Indian Ocean.

Acknowledgements................................... ....................................I
Abstract................................................... .............................II
Abstract (in Chinese).............................. .......................................IV
Table of Contents................................. .........................................V
List of Tables................................ ..................................VII
List of Figures........................... ................................. VIII
List of Abbreviations............ ..................XIII

Chapter 1: Introduction.................... ..........1
1.1 Motivation…… ……1
1.2 Research Area and Background 3
Chapter 2: Data.......... .....10
2.1 Sea Surface Temperature Data ...... 10
2.2 Sea Surface Height Anomaly Data…… ….. 10
2.3 In-situ Measurements..... ... 12
2.4 Simple Ocean Data Assimilation Data.... .... 13
2.5 Reanalysis Heat Flux Data.... .... 14
Chapter 3: Methodology and Model... ..... 16
3.1 Methodology............ ........ 16
3.2 Two-Layer Reduced Gravity Ocean Model......... ........... 22
3.3 CCM3 Couple Ocean Model.............. ...... 26
Chapter 4: Heat Storage Estimation with Salinity Correction.…………...29
4.1 Haline Effect...... ......... 29
4.2 Salinity Correction in Basin Scale Ocean..... ........ 31
Chapter 5: High SST Water in the Tropical Oceans 34
5.1 Western Pacific Warm Pool................ 34
5.2 Upper Layer Thickness 40
5.3 Thermal variability.................. .45
5.4 Interaction between High SST water and Heat Flux Change .50
5.5 Time-Frequency-Spectrum-Energy .55
5.6 Long-term Variability with CCM3-SML Model. .57
Chapter 6: Discussion....... ............59
Chapter 7: Conclusions....... ............66

References............................. .69
Tables............................ ..80
Figures............................ ..84

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