應用衛星資料反演熱力及動力參數分析南海地區熱帶低壓之生成機制

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賴勇瑜(Yung-Yu Lai) 查詢紙本館藏

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大氣物理研究所

論文名稱

應用衛星資料反演熱力及動力參數分析南海地區熱帶低壓之生成機制

相關論文

★ 應用SSM/I衛星資料於西太平洋颱風特性之分析	★ 應用衛星資料於熱帶氣旋之環境場分析
★ 衛星資料反演海氣參數及其在梅雨期海上中尺度對流系統生成發展之應用	★ 應用SSM/I衛星資料分析桃芝與納莉颱風之降雨及海氣參數的變化
★ 利用Spot 4衛星的Vegetation資料比較NDVI, ARVI, 及AFRI植被指數與氣溶膠厚度之關係	★ 應用衛星資料分析颱風降雨與颱風強度變化之關係
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★ MODIS在生質燃燒監測之應用研究	★ 應用SSM/I衛星觀測資料估算颱風定量降水
★ AMSU衛星資料反演大氣溫濕剖面及其在颱風強度估算上之應用	★ 利用HHT之EMD方法分析SSM/I資料估算之客觀指數與颱風強度年際變化關係
★ 模式和SSM/I客觀潛力指數在中尺度對流系統預報上之應用	★ SSM/I衛星資料估算之客觀潛力指數與颱風強度變化之關係
★ 應用SSM/I衛星資料分析颱風形成之激發機制	★ 衛星資料估算颱風旋轉及強度變化在熱帶氣旋定量降雨預測之研究

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摘要(中)

雲簇系統如何發展成熱帶低壓的過程是科學家所重視的研究題目之一，因為熱帶低壓往往會形成颱風，本研究的目的即在分析南海地區的雲簇系統發展成熱帶低壓過程中，雲簇系統的生成與環境場變化。首先利用SSM/I及QuikSCAT衛星資料反演出總合成熱能與近海面渦度場，分別建立客觀熱力與客觀動力指數，再分析熱帶低壓環境場的熱力與動力條件，嘗試歸納出預測熱帶低壓生成與否之機制。
結果顯示:南海區域從雲簇系統發展成熱帶低壓之客觀動力指數與客觀熱力指數的時序變化中，熱帶低壓是否形成的關鍵因素是要同時達到兩指數的門檻值，在JTWC發佈為熱帶低壓前一至兩天，就可判斷此雲簇系統繼續發展成熱帶低壓的可能性。換言之，此方法有助於以客觀角度提前篩選出較易形成熱帶低壓的雲簇系統，以利颱風的防災減災。

摘要(英)

The process of cloud clusters developing into tropical depressions is an important subject which scientists are interested. In this study, we analyzed the environmental field variations related to the cloud clusters which were developing into tropical depressions over the South China Sea. We employed SSM/I and QuikSCAT satellite data to estimate the total heat energy and sea surface vorticity ,and then establish the objective heat index and the objective dynamic index, respectively. We analyzed the variations of the objective heat index and the objective dynamic index of those tropical depressions, and tried to find the main mechanism as whether the tropical depressions will occur or not.
The result shows that the process of cloud clusters developing into tropical depressions over the South China Sea. The key factor of whether a tropical depression will occur or not is that its objective heat index and the objective dynamic index both are higher than the thresholds. This result can allows the warning time is shifted to be one to two days earlier before the official JTWC warning is announced. In other words, this research provide an objective method for earlier predicting whether a tropical depression will occur or not .

關鍵字(中)

★ 雲簇系統
★ 南海地區
★ 熱帶低壓

關鍵字(英)

★ Cloud cluster
★ Tropical depression
★ South China Sea

論文目次

摘要...................................................i
Abstract..............................................ii
目錄................................................iii
表目錄..............................................v
圖目錄...............................................vi
第一章緒論............................................1
1.1 前言...................................................1
1.2 文獻回顧.........................................2
1.3 研究目的......................................5
第二章衛星儀器介紹與資料來源..........................7
2.1 SSM/I衛星儀器...................................7
2.2 QuikSCAT 衛星儀器...................................9
2.3 紅外線衛星影像........................................10
2.4 JTWC 最佳路徑資料............. .................12
第三章研究方法..........................................14
3.1 資料處理.........................................14
3.1.1 SSM/I 資料處理...............................................14
3.1.2 QuikSCAT衛星資料處理......................................15
3.2 海氣參數反演........................................16
3.2.1海水表面溫度（Ts）及近海面空氣溼度（qs）、近海面風速的反演(Ws）.........................................................16
3.2.2近海面空氣溫度.............................................17
3.2.3可感熱及潛熱通量反演.......................................19
3.2.4潛熱釋放量.................................................19
3.3渦度計算.............................................20
3.4 客觀指數之建立...................................21
3.4.1客觀熱力指數之建立 ........................................22
3.4.2客觀動力指數之建立 ........................................23
第四章結果分析與討論.................................25
4.1熱帶低壓客觀指數之探討.............................25
4.1.1門檻值探討.........................................25
4.1.2 綜合討論...........................................33
4.2 南海區域長期監測.....................................33
4.2.1 綜合討論...........................................35
4.3 以9個4度乘4度的方型區域來監測南海區域熱帶低壓生成位置………37
第五章結論與未來展望....................................39
參考文獻.................................................41
參考網站................................................45

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指導教授

劉振榮(Gin-Rong Liu)

審核日期

2009-7-23

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