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研究生:詹雅婷
研究生(外文):Ya-Ting Chan
論文名稱:利用多重衛星資料探討颱風的發展過程
論文名稱(外文):Typhoon evolution related to sea surface characteristics in the Northwestern Pacific by using multi-satellite data
指導教授:黃世任黃世任引用關係
指導教授(外文):Shih-Jen Huang
學位類別:碩士
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:中文
論文頁數:88
中文關鍵詞:颱風雲頂溫度海面高度異常值
外文關鍵詞:typhooncloud top temperaturesea surface height anomaly
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  • 被引用被引用:1
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  • 下載下載:24
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本研究利用颱風的最佳路徑配合颱風期間的衛星資料,包含海面溫度、海面高度異常值、雲頂溫度,和模式後報輸出的混合層厚度,及熱含量指標,探討颱風形成及發展受到海面特徵的影響。熱含量指標是利用混合層厚度與海面溫度乘積的簡化熱含量公式,作為熱含量多寡的參考。利用颱風強度參數與海面特徵的關係探討颱風發展的差異,發現最大風速與海面高度異常值相關係數高於0.5的案例佔46.2 %,其他案例大部分都是在未達到強烈颱風之前已登陸,或颱風較晚才達到強烈颱風的強度。另外,本研究將颱風強度參數與海面特徵資料以非監督式分類法進行分類。分類結果將颱風的生命周期區分為增強時期與減弱時期,以及不同海面特徵對颱風發展的影響情形。結果發現熱含量指標對颱風形成初期的影響較明顯,當颱風增強時期遭遇暖渦時,颱風強度增強幅度可達30 Knots、颱風減弱時期遭遇暖渦時,颱風強度減弱幅度約5 Knots,而颱風增強時期遭遇冷渦時,颱風強度的發展會受到抑制甚至開始轉弱。
The purpose of this thesis is to know the typhoon evolution related to sea surface characteristics by using best track, satellite data and hindcast output of model. Best track data from Japan Meteorological Agency is including longitude and latitude and near-center maximum wind speed (MWS). Satellite data is including sea surface temperature (SST), sea surface height anomaly (SSHA) and cloud top temperature (CTT) during typhoon period. Because the in-situ mixed layer depth (MLD) is not easy to get, we used the hindcast mixed layer depth of HYBIRD COORDINATE OCEAN MODEL (HYCOM). To estimate the heat content of upper ocean, we defined a heat content index (HCI) with the SST and MLD. The correlation coefficients between MWS and SSHA higher than 0.5 was about 46.2%; the correlation coefficients between CTT and SSHA lower than -0.5 was about 61.5%. From the correlation results, most of the bad relationship was during El Niño. During El Niño, the atmospheric condition was conducive to the formation of typhoon because of the lower vertical wind shear, but the ocean condition was worse than normal year because of the thinner mixed layer depth. We found out the atmosphere condition could make up a deficiency of sea surface characteristics. Unsupervised classification method is also used in this study. The classification method can distinguish the typhoon life time to different stage, and demonstrate the effect of sea surface characteristics on typhoon evolution. Considering classification results, HCI was an important factor at initial period of typhoon formation. During the stage of typhoon developed, warm eddy could offer more energy and then typhoon became stronger; cold eddy could suppress typhoon development. During the stage of typhoon decayed, warm eddy could delay the time of decaying.
摘要 II
Abstract III
目錄 V
表目錄 VIII
圖目錄 IX
第一章 前言 1
1.1 研究動機與目的 1
1.2 研究範圍 4
1.3 文獻探討 5
第二章 研究資料與研究方法 8
2.1 研究資料 8
2.1.1 最佳路徑資料 9
2.1.2 海面溫度 9
2.1.3 海面高度異常值 11
2.1.4 雲頂溫度 12
2.1.5 混合層厚度 13
2.1.6 熱含量指標(Heat Content Index, HCI) 14
2.1.7 聖嬰指標 14
2.2 研究方法 15
2.2.1 JMA最佳路徑與JTWC最佳路徑 15
2.2.2 分析海面特徵與颱風強度的相關性 16
2.2.3 非監督式分類 17
第三章 結果與討論 20
3.1 颱風分析 20
3.2 颱風形成位置與海面溫度 21
3.3 颱風強度與海面特徵 22
3.3.1 颱風強度與海面高度異常值的關係 22
3.3.2 非監督式分類 24
3.4 颱風個案討論 26
3.4.1 0608 - 桑美颱風 (typhoon Saomai) 27
3.4.2 0613 - 珊珊颱風 (typhoon Shanshan) 29
3.4.3 0614 - 雅吉颱風 (typhoon Yagi) 30
3.4.4 0708 - 聖帕颱風 (typhoon Sepat) 31
3.4.5 0715 - 科羅莎颱風 (typhoon Krosa) 32
3.4.6 0805 - 娜克莉颱風 (typhoon Nakri) 33
3.4.7 0813 - 辛樂克颱風 (typhoon Sinlaku) 34
3.4.8 0815 - 薔蜜颱風 (typhoon Jangmi) 35
第四章 結論與展望 37
參考文獻 40


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