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研究生:鄭楷禾
研究生(外文):Cheng, Kai-Ho
論文名稱:綠島尾流衛星影像資料重構及其時空變化分析
論文名稱(外文):Data Reconstructions and Spatial-Temporal Analyses of Green Island Wakes from Satellite Imagery
指導教授:何宗儒何宗儒引用關係
指導教授(外文):Ho, Chung-Ru
口試委員:鄭志文何宗儒郭南榮
口試日期:2016-06-15
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:2016
畢業學年度:104
語文別:中文
論文頁數:56
中文關鍵詞:綠島尾流資料重構黑潮
外文關鍵詞:DINEOFGreen islandwakeKuroshio
相關次數:
  • 被引用被引用:1
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  • 下載下載:24
  • 收藏至我的研究室書目清單書目收藏:0
本研究使用2015年位於綠島周遭的衛星海洋表面溫度資料,研究黑潮流經綠島後產生的尾流。由於衛星海洋表面溫度影像受天候影響,常有缺值而造成分析上的不便。雖島嶼尾流屬於小尺度短周期的海洋運動,然實測資料上也不易取得全面性的長期資料進行分析,因為需要不少經費。基於上述原因,本研究使用美國航空暨太空總署(National Aeronautics and Space Administration) 所提供SeaDAS套裝軟體,從波段資料中轉出空間解析度250公尺的海面溫度資料,並使用Data Interpolating Empirical Orthogonal Functions (DINEOF)方法進行數據重構,將資料缺漏的部分補齊,以提高衛星資料的時間解析度。重構後的海面溫度資料,所顯示的綠島尾流降溫區與合成孔徑雷達影像觀測到的尾流邊界,有良好的相關性。而在經驗正交函數分析綠島尾流的時空變化中,第一模態解釋變異量達99.95%,其空間分布可明顯地看出綠島後方的降溫區,顯示尾流所造成的降溫現象為最主要的特徵值。而在去除空間平均的經驗正交函數中,各個模態分別顯示出不同的尾流特徵。每個模態分別呈現出尾流產生方向、擴散範圍與延伸長度的不同。進一步的應用重構影像,依據經驗正交函數第一模態,在綠島後方進行尾流及其延伸範圍的探討。發現於研究資料期間內59%的天數有尾流產生,平均降溫幅度"0.91±0.15℃" ,而尾流的範圍有63%小於20公里,僅約有8%超過30公里,而尾流周期約為五日。因島嶼質量效應所抬升的葉綠素濃度為一至三倍不等。
In this study, satellite sea surface temperature (SST) dataset is used to study the wakes formed by the Kuroshio flows past Green Island, Taiwan. Satellite infrared imagery usually has missing data due to cloud coverage. This situation may cause the difficulty for further analyzing. On the other hand, it is hard to achieve synoptic and long-term information of the wake from in-situ measurements because it will cause lots of money. Thus, the 250-meter satellite SST imagery used in this study is derived from band information using the SeaDAS software package which is developed by the National Aeronautics and Space Administration (NASA). The missing data of SST imagery are filled up by the Data Interpolating Empirical Orthogonal Functions (DINEOF) method. A good correlation of the wake feature is found after comparing the reconstructed images with synthetic aperture radar (SAR) images. The Empirical Orthogonal Functions (EOF) method is further applied to analyzing the spatial-temporal variation of the island wake. The first EOF mode explains 99.95% of the total variance and clearly shows a cooling area behind Green Island. Using the gradient EOF method, each mode indicates different features of wakes, including direction, range, and extended length of the wake. Furthermore, we count reconstructed data to discuss the extended range of the wake by a survey line method. During the data period, the percentage of the wake occurrence was 59%. The average cooling SST was about "0.91±0.15℃" , and its lifetime was about one week. For the extended range of the island wake, there is 63% shorter than 20 km, and only 8% longer than 30 km. In addition, the wakes have 1~3 times higher in chlorophyll concentration due to the island mass effect.
誌謝 I
摘要 II
Abstract III
目錄 IV
圖目錄 V
表目錄 VII
第一章 緒論 1
1.1前言與文獻探討 1
1.2研究動機與目的 3
1.3 研究範圍 3
第二章 研究資料 4
2.1 MODIS海洋參數資料 4
2.2 AVISO海面高度異常資料 5
2.3 合成孔徑雷達資料 6
第三章 研究方法與步驟 7
3.1 衛星影像資料處理 7
3.2經驗正交函數插值法 8
3.3 經驗正交函數 9
第四章 研究結果分析與討論 11
4.1 重構結果 11
4.2經驗正交函數分析 11
4.3 尾流與延伸範圍 12
4.4葉綠素與海面溫度 14
第五章 總結與未來展望 15
5.1 總結 15
5.2 未來展望 16
參考文獻 17

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