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博碩士論文 etd-0524115-104546 詳細資訊
Title page for etd-0524115-104546
論文名稱
Title
臺灣周邊海域三維海洋數值模式與海表面溫度觀測之驗證與分析
Validation and analysis of three-dimensional ocean models for sea surface temperature around Taiwan
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
126
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2015-05-20
繳交日期
Date of Submission
2015-06-26
關鍵字
Keywords
均方根誤差、平均差、海表面溫度、海洋數值模式、相關係數
Ocean models, SST, Correlation coefficient, RMSE, Mean error
統計
Statistics
本論文已被瀏覽 5925 次,被下載 890
The thesis/dissertation has been browsed 5925 times, has been downloaded 890 times.
中文摘要
為探討全球海洋數值模式應用於臺灣周邊海域的成效,本研究針對美國海軍實驗室(Naval Research Laboratory, NRL)所發展的全球海軍近岸海洋模式(1/8° Global Navy Coastal Ocean Model, GNCOM)以及全球混合座標海洋模式(1/12° Global HYbrid Coordinate Ocean Model, G-HYCOM, 以下簡稱HYCOM)於2012年所模擬的海表面溫度(Sea Surface Temperature, SST)結果進行分析,並將2種模式所模擬之SST資料與高解析度海表面溫度(Group for High Resolution SST, GHRSST)的衛星遙測資料以及交通部中央氣象局(Central Weather Bureau, CWB)的浮標SST資料相互驗證比較。
研究區域選定為臺灣周邊海域(15~30 °N; 115~130 °E),第一步運用CWB之浮標SST資料來驗證GHRSST所提供之衛星SST資料的準確度,經分析後,兩者之間的均方根誤差(Root Mean Square Error, RMSE)皆在2 ℃以內,而相關係數(Correlation Coefficient, R)皆可達0.88以上,由此確認GHRSST所提供之衛星SST資料於臺灣周邊海域具有一定的可信度。第二步以GHRSST之衛星SST資料作為正確的實測值,來驗證GNCOM及HYCOM所模擬之SST,結果顯示於淺水區域有較明顯之誤差。
為找出淺水區域誤差的來源,本研究將GNCOM、HYCOM及GHRSST之SST資料區分為4個時段進行再分析,結果顯示於2012年1~3月期間,臺灣海峽及臺灣東北海域一帶之RMSE最為顯著。1~3月主要為冬季東北季風時期,於此期間有大陸沿岸流(低溫、低鹽度)流經臺灣海峽西側,故而使得SST降低,但模式未能準確掌握大陸沿岸流的趨勢,以致於產生較大的誤差。此外針對臺灣東北海域一帶,冷水來源主要為地形湧升流,模式亦未能準確掌握地形湧升流的趨勢,致使有較大的誤差產生。
透過模式及衛星遙測資料分析比較後,得知於2012年期間針對本論文研究區域內(15~30 °N; 115~130 °E),GNCOM及HYCOM所模擬之SST於深水區域具有一定的可信度,而於淺水區域(例如臺灣海峽、臺灣東北海域)則是有著較顯著的誤差。
Abstract
This study validates the Sea Surface Temperature (SST) reanalyses data from two ocean models around Taiwan (15 °N to 30 °N, 115 °E to 130 °E) for the year 2012. The two models are the US Naval Research Laboratory (NRL) Global Navy Coastal Ocean Model (GNCOM), and the HYbrid Coordinate Ocean Model (HYCOM). Both models had the most advance data assimilation techniques including satellite altimetry and SST data. The spatial resolutions of GNCOM and HYCOM are 12.5 and 8 km, respectively. The observational SST data include the satellite SST from the Group for High Resolution Sea Surface Temperature (GHRSST) and buoys maintained by Central Weather Bureau (CWB).
The parameters in statistical analysis include mean error (ME), standard deviation (S), root mean square errors (RMSE) and correlation coefficient (R). The first step was to validate SST data of GHRSST against CWB buoys. The RMSE between CWB buoys and GHRSST data are less than 2 ℃, and the correlation coefficients (R) are higher than 0.88. The GHRSST data, therefore, are considered meaningful for the study region around Taiwan. The next step is to validate SST data of GHRSST against GMCOM and HYCOM. The results show larger RMSE between models and GHRSST in two regions, the Taiwan Strait and the northeast of Taiwan especially in winter (January to March). Further analyses of the modeling data suggest that the large errors were attributed to two major reasons. Firstly, the southward China Coastal Current (CCC) in winter was not well resolved in the modeling, likely due to assimilated forcing. Secondly, the coarse bathymetric data at the northeast of Taiwan was unable to produce topographic upwelling which has been observed years ago.
目次 Table of Contents
論文審定書 i
誌謝 ii
摘要 iii
Abstract v
目錄 vi
圖次 ix
表次 xii
符號說明 xiii
第一章、緒論 1
1.1 前言 1
1.2 研究區域介紹及文獻回顧 1
1.2.1 研究區域範圍 1
1.2.2 氣候 4
1.2.3 水深地形 4
1.2.4 海流 7
1.2.5 流量 11
1.2.6 湧升流 13
1.3 模式研究回顧 15
1.4 研究目的 20
第二章、研究資料來源及介紹 21
2.1 全球海軍近岸海洋模式(Global Navy Coastal Ocean Model, GNCOM) 21
2.1.1 GNCOM輸出結果簡述 21
2.2 混合座標海洋模式(HYbrid Coordinate Ocean Model, HYCOM) 24
2.2.1 HYCOM輸出結果簡述 24
2.3 高解析度海表面溫度(Group for High Resolution SST, GHRSST) 26
2.3.1 GHRSST 衛星遙測資料簡述 26
2.4 CWB浮標資料 27
2.4.1 CWB浮標資料簡述 28
2.5 全球水深地形資料(ETOPO1) 29
2.5.1 ETOPO1 全球地形水深資料簡述 29
第三章、分析步驟及方法 30
3.1 分析步驟 30
3.2 分析方法 30
3.2.1 內插法 30
3.2.2 驗證指標 30
第四章、結果 31
4.1 GHRSST衛星資料準確度之驗證 31
4.1.1 驗證結果 31
4.1.2 小結 41
4.2 SST比較驗證 42
4.2.1 統一模式與衛星之格式 42
4.2.2 單一點位之SST比較 43
4.2.3 臺灣周邊海域之SST比較 47
4.2.4 小結 56
第五章、討論 59
5.1 淺水區域誤差來源探討 59
5.1.1 資料同化方法檢驗 59
5.1.2 小結 64
5.2 臺灣周邊海域冷水來源探討 65
5.2.1 四個時段的S及RMSE探討 65
5.2.2 臺灣海峽及臺灣東北海域2012年1~3月SST分析比較 81
5.2.3 小結 89
5.3 水深地形資料比較 90
第六章、結論與建議 92
參考文獻 97
附錄1. 內插法介紹 104
附錄2. 驗證指標介紹 106
附錄3. 內插法準確度之確認 109
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