博碩士論文 986201010 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:12 、訪客IP:13.59.169.37
姓名 鄧雯心(Wen-hsin Teng)  查詢紙本館藏   畢業系所 大氣物理研究所
論文名稱 使用福爾摩沙衛星三號掩星資料評估全球及區域水氣之分布
(Global and Regional Distribution of Water Vapor from COSMIC)
相關論文
★ 雲微物理參數化法應用於颱風模式中之研究★ 1998年臺灣梅雨個案模擬及其應用 -蘭陽平原之擴散研究
★ 地形對颱風路徑的影響之數值探討★ 中尺度MM5數值模式與大氣擴散模式之整合應用研究
★ 侵台颱風之GPS折射率3DVAR資料同化及數值模擬★ 地形及渦旋初始化對類似納莉颱風路徑及環流變化之影響
★ 類似桃芝颱風路徑之模擬★ WRF模式在颱風路徑預報應用與EOF分析誤差因素
★ 利用WRF3DVAR同化GPS折射率資料探討 對於颱風預報的影響★ 衛星資料結合變分分析對數值預報之影響
★ 利用MM5 4DVAR模式同化掩星折射率資料及虛擬渦旋探討颱風數值模擬之影響★ 利用MM5 4DVAR同化虛擬渦旋探討其對WRF模式預報颱風之影響
★ GPS掩星觀測資料同化及對區域天氣預報模擬之影響★ 西北向侵台颱風登陸前中心路徑打轉之模擬研究
★ 衛星資料與虛擬渦旋四維變分同化對颱風數值模擬的影響★ 資料同化對台灣地區颱風和梅雨模擬之影響
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 水氣的變異以及水氣的全球分布情形對天氣系統、氣候的變化皆有重要的影響。本研究主要目的為使用福爾摩沙衛星三號掩星資料(FORMOSAT-3/COSMIC GPS RO)反演之可降水量,探討全球或區域的水氣分布,同時與其它觀測比較以及驗證。
首先探討全球水氣分布,本研究就聖嬰暖事件與反聖嬰冷事件,比對 GPS RO的可降水量與其他水氣相關資料(降水、外逸長波輻射、海表溫度及垂直上升速度)的分布情形,顯示在熱帶地區具有相當高的相關性。
在海洋上,比較GPS RO 與SSM/I、AMSR-E衛星觀測資料的可降水量。分析發現,三者的全球水氣分布相似,唯GPS RO 資料的可降水量因低層水氣並非實際觀測,導致大部分地區有低估的情形,尤其,在南緯10度至北緯30度間,三者有較大差異。另外,比較三者在冷暖事件的距平分布,顯示GPS RO 資料在強事件時,與其他兩者的相位相當吻合,其結果也和相關研究結果一致。整體而言,GPS RO 資料提供相當可靠的全球水氣分布,有助於了解氣候的變化。
在陸地上,則探討地基GPS、GPS RO 資料二者可降水量的差異。在各緯度,兩者具有相當高的相關係數,但低緯度的相關係數較低一些;兩者的時間序列也是在中高緯度比較吻合,可能因為掩星水氣在熱帶地區低層的估計誤差較大、資料數量較少。另外,本研究亦針對兩者,比較海陸站點的差異。二者海陸的差異並不如緯度的差異大,但是陸地上的差異會呈現出明顯的季節變化。
摘要(英) The global variation and distribution of water vapor play an important role in weather system and climate change. In this study, we used the total precipitable water (TPW) retrieved from FORMOSAT-3/COSMIC GPS Radio Occultation (RO) to exhibit global or regional water vapor distribution. By comparing GPS RO data with other different data sources, we can identify the correlation of GPS RO data with others and thus explore the same climate signals as revealed by their coincidence.
We first focus on the comparison of global distribution between GPS RO TPW and all the other related data, including precipitation, OLR, SST and vertical velocity. We found that GPS RO data correlated well with all the other different variable data sets in tropical regions, regardless of opposite phases of the climate signals exhibited by El Nino (warm event) and La Nina (cold event) from 2007-2011.
Similar global distributions were found when comparing GPS RO TPW with water vapor over ocean retrieved from SSM/I and AMSR-E. But, the unrealistic water vapor of GPS RO data in lower troposphere results in underestimate in most regions, especially during latitude range from 10oS to 30oN, as compared to estimates by the other two satellites. Besides, for a strong climate event, GPS RO data appear to address a clearer picture in agreement with the other two data sets. In summary, GPS RO data provide reliable water vapor estimation and climate signals.
We also extended comparisons of the GPS RO TW with ground-based GPS TPW and found a very high correlation coefficient (>0.9) globally with latitudinal dependence. These comparisons highlight the value of the GPS RO water vapor retrieval over land and ocean.
關鍵字(中) ★ 掩星資料 關鍵字(英) ★ COSMIC GPS RO
論文目次 中文摘要 ................................................. i
英文摘要 ................................................ ii
誌謝 ................................................ iii
目錄 ................................................. iv
圖表說明 ................................................. v
第一章 緒論 .......................................... 1
1-1 前言 ............................................. 1
1-2 文獻回顧 .......................................... 2
1-3 內容架構 .......................................... 4
第二章 資料來源 ........................................ 5
第三章 全球環流分布 .................................... 8
3-1 全球水氣水平分布情形 .................................. 8
3-2 以ENSO事件檢視COSMIC可降水量與其他資料分布相關性 ........ 10
第四章 比較COSMIC和SSM/I, AMSR-E的可降水量資料 ......... 14
4-1 資料處理及比較方法 ................................. 14
4-2 以ENSO事件比較及檢視全球水氣分布變化 ................. 15
第五章 比較COSMIC和地基GPS的可降水量資料 ................. 20
5-1 資料處理及比較方法 ..................................20
5-2 比較結果 ......................................... 20
第六章 總結與未來展望 ................................. 24
參考文獻 .............................................. 26
附錄 ................................................. 29
附表與附圖 ............................................ 30
參考文獻 胡浩霖,2007:福爾摩沙衛星三號掩星資料對全球夏季氣候研究的影響。國立中央大學,大氣物理研究所,碩士論文,80頁。
許志偉,2002:熱帶與副熱帶地區半年週期震盪之探討。國立中央大學,大氣物理研究所,碩士論文,50頁。
李思瑩,2004:全球與區域水氣收支初步分析。國立中央大學,大氣物理研究所,碩士論文,73頁。
黃玉華,2005:聖嬰現象對台灣附近海域海氣象影響之研究。國立中山大學,海洋資源研究所,碩士論文,113頁。
曾忠一,大氣科學中的反問題,國立編譯館主編及出版,台北市,民國九十五年。
劉雅章,1998:科技文化:專論。厄爾尼諾:太平洋之子。二十一世紀雙月刊,第四十六期。
Ahrens, C. Donald. (2006). Meteorology Today: An Introduction to Weather, Climate, and the Environment (8 ed). Canada: Thompson Brooks Cole Publisher.
Anthes, R. A., and Coauthors, 2008: The COSMIC/ FORMOSAT-3 Mission: Early results. Bull. Amer. Meteor. Sci., 89, 313–333.
Chou, M.-D., C.-H. Weng, and P.-H. Lin, 2009: Analysis of FORMOSAT-3/COSMIC Humidity Retrievals and Comparisons with AIRS Retrievals and NCEP/NCAR Reanalysis, J. Geophys.Res., 114, doi:10.1029/2008JD010227.
Chou, C., J.-Y. Tu, and J.-Y. Yu, 2003: Interannual Variability of the Western North Pacific Summer Monsoon: Differences between ENSO and Non-ENSO Years, J. Climate., 16, 2275-2287.
Chou, C., and J.-Y. Tu, 2008: Hemispherical Asymmetry of Tropical Precipitation in ECHAM5/MPI_OM During El Nino and under Global Warming, J. Climate., 21, 1309-1332.
Hajj, G., C. O. Ao, B. A. Iijima, D. Kuang, E. R. Kursinski, A. J. Mannucci, T. K. Meehan, L.J. Romams, M. de la Torre Juarez, and T. P. Yunck, 2004: CHAMP and SAC-C Atmospheric Occultation Results and Inter-comparisons, J. Geo phys. Res., 109, D06109, doi: 10.1029/2003JD003909.
Ho, S.-P., Y.-H. Kuo, Z. Zeng, and T. C. Peterson, 2007: A comparison of lower stratosphere temperature from microwave measurements with CHAMP GPS RO data. Geophysical Research Letters, 34, L15701, doi:10.1029/2007GL030202.
Ho, S.-P., M. Goldberg, Y.-H. Kuo, C.-Z. Zou, and W. Schreiner, 2009(a): Calibration of Temperature in the Lower Stratosphere from Microwave Measurements using COSMIC Radio Occultation Data: Preliminary Results, Terr. Atmos. Oceanic Sci., 20, 87-100, doi:10.3319/TAO.2007.12.06.01(F3C).
Ho, S.-P., W. He, and Y.-H. Kuo, 2009(b): Construction of Consistent Temperature Records in the Lower Stratosphere using Global Positioning System Radio Occultation Data and Microwave Sounding Measurements, New Horizons in Occultation Research, A. Steiner, B. Pirscher, U. Foelsche, and G. Kirchengast, Eds., Springer Berlin Heidelberg, 207-217, doi:10.1007/978-3-642-00321-9_17.
Ho, S.-P., X. Zhou, Y.-H. Kuo, D. Hunt, and J.-H. Wang, 2010: Global Evaluation of Radiosonde Water Vapor Systematic Biases using GPS Radio Occultation from COSMIC and ECMWF Analysis, Remote Sensing, 2(5), 1320-1330, doi:10.3390/rs2051320.
Klein, S. A., B. J. Soden, N.-C. Lau, 1999: Remote Sea Surface Temperature Variations during ENSO: Evidence for a Tropical Atmospheric Bridge , J. Climate., 12, 917-930.
Kuo, Y.-H., T.-K. Wee, S. Sokolovskiy, C. Rocken, W. Schreiner, D. Hunt, and R. A. Anthes, 2004: Inversion and Error Estimation of GPS Radio Occultation Data, Journal of the Meteorological Society of Japan, 82(1B), 507-531.
Kursinski, E. R., G. A. Hajj, S. S. Leroy, and B. Herman, 2000: The GPS Radio Occultation Technique, Terr. Atmos. Oceanic Sci., 11, 53– 114.
Mears, C., J. Wang , S.-P. Ho, L. Zhang, and X. Zhou, 2010: Total Column Water Vapor, [In "States of the Climate in 2009"], Bull. Amer. Meteor. Sci., 91(7), S29-S31, doi:10.1175/BAMS-91-7-StateoftheClimate.
Rasmusson, E. M., and T. H. Carpenter, 1982: Variation in Tropical Sea Surface Temperature and Surface Wind Fields Associated with the Southern Oscillation/ El Nino. Mon. Wea. Rev., 110, 354-384.
Rocken, C., Y.-H. Kuo, W. Schreiner, D. Hunt, S. Sokolovskiy and C. McCormick, 2000: COSMIC System Description. Terrestrial, Atmospheric and Oceanic Sciences (special issue), 11(1), 21-52.
Sokolovskiy, S., Y.-H. Kuo, C. Rocken, W. S. Schreiner, D. Hunt, and R. A. Anthes, 2006: Monitoring the Atmospheric Boundary Layer by GPS Radio Occultation Signals Recorded in the Open-Loop Mode, Geophys. Res. Lett., 33, L12813, doi:10.1029/2006GL025955.
Trenberth, K. E., J. T. Fasullo, and L. Smith, 2005: Trends and Variability in Column-Integrated Atmospheric Water Vapor. Climate Dyn., 24, 741–758.
Wang, B., R.-G. Wu, and X.-H. Fu, 2000: Pacific-East Asia Teleconnection: How does ENSO Affect East Asian Climate? , J. Climate., 13, 1517-1536.
Wang, J., L. Zhang, A. Dai, T. Van Hove, and J. Van Baelen, 2007: A Near-Global, 8-year, 2-hourly Data Set of Atmospheric Precipitable Water from Ground-based GPS Measurements. J. Geophys. Res., 112, D11107, doi:10.1029/2006JD007529.
Wick, G. A., Y.-H. Kuo, F. M. Ralph, T.-K. Wee, and P. J. Neiman, 2008: Intercomparison of Integrated Water Vapor Retrievals from SSM/I and COSMIC, Geophys. Res. Lett., 35, L21805, doi:10.1029/2008GL035126.
指導教授 黃清勇(Ching-Yuang Huang) 審核日期 2012-1-29
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明