 |
|
|
|
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：6 、訪客IP：18.225.209.95
姓名 迮嘉欣(Chia-hsin Tso) 查詢紙本館藏 畢業系所 大氣物理研究所 論文名稱 資料同化對台灣地區颱風和梅雨模擬之影響 相關論文 檔案 [Endnote RIS 格式]
[相關文章]
[文章引用]
[完整記錄]
[館藏目錄]
[檢視]
- 本電子論文使用權限為同意立即開放。
- 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。
- 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) 本篇研究使用WRF模式和三維變分資料同化方法，選取2008年6月兩個梅雨事件與三個颱風個案進行模擬。模擬中分別同化FORMOSAT-3 GPS RO 折射率資料、追風計畫的投落送資料(dropsonde)、SSM/I、QuikSCAT衛星觀測資料和CWB提供的傳統觀測資料(GTS)，並探討五種不同的觀測資料對模式初始場與數值天氣預報的影響。
觀測資料對模式初始場的修正結果顯示，同化SSM/I或GTS的濕度修正量比同化其他觀測資料大，溫度修正量方面則是同化GPS或GTS修正量較多，同化dropsondes或QuikSCAT在風速修正量值最為顯著。由梅雨與颱風個案模擬結果顯示，同化GTS或SSM/I資料對模擬結果改善最多，同化QuikSCAT資料對颱風預報也有正面的影響，同化GPS對颱風路徑改善並不明顯，而同化投落送資料模擬的天氣系統移速較快。降雨模擬方面，累積降雨預報中同化GPS或SSM/I結果最佳，沒有同化任何觀測資料的控制組降雨預報較差，以上結果顯示水氣和風場的修正對天氣預報的模擬很重要。
GPS和其他觀測資料結合模擬結果方面，同時同化GPS和dropsondes時，可發現同化dropsondes資料對於模式模擬的影響較大。GPS和其他觀測資料同化之結果顯示，有同化GPS會有明顯的改善。GPS cycling run實驗中，同時同化多種資料對模擬有顯著的改善。針對GPS資料點位置的敏感度實驗，結果顯示颱風環流附近的單一GPS資料點，對於模式模擬結果有很大的影響。
摘要(英) This study uses the Weather Research and Forecasting (WRF) model and three-dimensional data assimilation (3DVAR) system to ingest various observations, including FORMOSAT-3 GPS RO, DOTSTAR dropsondes, SSM/I, QuikSCAT, and conventional soundings, into the WRF model for understanding the impact of these data on improvement of numerical weather prediction. Five cases of 2008 weather systems, including two Mei-yu cases and three typhoon cases, are selected for simulation.
The model initial increments show that assimilation of SSM/I or GTS gives humidity increments larger than those from the experiments assimilating other observations. Temperature increments are, however, larger for assimilation of GPS or GTS than other observations. Assimilation of dropsondes or QuikSCAT obtains the most significant wind increments. The results of Mei-yu and typhoon simulations show that assimilation of GTS or SSM/I data simulation has the best improvement, while QuikSCAT data also have some positive impact on typhoon forecasts. Assimilation of GPS RO data does not have a clear impact on typhoon track forecast. On the other hand, assimilation of dropsonde soundings tends to result in a faster moving system. For rainfall prediction, assimilation of GPS or SSM/I appears to give the best performance. The control experiment without assimilation of any observational data in general gives the worset rainfall prediction. The results indicate that consistent modifications on water vapor mixing ratio and wind fields are important to the weather forecasts.
Among the impacts of combined observational data, the dropsonde soundings appear to be more dominant when the GPS data are also assimilated. When GPS data are also assimilated, the simulation with assimilation of other data will become improved. In GPS cycling run experiments, significant improvement of prediction is found in simulations with assimilation of other observations. From the sensitivity tests, single GPS sounding in the vicinity of typhoon circulation might have a considerable impact on typhoon prediction.
關鍵字(中) ★ DOTSTAR
★ SSM/I
★ 三維變分資料同化
★ GPS RO 折射率關鍵字(英) ★ SSM/I
★ DOTSTAR
★ GPS RO
★ 3DVAR論文目次 目 錄
中文摘要 ...........................................I
英文摘要 ...........................................II
誌謝 ...........................................III
目錄 ...........................................IV
圖表說明 ...........................................V
第一章 前言 ........................................1
第二章 研究方法與實驗設計 ..........................5
2.1 研究方法 ....................................5
2.2 實驗設計 ....................................7
第三章 模式模擬結果討論 ............................14
3.1 初始場增益量 ................................14
3.2 個案模擬結果 ................................16
3.3 降雨模擬結果 ................................20
第四章FORMOSAT-3 GPS RO觀測資料測試 ................24
4.1 GPS與其他觀測資料結合同化 ...................24
4.2 GPS cycling run .............................27
4.3 GPS觀測點位置敏感度實驗 .....................27
第五章 總結與未來展望 .............................30
參考文獻 ...........................................33
附表與附圖 .........................................36
參考文獻 黃清勇、朱延祥，2004：FORMOSAT-3/COSMIC 科學研究簡介。大氣 科學，32，293-328。
王潔如，2004：侵台颱風之GPS 折射率3DVAR 資料同化及數值模 擬。國立中央大學，大氣物理研究所，碩士論文，108 頁。
黃葳芃，2006：投落送資料對颱風路徑模擬評估研究—康森及米雷颱風個案分析。國立台灣大學，大氣科學研究所，博士論文，168頁。
陳舒雅，2008：GPS掩星觀測資料同化及對區域天氣預報模擬之影響。國立中央大學，大氣物理研究所，博士論文，137頁。
簡芳菁、謝章眉，2008：投落送與QuikSCAT資料同化對WRF模擬之影響。大氣科學，36，217-248。
黃清勇、王潔如，2008：衛星遙測資料三維變分同化對於颱風模擬的影響。大氣科學，36，249-274。
Barker, D., W. Huang, Y.-R Guo, and A. Bourgeois, 2003: A three-dimensional variarional (3DVAR) data assimilation system for use with MM5. NCAR Technical Note NCAR/TN-453+STR, 68pp
Chen, S.-H., F. Vandenberghe, G. W. Petty, and J. F. Bresch, 2004: Application of SSM/I satellite ata to a hurricane simulation. Quart. J. Roy. Meteor. Soc., 130, 801-825.
Chen, S. H., 2006: The Impact of Assimilating SSM/I and QuikSCAT Satellite Winds on Hurricane Isidore Simulations. Mon. Wea. Rev., 135, 549-566.
Chen, S.-Y., C.-Y Huang, Y.-H. Kuo, Y.-R. Guo and S.Sokolovskiy, 2008 Typhoon predictions with GPS radio occultation data assimilations by WRF-VAR using local and nonlocal operators. Terr. Atmos. Ocean, accepted.
Huang, C.-Y., Y.-H. Kuo, S.-H. Chen and F. Vandenberghe, 2005: Improvements on typhoon forecast with assimilated GPS occultation refractivity. Weather and Forecasting, 20, 931–953.
Kueh, M.-T., C.-Y. Huang, S.-Y. Chen, S.-H. Chen and C.-J. Wang, 2008: Impact of GPS radio occultation soundings on prediction of Typhoon Bilis (2006) landfalling Taiwan. Terr. Atmos. Oceanic Sci., in press.
Kuo, Y.-H., X. Zou, and W. Huang, 1997: The impact of GPS data on the prediction of an extratropical cyclone: An observing system simulation experiment. J. Dyn. Atmos. Ocean, 27, 413-439
Kuo, Y.-H., W. S. Schreiner, J. Wang, D. L. Rossiter, Y. Zhang, 2005: Comparison of GPS radio occultation soundings with radiosondes. Geophys. Res. Letter, 32, L05817, doi:10.1029/2004GL021443.
Kuo, Y.-H., X. Zou, S.-J. Chen, Y.-R. Guo, W. Huang, R. Anthes, D. Hunt,
M. Exner, C. Rocken, S. Sokilovskiy, 1998: A GPS/MET sounding
through an intense upper-level front, Bull. Amer. Met. Soc., 79,617-626.
Kursinki, E. R., G. A. Hajj, K.R. Hardy, L. J. Romans, and J. T. Schofield, 1995: Observing tropospheric water vapor by radio occultation using the global positioning system, Geophys. Res. Letter, 22, 2365-2368.
Sokolovskiy, S., Y.-H. Kuo, and W. Wang, 2005a: Assessing the accuracy of linearized observation operator for assimilation of the Abel-retrieved refractivity: Case simulation with high-resolution weather model. Mon. Wea. Rev., 133, 2200-2212.
Sokolovskiy, S., Y.-H. Kuo, and W. Wang, 2005b: Evaluation of a linear phase observation operator with CHAMP radio occultation data and high-resolution regional analysis. Mon. Wea. Rev., 133, 3053-3059.
Tuleya, R. E., and S. J. Lord, 1997: The impact of dropwindsonde data on GFDL hurricane model forecasts using global analyses. Wea. Forecasting, 12, 307-323.
Ware, R., and Co-authors, 1996: GPS soundings of the atmosphere from low earth orbit: Preliminary results. Bull. Amer. Meteor. Soc., 77, 19-40.
Wu, C.-C., K.-H. Chou, P.-H. Lin, S. D. Aberson, M. S. Peng, and T. Nakazawa, 2007: The impact of dropwindsonde data on typhoon track forecasts in DOTSTAR. .Wea. Forecasting, 22, 1157–1176.
Zou, X., B. Wang, H. Liu, R. A. Anthes, T. Matsumura, and Y.-J. Zhu, 2000: Use of GPS/MET refraction angles in 3D variational analysis. Quart.J. Roy. Meteor. Soc., 126, 3013-3040.
Zou, X., F. Vandenberghe, B. Wang, M. E. Gorbunov, Y.-H. Kuo, S. Sokolovskiy, J. C. C hang, J. G. Sela, and R. Anthes, 1999: A raytracing operator and its adjoint for the use of GPS/MET refraction angle measurements. J. Geophys. Res., 104, 22301-22318.
指導教授 黃清勇(Ching-yuang Huang) 審核日期 2009-7-22 推文 plurk
funp
live
udn
HD
myshare
netvibes
friend
youpush
delicious
baidu
網路書籤 Google bookmarks
del.icio.us
hemidemi
facebook
twitter
google
reddit