| 研究生: |
呂英展 Ing-Jaan Leu |
|---|---|
| 論文名稱: |
NCEP月平均資料的經驗正交模分析 NCEP |
| 指導教授: |
李永安
Yung-An Lee |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
地球科學學院 - 大氣物理研究所 Graduate Institute of Atmospheric Physics |
| 畢業學年度: | 92 |
| 語文別: | 中文 |
| 論文頁數: | 85 |
| 中文關鍵詞: | 經驗正交模分析 |
| 外文關鍵詞: | ENMA |
| 相關次數: | 點閱:8 下載:0 |
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本篇論文主要是利用經驗正交模分析法(Empirical Normal Mode Analysis;ENMA),分析實際觀測的月平均資料,試圖找出具有物理意義的時空一致性結構,並了解其影響範圍、因子及其時空的演變。
本文所使用的資料為美國國家環境預報中心重新分析資料(National Centers for Environmental Prediction/NCAR reanalysis),資料時間自1950年1月至2003年12月共計54年的月平均資料,水平解析度為2.5°(lat.)×5°(long.),分別範圍為60°S~60°N。分析所用資料包括溫度場(K)、重力位高度場(gpm)、比濕(kg/kg)、緯向風場(m/s)、流函數(m2/s)、速度位(m2/s)及垂直運動場(Pa/s)等七個變數場。其中除比濕場垂直空間層高度只到300hPa,採用1000、850、500及300hPa四層標準氣壓層外,其餘六個變數場垂直空間層則使用1000、850、500及250hPa四層標準氣壓層。
本文所使用的方法是李在2004年發展出的經驗正交模分析(ENMA),此方法結合MSSA的線性特徵與POP(Principal Oscillation Pattern)的波動特徵,從觀測資料中獲得動力系統的正交模震盪,並計算其波譜值與確認波動的傳播和變化的分布。
在熱帶地區最明顯的氣候訊號就是聖嬰現象 (ENSO),週期大約2至7年,其源地和發展機制至今仍是一個謎,因此本文希望藉由ENMA的分析方法,進一步去探討各種氣象因子所造成的影響,分析結果顯示ENSO現象是由兩個明顯的波動所組成,一個波的週期約是59個月,起源於赤道中太平洋並且向東傳播。另一個波是有43個月的週期,產生在南美洲沿岸,有向西傳遞的趨勢。
ENMA
謝榮傑,1998:重新分析資料對於氣候分析之影響。國立中央大學大氣物理研究所碩士論文,1-51頁。
Barnett, T. P., 1991: The interaction of multiple time scales in the tropical climate system. J. Climate, 4, 269-285.
Bourke, W., 1988:Spectral methods in global climate and weather prediction models, Physically-based Modelling and Simulation of Climatic Chang, Part 1, M. E. Schlesinger, Ed., Kluwer Academic, Dordrecht, The Netherlands, pp.169-219.
Bretherton, C. S., C. Smith, and J. M. Wallace, 1992:An intercomparison of methods for finding coupled patterns in climate data. J. climate, 5, 541-560.
Fedorov, A. V., S. L. Harper, S. G. Philander, B. Winter, and A. Wittenberg, 2003: How Predictable is El Nino? Bull. Am. Meteorol. Soc., 84, 911-919.
Fraedrich, K., L. M. John, M. F. William, and W. Risheng, 1997:Extened EOF Analtsis of Tropical Disturbances:TOGA COARE, J. Atmos. Sci., 54, 2363-2372
Golub, G. H. and C. F. Van Loan, 1996: Matrix Computations. Johns Hopkins Univ. Press, Baltimore, 694 pp.
Harrison, D. E., and N. K. Larkin, 1998: El Nino-Southern Oscillation sea surface temperature and wind anomalies, 1946-1993. Reviews of Geophysics, 36, 353-399.
Hasselmann, K., 1988: PIPs and POPs: The reduction of complex dynamical systems using principal interaction and oscillation patterns. Journal of Geophysical Research, 93, 11015-11021.
Jin, F.-F., J. D. Neelin, and M. Ghil, 1994: El Niño on the devil’s staircase: Annual subharmonic steps to chaos. Science, 264, 70-72.
Krishnamurthy ,V. and B.N.Goswami,2000:Indian Monsoon-ENSO relationship on interdecadal timescale. J. Climate, 13, 579-595.
Lee, Y.-A., 2002:A T-EOF based prediction method. J. Climate, 15, 226-234.
Lee, Y.-A., 2004: Alternative approaches to estimating linear propagator and finite-time growth rates from data. J. Climate (in revision).
Lee, Y.-A., 2004: An Empirical Normal Mode Analysis of the Global Sea Surface Temperature: The Dominant Normal Mode Characteristics of the El Niño-Southern Oscillation:J. Climate, (revised).
Penland, C., and T. Magorian, 1993: Prediction of Nino 3 sea surface temperatures using linear inverse modeling. J. Climate, 6, 1067-1076.
Penland, C., 1989: Random forcing and forecasting using principal oscillation pattern analysis. Mon. Wea. Rev., 117, 2165-2185.
Penland, C. and P.D.Sardeshmukh,1995:The optimal growth of tropical Sea Surface Temperature Anomalies:J. Climate, 8, 1999-2024.
Philander, S. G. H., 1990: El Nino, La Nina, and the Southern Oscillation. Academic, New York, 289 pp.
Preisendorfer, R. W., and C. D. Mobley, 1988:Principal Component Analysis in Meteorology and Oceanography. Elsevier, Amsterdam, 425 pp.
Rasmusson, E. M., and T. H. Carpenter, 1982: Variations in tropical sea surface temperature and surface wind fields associated with the Southern Oscillation/El Nino. Monthly Weather Review, 110, 354-384.
von Storch, H., G. Buerger, R. Schnur, and J. von Storch, 1995: Principal oscillation patterns: a review. J. Climate, 8, 377-400.
Vautard, R., and M.Ghil,1989:Singulr Spectrum Analysis in Nonlinear Dynamics with Applications to Paleoclimatic time series, Physica D, 35, 395-424
Vautard, R. P. Tiou and M.Ghil,1992:Singulr Spectrum Analysis:A Toolkit for Short, Noisy Chaotic Signals, Physica D, 58, 395-424.
Wallace, J. M., and D. S. Gutzler, 1981:Teleconnections in the Geopotential Height Field during the Northern Winter. Mon. Wea. Rev., 109, 784-812.
Wallace, J. M., E. M. Rasmusson, T. P. Mitchell, V. E. Kousky, E. S. Sarachik, and H. von Storch, 1998: On the structure and evolution of ENSO-related climate variability in the tropical Pacific: lessons from TOGA. Journal of Geophysical Research, 103, 14241-14259.
Yu, J.-Y., C. R. Mechoso, J. C. McWilliams, and A. Arakawa, 2001: Impacts of the Indian Ocean on the ENSO cycle. Geophys. Res. Lett., 29, 10.1029/2001GL014098.