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Perturbed Solving Method for Interdecadal

mojiaqi LIN Yihua LIN Wantao CHEN Lihua

mojiaqi LIN Yihua LIN Wantao CHEN Lihua. Perturbed Solving Method for Interdecadal[J]. 中国地理科学, 2012, 22(1): 42-47.
引用本文: mojiaqi LIN Yihua LIN Wantao CHEN Lihua. Perturbed Solving Method for Interdecadal[J]. 中国地理科学, 2012, 22(1): 42-47.
Perturbed Solving Method for Interdecadal[J]. Chinese Geographical Science, 2012, 22(1): 42-47.
Citation: Perturbed Solving Method for Interdecadal[J]. Chinese Geographical Science, 2012, 22(1): 42-47.

Perturbed Solving Method for Interdecadal

基金项目: 国家自然科学基金项目;中国科学院知识创新工程重要方向项目

Perturbed Solving Method for Interdecadal

Funds: National Natural Science Foundation of China
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  • 被引次数: 0
出版历程
  • 收稿日期:  2010-11-09
  • 修回日期:  2010-12-17
  • 刊出日期:  2012-01-03

Perturbed Solving Method for Interdecadal

    基金项目:  国家自然科学基金项目;中国科学院知识创新工程重要方向项目

摘要: A coupled system of the interdecadal sea-air oscillator model is studied. The El Ni?o-southern oscillation (ENSO) atmospheric physics oscillation is an abnormal phenomenon involved in the tropical Pacific ocean-atmosphere interactions. The oscillator model is involved with the variations of both the eastern and western Pacific anomaly pat-terns. This paper proposes an ENSO atmospheric physics model using a method of the perturbation theory. The aim is to create an asymptotic solving method for the ENSO model. Employing the perturbed method, the asymptotic solution of corresponding problem is obtained, and the asymptotic behaviour of the solution is studied. Thus we can obtain the prognoses of the sea surface temperature anomaly and related physical quantities.

English Abstract

mojiaqi LIN Yihua LIN Wantao CHEN Lihua. Perturbed Solving Method for Interdecadal[J]. 中国地理科学, 2012, 22(1): 42-47.
引用本文: mojiaqi LIN Yihua LIN Wantao CHEN Lihua. Perturbed Solving Method for Interdecadal[J]. 中国地理科学, 2012, 22(1): 42-47.
Perturbed Solving Method for Interdecadal[J]. Chinese Geographical Science, 2012, 22(1): 42-47.
Citation: Perturbed Solving Method for Interdecadal[J]. Chinese Geographical Science, 2012, 22(1): 42-47.

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