Bias correction of an ocean-atmosphere coupled model

被引：69

作者：

Chen, D ^{[1
]}

Cane, CM ^{[1
]}

Zebiak, SE ^{[1
]}

Cañizares, R ^{[1
]}

Kaplan, A ^{[1
]}

机构：

[1] Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA

来源：

GEOPHYSICAL RESEARCH LETTERS | 2000年 / 27卷 / 16期

关键词：

D O I：

10.1029/1999GL011078

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

A serious problem in the initialization of a climate forecast model is the model-data incompatibility caused by systematic model biases. Here we use the Lament model to demonstrate that these biases can be effectively reduced with a simple statistical correction, and the bias-corrected model can have a more realistic internal variability as well as an improved forecast performance. The results reported here should be of practical use to other ocean-atmosphere coupled models for climate prediction.

引用

页码：2585 / 2588

页数：4

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