An Effective Approach for Improving the Real-Time Prediction of Summer Rainfall over China |
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Authors: | LANG Xian-Mei |
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Affiliation: | International Center for Climate and Environment Sciences, Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences, Beijing 100029, China |
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Abstract: | This paper has two purposes. One is to evaluate the ability of an atmospheric general circulation model (IAP9L-AGCM) to predict summer rainfall over China one season in advance. The other is to propose a new approach to improve the predictions made by the model. First, a set of hindcast experiments for summer climate over China during 1982-2010 are performed from the perspective of real-time prediction with the IAP9L-AGCM model and the IAP ENSO prediction system. Then a new approach that effectively combines the hindcast with its correction is proposed to further improve the model's predictive ability. A systematic evaluation reveals that the model's real-time predictions for 41 stations across China show significant improvement using this new approach, especially in the lower reaches between the Yellow River and Yangtze River valleys. |
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Keywords: | predictive ability IAP9L-AGCM summer rainfall over China |
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