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The African Climate as Predicted by the IAP Grid-Point Nine-Layer Atmospheric General Circulation Model (IAP-9L-AGCM)


doi: 10.1007/s00376-997-0060-7

  • A brief introduction is given of the Grid-point 9-layer Atmospheric General Circulation Model (AGCM) de-veloped at the Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences. The results of the 1980-1989 Atmospheric Model Inter-Comparison Program (AMIP) run were compared with observed European Centre for Medium-Range weather Forecasts (ECMWF) temperature data for the same period. The statistical analysis, and Grids Analysis and Display System (GrADS) results have shown that the model holds a great promise in predicting the African climate with considerable accuracy, within and across the seasons. This is a great hope for climate re-search in Africa which is data-sparse region.
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    [18] Temesgen Gebremariam ASFAW, Jing-Jia LUO, 2022: Seasonal Prediction of Summer Precipitation over East Africa Using NUIST-CFS1.0, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 355-372.  doi: 10.1007/s00376-021-1180-1
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Manuscript History

Manuscript received: 10 July 1997
Manuscript revised: 10 July 1997
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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The African Climate as Predicted by the IAP Grid-Point Nine-Layer Atmospheric General Circulation Model (IAP-9L-AGCM)

  • 1. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100080,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100080,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100080,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100080

Abstract: A brief introduction is given of the Grid-point 9-layer Atmospheric General Circulation Model (AGCM) de-veloped at the Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences. The results of the 1980-1989 Atmospheric Model Inter-Comparison Program (AMIP) run were compared with observed European Centre for Medium-Range weather Forecasts (ECMWF) temperature data for the same period. The statistical analysis, and Grids Analysis and Display System (GrADS) results have shown that the model holds a great promise in predicting the African climate with considerable accuracy, within and across the seasons. This is a great hope for climate re-search in Africa which is data-sparse region.

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