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Volume 14 Issue 1

Jan.  1997

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Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 1997 >  14(1): 87-92

Comparison of Long-Term Forecasting of June-August Rainfall over Changjiang-Huaihe Valley

  • 1.

    Jiangsu Institute of Meteorology, Nanjing 210009,Jiangsu Institute of Applied Climatology, Nanjing 210009,Department of Atmospheric Sciences, Nanjing University, Nanjing 210093


doi: 10.1007/s00376-997-0047-4

  • In terms of an Artificial Neural Network (ANN) established is a long-term prediction model for June-August flood / drought in the Changjiang-Huaihe Basins and a regression forecasting expression is formulated with the aid of the same factors and sample size for comparison. Results show that the ANN is superior in predictions and fittings due to its higher self-adaptive learning recognition and nonlinear mapping especially in the years of severe flood and drought. This shows great promise in using ANN in the research of flood / drought prediction on a long-range basis
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    • Manuscript History

    Manuscript received: 10 January 1997
    Manuscript revised: 10 January 1997
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

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    Comparison of Long-Term Forecasting of June-August Rainfall over Changjiang-Huaihe Valley

    • 1. Jiangsu Institute of Meteorology, Nanjing 210009,Jiangsu Institute of Applied Climatology, Nanjing 210009,Department of Atmospheric Sciences, Nanjing University, Nanjing 210093
    • Manuscript received: 1997-01-10
    • Manuscript revised: 1997-01-10

    Abstract: In terms of an Artificial Neural Network (ANN) established is a long-term prediction model for June-August flood / drought in the Changjiang-Huaihe Basins and a regression forecasting expression is formulated with the aid of the same factors and sample size for comparison. Results show that the ANN is superior in predictions and fittings due to its higher self-adaptive learning recognition and nonlinear mapping especially in the years of severe flood and drought. This shows great promise in using ANN in the research of flood / drought prediction on a long-range basis

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