Dynamic-LSTM hybrid models to improve seasonal drought predictions over China

Journal of Hydrology(2022)

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摘要
•The ECMWF SEAS5 and the LSTM models are combined to predict seasonal drought.•The seasonal predictions of drought are more skillful compared to dynamical models.•Prediction skills are improved across all seasons in most regions over China.•The hybrid models are more effective in predicting drought onset.
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关键词
Seasonal drought prediction,Hybrid models,LSTM
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