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Improving ECMWF short-term intensive rainfall forecasts using generative adversarial nets and deep belief networks

  • Published:2021-02 Issue: Volume:249 Page:105281
  • ISSN:0169-8095
  • Container-title:Atmospheric Research
  • language:en
  • Short-container-title:Atmospheric Research

Author:

Xie Huosheng,Wu Lidong,Xie Wei,Lin Qing,Liu Ming,Lin Yongjing

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Atmospheric Science

Reference32 articles.

1. Smote: synthetic minority over-sampling technique;Chawla;J. Artif. Intell. Res.,2002

2. Improvement and application test of trec algorithm for convective storm nowcast;Chen;J. Appl. Meteorol. Sci.,2007

3. Precipitation verification and analysis of ecmwf ensemble statistic products in 2013 flooding season;Chen;Torrential Rain Disast.,2015

4. Short-term weather forecast based on wavelet denoising and catboost;Diao,2019

5. Study of precipitation forecast based on deep belief networks;Du;Algorithms,2018
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