Convolutional neural network-based statistical post-processing of ensemble precipitation forecasts

被引：0
|
作者：
Li, Wentao [1 ,5 ]
Pan, Baoxiang [2 ]
Xia, Jiangjiang [3 ,4 ]
Duan, Qingyun [1 ,5 ]
机构：
[1] State Key Laboratory of Hydrology–Water Resources and Hydraulic Engineering and College of Hydrology & Water Resources, Hohai University, Nanjing,210098, China
[2] Lawrence Livermore National Laboratory, Livermore,CA,94550, United States
[3] nstitute of Atmospheric Physics, Chinese Academy of Sciences, Beijing,100029, China
[4] University of Chinese Academy of Sciences, Beijing,100049, China
[5] CMA-HHU Joint Laboratory for HydroMeteorological Studies, Nanjing,Jiangsu,210098, China
来源：
Journal of Hydrology | 2022年 / 605卷
基金：
中国国家自然科学基金;
关键词：
Convolutional neural network - Ensemble forecasting - Hydrological ensemble forecasting - Network-based - Post-processing - Postprocessing methods - Precipitation forecast - Processing model - Spatial informations - Statistical post processing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Convolutional neural network-based statistical post-processing of ensemble precipitation forecasts
    Li, Wentao
    Pan, Baoxiang
    Xia, Jiangjiang
    Duan, Qingyun
    [J]. JOURNAL OF HYDROLOGY, 2022, 605
  • [2] Post-processing of ETA/RSM ensemble precipitation forecasts by a neural network
    Mullen, SL
    Poulton, MM
    Brooks, HE
    Hamill, TM
    [J]. FIRST CONFERENCE ON ARTIFICIAL INTELLIGENCE, 1998, : J31 - J32
  • [3] Post-processing of ETA/RSM ensemble precipitation forecasts by a neural network
    Mullen, SL
    Poulton, MM
    Brooks, HE
    Hamill, TM
    [J]. 14TH CONFERENCE ON PROBABILITY AND STATISTICS IN THE ATMOSPHERIC SCIENCES, 1998, : J103 - J104
  • [4] Statistical post-processing of visibility ensemble forecasts
    Baran, Sandor
    Lakatos, Maria
    [J]. METEOROLOGICAL APPLICATIONS, 2023, 30 (05)
  • [5] Intercomparison of multiple statistical methods in post-processing ensemble precipitation and temperature forecasts
    Li, Xiangquan
    Chen, Jie
    Xu, Chong-Yu
    Chen, Hua
    Guo, Shenglian
    [J]. METEOROLOGICAL APPLICATIONS, 2020, 27 (04)
  • [6] Transformer-enhanced spatiotemporal neural network for post-processing of precipitation forecasts
    Jiang, Mingheng
    Weng, Bin
    Chen, Jiazhen
    Huang, Tianqiang
    Ye, Feng
    You, Lijun
    [J]. JOURNAL OF HYDROLOGY, 2024, 630
  • [7] Statistical post-processing of dual-resolution ensemble forecasts
    Baran, Sandor
    Leutbecher, Martin
    Szabo, Marianna
    Ben Bouallegue, Zied
    [J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2019, 145 (721) : 1705 - 1720
  • [8] Regime-dependent statistical post-processing of ensemble forecasts
    Allen, Sam
    Ferro, Christopher A. T.
    Kwasniok, Frank
    [J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2019, 145 (725) : 3535 - 3552
  • [9] Statistical post-processing of ensemble forecasts of the height of new snow
    Nousu, Jari-Pekka
    Lafaysse, Matthieu
    Vernay, Matthieu
    Bellier, Joseph
    Evin, Guillaume
    Joly, Bruno
    [J]. NONLINEAR PROCESSES IN GEOPHYSICS, 2019, 26 (03) : 339 - 357
  • [10] Combining predictive distributions for the statistical post-processing of ensemble forecasts
    Baran, Sandor
    Lerch, Sebastian
    [J]. INTERNATIONAL JOURNAL OF FORECASTING, 2018, 34 (03) : 477 - 496
12345