Post-processing hydrological ensemble predictions intercomparison experiment

被引:28
|
作者
van Andel, Schalk Jan [1 ]
Weerts, Albrecht [2 ]
Schaake, John
Bogner, Konrad [3 ,4 ]
机构
[1] UNESCO IHE Inst Water Educ, Delft, Netherlands
[2] Deltares, Delft, Netherlands
[3] Commiss European Communities, Joint Res Ctr, I-21020 Ispra, Italy
[4] ECMWF, Reading, Berks, England
关键词
hydrological ensemble prediction system; intercomparison experiment; post-processing; FORECASTING SYSTEM;
D O I
10.1002/hyp.9595
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
As part of this special issue on hydrological ensemble prediction systems, this paper reports on the intercomparison experiment for post-processing techniques that has been initiated in 2011 by the International Community on Hydrologic Ensemble Predictions. The design of this intercomparison experiment and the data sets available are presented. The post-processing methods that have been applied to date are listed and example results are shown. It is expected that through the exchange and joint verification and analysis of the post-processing results, the intercomparison experiment will contribute to a fast improvement and applicability of post-processing techniques. Readers are invited to join the intercomparison experiment. Copyright (C) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码:158 / 161
页数:4
相关论文
共 50 条
  • [41] Ensemble weather forecast post-processing with a flexible probabilistic neural network approach
    Mlakar, Peter
    Merse, Janko
    Pucer, Jana Faganeli
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2024, 150 (764) : 4156 - 4177
  • [42] Comparison of multivariate post-processing methods using global ECMWF ensemble forecasts
    Lakatos, Mária
    Lerch, Sebastian
    Hemri, Stephan
    Baran, Sándor
    arXiv, 2022,
  • [43] Evaluation of ensemble precipitation forecasts generated through post-processing in a Canadian catchment
    Jha, Sanjeev K.
    Shrestha, Durga L.
    Stadnyk, Tricia A.
    Coulibaly, Paulin
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2018, 22 (03) : 1957 - 1969
  • [44] Ensemble post-processing is a promising method to obtain flexible distributed lag models
    Simons, Koen
    De Smedt, Tom
    Van Nieuwenhuyse, An
    Buyl, Ronald
    Coomans, Danny
    AIR QUALITY ATMOSPHERE AND HEALTH, 2016, 9 (07): : 835 - 846
  • [45] Ensemble post-processing using member-by-member approaches: theoretical aspects
    Van Schaeybroeck, Bert
    Vannitsem, Stephane
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2015, 141 (688) : 807 - 818
  • [46] Ensemble forecast post-processing over Belgium: comparison of deterministic-like and ensemble regression methods
    Vannitsem, Stephane
    Hagedorn, Renate
    METEOROLOGICAL APPLICATIONS, 2011, 18 (01) : 94 - 104
  • [47] Comparison of multivariate post-processing methods using global ECMWF ensemble forecasts
    Lakatos, Maria
    Lerch, Sebastian
    Hemri, Stephan
    Baran, Sandor
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2023, 149 (752) : 856 - 877
  • [48] A simple post-processing method to correct species predictions in artificially thickened turbulent flames
    Gruhlke, Pascal
    Inanc, Eray
    Mercier, Renaud
    Fiorina, Benoit
    Kempf, Andreas M.
    PROCEEDINGS OF THE COMBUSTION INSTITUTE, 2021, 38 (02) : 2977 - 2984
  • [50] Skill of medium-range hydrological ensemble predictions
    Roulin, E
    Vannitsem, S
    JOURNAL OF HYDROMETEOROLOGY, 2005, 6 (05) : 729 - 744