Multi-model ensemble prediction of pan evaporation based on the Copula Bayesian Model Averaging approach

被引：0
|
作者：
Seifi, Akram [1 ]
Ehteram, Mohammad [2 ]
Soroush, Fatemeh [1 ]
Torabi Haghighi, Ali [3 ]
机构：
[1] Department of Water Science & Engineering, College of Agriculture, Vali-e-Asr University of Rafsanjan, P.O. Box 518, Rafsanjan, Iran
[2] Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan, Iran
[3] Water, Energy and Environmental Engineering Research Unit, University of Oulu, P.O. Box 4300, FIN-90014, Oulu, Finland
来源：
Engineering Applications of Artificial Intelligence | 2022年 / 114卷
关键词：
Uncertainty analysis;
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] Multi-model ensemble prediction of pan evaporation based on the Copula Bayesian Model Averaging approach
    Seifi, Akram
    Ehteram, Mohammad
    Soroush, Fatemeh
    Haghighi, Ali Torabi
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2022, 114
  • [2] Multi-model ensemble hydrologic prediction using Bayesian model averaging
    Duan, Qingyun
    Ajami, Newsha K.
    Gao, Xiaogang
    Sorooshian, Soroosh
    ADVANCES IN WATER RESOURCES, 2007, 30 (05) : 1371 - 1386
  • [3] Multi-model ensemble prediction of terrestrial evapotranspiration across north China using Bayesian model averaging
    Zhu, Gaofeng
    Li, Xin
    Zhang, Kun
    Ding, Zhenyu
    Han, Tuo
    Ma, Jinzhu
    Huang, Chunlin
    He, Jianhua
    Ma, Ting
    HYDROLOGICAL PROCESSES, 2016, 30 (16) : 2861 - 2879
  • [4] Multi-Model Ensemble Simulation of Flood Events using Bayesian Model Averaging
    Zhu, Ruirui
    Zheng, Hongxing
    Wang, Enli
    Zhao, Weimin
    20TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2013), 2013, : 455 - 461
  • [5] Improving Multi-Model Ensemble Forecasts of Tropical Cyclone Intensity Using Bayesian Model Averaging
    Song, Xiaojiang
    Zhu, Yuejian
    Peng, Jiayi
    Guan, Hong
    JOURNAL OF METEOROLOGICAL RESEARCH, 2018, 32 (05) : 794 - 803
  • [6] Improving Multi-Model Ensemble Forecasts of Tropical Cyclone Intensity Using Bayesian Model Averaging
    Xiaojiang SONG
    Yuejian ZHU
    Jiayi PENG
    Hong GUAN
    Journal of Meteorological Research, 2018, 32 (05) : 794 - 803
  • [7] Improving Multi-Model Ensemble Forecasts of Tropical Cyclone Intensity Using Bayesian Model Averaging
    Xiaojiang Song
    Yuejian Zhu
    Jiayi Peng
    Hong Guan
    Journal of Meteorological Research, 2018, 32 : 794 - 803
  • [8] Model independence in multi-model ensemble prediction
    Abramowitz, Gab
    AUSTRALIAN METEOROLOGICAL AND OCEANOGRAPHIC JOURNAL, 2010, 59 : 3 - 6
  • [9] Multi-Model Grand Ensemble Hydrologic Forecasting in the Fu River Basin Using Bayesian Model Averaging
    Qu, Bo
    Zhang, Xingnan
    Pappenberger, Florian
    Zhang, Tao
    Fang, Yuanhao
    WATER, 2017, 9 (02)
  • [10] Complementary use of multi-model climate ensemble and Bayesian model averaging for projecting river hydrology in the Himalaya
    Ahsan, Shafkat
    Bhat, Mohammad Sultan
    Alam, Akhtar
    Farooq, Hakim
    Shiekh, Hilal Ahmad
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (13) : 38898 - 38920
12345