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Exploring the value of machine learning for weighted multi-model combination of an ensemble of global hydrological models. 智库出版物
2019
作者:  Zaherpour J;  Mount N;  Gosling S;  Dankers R;  Eisner S;  Gerten D;  Liu X;  Masaki Y
收藏  |  浏览/下载:1/0  |  提交时间:2019/06/18
Machine learning  Model weighting  Gene expression programming  Global hydrological models  Optimisation  
Worldwide evaluation of mean and extreme runoff from six global-scale hydrological models that account for human impacts. 智库出版物
2018
作者:  Zaherpour J;  Gosling SN;  Mount N;  Schmied HM;  Veldkamp TIE;  Dankers R;  Eisner S;  Gerten D
Adobe PDF(3995Kb)  |  收藏  |  浏览/下载:0/0  |  提交时间:2019/06/18
Intercomparison of global river discharge simulations focusing on dam operation --- Part II: Multiple models analysis in two case-study river basins, Missouri-Mississippi and Green-Colorado. 智库出版物
2017
作者:  Masaki Y;  Hanasaki N;  Biemans H;  Müller Schmied H;  Tang Q;  Wada Y;  Gosling S;  Takahashi K
Adobe PDF(848Kb)  |  收藏  |  浏览/下载:0/0  |  提交时间:2019/06/18
Cross‐scale intercomparison of climate change impacts simulated by regional and global hydrological models in eleven large river basins. 智库出版物
2017
作者:  Hattermann F F;  Krysanova V;  Gosling S N;  Dankers R;  Daggupati P;  Donnelly C;  Flörke M;  Huang S
Adobe PDF(1520Kb)  |  收藏  |  浏览/下载:5/0  |  提交时间:2019/06/18
Calibration  Climate models  Climatology  Hydrology  Rivers  Water management  Watersheds      Climate change impact  Climate variability and climate change  Hydrological changes  Hydrological models  Large-scale impacts  Management applications  Reference condition  Regional hydrological model