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High-resolution mapping of daily climate variables by aggregating multiple spatial data sets with the random forest algorithm over the conterminous United States 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (6) : 2964-2983
作者:  Hashimoto, Hirofumi;  Wang, Weile;  Melton, Forrest S.;  Moreno, Adam L.;  Ganguly, Sangram;  Michaelis, Andrew R.;  Nemani, Ramakrishna R.
收藏  |  浏览/下载：10/0  |  提交时间：2019/11/26
daily surface climate  machine learning  NEX-GDM  precipitation  random forest  solar radiation and wind speed  temperature  
Using multi-model ensembles of CMIP5 global climate models to reproduce observed monthly rainfall and temperature with machine learning methods in Australia 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (13) : 4891-4902
作者:  Wang, Bin;  Zheng, Lihong;  Liu, De Li;  Ji, Fei;  Clark, Anthony;  Yu, Qiang
收藏  |  浏览/下载：3/0  |  提交时间：2019/04/09
GCMs  machine learning  multi-model ensemble  random forest  support vector machine  
Evaporation modelling using different machine learning techniques 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37
作者:  Wang, Lunche;  Kisi, Ozgur;  Hu, Bo;  Bilal, Muhammad;  Zounemat-Kermani, Mohammad;  Li, Hui
收藏  |  浏览/下载：11/0  |  提交时间：2019/04/09
pan evaporation  fuzzy genetic algorithm  ANFIS-GP  M5 model tree  cross-station application