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Propagation of climate model biases to biophysical modelling can complicate assessments of climate change impact in agricultural systems 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (1) : 424-444
作者:  Liu, De Li;  Wang, Bin;  Evans, Jason;  Ji, Fei;  Waters, Cathy;  Macadam, Ian;  Yang, Xihua;  Beyer, Kathleen
收藏  |  浏览/下载:8/0  |  提交时间:2019/04/09
APSIM  bias correction  bias propagation  bio-physical crop model  NARCliM  rainfall intensity  rainfall probability  RCMs  wheat cropping system  
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:5/0  |  提交时间:2019/04/09
GCMs  machine learning  multi-model ensemble  random forest  support vector machine