气候变化领域集成服务门户(CCPortal): Random forest predictive model development w i t h uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region

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	Random forest predictive model development w i t h uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region
	Wu, Min 1,2; Feng, Qi1 ; Wen, Xiaohu 1; Deo, Ravinesh C.3; Yin, Zhenliang 1; Yang, Linshan 1; Sheng, Danrui 1,2
发表日期	2020
卷号	v 51 期号:n 4 页码:p 648-665
语种	英语
来源期刊	Hydrology Research
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/239872
作者单位	1.Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou; 730000, China 2.University of Chinese Academy of Sciences, Beijing; 100049, China 3.School of Agricultural, Computational and Environmental Sciences, Centre for Sustainable Agricultural Systems, University of Southern Queensland, Springfield; QLD; 4300, Australia
推荐引用方式 GB/T 7714	Wu, Min,Feng, Qi,Wen, Xiaohu,et al. Random forest predictive model development w i t h uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region[J]. 中国科学院西北生态环境资源研究院,2020,v 51(n 4):p 648-665.
APA	Wu, Min.,Feng, Qi.,Wen, Xiaohu.,Deo, Ravinesh C..,Yin, Zhenliang.,...&Sheng, Danrui.(2020).Random forest predictive model development w i t h uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region.Hydrology Research,v 51(n 4),p 648-665.
MLA	Wu, Min,et al."Random forest predictive model development w i t h uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region".Hydrology Research v 51.n 4(2020):p 648-665.