Evaluating Different Machine Learning Methods for Upscaling Evapotranspiration from Flux Towers to the Regional Scale-Reference-Cited by-同舟云学术

Evaluating Different Machine Learning Methods for Upscaling Evapotranspiration from Flux Towers to the Regional Scale

Published:2018-08-27 Issue:16 Volume:123 Page:8674-8690
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Xu Tongren¹^ORCID,Guo Zhixia¹,Liu Shaomin¹^ORCID,He Xinlei¹,Meng Yangfanyu¹,Xu Ziwei¹,Xia Youlong²,Xiao Jingfeng³^ORCID,Zhang Yuan¹,Ma Yanfei⁴^ORCID,Song Lisheng⁵^ORCID

Affiliation:

1. State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Natural Resources, Faculty of Geographical Science; Beijing Normal University; Beijing China

2. I. M. Systems Group at Environmental Modeling Center (EMC), National Centers for Environmental Prediction (NCEP); College Park MD USA

3. Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space; University of New Hampshire; Durham NH USA

4. Department of Geography; Handan College; Handan China

5. School of Geographical Sciences; Southwest University; Chongqing China

Funder

National Aeronautics and Space Administration

National Basic Research Program of China

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2018JD028447/fullpdf

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