Deriving global parameter estimates for the Noah land surface model using FLUXNET and machine learning

标题
Deriving global parameter estimates for the Noah land surface model using FLUXNET and machine learning
作者
关键词
-
出版物
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
Volume 121, Issue 22, Pages 13,218-13,235
出版商
American Geophysical Union (AGU)
发表日期
2016-10-19
DOI
10.1002/2016jd024821

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