Remote Sensing | |
Evaluation of CLM4 Solar Radiation Partitioning Scheme Using Remote Sensing and Site Level FPAR Datasets | |
Kai Wang2  Jiafu Mao1  Robert E. Dickinson2  Xiaoying Shi1  Wilfred M. Post1  Zaichun Zhu3  | |
[1]Environmental Sciences Division, Climate Change Science Institute, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37831, |
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[2] E-Mails: | |
[3]Department of Geological Sciences, The University of Texas at Austin, 1 University Station C1100, Austin, TX 78712, |
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[4] E-Mails: | |
[5]Department of Earth and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, |
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[6] E-Mails: | |
关键词: land surface; solar radiation partitioning; climate modeling; evaluation; | |
DOI : 10.3390/rs5062857 | |
来源: mdpi | |
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【 摘 要 】
This paper examines a land surface solar radiation partitioning scheme,
【 授权许可】
CC BY
© 2013 by the authors; licensee MDPI, Basel, Switzerland
【 预 览 】
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RO202003190035675ZK.pdf | 1978KB | ![]() |