中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Daily Evaporative Fraction Parameterization Scheme Driven by Day-Night Differences in Surface Parameters: Improvement and Validation

文献类型:SCI/SSCI论文

作者Lu J. ; Tang R. L. ; Tang H. J. ; Li Z. L. ; Zhou G. Q. ; Shao K. ; Bi Y. Y. ; Labed J.
发表日期2014
关键词evaporative fraction day-night differences validation Ameriflux sites remote-sensing data msg-seviri data soil-moisture air-temperature energy-balance net-radiation evapotranspiration estimation regional evapotranspiration shortwave radiation temporal evolution
英文摘要In a previous study, a daily evaporative fraction (EF) parameterization scheme was derived based on day-night differences in surface temperature, air temperature, and net radiation. Considering the advantage that incoming solar radiation can be readily retrieved from remotely sensed data in comparison with surface net radiation, this study simplified the daily EF parameterization scheme using incoming solar radiation as an input. Daily EF estimates from the simplified scheme were nearly equivalent to the results from the original scheme. In situ measurements from six Ameriflux sites with different land covers were used to validate the new simplified EF parameterization scheme. Results showed that daily EF estimates for clear skies were consistent with the in situ EF corrected by the residual energy method, showing a coefficient of determination of 0.586 and a root mean square error of 0.152. Similar results were also obtained for partly clear sky conditions. The non-closure of the measured energy and heat fluxes and the uncertainty in determining fractional vegetation cover were likely to cause discrepancies in estimated daily EF and measured counterparts. The daily EF estimates of different land covers indicate that the constant coefficients in the simplified EF parameterization scheme are not strongly site-specific.
出处Remote Sensing
6
5
4369-4390
收录类别SCI
语种英语
ISSN号2072-4292
源URL[http://ir.igsnrr.ac.cn/handle/311030/29696]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Lu J.,Tang R. L.,Tang H. J.,et al. Daily Evaporative Fraction Parameterization Scheme Driven by Day-Night Differences in Surface Parameters: Improvement and Validation. 2014.

入库方式: OAI收割

来源:地理科学与资源研究所

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