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Sensors 2017, 17(1), 86; doi:10.3390/s17010086

An Improved Approach for Estimating Daily Net Radiation over the Heihe River Basin

Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Beijing 100094, China
Author to whom correspondence should be addressed.
Academic Editor: Jason K. Levy
Received: 27 September 2016 / Revised: 6 December 2016 / Accepted: 29 December 2016 / Published: 4 January 2017
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [6301 KB, uploaded 4 January 2017]   |  


Net radiation plays an essential role in determining the thermal conditions of the Earth’s surface and is an important parameter for the study of land-surface processes and global climate change. In this paper, an improved satellite-based approach to estimate the daily net radiation is presented, in which sunshine duration were derived from the geostationary meteorological satellite (FY-2D) cloud classification product, the monthly empirical as and bs Angstrom coefficients for net shortwave radiation were calibrated by spatial fitting of the ground data from 1997 to 2006, and the daily net longwave radiation was calibrated with ground data from 2007 to 2010 over the Heihe River Basin in China. The estimated daily net radiation values were validated against ground data for 12 months in 2008 at four stations with different underlying surface types. The average coefficient of determination (R2) was 0.8489, and the averaged Nash-Sutcliffe equation (NSE) was 0.8356. The close agreement between the estimated daily net radiation and observations indicates that the proposed method is promising, especially given the comparison between the spatial distribution and the interpolation of sunshine duration. Potential applications include climate research, energy balance studies and the estimation of global evapotranspiration. View Full-Text
Keywords: daily net radiation; sunshine duration; cloud classification; FY-2D; Heihe River Basin daily net radiation; sunshine duration; cloud classification; FY-2D; Heihe River Basin

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Wu, B.; Liu, S.; Zhu, W.; Yan, N.; Xing, Q.; Tan, S. An Improved Approach for Estimating Daily Net Radiation over the Heihe River Basin. Sensors 2017, 17, 86.

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