Articles | Volume 16, issue 21
Atmos. Chem. Phys., 16, 13681–13696, 2016
Atmos. Chem. Phys., 16, 13681–13696, 2016

Research article 04 Nov 2016

Research article | 04 Nov 2016

Evaluation of cloud effects on air temperature estimation using MODIS LST based on ground measurements over the Tibetan Plateau

Hongbo Zhang et al.

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Cited articles

Ackerman, S. A., Strabala, K. I., Menzel, W. P., Frey, R. A., Moeller, C. C., and Gumley, L. E.: Discriminating clear sky from clouds with MODIS, J. Geophys. Res.-Atmos., 103, 32141–32157,, 1998.
Ackerman, S. A., Holz, R. E., Frey, R., Eloranta, E. W., Maddux, B. C., and McGill, M.: Cloud Detection with MODIS. Part II: Validation, J. Atmos. Ocean. Tech., 25, 1073–1086,, 2008.
AsiaFlux: Qinghai Flux Research Site, available at:, last access: June 2016.
Benali, A., Carvalho, A. C., Nunes, J. P., Carvalhais, N., and Santos, A.: Estimating air surface temperature in Portugal using MODIS LST data, Remote Sens. Environ., 124, 108–121,, 2012.
Chinese Meteorology Administration: China daily ground climate dataset, available at:, last access: April 2014.
Short summary
Based on MODIS LST, clouds are believed to affect Tair estimation; however, understanding of the cloud effect on the Tair–LST relationship remains limited. Our paper reveals the subtle influence of clouds that affects Tmin and Tmax estimation in clearly different ways. The results contribute to better understanding of cloud effects and more accurate estimation of Tair using satellite LST.
Final-revised paper