Articles | Volume 11, issue 8
https://doi.org/10.5194/gmd-11-3147-2018
https://doi.org/10.5194/gmd-11-3147-2018
Methods for assessment of models
 | 
03 Aug 2018
Methods for assessment of models |  | 03 Aug 2018

The importance of considering sub-grid cloud variability when using satellite observations to evaluate the cloud and precipitation simulations in climate models

Hua Song, Zhibo Zhang, Po-Lun Ma, Steven Ghan, and Minghuai Wang

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Cited articles

Bodas-Salcedo, A., Webb, M. J., Brooks, M. E., Ringer, M. A., Williams, K. D., Milton, S. F., and Wilson, D. R.: Evaluating cloud systems in the Met Office global forecast model using simulated CloudSat radar reflectivities, J. Geophys. Res., 113, D00A13, https://doi.org/10.1029/2007JD009620, 2008. 
Bodas-Salcedo, A., Webb, M. J., Bony, S., Chepfer, H., Dufresne, J.-L., Klein, S. A., Zhang, Y., Marchand, R., Haynes, J. M., Pincus, R., and John, V. O.: COSP: Satellite simulation software for model assessment, B. Am. Meteorol. Soc., 92, 1023–1043, https://doi.org/10.1175/2011BAMS2856.1, 2011. 
Bony, S. and Dufresne, J.-L.: Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models, Geophys. Res. Lett., 32, L20806, https://doi.org/10.1029/2005GL023851, 2005. 
Cho, H. M., Yang, P., Kattawar, G. W., Nasiri, S. L., Hu, Y., Minnis, P., Trepte, C., and Winker, D.: Depolarization ratio and attenuated backscatter for nine cloud types: Analyses based on collocated CALIPSO lidar and MODIS measurements, Opt. Express, 16, 3931–3948, 2008. 
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