Recently, we have developed a satellite retrieval simulator based on the combination of radiative transfer models (both 1-D and 3-D) and large-eddy simulation (LES) model to simulate MODIS-like and POLDER-like MBL cloud property retrievals. Using this simulator, in combination with satellite observations from A-Train sensors, we investigated how cloud horizontal inhomogeneity and warm rain processes influence the passive remote sensing of MBL cloud droplet size. We found that, the cloud horizontal inhomogeneity can lead to various 3-D radiative transfer effects [Zhang and Platnick, 2011; Zhang et al., 2012] that affect the spectral and polarization methods to different degrees and in different ways. We also found that the warm rain process can induce changes in cloud vertical structure and cloud droplet size distribution, which in turn affects the cloud droplet size retrievals from passive sensors.
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Zhang, Z., A. S. Ackerman, G. Feingold, S. Platnick, R. Pincus, and H. Xue (2012), Effects of cloud horizontal inhomogeneity and drizzle on remote sensing of cloud droplet effective radius: Case studies based on large-eddy simulations, J Geophys Res, 117(D19), D19208, doi:10.1029/2012JD017655.
Zhang, Z., and S. Platnick (2011), An assessment of differences between cloud effective particle radius retrievals for marine water clouds from three MODIS spectral bands, J Geophys Res, 116(D20), D20215, doi:10.1029/2011JD016216.