Systematic Evaluation of AIRS Version 6 Thermodynamic Phase, Effective Diameter, and Optical Depth Retrievals
In this work, we will present a thorough and systematic evaluation of the AIRS cloud thermodynamic phase, ice cloud effective diameter, and ice cloud optical thickness retrievals. We will focus on the effects of region, time of year, viewing angle, and effective cloud fraction. (Previous evaluation of the cloud thermodynamic phase algorithm focused on near-nadir scenes only.) This study relies on the space-time gridding approach developed by Smith et al. (2013) to build globally gridded datasets of filtered data. This approach allows us to look at co-relationships between multiple parameters over any time period; robust statistics for even infrequent relationships can be obtained by averaging over the entire AIRS data set.