Calculating the Climatology and Anomalies of Surface Cloud Radiative Effect Using Cloud Property Histograms and Cloud Radiative Kernels

Abstract Cloud radiative kernels (CRK) built with transfer models have been widely used to analyze the cloud effect on top of atmosphere (TOA) fluxes, and it is expected that CRKs would also be useful in analyses surface which determines regional temperature change variability. In this study, at TOA were using Rapid Radiative Transfer Model (RRTM). Longwave (CRE) primarily driven by base properties, while CRE decided properties. For reason, standard version CRK a function latitude, longitude, month, optical thickness ( τ ) pressure (CBP), (CTP). Considering property histograms provided climate are functions CTP instead CBP present, CBP- converted CTP- fields statistical relationship between CTP, obtained from collocated CloudSat MODIS observations. both model outputs satellites observations, climatology cloud-induced anomalies calculated well correlated those fluxes. The reproduced not affected spurious trends appear Clouds Earth’s Radiant Energy System (CERES) irradiances products.