At the same time Bayesian Cloud Mask is a recognized, and accepted by many users, operational algorithm for NOAA AVHRR and GOES projects. The Bayesian approach employs in development phase the comparison of tests with proxy data from CALIOP. This resulted in an improved cloud detection
We are researching a new way to determine Cloud Type by using a Bayesian approach at the same moment with a Cloud Mask, which is considered to be more accurate at the difficult conditions, such as overlapping, etc. It would be especially beneficial because the Cloud Phase uses essentially the same tests as the Cloud Mask.