A187-0009
Radar vs. passive satellite determinations of Probability of Precipitation(POP)

Tuesday, 15 December 2020
Poster
Jihu Liu1, Minghuai Wang1, Daniel Rosenfeld2 and Yannian Zhu3, (1)Nanjing University, Nanjing, China, (2)Hebrew University of Jerusalem, Jerusalem, Israel, (3)Meteorological Institute of Shaanxi Province, Xi'an, China
Abstract:
Proper identification of precipitating clouds in marine low clouds can significantly advance our understanding on aerosol-cloud-precipitation interactions. Freud and Rosenfeld (2012) showed that coalescence rate of droplet increases sharply when cloud effective radius (Re) exceeds 14 μm, leading to rain formation. However, there is a large difference between the fraction of clouds with Re>14 μm and CloudSat-observed precipitation probability, as the former is significantly larger than the latter. Here we use A-Train satellite observations to show three possible reasons for the apparent discrepancy: 1) Re>14 μm means that the cloud will precipitate somewhere (some area under the cloud) and sometime during its life cycle, while CloudSat-observed precipitation probability represents the precipitating fraction of the cloud area. This difference explains why the fraction of clouds with Re>14 μm is much larger than CloudSat-observed precipitation probability; 2) MODIS-derived Re based on 2.1 μm channel has been overestimated compared to surface in situ observations; 3) CloudSat reaches its detection limit on shallow clouds when cloud liquid water path is smaller than 250 g·m-2.