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Cloudsat-Based Assessment Of Gpm Microwave Imager Snowfall Observation Capabilities, Giulia Panegrossi, Jean-François Rysman, Daniele Casella, Anna Cinzia Marra, Mark Kulie
Cloudsat-Based Assessment Of Gpm Microwave Imager Snowfall Observation Capabilities, Giulia Panegrossi, Jean-François Rysman, Daniele Casella, Anna Cinzia Marra, Mark Kulie
Department of Geological and Mining Engineering and Sciences Publications
The sensitivity of Global Precipitation Measurement (GPM) Microwave Imager (GMI) high-frequency channels to snowfall at higher latitudes (around 60◦N/S) is investigated using coincident CloudSat observations. The 166 GHz channel is highlighted throughout the study due to its ice scattering sensitivity and polarization information. The analysis of three case studies evidences the important combined role of total precipitable water (TPW), supercooled cloud water,and background surface composition on the brightness temperature (TB) behavior for different snow-producing clouds. A regression tree statistical analysis applied to the entire GMI-CloudSat snowfall dataset indicates which variables influence the 166 GHz polarization difference (166∆TB)and its …