Processing reflectivity and Doppler velocity from EarthCARE’s cloud profiling radar: the C-FMR, C-CD and C-APC products
Pavlos Kollias, Bernat Puidgomènech Treserras, Alessandro Battaglia, Paloma Borque, Aleksandra Tatarevic
Abstract
Abstract. The Earth Clouds, Aerosols and Radiation (EarthCARE) satellite mission is a joint effort by the European Space Agency (ESA) and the Japanese Aerospace Exploration Agency (JAXA). The EarthCARE mission features the first spaceborne 94-GHz Cloud Profiling Radar (CPR) with Doppler capability. The raw CPR observations and auxiliary information are used as input to three L2 algorithms 1) C-APC: Antenna Pointing Characterization, 2) C-FMR: CPR feature mask and reflectivity and 3) C-CD: Corrected CPR Doppler Measurements. These algorithms apply quality control and corrections to the CPR primary measurements and derive important geophysical variables such as hydrometeor locations, and best estimates of particle sedimentation fall velocities. The C-APC algorithm uses natural targets to introduce any corrections needed to the CPR raw Doppler velocities due to the CPR antenna pointing. The C-FMR product provides the feature mask based on only-reflectivity CPR measurements and quality controlled radar reflectivity profiles corrected for gaseous attenuation at 94 GHz. In addition, C-FMR provides best estimates of the Path Integrated Attenuation (PIA) and flags identifying the presence of multiple scattering in the CPR observations. Finally, the C-CD product provides the quality-controlled, bias-corrected mean Doppler velocity estimates (Doppler measurements corrected for antenna mis-pointing, non-uniform beam filling, and velocity folding). In addition, the best estimate of the particle sedimentation velocity is estimated using a novel technique.