Preprints
https://doi.org/10.5194/egusphere-2022-1284
https://doi.org/10.5194/egusphere-2022-1284
 
30 Nov 2022
30 Nov 2022

Processing reflectivity and Doppler velocity from EarthCARE’s cloud profiling radar: the C-FMR, C-CD and C-APC products

Pavlos Kollias1,2, Bernat Puidgomènech Treserras2, Alessandro Battaglia3,4,5, Paloma Borque2, and Aleksandra Tatarevic6 Pavlos Kollias et al.
  • 1Division of Atmospheric Sciences, Stony Brook University, NY, USA
  • 2Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, Canada
  • 3Politecnico of Turin, Turin, Italy
  • 4Department of Physics and Astronomy, University of Leicester, Leicester, UK
  • 5National Centre for Earth Observation, Leicester, UK
  • 6Meteorogical Research Division, Environment and Climate Change Canada, Dorval, QC, Canada

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.

Pavlos Kollias et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-1284', Anonymous Referee #1, 03 Jan 2023
  • RC2: 'Comment on egusphere-2022-1284', Matthew Lebsock, 04 Jan 2023
  • RC3: 'Comment on egusphere-2022-1284', Anonymous Referee #3, 13 Jan 2023

Pavlos Kollias et al.

Pavlos Kollias et al.

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Short summary
The Earth Clouds, Aerosols and Radiation (EarthCARE) satellite mission developed by European Space Agency (ESA) and the Japan Aerospace Exploration Agency (JAXA) features the first spaceborne 94-GHz Doppler Cloud Profiling Radar (CPR) with Doppler capability. Here, we describe the post-processing algorithms that apply quality control and corrections to CPR measurements, and derive key geophysical variables such as hydrometeor locations and best estimates of particle sedimentation fall velocities.