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 Kollias, Bernat Puidgomènech Treserras, Alessandro Battaglia, Paloma Borque, and Aleksandra Tatarevic

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.

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Journal article(s) based on this preprint

12 Apr 2023
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 C. Borque, and Aleksandra Tatarevic
Atmos. Meas. Tech., 16, 1901–1914, https://doi.org/10.5194/amt-16-1901-2023,https://doi.org/10.5194/amt-16-1901-2023, 2023
Short summary
Pavlos Kollias, Bernat Puidgomènech Treserras, Alessandro Battaglia, Paloma Borque, and Aleksandra Tatarevic

Interactive discussion

Status: closed

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

Interactive discussion

Status: closed

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

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Paloma Borque on behalf of the Authors (08 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (12 Mar 2023) by Ulla Wandinger
AR by Paloma Borque on behalf of the Authors (14 Mar 2023)

Journal article(s) based on this preprint

12 Apr 2023
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 C. Borque, and Aleksandra Tatarevic
Atmos. Meas. Tech., 16, 1901–1914, https://doi.org/10.5194/amt-16-1901-2023,https://doi.org/10.5194/amt-16-1901-2023, 2023
Short summary
Pavlos Kollias, Bernat Puidgomènech Treserras, Alessandro Battaglia, Paloma Borque, and Aleksandra Tatarevic
Pavlos Kollias, Bernat Puidgomènech Treserras, Alessandro Battaglia, Paloma Borque, and Aleksandra Tatarevic

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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.