Articles | Volume 18, issue 1
https://doi.org/10.5194/gmd-18-101-2025
https://doi.org/10.5194/gmd-18-101-2025
Model description paper
 | 
14 Jan 2025
Model description paper |  | 14 Jan 2025

Orbital-Radar v1.0.0: a tool to transform suborbital radar observations to synthetic EarthCARE cloud radar data

Lukas Pfitzenmaier, Pavlos Kollias, Nils Risse, Imke Schirmacher, Bernat Puigdomenech Treserras, and Katia Lamer

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2024-129', Anonymous Referee #1, 08 Sep 2024
    • CC1: 'Reply on RC1', Lukas Pfitzenmaier, 29 Oct 2024
    • AC3: 'Reply on RC1', Lukas Pfitzenmaier, 29 Oct 2024
  • RC2: 'Comment on gmd-2024-129', Anonymous Referee #2, 30 Sep 2024
    • AC4: 'Reply on RC2', Lukas Pfitzenmaier, 29 Oct 2024
  • RC3: 'Comment on gmd-2024-129', Eleni Marinou, 11 Oct 2024
  • CEC1: 'Comment on gmd-2024-129', Juan Antonio Añel, 29 Oct 2024
    • AC1: 'Reply on CEC1', Lukas Pfitzenmaier, 29 Oct 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Lukas Pfitzenmaier on behalf of the Authors (30 Oct 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (04 Nov 2024) by Jason Williams
AR by Lukas Pfitzenmaier on behalf of the Authors (05 Nov 2024)  Author's response   Manuscript 
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Short summary
The Python tool Orbital-Radar transfers suborbital radar data (ground-based, airborne, and forward-simulated numerical weather prediction model) into synthetic spaceborne cloud profiling radar data, mimicking platform-specific instrument characteristics, e.g. EarthCARE or CloudSat. The tool's novelty lies in simulating characteristic errors and instrument noise. Thus, existing data sets are transferred into synthetic observations and can be used for satellite calibration–validation studies.