Preprints
https://doi.org/10.5194/gmd-2024-129
https://doi.org/10.5194/gmd-2024-129
Submitted as: model description paper
 | 
03 Sep 2024
Submitted as: model description paper |  | 03 Sep 2024
Status: a revised version of this preprint was accepted for the journal GMD and is expected to appear here in due course.

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

Abstract. The Earth Cloud, Aerosol and Radiation Explorer (EarthCARE) satellite developed by the European Space Agency (ESA) and the Japan Aerospace Exploration Agency (JAXA) launched in May 2024 carries a novel 94-GHz Cloud Profiling Radar (CPR) with Doppler capability. This work describes the open-source instrument simulator Orbital-Radar, which transforms high-resolution radar data from field observations or forward simulations of numerical models to CPR primary measurements and uncertainties. The transformation accounts for sampling geometry and surface effects. We demonstrate Orbital-Radar's ability to provide realistic CPR views of typical cloud and precipitation scenes. These results provide valuable insights into the capabilities and challenges of the EarthCARE CPR mission and its advantages over the CloudSat CPR. Finally, Orbital-Radar allows for the evaluation of kilometer-scale numerical weather prediction models with EarthCARE CPR observations.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Lukas Pfitzenmaier, Pavlos Kollias, Nils Risse, Imke Schirmacher, Bernat Puigdomenech Treserras, and Katia Lamer

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

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

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Short summary
Orbital-radar is a Python tool transferring sub-orbital radar data (ground-based, airborne, and forward-simulated NWP) into synthetical space-borne cloud profiling radar data mimicking the platform characteristics, e.g. EarthCARE or CloudSat CPR. The novelty of orbital-radar is the simulation platform characteristic noise floors and errors. By this long time data sets can be transformed into synthetic observations for Cal/Valor sensitivity studies for new or future satellite missions.