Articles | Volume 16, issue 21
https://doi.org/10.5194/amt-16-5327-2023
https://doi.org/10.5194/amt-16-5327-2023
Research article
 | 
10 Nov 2023
Research article |  | 10 Nov 2023

The generation of EarthCARE L1 test data sets using atmospheric model data sets

David P. Donovan, Pavlos Kollias, Almudena Velázquez Blázquez, and Gerd-Jan van Zadelhoff

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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 egusphere-2023-384', Anonymous Referee #1, 05 Apr 2023
    • AC1: 'Reply on RC1', David Donovan, 30 Jun 2023
  • RC2: 'Comment on egusphere-2023-384', Anonymous Referee #1, 05 Apr 2023
    • AC2: 'Reply on RC2', David Donovan, 30 Jun 2023
  • RC3: 'Comment on egusphere-2023-384', Anonymous Referee #2, 04 Jun 2023
    • AC3: 'Reply on RC2', David Donovan, 30 Jun 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by David Donovan on behalf of the Authors (17 Jul 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (20 Jul 2023) by Ulla Wandinger
RR by Anonymous Referee #1 (20 Jul 2023)
RR by Anonymous Referee #2 (03 Sep 2023)
ED: Publish subject to technical corrections (04 Sep 2023) by Ulla Wandinger
AR by David Donovan on behalf of the Authors (12 Sep 2023)  Manuscript 
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Short summary
The Earth Cloud, Aerosol and Radiation Explorer mission (EarthCARE) is a multi-instrument cloud–aerosol–radiation-oriented satellite for climate and weather applications. For this satellite mission to be successful, the development and implementation of new techniques for turning the measured raw signals into useful data is required. This paper describes how atmospheric model data were used as the basis for creating realistic high-resolution simulated data sets to facilitate this process.