20 Mar 2023
 | 20 Mar 2023

The Generation of EarthCARE L1 Test Data sets Using Atmospheric Model Data Sets

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

Abstract. The Earth Clouds and Radiation Explorer mission (EarthCARE) is a multi-instrument cloud-aerosol-radiation process study oriented mission embarking a high spectral resolution lidar, a cloud profiling radar, a multi-spectral imager and a three-view broad-band radiometer. An important aspect of the EarthCARE mission is its focus on instrument synergy. Many L2 products are the result of L1 inputs from one or more instruments. Since no existing complete observational proxy-data sets comprised of co-located and co-temporal "EarthCARE-like" data exists, it has been necessary to create synthetic data sets for the testing and development of various retrieval algorithms as well as the data processing chain. Given the synergistic nature of the processing chain, it is important that the test data are physically consistent across the various instruments. Within the EarthCARE project, a version of the EarthCARE simulator multi-instrument framework (ECSIM) has been used to create unified realistic test data frames. These simulations have been driven using high resolution atmospheric model data (described in a companion paper). In this paper, the methods used to create the test data scenes are described. As well, the simulated L1 data corresponding to each scene is presented and discussed.

David Patrick Donovan 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-2023-384', Anonymous Referee #1, 05 Apr 2023
  • RC2: 'Comment on egusphere-2023-384', Anonymous Referee #1, 05 Apr 2023
  • RC3: 'Comment on egusphere-2023-384', Anonymous Referee #2, 04 Jun 2023

David Patrick Donovan et al.

David Patrick Donovan et al.


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Short summary
The Earth Clouds and Radiation Explorer mission (EarthCARE) is an upcoming 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 was used as the basis for creating realistic high-resolution simulated data sets to facilitate this process.