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

Data sets

EarthCARE level-2 demonstration products from simulated scenes G.-J. van Zadelhoff, H. W. Barker, E. Baudrez, S. Bley, N. Clerbaux, J. N. S. Cole, J. de Kloe, N. Docter, C. Domenech, D. P. Donovan, J.-L. Dufresne, M. Eisinger, J. Fischer, R. García-Marañón, M. Haarig, R. J. Hogan, A. Hünerbein, P. Kollias, R. Koopman, N. Madenach, S. L. Mason, R. Preusker, B. Puigdomènech Treserras, Z. Qu, M. Ruiz-Saldaña, M. Shephard, A. Velázquez-Blazquez, N. Villefranque, U. Wandinger, P. Wang, and T. Wehr https://doi.org/10.5281/zenodo.7117115

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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.