Articles | Volume 13, issue 1
Methods for assessment of models
29 Jan 2020
Methods for assessment of models |  | 29 Jan 2020

A simulator for the CLARA-A2 cloud climate data record and its application to assess EC-Earth polar cloudiness

Salomon Eliasson, Karl-Göran Karlsson, and Ulrika Willén

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Cited articles

Bodas-Salcedo, A., Webb, M. J., Bony, S., Chepfer, H., Dufresne, J.-L., Klein, S. A., Zhang, Y., Marchand, R., Haynes, J. M., Pincus, R., and John, V. O.: COSP: satellite simulation software for model assessment, B. Am. Meteorol. Soc., 92, 1023–1043,, 2011. a, b
Bugliaro, L., Zinner, T., Keil, C., Mayer, B., Hollmann, R., Reuter, M., and Thomas, W.: Validation of cloud property retrievals with simulated satellite radiances: a case study for SEVIRI, Atmos. Chem. Phys., 11, 5603–5624,, 2011. a
Dybbroe, A., Karlsson, K.-G., and Thoss, A.: NWCSAF AVHRR cloud detection and analysis using dynamic thresholds and radiative modelling – Part I: Algorithm description, J. Appl. Meteorol., 44, 39–54, 2005. a
EC Earth consortium: WCRP CMIP5: The EC-EARTH Consortium EC-EARTH model output collection, available at: (last access: 16 January 2020), 2017. a
Eliasson, S.: CLARA-A2 satellite simulator,, available at: (last access: 22 January 2020), 2019. a
Short summary
This paper describes a new satellite simulator. Its purpose is to simulate the CLARA-A2 climate data record from a climate model atmosphere. We explain how the simulator takes into account the regionally variable cloud detection skill of the observations. The simulator makes use of the long/lat-gridded validation between CLARA-A2 and the CALIOP satellite-borne lidar dataset. Using the EC-Earth climate model, we show a sizable impact on climate model validation, especially at high latitudes.