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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 13, issue 10
Atmos. Chem. Phys., 13, 5351-5367, 2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 13, 5351-5367, 2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 28 May 2013

Research article | 28 May 2013

CLARA-A1: a cloud, albedo, and radiation dataset from 28 yr of global AVHRR data

K.-G. Karlsson1, A. Riihelä2, R. Müller3, J. F. Meirink4, J. Sedlar1, M. Stengel3, M. Lockhoff3, J. Trentmann3, F. Kaspar3, R. Hollmann3, and E. Wolters4,* K.-G. Karlsson et al.
  • 1Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
  • 2Finnish Meteorological Institute (FMI), Helsinki, Finland
  • 3Deutscher Wetterdienst (DWD), Offenbach, Germany
  • 4Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
  • *now at: HKV Consultants, Lelystad, the Netherlands

Abstract. A new satellite-derived climate dataset – denoted CLARA-A1 ("The CM SAF cLoud, Albedo and RAdiation dataset from AVHRR data") – is described. The dataset covers the 28 yr period from 1982 until 2009 and consists of cloud, surface albedo, and radiation budget products derived from the AVHRR (Advanced Very High Resolution Radiometer) sensor carried by polar-orbiting operational meteorological satellites. Its content, anticipated accuracies, limitations, and potential applications are described. The dataset is produced by the EUMETSAT Climate Monitoring Satellite Application Facility (CM SAF) project.

The dataset has its strengths in the long duration, its foundation upon a homogenized AVHRR radiance data record, and in some unique features, e.g. the availability of 28 yr of summer surface albedo and cloudiness parameters over the polar regions. Quality characteristics are also well investigated and particularly useful results can be found over the tropics, mid to high latitudes and over nearly all oceanic areas.

Being the first CM SAF dataset of its kind, an intensive evaluation of the quality of the datasets was performed and major findings with regard to merits and shortcomings of the datasets are reported. However, the CM SAF's long-term commitment to perform two additional reprocessing events within the time frame 2013–2018 will allow proper handling of limitations as well as upgrading the dataset with new features (e.g. uncertainty estimates) and extension of the temporal coverage.

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