4.7 Article

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

期刊

ATMOSPHERIC CHEMISTRY AND PHYSICS
卷 13, 期 10, 页码 5351-5367

出版社

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/acp-13-5351-2013

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资金

  1. EUMETSAT
  2. national meteorological institute of Germany
  3. national meteorological institute of Sweden
  4. national meteorological institute of Finland
  5. national meteorological institute of the Netherlands
  6. national meteorological institute of Belgium
  7. national meteorological institute of Switzerland
  8. national meteorological institute of United Kingdom

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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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