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Advances in Science and Research Contributions in Applied Meteorology and Climatology
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Volume 8, issue 1
Adv. Sci. Res., 8, 93–97, 2012
https://doi.org/10.5194/asr-8-93-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Adv. Sci. Res., 8, 93–97, 2012
https://doi.org/10.5194/asr-8-93-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  27 Apr 2012

27 Apr 2012

Quality assessment of heterogeneous surface radiation network data

R. Becker and K. Behrens R. Becker and K. Behrens
  • Deutscher Wetterdienst, Meteorologisches Observatorium Lindenberg/Mark, Am Observatorium 12, 15848 Tauche, Germany

Abstract. The DWD national radiation measurement network comprises 82 automatic sites, 29 manned sites with shaded and unshaded pyranometer and the BSRN station at Lindenberg. The quality assessment routinely applied takes into account the basic astronomical and empirical considerations as well as some interdependencies like total to diffuse flux relation and cross checking with sunshine duration.

A more advanced quality assessment approach attempts to routinely utilise timeseries of clear sky radiative transfer simulations for every site. For that purpose a link to cloud coverage obtained from Meteosat second generation geostationary satellite data, highly resolved in time and space, was established. There is a predefined calibration cycle of 30 month for automatic stations. Data analysis on this timescale allows for the detection of sensor degradation, wrong calibration or configuration and other possible local disturbances. Furthermore using satellite cloud mask enables the identification of larger clear sky regions characterized by similar atmospheric conditions. Thus, in a regionalization step correction or recalibration of moderate quality data to a higher level can be considered.

The paper provides an overview of DWD surface radiation network and the current activities to improve automatic quality assessment using remotely sensed data and clear sky modeling for the upgrading of radiation data.

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