Performance of CAMS Radiation Service and HelioClim-3 databases of solar radiation at surface: evaluating the spatial variation in Germany - Mines Paris Accéder directement au contenu
Article Dans Une Revue Advances in Science and Research Année : 2020

Performance of CAMS Radiation Service and HelioClim-3 databases of solar radiation at surface: evaluating the spatial variation in Germany

Mathilde Marchand
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Laurent Saboret
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Etienne Wey
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Lucien Wald

Résumé

The present work deals with the spatial consistency of two well-known databases of solar radiation received at ground level: the CAMS Radiation Service database version 3.2, abbreviated as CAMS-Rad and the HelioClim-3 database version 5, abbreviated as HC3v5. Both databases are derived from satellite images. They are validated against 10 min means of irradiance for the period 2010-2018 recorded in a network of 26 ground stations in Germany operated by the Deutscher Wetterdienst (DWD). For the CAMS-Rad database, the correlation coefficient between ground measurements and estimates ranges between 0.83 and 0.92 for all sky conditions. The bias ranges from − 41 and 32 W m −2 (−11 % and 10 % of the mean irradiance). The standard deviation ranges between 89 and 129 W m −2 (25 % and 39 %). For the HC3v5 database, the correlation coefficient ranges between 0.90 and 0.95. The bias and the standard deviation are comprised between −22 and 16 W m −2 (−6 % and 5 %), and between respectively 70 and 104 W m −2 (20 % and 31 %). For the CAMS Rad database, overestimation is observed in the South, and underestimation in the North with a faint tendency of the bias to increase from East to West. For the HC3v5 database, the bias is fairly homogeneous across Germany. For both databases, there is no noticeable spatial trend in the standard deviation.
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Dates et versions

hal-02899211 , version 1 (15-07-2020)

Identifiants

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Mathilde Marchand, Yves-Marie Saint-Drenan, Laurent Saboret, Etienne Wey, Lucien Wald. Performance of CAMS Radiation Service and HelioClim-3 databases of solar radiation at surface: evaluating the spatial variation in Germany. Advances in Science and Research, 2020, 17, pp.143 - 152. ⟨10.5194/asr-17-143-2020⟩. ⟨hal-02899211⟩
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