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Satellite Irradiance Based on MACC Aerosols: Helioclim 4 and SolarGIS, Global and Beam Components Validation

Pierre Ineichen-2014-01-01-Archive ouverte UNIGE (University of Geneva)
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TL;DRAbstract

The use of geostationary satellite observations becomes crucial, since they allow the retrieval of irradiance at the surface, with the best spatial and temporal coverage. This study, conducted on data from 12 European sites, over one year, 2013, shows the performance of two of the best irradiance satellite models using MACC project as daily aerosol data input. A preliminary performance analysis of the new McClear clear sky model is also done. Typically, the irradiance is derived with a standard deviation of 18% for the global component, and 38% for the beam with a very low bias.

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The use of geostationary satellite observations becomes crucial, since they allow the retrieval of irradiance at the surface, with the best spatial and temporal coverage. This study, conducted on data from 12 European sites, over one year, 2013, shows the performance of two of the best irradiance satellite models using MACC project as daily aerosol data input. A preliminary performance analysis of the new McClear clear sky model is also done. Typically, the irradiance is derived with a standard deviation of 18% for the global component, and 38% for the beam with a very low bias.

Keywords

IrradianceGeostationary orbitSatelliteEnvironmental scienceSkyAerosolRemote sensingMeteorology

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