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Open AccessArticle

The Seamless Solar Radiation (SESORA) Forecast for Solar Surface Irradiance—Method and Validation

1
Department for Research and Development, Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach, Germany
2
Faculty of Geography, Philipps-Universität Marburg, Deutschhausstraße 12, 35032 Marburg, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(21), 2576; https://doi.org/10.3390/rs11212576
Received: 11 September 2019 / Revised: 29 October 2019 / Accepted: 29 October 2019 / Published: 2 November 2019
(This article belongs to the Special Issue Remote Sensing of Energy Meteorology)
Due to the integration of fluctuating weather-dependent energy sources into the grid, the importance of weather and power forecasts grows constantly. This paper describes the implementation of a short-term forecast of solar surface irradiance named SESORA (seamless solar radiation). It is based on the the optical flow of effective cloud albedo and available for Germany and parts of Europe. After the clouds are shifted by applying cloud motion vectors, solar radiation is calculated with SPECMAGIC NOW (Spectrally Resolved Mesoscale Atmospheric Global Irradiance Code), which computes the global irradiation spectrally resolved from satellite imagery. Due to the high spatial and temporal resolution of satellite measurements, solar radiation can be forecasted from 15 min up to 4 h or more with a spatial resolution of 0.05 . An extensive validation of this short-term forecast is presented in this study containing two different validations based on either area or stations. The results are very promising as the mean RMSE (Root Mean Square Error) of this study equals 59 W/m 2 (absolute bias = 42 W/m 2 ) after 15 min, reaches its maximum of 142 W/m 2 (absolute bias = 97 W/m 2 ) after 165 min, and slowly decreases after that due to the setting of the sun. After a brief description of the method itself and the method of the validation the results will be presented and discussed. View Full-Text
Keywords: solar surface irradiance; specmagic; optical flow; renewable energies; pyranometer; nowcasting solar surface irradiance; specmagic; optical flow; renewable energies; pyranometer; nowcasting
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MDPI and ACS Style

Urbich, I.; Bendix, J.; Müller, R. The Seamless Solar Radiation (SESORA) Forecast for Solar Surface Irradiance—Method and Validation. Remote Sens. 2019, 11, 2576.

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