Articles | Volume 11, issue 2
https://doi.org/10.5194/amt-11-907-2018
https://doi.org/10.5194/amt-11-907-2018
Research article
 | 
15 Feb 2018
Research article |  | 15 Feb 2018

Assessment of surface solar irradiance derived from real-time modelling techniques and verification with ground-based measurements

Panagiotis G. Kosmopoulos, Stelios Kazadzis, Michael Taylor, Panagiotis I. Raptis, Iphigenia Keramitsoglou, Chris Kiranoudis, and Alkiviadis F. Bais

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Cited articles

Aebi, C., Gröbner, J., Kämpfer, N., and Vuilleumier, L.: Cloud radiative effect, cloud fraction and cloud type at two stations in Switzerland using hemispherical sky cameras, Atmos. Meas. Tech., 10, 4587–4600, https://doi.org/10.5194/amt-10-4587-2017, 2017. 
Benedetti, A., Moncrette, J. J., Boucher, O., Dethof, A., and the GEMS-AER team: Aerosol analysis and forecast in the ECMWF Integrated Forecast System. Part II: Data assimilation, J. Geophys. Res., 114, D13205, https://doi.org/10.1029/2008JD011115, 2009. 
Bengulescu, M., Blanc, P., and Wald, L.: On the temporal variability of the surface solar radiation by means of spectral representations, Adv. Sci. Res., 13, 121–127, https://doi.org/10.5194/asr-13-121-2016, 2016. 
Beyer, H. G., Polo Martinez, J., Suri, M., Torees, J. L., Lorenz, E., Muller, S. C., Hoyer-Klick, C., and Ineichen, P.: Report on benchmarking of radiation products, Report under no 038665 of MESoR, available at: http://www.mesor.net/deliverables.html (last access: 27 July 2017), 2009. 
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Short summary
Continuous monitoring of solar energy from space is critical for its efficient exploitation and distribution. For this reason we developed neural-network- and function-based real-time models, which are capable of producing massive radiation outputs in high spectral, spatial and temporal resolution. The models' performance against ground-based measurements revealed a dependence on input quality and resolution, and an overall accuracy under cloudless and high solar energy potential conditions.