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Volume 16, issue 5
Atmos. Chem. Phys., 16, 3399–3412, 2016
https://doi.org/10.5194/acp-16-3399-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: HD(CP)2 Observational Prototype Experiment (AMT/ACP...

Atmos. Chem. Phys., 16, 3399–3412, 2016
https://doi.org/10.5194/acp-16-3399-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 15 Mar 2016

Research article | 15 Mar 2016

Evaluating the spatio-temporal performance of sky-imager-based solar irradiance analysis and forecasts

Thomas Schmidt et al.

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Cited articles

Bernecker, D., Riess, C., Angelopoulou, E., and Hornegger, J.: Continuous short-term irradiance forecasts using sky images, Sol. Energy, 110, 303–315, https://doi.org/10.1016/j.solener.2014.09.005, 2014.
Blanc, P. and Wald, L.: A Library for Computing the Relative Position of the Sun and the Earth, Tech. rep., GMES, Paris, France, 2011.
Bouguet, J.-Y.: Pyramidal implementation of the affine lucas kanade feature tracker description of the algorithm, Intel Corporation, 5, 1–10, 2001.
Bourges, B. D.: Yearly variations of the Linke turbidity factor, in: Climatic Data Handbook of Europe, Kluwer Academic Publishing, Dordrecht, the Netherlands, 61–64, 1992.
Cazorla, A.: Development of a Sky Imager for Cloud Classification and Aerosol Characterization, PhD thesis, Universidad de Granada, Granada, Spain, 2010.
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We performed an irradiance forecast experiment based on analysis of hemispheric sky images and evaluated results on a large data set of 99 pyranometers distributed over 10 × 12 km. We developed a surface irradiance retrieval from cloud information derived from the images. Very high resolution forecasts were processed up to 25 min. A main finding is that forecast skill is enhanced in complex cloud conditions leading to high variability in surface irradiance.
We performed an irradiance forecast experiment based on analysis of hemispheric sky images and...
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