Articles | Volume 13
https://doi.org/10.5194/asr-13-129-2016
https://doi.org/10.5194/asr-13-129-2016
27 Jul 2016
 | 27 Jul 2016

Validation of the new HelioClim-3 version 4 real-time and short-term forecast service using 14 BSRN stations

Claire Thomas, Laurent Saboret, Etienne Wey, Philippe Blanc, and Lucien Wald

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Cited articles

Eissa, Y., Korany, M., Aoun, Y., Boraiy, M., Abdel Wahab, M., Alfaro, S., Blanc, P., El-Metwally, M., Ghedira, H., and Wald, L.: Validation of the surface downwelling solar irradiance estimates of the HelioClim-3 database in Egypt, Remote Sensing, 7, 9269–9291, 2015, https://doi.org/10.3390/rs70709269, 2015.
Gschwind, B., Ménard, L., Albuisson, M., and Wald, L.: Converting a successful research project into a sustainable service: the case of the SoDa Web service, Environ. Modell. Softw., 21, 1555–1561, 2006.
König-Langlo, G., Bücker, A., Richter, F., and Sieger, R.: BSRN snapshot 2014-06 in two ZIP archives (5.63 GB), https://doi.org/10.1594/PANGAEA.833428, 2014.
Lefèvre, M., Oumbe, A., Blanc, P., Espinar, B., Gschwind, B., Qu, Z., Wald, L., Schroedter-Homscheidt, M., Hoyer-Klick, C., Arola, A., Benedetti, A., Kaiser, J. W., and Morcrette, J.-J.: McClear: a new model estimating downwelling solar radiation at ground level in clear-sky conditions, Atmos. Meas. Tech., 6, 2403–2418, https://doi.org/10.5194/amt-6-2403-2013, 2013.
Lefèvre, M., Blanc, P., Espinar, B., Gschwind, B., Ménard, L., Ranchin, T., Wald, L., Saboret, L., Thomas, C., and Wey, E.: The HelioClim-1 database of daily solar radiation at Earth surface: an example of the benefits of GEOSS Data-CORE, IEEE J. Sel. Topics Appl. Earth Observ. in Remote Sens., 7, 1745–1753, https://doi.org/10.1109/JSTARS.2013.2283791, 2014.
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Short summary
HelioClim-3 (version 4) is a satellite-derived solar surface irradiance database available at d-1 until 2015. To fulfill the requirements of numerous users, a new service based on the principle of persistence has been developed; it provides solar data in real time and forecasts until the end of the current day. The service exhibits good performances for 15 min and 1 h ahead forecasts, and degrades as the temporal horizon increases. Several customers have so far purchased this service.