%0 Journal Article %1 Blanc2011HelioClim %A Blanc, Philippe %A Gschwind, Benoît %A Lefèvre, Mireille %A Wald, Lucien %D 2011 %J Remote Sensing %K solar climatology dataset energy %N 2 %P 343--361 %R 10.3390/rs3020343 %T The HelioClim Project: Surface Solar Irradiance Data for Climate Applications %U http://dx.doi.org/10.3390/rs3020343 %V 3 %X Meteosat satellite images are processed to yield values of the incoming surface solar irradiance (SSI), one of the Essential Climate Variables. Two HelioClim databases, HC-1 and HC-3, were constructed covering Europe, Africa and the Atlantic Ocean, and contain daily and monthly means of SSI. The HC-1 database spans from 1985 to 2005; HC‑3 began in 2004 and is updated daily. Their quality and limitations in retrieving monthly means of SSI have been studied by a comparison between eleven stations offering long time-series of measurements. A good agreement was observed for each site: bias was less than 10 W/m² in absolute value (5\% in relative value) for HC-3. HC-1 offers a similar quality, though it underestimates the SSI for latitudes greater than 45° and less than −45°. Time-series running from 1985 to date can be created by concatenating the HC-1 and HC-3 values and could help in assessing SSI and its changes.

@article{Blanc2011HelioClim, abstract = {Meteosat satellite images are processed to yield values of the incoming surface solar irradiance (SSI), one of the Essential Climate Variables. Two HelioClim databases, HC-1 and HC-3, were constructed covering Europe, Africa and the Atlantic Ocean, and contain daily and monthly means of SSI. The HC-1 database spans from 1985 to 2005; HC‑3 began in 2004 and is updated daily. Their quality and limitations in retrieving monthly means of SSI have been studied by a comparison between eleven stations offering long time-series of measurements. A good agreement was observed for each site: bias was less than 10 W/m² in absolute value (5\% in relative value) for HC-3. HC-1 offers a similar quality, though it underestimates the SSI for latitudes greater than 45° and less than −45°. Time-series running from 1985 to date can be created by concatenating the HC-1 and HC-3 values and could help in assessing SSI and its changes.}, added-at = {2018-06-18T21:23:34.000+0200}, author = {Blanc, Philippe and Gschwind, Beno\^{i}t and Lef\`{e}vre, Mireille and Wald, Lucien}, biburl = {https://www.bibsonomy.org/bibtex/23deda5f11f291961f4ad7a9b02de3645/pbett}, citeulike-article-id = {8839331}, citeulike-linkout-0 = {http://dx.doi.org/10.3390/rs3020343}, citeulike-linkout-1 = {http://www.mdpi.com/2072-4292/3/2/343}, citeulike-linkout-2 = {http://www.mdpi.com/2072-4292/3/2/343/pdf}, comment = {(private-note)The helioclim website is http://www.helioclim.org}, day = 17, doi = {10.3390/rs3020343}, interhash = {1f6f1bdc8a209799f1be7293555cb694}, intrahash = {3deda5f11f291961f4ad7a9b02de3645}, issn = {2072-4292}, journal = {Remote Sensing}, keywords = {solar climatology dataset energy}, month = feb, number = 2, pages = {343--361}, posted-at = {2013-04-23 15:26:18}, priority = {2}, timestamp = {2018-06-22T18:33:17.000+0200}, title = {The HelioClim Project: Surface Solar Irradiance Data for Climate Applications}, url = {http://dx.doi.org/10.3390/rs3020343}, volume = 3, year = 2011 }