A new statistical approach for deriving global solar radiation from satellite images

Zarzalejo, Luis F.; Polo, Jesús; Martín, Laura Serrano; Ramírez, Lourdes; Espinar, Bella

doi:10.1016/j.solener.2008.09.006

Cited by 68 publications

(30 citation statements)

References 16 publications

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“…The Heliosat-2 method and its application to the Meteosat images are well presented in [13,28] and the method is not detailed any further. Implementations of the Heliosat-2 method have been used in several places with adaptations [29][30][31]. The influence of uncertainties in input variables on the outcomes of the Heliosat-2 method was discussed by [13,32].…”

Section: The Helioclim-3 Database and The Mcclear Modelmentioning

confidence: 99%

Validation of the Surface Downwelling Solar Irradiance Estimates of the HelioClim-3 Database in Egypt

Eissa

Korany²,

Aoun

et al. 2015

Remote Sensing

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HelioClim-3 (HC3) is a database providing time series of the surface downwelling solar irradiance that are computed from images of the Meteosat satellites. This paper presents the validation results of the hourly global horizontal irradiance (GHI) and direct normal irradiance (DNI), i.e., beam irradiance at normal incidence, of versions four and five of HC3 at seven Egyptian sites. The validation is performed for all-sky conditions, as well as cloud-free conditions. Both versions of HC3 provide similar OPEN ACCESS Remote Sens. 2015, 7 9270 performances whatever the conditions. Another comparison is made with the estimates provided by the McClear database that is restricted to cloud-free conditions. All databases capture well the temporal variability of the GHI in all conditions, McClear being superior for cloud-free cases. In cloud-free conditions for the GHI, the relative root mean square error (RMSE) are fairly similar, ranging from 6% to 15%; both HC3 databases exhibit a smaller bias than McClear. McClear offers an overall better performance for the cloud-free DNI estimates. For all-sky conditions, the relative RMSE for GHI ranges from 10% to 22%, except one station, while, for the DNI, the results are not so good for the two stations with DNI measurements.

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Section: The Helioclim-3 Database and The Mcclear Modelmentioning

confidence: 99%

Validation of the Surface Downwelling Solar Irradiance Estimates of the HelioClim-3 Database in Egypt

Eissa

Korany²,

Aoun

et al. 2015

Remote Sensing

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“…The authors assessed the uncertainty of the derived SSI with respect to ground-based measurements. Implementations of the Heliosat-2 method have been used in several places, benefiting from the free availability of software on internet [12][13][14][15]. The influence of uncertainties in input variables on the outcomes of the Heliosat-2 method was discussed by [16].…”

Section: What Are the Challenges?mentioning

confidence: 99%

The HelioClim Project: Surface Solar Irradiance Data for Climate Applications

et al. 2011

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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.

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“…Hourly time series of global horizontal and direct normal irradiances were computed with the CIEMAT satellite model (Polo, 2009;Zarzalejo et al, 2009;Zarzalejo, 2005) which use the Heliosat-2 (Rigollier et al, 2004) being ρ the instantaneous planetary albedo (that is the reflectance recorded at the sensor on board), and ρ g and ρ c the ground and cloud albedo, respectively.…”

Section: Cloud Index and Ghi Computationmentioning

confidence: 99%

Solar global horizontal and direct normal irradiation maps in Spain derived from geostationary satellites

Polo

2015

Journal of Atmospheric and Solar-Terrestrial Physics

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A new statistical approach for deriving global solar radiation from satellite images

Cited by 68 publications

References 16 publications

Validation of the Surface Downwelling Solar Irradiance Estimates of the HelioClim-3 Database in Egypt

Validation of the Surface Downwelling Solar Irradiance Estimates of the HelioClim-3 Database in Egypt

The HelioClim Project: Surface Solar Irradiance Data for Climate Applications

Solar global horizontal and direct normal irradiation maps in Spain derived from geostationary satellites

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