Converting a successful research project into a sustainable service: The case of the SoDa Web service

Gschwind, Benoît; Ménard, Lionel; Albuisson, Michel; Wald, Lucien

doi:10.1016/j.envsoft.2006.05.002

Cited by 70 publications

(61 citation statements)

References 8 publications

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“…These databases are available on the SoDa Service (www.soda-is.com) where data can be downloaded easily (Gschwind et al, 2006). The whole database HC-1 is available for free on the SoDa Service.…”

Section: The Helioclim Databasesmentioning

confidence: 99%

The Performances of the Helioclim Databases in Mozambique

Wald¹,

Blanc²,

Lefèvre³

et al. 2011

Proceedings of the ISES Solar World Congress 2011

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Section: The Helioclim Databasesmentioning

confidence: 99%

The Performances of the Helioclim Databases in Mozambique

Wald¹,

Blanc²,

Lefèvre³

et al. 2011

Proceedings of the ISES Solar World Congress 2011

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“…This service was established in an operational way in 2003 [23] and is now widely used by communities interested in solar radiation: more than 50,000 users in 2010. Data can be retrieved by users using a standard internet browser.…”

Section: What Are the Challenges?mentioning

confidence: 99%

“…HC-1 and HC-3 values were extracted for a few pixels over the ocean. We have computed the mean difference between HC-3 and HC-1 for the 23 It follows from the above discussion that a discrepancy can be expected when associating time-series of the two databases whose magnitude is a difficult-to-predict function of space and time. (a) (b) Figure 6 depicts the yearly means of SSI for the sites Aswan and Bulawayo.…”

Section: Merging Hc-1 and Hc-3mentioning

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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“…an application that can be invoked via the Web [33,34]. The Heliosat-2 method provides estimates of the GHI only.…”

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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Converting a successful research project into a sustainable service: The case of the SoDa Web service

Abstract: . Converting a successful research project into a sustainable service: the case of the SoDa web service. Environmental Modelling and Software, Elsevier, 2006, 21, pp

Cited by 70 publications

References 8 publications

The Performances of the Helioclim Databases in Mozambique

The Performances of the Helioclim Databases in Mozambique

The HelioClim Project: Surface Solar Irradiance Data for Climate Applications

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

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