The HelioClim-1 Database of Daily Solar Radiation at Earth Surface: An Example of the Benefits of GEOSS Data-CORE

Lefèvre, Mireille; Blanc, Philippe; Espinar, Bella; Gschwind, Benoît; Ménard, Lionel; Ranchin, Thierry; Wald, Lucien; Saboret, Laurent; Thomas, Claire; Wey, Etienne

doi:10.1109/jstars.2013.2283791

Cited by 36 publications

(19 citation statements)

References 48 publications

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“…These LUTs are described in detail in Taylor et al (2015) and consist of more than 2.5 million RTM simulations with atmospheric inputs and 1 nm spectral resolution GHI outputs. The interoperable exchange of similar GHI databases is studied by Mé-nard et al (2015), highlighting the usefulness and necessity of such LUT-based approaches (Lefevre et al, 2014). Under clear-sky conditions the simulated by libRadtran input parameters were the solar zenith angle (SZA), the AOD, the Ångström exponent (AE), the single-scattering albedo (SSA), TOC and the columnar water vapour (WV), while under cloudy conditions except from SZA and TOC, we also used the optical thicknesses of water and ice clouds (WCOT and ICOT, respectively) as inputs.…”

Section: Radiative Transfer Modelmentioning

confidence: 99%

“…Earth observation (EO)-based systems and relevant services already play an important role in the solar energy industry, as well as in human-health-related emerging technologies, but there is still significant potential in increasing their efficiency and exploitation (Schroedter-Homscheidt et al, 2006;Wald et al, 2011;Lefevre et al, 2014). EO from space is already triggering services and applications that can deliver benefits throughout all the phases of energy production and supply.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of surface solar irradiance derived from real-time modelling techniques and verification with ground-based measurements

et al. 2018

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Abstract. This study focuses on the assessment of surface solar radiation (SSR) based on operational neural network (NN) and multi-regression function (MRF) modelling techniques that produce instantaneous (in less than 1 min) outputs. Using real-time cloud and aerosol optical properties inputs from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on board the Meteosat Second Generation (MSG) satellite and the Copernicus Atmosphere Monitoring Service (CAMS), respectively, these models are capable of calculating SSR in high resolution (1 nm, 0.05 • , 15 min) that can be used for spectrally integrated irradiance maps, databases and various applications related to energy exploitation. The real-time models are validated against groundbased measurements of the Baseline Surface Radiation Network (BSRN) in a temporal range varying from 15 min to monthly means, while a sensitivity analysis of the cloud and aerosol effects on SSR is performed to ensure reliability under different sky and climatological conditions. The simulated outputs, compared to their common training dataset created by the radiative transfer model (RTM) libRadtran, showed median error values in the range −15 to 15 % for the NN that produces spectral irradiances (NNS), 5-6 % underestimation for the integrated NN and close to zero errors for the MRF technique. The verification against BSRN revealed that the real-time calculation uncertainty ranges from −100 to 40 and −20 to 20 W m −2 , for the 15 min and monthly mean global horizontal irradiance (GHI) averages, respectively, while the accuracy of the input parameters, in terms of aerosol and cloud optical thickness (AOD and COT), and their impact on GHI, was of the order of 10 % as compared to the ground-based measurements. The proposed system aims to be utilized through studies and real-time applications which are related to solar energy production planning and use.

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Section: Radiative Transfer Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of surface solar irradiance derived from real-time modelling techniques and verification with ground-based measurements

et al. 2018

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“…HelioClim-1 is a well-known database of easy access on the Web at no cost with many usages and approximately 400 requests per working day [17]. It will be seen whether the re-analyses offer better accuracy than HelioClim-1.…”

Section: Introductionmentioning

confidence: 99%

Comparison between meteorological re-analyses from ERA-Interim and MERRA and measurements of daily solar irradiation at surface

2015

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International audienceThis paper compares the daily solar irradiation available at surface estimated by the MERRA (Modern-Era Retrospective Analysis for Research and Applications) re-analysis of the NASA and the ERA-Interim re-analysis of the European Center for Medium-range Weather Forecasts (ECMWF) against qualified ground measurements made in stations located in Europe, Africa and Atlantic Ocean. Using the clearness index, also known as atmospheric transmissivity or transmittance, this study evidences that the re-analyses often predict clear sky conditions while actual conditions are cloudy. The opposite is also true though less pronounced: actual clear sky conditions are predicted as cloudy. This overestimation of occurrence of clear sky conditions leads to an overestimation of the irradiation and clearness index by MERRA. The overall overestimation is less pronounced for ERA-Interim because the overestimation observed in clear sky conditions is counter-balanced by underestimation in cloudy conditions. The squared correlation coefficient for clearness index, also known as atmospheric transmissivity, ranges between 0.38 and 0.53, showing that a very large part of the variability in irradiation is not captured by the re-analyses. Within an irradiation homogeneous area, the variability of the bias, root mean square error and correlation coefficient are surprisingly large. MERRA and ERA-Interim should only be used in solar energy with proper understanding of the limitations and uncertainties. In regions where clouds are rare, e.g. North Africa, MERRA or ERA-Interim may be used to provide a gross estimate of monthly or yearly irradiation. Satellite-derived data sets offer less uncertainty and should be preferred

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“…HelioClim-1 is a database derived from images of the first generation series of Meteosat satellites [13]. It was created within the HelioClim project of the MINES ParisTech [14] after preliminary works in 1980's [15] and is widely used in many domains of application [16]. In particular, the SSI in the northern African desert climate and its long-term variations were studied by the means of HelioClim-1 [17].…”

Section: Introductionmentioning

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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The HelioClim-1 Database of Daily Solar Radiation at Earth Surface: An Example of the Benefits of GEOSS Data-CORE

Cited by 36 publications

References 48 publications

Assessment of surface solar irradiance derived from real-time modelling techniques and verification with ground-based measurements

Assessment of surface solar irradiance derived from real-time modelling techniques and verification with ground-based measurements

Comparison between meteorological re-analyses from ERA-Interim and MERRA and measurements of daily solar irradiation at surface

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

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