Comparison of several satellite-derived  databases of surface solar radiation  against ground measurement in Morocco

Marchand, Mathilde; Ghennioui, Abdellatif; Wey, Etienne; Wald, Lucien

doi:10.5194/asr-15-21-2018

Cited by 26 publications

(17 citation statements)

References 37 publications

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“…The main features in the spatial variations may be explained by the well-known dependence of the solar radiation with the latitude and the altitude. The stations along the northern seashore exhibit greater averages than their inland counterparts, a feature also reported for The Netherlands (Marchand et al, 2019). These differences are due to differences in cloud properties that can have a meteorological origin or can be caused by the interactions between the atmosphere and the underlying surfaces (Kostsov et al, 2018).…”

Section: Resultsmentioning

confidence: 58%

“…eu/supplementary-services (last access: 1 May 2020). Joint validations of the two databases have also been performed for various climates in Europe (Thomas et al, 2016b) and for more specific geographical regions, such as the tropical Atlantic Ocean (Trolliet et al, 2018), Brazil (Thomas et al, 2016a), Egypt (Eissa et al, 2015), Iraq (Ameen et al, 2018), Morocco (Marchand et al, 2018), Oman (Marchand et al, 2017), and The Netherlands (Marchand et al, 2019). The present work adds to the continuous documentation of these two databases and demonstrates that both databases capture the temporal and spatial variability of E and are reliable sources of solar radiation data.…”

Section: Introductionmentioning

confidence: 71%

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Performance of CAMS Radiation Service and HelioClim-3 databases of solar radiation at surface: evaluating the spatial variation in Germany

et al. 2020

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Abstract. The present work deals with the spatial consistency of two well-known databases of solar radiation received at ground level: the CAMS Radiation Service database version 3.2, abbreviated as CAMS-Rad and the HelioClim-3 database version 5, abbreviated as HC3v5. Both databases are derived from satellite images. They are validated against 10 min means of irradiance for the period 2010–2018 recorded in a network of 26 ground stations in Germany operated by the Deutscher Wetterdienst (DWD). For the CAMS-Rad database, the correlation coefficient between ground measurements and estimates ranges between 0.83 and 0.92 for all sky conditions. The bias ranges from −41 and 32 W m−2 (−11 % and 10 % of the mean irradiance). The standard deviation ranges between 89 and 129 W m−2 (25 % and 39 %). For the HC3v5 database, the correlation coefficient ranges between 0.90 and 0.95. The bias and the standard deviation are comprised between −22 and 16 W m−2 (−6 % and 5 %), and between respectively 70 and 104 W m−2 (20 % and 31 %). For the CAMS Rad database, overestimation is observed in the South, and underestimation in the North with a faint tendency of the bias to increase from East to West. For the HC3v5 database, the bias is fairly homogeneous across Germany. For both databases, there is no noticeable spatial trend in the standard deviation.

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Section: Resultsmentioning

confidence: 58%

Section: Introductionmentioning

confidence: 71%

Performance of CAMS Radiation Service and HelioClim-3 databases of solar radiation at surface: evaluating the spatial variation in Germany

et al. 2020

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“…This meteorological phenomenon cannot explain the underestimation. Marchand et al (2019) propose an analysis of the spatial consistency of the uncertainties of the satellite estimates for both CAMS-Rad and HC3v5 for the Netherlands, in par-ticular regarding the sea shore proximity for each station. There was a clear influence of the proximity to the coast for CAMS-Rad with a tendency of underestimate the occurrence of cloud-free conditions leading to an underestimation of the irradiance, observation in line with the results obtained here at Cartmel Sands.…”

Section: Analysis Of the Underestimation Observed At Cartmel Sandsmentioning

confidence: 99%

Assessment of five different methods for the estimation of surface photosynthetically active radiation from satellite imagery at three sites – application to the monitoring of indoor soft fruit crops in southern UK

et al. 2019

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Abstract. This paper assesses several methods for the retrieval of Photosynthetically Active Radiation (PAR) from satellite imagery. The results of five different methods are compared to coincident in-situ measurements collected at three sites in southern UK. PAR retrieval methods are separated into two distinct groups. The first group comprises three methods that compute PAR by multiplying the satellite-retrieved solar broadband irradiance at the surface (SSI) by a constant coefficient. The two methods in the second group are based on more sophisticated modelling of the radiative transfer in the atmosphere involving advanced global aerosol property analyses and physically consistent total column water vapour and ozone produced by the Copernicus Atmosphere Monitoring Service (CAMS). Both methods compute a cloud modification factor from satellite-retrieved SSI. The five methods have been applied to two satellite-retrieved SSI datasets: HelioClim-3 version 5 (HC3v5) and CAMS Radiation Service (CAMS-Rad). Except at the seashore site, Group 2 methods combined with the cloud extinction from the HC3v5 dataset deliver the best results with small biases of −5 to 0 µmol m−2 s−1 (−1 % to 0 % relative to the mean of the measurements), root mean square errors of 130 µmol m−2 s−1 (28 %) and correlation coefficients exceeding 0.945. For all methods, best results are attained with the HC3v5 data set. These results demonstrate that all methods capture the temporal and spatial variability of the PAR irradiation field well, although several methods require a posteriori bias adjustments for reliable results. Combined with such an adjustment, the Udo et Aro method is a good compromise for this geographical area in terms of reliability, tractability and its ability to run in real-time. Overall, the method performing a spectral discretization in cloud-free conditions, combined with the HC3v5 dataset, outperforms other methods and has great potential for supporting an operational system.

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“…see e.g. Muneer and Fairooz, 2002;Foltz et al, 2014), an additional quality control was performed at MINES ParisTech. The quality control comprises several tests of the 2 min DSIS against extremely rare limits and physically possible limits (Korany et al, 2016).…”

Section: The Pirata Networkmentioning

confidence: 99%

Monthly solar radiation in the tropical Atlantic Ocean: Can its spatial variations be captured by the current configuration of the PIRATA moorings?

Trolliet

Wald

2018

Adv. Sci. Res.

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The present work aims at contributing to the proper design of networks of measuring moorings with regard to the downwelling solar irradiance at surface (DSIS). Considering the yearly profiles of the monthly DSIS, this article studies whether the 17 moorings within the existing PIRATA network are well geographically distributed so that they capture the spatial variations of the yearly profiles in the tropical Atlantic Ocean. A clustering technique is performed onto the HelioClim-3v5 satellite-derived gridded dataset of DSIS spanning 12 years, thus yielding 17 zones of similar yearly profiles. It was found that the mean yearly profiles of several zones are similar to the measured ones at the three moorings having enough measurements to perform the comparison. Zones have clear connections with the climatology of the region and circulation regimes. The geographical distribution of the moorings has been analysed with regard to the zoning. In the northern region of the tropical basin, each zone contains at least one PIRATA mooring. Hence, the configuration of the PIRATA network is appropriate to reflect the spatial variations of the yearly profiles in this northern part. In the southern basin, the coverage is less complete; several zones do not contain any PIRATA mooring. Thus, the network does not capture the spatial variations of the yearly profiles and this may induce misinterpretation of the PIRATA measurements at synoptic scales. It was also found that the computation of latitudinal or longitudinal averages of irradiance may be wrong if based solely on measurements from moorings without taking into account the spatial representativeness of a mooring.

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Comparison of several satellite-derived databases of surface solar radiation against ground measurement in Morocco

Cited by 26 publications

References 37 publications

Performance of CAMS Radiation Service and HelioClim-3 databases of solar radiation at surface: evaluating the spatial variation in Germany

Performance of CAMS Radiation Service and HelioClim-3 databases of solar radiation at surface: evaluating the spatial variation in Germany

Assessment of five different methods for the estimation of surface photosynthetically active radiation from satellite imagery at three sites – application to the monitoring of indoor soft fruit crops in southern UK

Monthly solar radiation in the tropical Atlantic Ocean: Can its spatial variations be captured by the current configuration of the PIRATA moorings?

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