Yearly changes in surface solar radiation in New Caledonia

Blanc, Philippe; Coulaud, Céline; Wald, Lucien

doi:10.5194/asr-12-1-2015

Cited by 6 publications

(4 citation statements)

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“…Solar radiation is an essential variable in the ocean-climate system and the assessment of its intensity and variability in space and time at ground level is the object of many works, see e.g. Bell et al (2009), Bengulescu et al (2016Bengulescu et al ( , 2018, Blanc et al (2011Blanc et al ( , 2015, Lefèvre et al (2007), Wahab et al (2009). Solar radiation is also a crucial factor which influences life on Earth for animals, plants (Bois et al, 2008;Colombo et al, 2009;Wagner et al, 2012) and humans (Juzeniene et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2018

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Abstract. HelioClim-3v4 (HC3v4), HelioClim-3v5 (HC3v5) and the radiation service version 2 of the Copernicus Atmosphere Monitoring Service (CAMS-Rad) are databases that contain hourly values of solar radiation at ground level. These estimated hourly irradiations are compared to coincident measurements made at five stations in Morocco. The correlation coefficients between measurements and estimates are similar for the three databases and around 0.97–0.98 for global irradiation. For the direct irradiation, the correlation coefficients are around 0.70–0.79 for HC3v4, 0.79–0.84 for HC3v5 and 0.78–0.87 for CAMS-Rad. For global irradiation, the bias relative to the average of the measurements is small and ranges between −6 and −1 % for HC3v4, −4 and 0 % for HC3v5, and −4 and 7 % for CAMS-Rad; HC3v4 and HC3v5 exhibit a tendency to slightly underestimate the global irradiation. The root mean square error (RMSE) ranges between 53 (12 %) and 72 Wh m−2 (13 %) for HC3v4, 55 (12 %) and 71 Wh m−2 (13 %) for HC3v5, and 59 (11 %) and 97 Wh m−2 (21 %) for CAMS-Rad. For the direct irradiation, the relative bias ranges between −16 and 21 % for HC3v4, −7 and 22 % for HC3v5, and −18 and 7 % for CAMS-Rad. The RMSE ranges between 170 (28 %) and 210 Wh m−2 (33 %) for HC3v4, 153 (25 %) and 209 Wh m−2 (40 %) for HC3v5, and 159 (26 %) and 244 Wh m−2 (39 %) for CAMS-Rad. HC3v5 captures the temporal and spatial variability of the irradiation field well. The performance is poorer for HC3v4 and CAMS-Rad which exhibit more variability from site to site. As a whole, the three databases are reliable sources on solar radiation in Morocco.

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Section: Introductionmentioning

confidence: 99%

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

et al. 2018

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“…Hourly SSI is the irradiation received during one hour. The SSI plays a major role in many domains such as weather and climate (Abdel Wahab et al, 2009;Blanc et al, 2011Blanc et al, , 2015Lefèvre et al, 2007), ocean (Bell et al, 2009), agriculture (Bois et al, 2008a), forestry (Colombo et al, 2009), ecology (Wagner et al, 2011), oenology (Bois et al, 2008b), human health (Juzeniene et al, 2011), energy (Kenfack et al, 2009;Szabó et al, 2011), or architecture (Leloux et al, 2012;Rotar and Badescu, 2011). Current means for SSI assessment are ground-based instruments which may offer high to good quality measurements if well attended but are too few to offer the coverage needed in space and time.…”

Section: Introductionmentioning

confidence: 99%

Evaluating meso-scale change in performance of several databases of hourly surface irradiation in South-eastern Arabic Pensinsula

et al. 2017

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Abstract. The solar hourly global irradiation received at ground level estimated by the databases HelioClim3v4, HelioClim-3v5 and CAMS Radiation Service are compared to coincident measurements made in five stations in Oman and Abu Dhabi. CAMS is an abbreviation of Copernicus Atmosphere Monitoring Service. Each database describes the hour-to-hour changes in irradiation very well with correlation coefficients greater than 0.97 for all stations. Each database exhibits a tendency to underestimate the irradiation in this area; the bias is small and less than 5 % of the average of the measurements in absolute value. The RMSE ranges between 70 and 90 Wh m −2 (11 to 16 %). This validation of the three databases for this arid region on the edge of the Meteosat coverage reveals satisfactory results. Each database captures accurately the temporal and spatial variability of the irradiance field. It is found that the three databases do not exhibit noticeable geographical changes in performances and are reliable sources to assess the SSI in this region.

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“…Thus, one future research pathway could consist in creating a catalogue of the variability in the solar resource, at different timescales, on a global scale via satellite estimates of the SSI. Current meteorological reanalyses are too noisy in their estimates of the SSI to form the basis for such a catalogue (Boilley and Wald, 2015). In terms of solar power production, the low-frequency variability data would aid with policy and investment decisions, while shortterm variability would be of interest from a monitoring, operations, and engineering perspective.…”

Section: Discussionmentioning

confidence: 99%

Answer to Tommaso Alberti

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2017

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This study is concerned with the intrinsic temporal scales of the variability in the surface solar irradiance (SSI). The data consist of decennial time series of daily means of the SSI obtained from high-quality measurements of the broadband solar radiation impinging on a horizontal plane at ground level, issued from different Baseline Surface Radiation Network (BSRN) ground stations around the world. First, embedded oscillations sorted in terms of increasing timescales of the data are extracted by empirical mode decomposition (EMD). Next, Hilbert spectral analysis is applied to obtain an amplitude-modulation-frequencymodulation (AM-FM) representation of the data. The timevarying nature of the characteristic timescales of variability, along with the variations in the signal intensity, are thus revealed. A novel, adaptive null hypothesis based on the general statistical characteristics of noise is employed in order to discriminate between the different features of the data, those that have a deterministic origin and those being realizations of various stochastic processes. The data have a significant spectral peak corresponding to the yearly variability cycle and feature quasi-stochastic high-frequency variability components, irrespective of the geographical location or of the local climate. Moreover, the amplitude of this latter feature is shown to be modulated by variations in the yearly cycle, which is indicative of nonlinear multiplicative cross-scale couplings. The study has possible implications on the modeling and the forecast of the surface solar radiation, by clearly discriminating the deterministic from the quasistochastic character of the data, at different local timescales.

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Yearly changes in surface solar radiation in New Caledonia

Cited by 6 publications

References 4 publications

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

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

Evaluating meso-scale change in performance of several databases of hourly surface irradiation in South-eastern Arabic Pensinsula

Answer to Tommaso Alberti

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