On the diffuse fraction of daily and monthly global radiation for the island of Cyprus

Jacovides, C.P.; Hadjioannou, L.; Pashiardis, Stelios; Stefanou, L.

doi:10.1016/0038-092x(96)81162-5

Cited by 48 publications

(26 citation statements)

References 12 publications

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“…Observing that the fitting result is similar to the one proposed by Liu-Jordan, we have decided to use the Page expression because of its simplicity. Jacovides et al (1996) conclude that the Page correlation is accurate and could be applied in the eastern Mediterranean basin. De Miguel et al (2001) show that diffuse radiation correlations are dependent on location and solar altitude.…”

Section: Diffuse Solar Radiationmentioning

confidence: 76%

Mapping a topographic global solar radiation model implemented in a GIS and refined with ground data

Pons

Ninyerola

2008

Intl Journal of Climatology

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This study proposes a methodology to compute solar radiation values on the Earth surface on a monthly and annual basis and taking into account the relief, which is not an usual approach although it has enormous importance for environmental studies. It consists of two steps: a computational, physically-based model (potential solar radiation) and a refining through meteorological data (interpolated solar radiation). The potential solar radiation model allows computing the incident energy assuming uniform atmospheric standard optical density. The only information required is a Digital Elevation Model (DEM, 180 m resolution in our case) and a number of meteorological stations providing global solar radiation data (74 in our case). This model, implemented into the MiraMon Geographic Information System (GIS), takes into account astronomical, atmospheric and geographical factors. Atmospheric effects are considered through correctors obtained by comparing the potential values with the observed at the meteorological stations. The resulting monthly correctors have been spatially interpolated to build up anomaly maps, which allow to obtain a refined solar radiation cartography. The potential model has proven to be very precise as it gives results close to the interpolated radiation values, allowing a conversion to interpolated solar radiation maps with errors of 7.3% (March), 6.1% (June), 6.4% (September) and 13.1% (December) computed from a leave-one-out cross-validation. These results are always better than those obtained by classical interpolators, and still better if the process is run on the rugged terrain areas. A sensitivity analysis estimates the influence of the DEM quality on the model, concluding that an RMS error of 8 m in the DEM heights represents an RMS error of 133 kJ·m −2 ·day −1 (mean monthly) on the results. Finally, we have applied the model to obtain the 12-monthly (based on daily average) global solar radiation maps of Catalonia (NE of Iberian Peninsula) as well as the annual one.

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Section: Diffuse Solar Radiationmentioning

confidence: 76%

Mapping a topographic global solar radiation model implemented in a GIS and refined with ground data

Pons

Ninyerola

2008

Intl Journal of Climatology

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“…The correlation applied in the present study, shown in Eq. (3) was obtained by Jacovides et al (1996), who investigated the accuracy of some of the previously available correlations when applied locally for high-quality data recorded in Cyprus, and found that these correlations are location-independent. However, they developed a specific correlation, which is more suitable for applying in Mediterranean areas.…”

Section: Beam and Diffuse Component Estimation On Horizontal Surfacesmentioning

confidence: 99%

“…In the literature, there are several reviews about the different correlations available, depending on the averaging procedure and on the time scale of the radiation data (e.g. hourly or daily) (Iqbal, 1980;Spencer, 1982;Kambezidis et al, 1994;Jacovides et al, 1996). Liu and Jordan (1960) were the first authors to develop a model for the estimation of diffuse radiation from global data, establishing the basis for later empirical analyses of global radiation from daily data.…”

Section: Introductionmentioning

confidence: 99%

“…For this purpose, different topographic algorithms have been coupled in order to estimate series of distributed solar radiation values and calculations have been made to quantify this influence on evapotranspiration estimates in mountainous areas in Mediterranean locations. Thus, an algorithm was derived from Dozier (1980), Jacovides et al (1996) and Ineichen and Pérez (2002) to take into account the lack of weather stations at high altitudes. To be exact, this algorithm should estimate hourly global values as well as the separation between its beam and diffuse components from the common measurements obtained on horizontal surfaces.…”

Section: Introductionmentioning

confidence: 99%

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Topographic effects on solar radiation distribution in mountainous watersheds and their influence on reference evapotranspiration estimates at watershed scale

Aguilar¹,

Herrero

Polo³

2010

Hydrol. Earth Syst. Sci.

116

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Abstract. Distributed energy and water balance models require time-series surfaces of the climatological variables involved in hydrological processes. Among them, solar radiation constitutes a key variable to the circulation of water in the atmosphere. Most of the hydrological GIS-based models apply simple interpolation techniques to data measured at few weather stations disregarding topographic effects. Here, a topographic solar radiation algorithm has been included for the generation of detailed time-series solar radiation surfaces using limited data and simple methods in a mountainous watershed in southern Spain. The results show the major role of topography in local values and differences between the topographic approximation and the direct interpolation to measured data (IDW) of up to +42% and −1800% in the estimated daily values. Also, the comparison of the predicted values with experimental data proves the usefulness of the algorithm for the estimation of spatiallydistributed radiation values in a complex terrain, with a good fit for daily values (R 2 = 0.93) and the best fits under cloudless skies at hourly time steps. Finally, evapotranspiration fields estimated through the ASCE-Penman-Monteith equation using both corrected and non-corrected radiation values address the hydrologic importance of using topographicallycorrected solar radiation fields as inputs to the equation over uniform values with mean differences in the watershed of 61 mm/year and 142 mm/year of standard deviation. High speed computations in a 1300 km 2 watershed in the south of Spain with up to a one-hour time scale in 30 × 30 m 2 cells can be easily carried out on a desktop PC.

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“…On the other hand, K T does not exhibit strong seasonal dependence, as shown in Figure 2. This can be attributed to the proximity of numerous sites to the sea, which further tends to dampen strong seasonal variations in the moisture content of the atmosphere as well as in the distribution of the cloud cover [37,38].…”

Section: Clearness Indexmentioning

confidence: 99%

Spatio-Temporal Characteristics in the Clearness Index Derived from Global Solar Radiation Observations in Korea

et al. 2016

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On the diffuse fraction of daily and monthly global radiation for the island of Cyprus

Cited by 48 publications

References 12 publications

Mapping a topographic global solar radiation model implemented in a GIS and refined with ground data

Mapping a topographic global solar radiation model implemented in a GIS and refined with ground data

Topographic effects on solar radiation distribution in mountainous watersheds and their influence on reference evapotranspiration estimates at watershed scale

Spatio-Temporal Characteristics in the Clearness Index Derived from Global Solar Radiation Observations in Korea

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