2006
DOI: 10.1117/12.687682
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Modelling solar UV radiation in the past: comparison of algorithms and input data

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Cited by 28 publications
(28 citation statements)
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“…Previous studies showed that the sunshine duration was a worse proxy for a parameterization of the cloud attenuation when compared to the global solar radiation. Using global solar irradiance is more appropriate to parameterize cloud effects on UV (Koepke et al, 2006). However, this variable was measured at Hornsund in some disjointed periods since 1983 but the pyranometer data were not calibrated by a higherranking instrument.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Previous studies showed that the sunshine duration was a worse proxy for a parameterization of the cloud attenuation when compared to the global solar radiation. Using global solar irradiance is more appropriate to parameterize cloud effects on UV (Koepke et al, 2006). However, this variable was measured at Hornsund in some disjointed periods since 1983 but the pyranometer data were not calibrated by a higherranking instrument.…”
Section: Discussionmentioning
confidence: 99%
“…Past variations of the surface erythemal radiation in periods without UV measurements could be retrieved from statistical and radiative transfer modelling using various proxies to describe attenuation of UV radiation in the atmosphere (e.g., Lindfors and Vuilleumier, 2005;Koepke et al, 2006;Lindfors et al, 2007;Rieder et al, 2008). Global solar radiation, cloud cover, solar zenith angle, and the sunshine duration were usually used as proxies to construct empirical formulas to determine cloud attenuation of UV radiation.…”
Section: Data Reconstructionmentioning
confidence: 99%
“…Distance between points on Taylor diagram is equal to the centered pattern RMS difference, i.e., RMS of differences having the mean values subtracted from the compared samples. Thus, if we compare behavior of various models (such as ozone content in Umkehr layers by different retrievals) the best correspondence will be found for the point being the closest to the perfect agreement point (f = 0, radius = 1) [e.g., Koepke et al, 2006;Krzyścin and Rajewska-Więch, 2007].…”
Section: D15s09mentioning
confidence: 99%
“…The COST-726 modelling exercise (Koepke et al, 2006) has revealed that the SSA retrieved from GADS is too high for Thessaloniki, decisively influenced by urban aerosols. Thus, the SSA is fixed at 0.83 based on Bais et al (2005).…”
Section: Observational Datamentioning
confidence: 99%