Assessment of Several Empirical Relationships for Deriving Daily Means of UV-A Irradiance from Meteosat-Based Estimates of the Total Irradiance - Mines Paris
Article Dans Une Revue Remote Sensing Année : 2016

Assessment of Several Empirical Relationships for Deriving Daily Means of UV-A Irradiance from Meteosat-Based Estimates of the Total Irradiance

Résumé

Daily estimates of the solar UV-A radiation (315–400 nm) at the surface, anywhere, anytime, are needed in many epidemiology studies. Satellite-derived databases of solar total irradiance, combined with empirical relationships converting totals into daily means of UV-A irradiance I UV , are a means to satisfy such needs. Four empirical relationships are applied to three different databases: HelioClim-3 (versions 4 and 5) and CAMS Radiation Service—formerly known as MACC-RAD—derived from Meteosat images. The results of these combinations are compared to ground-based measurements located in mid-latitude Europe, mostly in Belgium. Whatever the database, the relationships of Podstawczynska (2010) and of Bilbao et al. (2011) exhibit very large underestimation and RMSE on the order of 40%–50% of the mean I UV. Better and more acceptable results are attained with the relationships proposed by Zavodska and Reichrt (1985) and that of Wald (2012). The relative RMSE is still large and in the range 10%–30% of the mean I UV. The correlation coefficients are large for all relationships. Each of them captures most of the variability contained in the UV measurements and can be used in studies where correlation plays a major role.
Fichier principal
Vignette du fichier
2016_remotesensing_uv_aculinin.pdf (1.73 Mo) Télécharger le fichier
Origine Publication financée par une institution
Loading...

Dates et versions

hal-01337173 , version 1 (24-06-2016)

Identifiants

Citer

Alexandr Aculinin, Colette Brogniez, Marc Bengulescu, Didier Gillotay, Frédérique Auriol, et al.. Assessment of Several Empirical Relationships for Deriving Daily Means of UV-A Irradiance from Meteosat-Based Estimates of the Total Irradiance. Remote Sensing, 2016, 8 (7), pp.537. ⟨10.3390/rs8070537⟩. ⟨hal-01337173⟩
489 Consultations
211 Téléchargements

Altmetric

Partager

More