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Remote Sens. 2016, 8(7), 537; doi:10.3390/rs8070537

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

1
Laboratory of Materials for Photovoltaics and Photonics, Institute of Applied Physics, ASM, 2028 Kishinev, Moldova
2
Laboratoire d’Optique Atmosphérique, Université de Lille, 59655 Villeneuve d’Ascq Cedex, France
3
MINES ParisTech, PSL Research University, CS 10207, 06904 Sophia Antipolis Cedex, France
4
Institut d’Aéronomie Spatiale de Belgique, Avenue Circulaire, 3, 1180 Bruxelles, Belgium
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Dongdong Wang, Richard Müller and Prasad S. Thenkabail
Received: 23 February 2016 / Revised: 4 June 2016 / Accepted: 17 June 2016 / Published: 24 June 2016
View Full-Text   |   Download PDF [1775 KB, uploaded 24 June 2016]   |  

Abstract

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 U V , 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 U V . 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 U V . 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. View Full-Text
Keywords: UV radiation; Meteosat; Europe; total irradiance; empirical relationships UV radiation; Meteosat; Europe; total irradiance; empirical relationships
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Aculinin, A.; Brogniez, C.; Bengulescu, M.; Gillotay, D.; Auriol, F.; Wald, L. Assessment of Several Empirical Relationships for Deriving Daily Means of UV-A Irradiance from Meteosat-Based Estimates of the Total Irradiance. Remote Sens. 2016, 8, 537.

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