Assessment of Several Empirical Relationships for Deriving Daily Means of UV-A Irradiance from Meteosat-Based Estimates of the Total Irradiance
Laboratory of Materials for Photovoltaics and Photonics, Institute of Applied Physics, ASM, 2028 Kishinev, Moldova
Laboratoire d’Optique Atmosphérique, Université de Lille, 59655 Villeneuve d’Ascq Cedex, France
MINES ParisTech, PSL Research University, CS 10207, 06904 Sophia Antipolis Cedex, France
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
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
, 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
. 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
. 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.
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).
Share & Cite This Article
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.
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 Sensing. 2016; 8(7):537.
Aculinin, Alexandr; Brogniez, Colette; Bengulescu, Marc; Gillotay, Didier; Auriol, Frédérique; Wald, Lucien. 2016. "Assessment of Several Empirical Relationships for Deriving Daily Means of UV-A Irradiance from Meteosat-Based Estimates of the Total Irradiance." Remote Sens. 8, no. 7: 537.
Show more citation formats
Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
[Return to top]
For more information on the journal statistics, click here
Multiple requests from the same IP address are counted as one view.