Preprints
https://doi.org/10.5194/egusphere-2026-6018
https://doi.org/10.5194/egusphere-2026-6018
08 Oct 2026
 | 08 Oct 2026
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

UV Index monitoring and forecasting in Cyprus: the effect of ozone, aerosols and clouds

Georgia Charalampous, Konstantinos Fragkos, Ilias Fountoulakis, Kyriakoula Papachristopoulou, Anna Moustaka, Argyro Nisantzi, Diofantos Hadjimitsis, and Stelios Kazadzis

Abstract. Surface ultraviolet (UV) radiation is strongly influenced by clouds, aerosols, and total column ozone, making accurate operational forecasting challenging in regions with highly variable atmospheric conditions. This study evaluates UV Index (UVI) variability and forecasting over Cyprus using more than one year of observations from a five-station ground-based monitoring network. Spectral measurements from a Bentham spectroradiometer were combined with broadband UV observations, all-sky imagery, AERONET aerosol measurements, and satellite ozone products to evaluate the regional Cyprus Erythemal Radiation Forecasting System (CERYFOS) and the Copernicus Atmosphere Monitoring Service (CAMS) corresponding product. Ground-based observations showed a strong seasonal cycle across Cyprus, together with regional differences associated with altitude and local atmospheric variability, particularly at the mountainous Kyperounda station. Both forecasting systems reproduced observed UVI well under typical atmospheric conditions. For the all sky conditions, CERYFOS and CAMS achieved RMSE values of 0.72 and 0.60 UVI, respectively, decreasing to 0.47 and 0.40 UVI under clear-sky cases. In contrast, performance deteriorated under cloudy conditions, with RMSE increasing to 1.65 and 1.12 UVI, respectively, identifying cloud representation as a major source of forecast uncertainty. Ozone-related uncertainties generally produced relatively small UVI deviations, whereas aerosol errors became increasingly important under enhanced aerosol loading, as particularly evident during the 23–24 July 2025 wildfire, underestimated aerosol loading resulted in forecast errors exceeding 4 UVI units. These results demonstrate the importance of accurate cloud and aerosol representation and coordinated ground-based observations for improving operational UVI forecasting in the Eastern Mediterranean.

Competing interests: At least one of the (co-)authors is a guest member of the editorial board of Atmospheric Measurement Techniques for the special issue “Sun-photometric measurements of aerosols: harmonization, comparisons, synergies, effects, and applications”.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Georgia Charalampous, Konstantinos Fragkos, Ilias Fountoulakis, Kyriakoula Papachristopoulou, Anna Moustaka, Argyro Nisantzi, Diofantos Hadjimitsis, and Stelios Kazadzis

Status: open (until 13 Nov 2026)

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Georgia Charalampous, Konstantinos Fragkos, Ilias Fountoulakis, Kyriakoula Papachristopoulou, Anna Moustaka, Argyro Nisantzi, Diofantos Hadjimitsis, and Stelios Kazadzis
Georgia Charalampous, Konstantinos Fragkos, Ilias Fountoulakis, Kyriakoula Papachristopoulou, Anna Moustaka, Argyro Nisantzi, Diofantos Hadjimitsis, and Stelios Kazadzis
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Latest update: 08 Oct 2026
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Short summary
Cyprus has very high levels of ultraviolet radiation from the Sun, so reliable daily forecasts help people protect their health. We compared two forecasting systems with measurements from five stations across the island. Both worked well on clear days but were less accurate when clouds were present. During a wildfire in July 2025, smoke cut the measured ultraviolet levels by about 40 percent, which the forecasts missed. Better cloud and smoke information is needed to improve forecasts.
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