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Influence of low ozone episodes on erythemal UV-B radiation in Austria
Authors:Schwarz  Matthias  Baumgartner  Dietmar J  Pietsch  Helga  Blumthaler  Mario  Weihs  Philipp  Rieder  Harald E
Institution:1.Wegener Center for Climate and Global Change (WEGC), University of Graz, Graz, Austria
;2.Institute for Geophysics, Astrophysics and Meteorology/Institute of Physics (IGAM/IP), University of Graz, Graz, Austria
;3.Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
;4.Kanzelhöhe Observatory for Solar and Environmental Research (KSO), University of Graz, Treffen, Austria
;5.Division for Biomedical Physics, Innsbruck Medical University, Innsbruck, Austria
;6.Institute for Meteorology, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria
;7.Austrian Polar Research Institute, Vienna, Austria
;
Abstract:

This study investigates the influence of low ozone episodes on UV-B radiation in Austria during the period 1999 to 2015. To this aim observations of total column ozone (TCO) in the Greater Alpine Region (Arosa, Switzerland; Hohenpeissenberg, Germany; Hradec Kralove, Czech Republic; Sonnblick, Austria), and erythemal UV-B radiation, available from 12 sites of the Austrian UV-B monitoring network, are analyzed. As previous definitions for low ozone episodes are not particularly suited to investigate effects on UV radiation, a novel threshold approach—considering anomalies—is developed to provide a joint framework for the analysis of extremes. TCO and UV extremes are negatively correlated, although modulating effects of sunshine duration impact the robustness of the statistical relationship. Therefore, information on relative sunshine duration (SDrel), available at (or nearby) UV-B monitoring sites, is included as explanatory variable in the analysis. The joint analysis of anomalies of both UV index (UVI) and total ozone (?UVI, ?TCO) and SDrel across sites shows that more than 65% of observations with strongly negative ozone anomalies (?TCO < ?1) led to positive UVI anomalies. Considering only days with strongly positive UVI anomaly (?UVI > 1), we find (across all sites) that about 90% correspond to negative ?TCO. The remaining 10% of days occurred during fair weather conditions (SDrel ≥ 80%) explaining the appearance of ?UVI > 1 despite positive TCO anomalies. Further, we introduce an anomaly amplification factor (AAF), which quantifies the expected change of the ?UVI for a given change in ?TCO.

Keywords:
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