Links of atmospheric circulation to cold days in simulations of EURO-CORDEX climate models for central Europe

• Published in: Climate dynamics Vol. 62; no. 6; pp. 5157 - 5173
• Main Authors: Plavcová, Eva, Stryhal, Jan, Lhotka, Ondřej
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2024; Springer Nature B.V
• Subjects: Advection; Air temperature; Atmospheric circulation; Bias; Circulation; Circulation patterns; Circulation types; Clear sky; Climate change; Climate models; Climatology; Cold; Cold days; Daily temperatures; Earth and Environmental Science; Earth Sciences; Extreme cold; Extreme low temperatures; Geophysics/Geodesy; Global warming; Links; Minimum temperatures; Oceanography; Original Article; Regional climate models; Regional climates; Trends; Europe; Atmospheric circulation; CORDEX; Classification of atmospheric circulation; Attribution; Climate model; Cold day
• ISSN: 0930-7575; 1432-0894
• DOI: 10.1007/s00382-024-07156-8

Despite ongoing climate change and warming, extreme cold events still negatively affect human society. Since cold air incursions are related to specific circulation patterns, the main aims of this study are (1) to validate how well current EURO-CORDEX regional climate models (RCMs) reproduce these synoptic links and (2) to assess possible future changes in atmospheric circulation conducive to cold events. Using anomalies of daily minimum temperature, we define cold days (CDs) in central Europe and analyse their characteristics over the historical (1979−2020) and future (2070−2099) periods. We classify wintertime atmospheric circulation by applying a novel technique based on Sammon mapping to the state-of-the-art ERA5 reanalysis output. We discover that circulation types (CT) conducive to CDs are characterised by easterly advection and/or clear-sky anticyclonic conditions. While the RCM ensemble generally reproduces these synoptic links relatively well, we observe biases in the occurrence of CDs in individual simulations. These biases can be attributed to inadequately reproduced frequencies of CTs conducive to CDs (primarily propagating from driving data), as well as to deviations in the conduciveness within these CTs (primarily originating in the RCMs). Interestingly, two competing trends are identified for the end of the twenty-first century: (1) most RCMs project an increased frequency of CTs conducive to CDs, suggesting more frequent CDs, while (2) the same CTs are projected to warm faster compared to their counterparts, suggesting weaker CDs. The interplay between these opposing trends contributes to the overall uncertainty surrounding the recurrence and severity of future winter extremes in central Europe.