Winter extreme weather in EURO-CORDEX climate models and their links to large-scale atmospheric circulation

0545669 - ÚFA 2022 DE eng A - Abstract
Plavcová, Eva - Lhotka, Ondřej - Stryhal, Jan
Winter extreme weather in EURO-CORDEX climate models and their links to large-scale atmospheric circulation.
EMS Annual Meeting Abstracts, Vol. 18. Berlin: European Meteorological Society, 2020.
[EMS Annual Meeting 2021. 06.09.2021-10.09.2021, online]
Institutional support: RVO:68378289
Keywords : regional climate models (RCMs) * atmospheric circulation * extreme wind gust * extremely cold temperature
OECD category: Climatic research
https://meetingorganizer.copernicus.org/EMS2021/EMS2021-377.html

Regional Climate Models (RCMs) are powerful tools to study changes in the climate system on the regional scale. However, the reliability of their simulations has been considerably limited by the longstanding issue that climate models often fail to reproduce various aspects of the historical climate. In our study, we analyse how RCMs from the EURO-CORDEX project are able to reproduce extreme winter weather. We analyse temporal and spatial characteristics of extreme wind gust, extremely cold temperature, and extreme precipitation. Model outputs are validated against observed data from the European gridded observational database (EOBS) and the novel ERA5 reanalysis. We focus on the Central European domain (defined between 48–52°N and 10–19°E) over the 1979 – 2017 period. We investigate a set of 9 simulations of 3 different RCMs driven by 3 different global climate models which allow us to analyse the influence of driving data on the RCM’s performance. Since local climate elements are relatively tightly linked to a large-scale atmospheric circulation over Europe in winter, we also evaluate the ability of RCMs to reproduce the atmospheric circulation and its links to selected high-impact winter weather in detail. We use the classification of circulation based on the method of Sammon mapping. Investigation of these links can lead to better physical understanding of the climate and to the identification of inadequacies in simulated characteristics of the studied events. All of this is an important step forward in further improving the models and enhancing the credibility of climate change scenarios based on climate model simulations.
Permanent Link: http://hdl.handle.net/11104/0322341