EMS Annual Meeting Abstracts
Vol. 18, EMS2021-188, 2021
https://doi.org/10.5194/ems2021-188
EMS Annual Meeting 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

An Investigation of cold-wet Compound Events in Greece

Iason Markantonis1,2, Diamando Vlachogiannis1, Thanasis Sfetsos1, Ioannis Kioutsioukis2, and Nadia Politi1
Iason Markantonis et al.
  • 1NCSR 'Demokritos', INRASTES, Agia Paraskevi, Greece (makrigia@rrp.demokritos.gr)
  • 2Department of Physics, University of Patras, Patras, Greece (secrphysics@upatras.gr)

Climate change is set to affect extreme climate and meteorological events. The combination of interacting physical processes (climate drivers) across various spatial and temporal scales resulting to an extreme event is referred to as compound event. So far, climate change impacts on compound events in Greece such as daily cold-wet events have not been explored. The complex geography and topography of Greece forms a variety of regions with different local climate and a great range in daily minimum temperature and precipitation distributions. This leads to the assumption that there we will also observe a variety in the distribution of cold-wet events depending on the region. Aim of our study in this work is first to identify the cold-wet events based on observational data and then to examine the predictive capability of regional different climate models and ERA-Interim against observations from the Hellenic National Meteorological Service (HNMS) stations for the occurrence of cold-wet compound events in the present climate. The study will focus on the colder and wetter period of the year (November-April) to determine the extremes for this period. Specifically, the datasets employed are from two EURO-CORDEX Regional Climate Models (RCMs) with 0.11° horizontal resolution and validated ERA-Interim Reanalysis downscaled with the Weather Research and Forecasting (WRF) model at 5km horizontal resolution, for the historical period 1980-2004. In particular, the RCM datasets analyses have been produced from SMHI-RCA4 driven by MPI-M-MPI-ESM-LR Global Climate Model (GCM) and CLMcom-CLM-CCLM4-8-17 driven by MOHC-HadGEM2-ES GCM. After the comparison with the observations, the gridded data from the models will give us the ability to observe the spatial distribution of the compound events.

How to cite: Markantonis, I., Vlachogiannis, D., Sfetsos, T., Kioutsioukis, I., and Politi, N.: An Investigation of cold-wet Compound Events in Greece, EMS Annual Meeting 2021, online, 6–10 Sep 2021, EMS2021-188, https://doi.org/10.5194/ems2021-188, 2021.

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