Preprints
https://doi.org/10.5194/egusphere-2025-892
https://doi.org/10.5194/egusphere-2025-892
06 Mar 2025
 | 06 Mar 2025
Status: this preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).

Mean state and day-to-day variability of tropospheric circulation in planetary-scale barotropic Rossby waves during Eurasian heat extremes in CMIP models

Iana Strigunova, Frank Lunkeit, Nedjeljka Žagar, and Damjan Jelić

Abstract. Surface Eurasian heat waves (EHWs) in reanalysis datasets exhibit distinct signatures in the planetary Rossby wave circulation during extended boreal summer, particularly evident in the day-to-day variability. The representation of these signatures continues to be a challenge for climate models, despite significant advancements. This study demonstrates uncertainties in the simulated EHW-related variability in planetary-scale Rossby waves for the present-day climate and the future scenario RCP4.5 in a subset of CMIP models. The historical simulations represent surface EHW and the associated mean pattern of Rossby waves reasonably well, in particular the uncoupled simulations. However, the EHW signatures in day-to-day tropospheric circulation variability are not adequately reproduced. For the RCP4.5 scenario and future EHWs defined with respect to the future mean climate, models do not suggest an increase in EWHs. The associated Rossby wave circulation is considerably uncertain including a lack of a consistent representation of day-to-day variability.

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Iana Strigunova, Frank Lunkeit, Nedjeljka Žagar, and Damjan Jelić

Status: open (until 17 Apr 2025)

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Iana Strigunova, Frank Lunkeit, Nedjeljka Žagar, and Damjan Jelić
Iana Strigunova, Frank Lunkeit, Nedjeljka Žagar, and Damjan Jelić

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Short summary
Our study builds on previous research by examining how climate models simulate the large-scale Rossby wave circulation during present-day Eurasian heat waves (EHWs) and how it alters in the future. We find no increase in future frequency for EHWs defined with respect to the simulated mean climate. The models capture the averaged atmospheric circulation during EHWs but struggle with daily variability. Our results highlight the need for improvements to enhance predictions of extreme weather.
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