A large deviation theory-based analysis of heat waves and cold spells in a simplified model of the general circulation of the atmosphere

Vera Melinda Gálfi, Valerio Lucarini, Jeroen Wouters

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

We study temporally persistent and spatially extended extreme events of temperature anomalies, i.e. heat waves and cold spells, using large deviation theory. To this end, we consider a simplified yet Earth-like general circulation model of the atmosphere and numerically estimate large deviation rate functions of near-surface temperature in the mid-latitudes. We find that, after a re-normalisation based on the integrated auto-correlation, the rate function one obtains at a given latitude by looking locally in space at long time averages agrees with what is obtained, instead, by looking locally in time at large spatial averages along the latitude. This is a result of scale symmetry in the spatio-temporal turbulence and of the fact that advection is primarily zonal. This agreement hints at the universality of large deviations of the temperature field. Furthermore, we discover that the obtained rate function is able to describe the statistics of temporal averages of spatial averages performed over large spatial scales, thus allowing one to look into spatio-temporal large deviations. Finally, we find out that, as a result of a modification in the rate function, large deviations are relatively more likely to occur when looking at spatial averages performed over intermediate scales. This is due to the existence of weather patterns associated with the low-frequency variability of the atmosphere, which are responsible for extended and temporally persistent heat waves or cold spells. Extreme value theory is used to benchmark our results.
Original languageEnglish
Article number033404
JournalJournal of Statistical Mechanics: Theory and Experiment
Volume2019
Issue number3
DOIs
Publication statusPublished - 19 Mar 2019
Externally publishedYes

Funding

The authors wish to thank T Bódai for intellectual exchanges on the properties of extremes in geophysical flows, and F Bouchet for stimulating conversations on the use of LDT for the study of geophysical flows. We would like to thank also E Kirk and F Lunkeit for providing help with the model simulations. VL and VMG acknowledge the support of the Collaborative Research Centre TRR 181 'Energy Transfer in the Atmosphere and Ocean' funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, project number 274762653). VL acknowledges the support of the Horizon 2020 projects Blue-Action (grant agreement number 727852) and CRESCENDO (grant agreement number 641816). VMG acknowledges funding from the International Max Planck Research School on Earth System Modelling (IMPRS-ESM).

FundersFunder number
Horizon 2020 Framework Programme641816, 727852
Deutsche Forschungsgemeinschaft274762653

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