Fingerprinting heatwaves and cold spells and assessing their response to climate change using large deviation theory

Galfi, V. M. ORCID: https://orcid.org/0000-0002-8965-0880 and Lucarini, V. ORCID: https://orcid.org/0000-0001-9392-1471 (2021) Fingerprinting heatwaves and cold spells and assessing their response to climate change using large deviation theory. Physical Review Letters, 127 (5). ISSN 0031-9007 doi: 10.1103/PhysRevLett.127.058701

Abstract/Summary

Extreme events provide relevant insights into the dynamics of climate and their understanding is key for mitigating the impact of climate variability and climate change. By applying large deviation theory to a state-of-the-art Earth system model, we define the climatology of persistent heatwaves and cold spells in key target geographical regions by estimating the rate functions for the surface temperature, and we assess the impact of increasing CO2 concentration on such persistent anomalies. Hence, we can better quantify the increasing hazard due to heatwaves in a warmer climate. We show that two 2010 high impact events—summer Russian heatwave and winter Dzud in Mongolia—are associated with atmospheric patterns that are exceptional compared to the typical ones but typical compared to the climatology of extremes. Their dynamics is encoded in the natural variability of the climate. Finally, we propose and test an approximate formula for the return times of large and persistent temperature fluctuations from easily accessible statistical properties.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/99794
Item Type	Article
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics
Publisher	American Physical Society
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