EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Wave-resonance fingerprint in the 2010 summer: a modelling experiment

Giorgia Di Capua1,2, Kai Kornhuber3, Eftychia Rousi1, Sarah Sparrow4, David Wallom4, and Dim Coumou1,2
Giorgia Di Capua et al.
  • 1Potsdam Institute for Climate Impact Research, Potsdam, Germany (
  • 2IVM-Institute for Environmental Studies, Free University of Amsterdam, Amsterdam, Netherlands
  • 3Earth Institute, Columbia University, New York, United States
  • 4Oxford e-Research Centre, University of Oxford, Oxford, United Kingdom

Summer 2010 was characterized by two contemporaneous extreme events: the Russian heat wave and the Pakistan flood. Several studies have shown a link between the two events, and Quasi-Resonant Amplification (QRA) has been suggested as an atmosphere-dynamic mechanism leading to the anomalous wavy circulation pattern which connected both extremes. Here, we aim at reproducing the 2010 circulation conditions in the Northern Hemisphere by obtaining a large ensemble of simulations from the Weather@home project within (CPDN). We identify those ensemble members exhibiting a specific latitudinal temperature profile characterised by amplified high-latitude land warming (QRA - fingerprint) and investigate their surface temperature and upper level circulation properties. We show that when the QRA - fingerprint is present, the mid-latitude circulation bears similar characteristics to those observed in the 2010 summer: hot temperatures over European Russia and a wavy pattern in the upper-tropospheric meridional winds. As temperature profiles are projected to become increasingly similar to the QRA-fingerprint under future emission scenarios, these results provide further evidence that high latitude warming might favour persistent surface weather in the mid-latitudes.

How to cite: Di Capua, G., Kornhuber, K., Rousi, E., Sparrow, S., Wallom, D., and Coumou, D.: Wave-resonance fingerprint in the 2010 summer: a modelling experiment, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-16003,, 2020


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