On the role of downstream-developing Rossby waves in concurrent heat extremes

Abstract. Spatially compounding extreme events such as concurrent heatwaves pose a growing risk to society. The distance between concurrent events, or more generally their distribution in longitude, can be described in terms of a zonal wavenumber. Estimates of this wavenumber are typically based on stationary Rossby wave dynamics and the properties of a mid-latitude waveguide. A potential link to transient waves remains largely unexplored. We investigate the zonal structure of concurrent heatwaves through a composite analysis, comparing idealized numerical experiments and reanalysis data. In particular, we compare summer and winter in the Northern and the Southern hemispheres. Defining concurrent events on a weekly time scale, the composite mean shows a central peak in concurrent heatwave frequency corresponding to a spatially extended heatwave object, adjacent minima with reduced concurrent heatwave probability, and, depending on the degree of zonal symmetry in the atmosphere, more or less pronounced secondary maxima. Such wavy structures can be interpreted as the temporal mean of a downstream-developing transient wave packet. The distance between the adjacent minima or secondary maxima can be inferred from the stationary wavenumber, which we derive by calibrating a simple dispersion relation with the phase speed and group velocity of the associated wave packets. By linking the structure of the quasi-stationary flow to the local properties of downstream-developing Rossby waves, we offer a new perspective on spatially compounding climate extremes.

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Published
2026-10-26
DOI
https://doi.org/10.5194/egusphere-2026-5678
Primary Topic
Climate variability and models
Type
preprint

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preprint

On the role of downstream-developing Rossby waves in concurrent heat extremes

Emmanuele Russo, Wolfgang Wicker, Daniela I. V. Domeisen, Nili Harnik et al.
Climate variability and models
preprint

On the role of downstream-developing Rossby waves in concurrent heat extremes

Emmanuele Russo, Wolfgang Wicker, Daniela I. V. Domeisen, Nili Harnik, Georgios Fragkoulidis
preprint en

Abstract

Abstract. Spatially compounding extreme events such as concurrent heatwaves pose a growing risk to society. The distance between concurrent events, or more generally their distribution in longitude, can be described in terms of a zonal wavenumber. Estimates of this wavenumber are typically based on stationary Rossby wave dynamics and the properties of a mid-latitude waveguide. A potential link to transient waves remains largely unexplored. We investigate the zonal structure of concurrent heatwaves through a composite analysis, comparing idealized numerical experiments and reanalysis data. In particular, we compare summer and winter in the Northern and the Southern hemispheres. Defining concurrent events on a weekly time scale, the composite mean shows a central peak in concurrent heatwave frequency corresponding to a spatially extended heatwave object, adjacent minima with reduced concurrent heatwave probability, and, depending on the degree of zonal symmetry in the atmosphere, more or less pronounced secondary maxima. Such wavy structures can be interpreted as the temporal mean of a downstream-developing transient wave packet. The distance between the adjacent minima or secondary maxima can be inferred from the stationary wavenumber, which we derive by calibrating a simple dispersion relation with the phase speed and group velocity of the associated wave packets. By linking the structure of the quasi-stationary flow to the local properties of downstream-developing Rossby waves, we offer a new perspective on spatially compounding climate extremes.

Planetary Science Institute (US), European Centre for Medium-Range Weather Forecasts (GB), Tel Aviv University (IL), National Observatory of Athens (GR), University of Lausanne (CH)
European Commission, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Centro Svizzero di Calcolo Scientifico, H2020 European Research Council
Climate variability and models
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