Global representation of extratropical cyclone precipitation and future trends in CMIP6 models

Abstract We use a cyclone‐tracking algorithm to study precipitation produced by extratropical cyclones in reanalysis data and climate models. In the Southern Hemisphere, we find strong zonal asymmetries in extratropical cyclone precipitation, with peaks off the eastern coasts of the three main landmasses. We show that models have negative biases in cyclone precipitation in exactly those centres of peak precipitation. These biases have a structure similar to biases of reanalysis precipitation compared with satellite observations, indicating that the model component of reanalysis products has similar difficulties representing extreme precipitation from extratropical cyclones. Extratropical cyclone precipitation trends are similar in the historical period and future projections, with a poleward shift of the storm tracks in both hemispheres and a general increase in precipitation from extreme extratropical cyclones.

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Publication Details

Journal
Quarterly Journal of the Royal Meteorological Society
Published
2025-05-19
DOI
https://doi.org/10.1002/qj.5010
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

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article

Global representation of extratropical cyclone precipitation and future trends in CMIP6 models

Catherine Burke, Martin Jucker, Acacia Pepler, Greta Paget
1 links
Quarterly Journal of the Royal Meteorological Society
Climate variability and models
article

Global representation of extratropical cyclone precipitation and future trends in CMIP6 models

Catherine Burke, Martin Jucker, Acacia Pepler, Greta Paget
article en

Abstract

Abstract We use a cyclone‐tracking algorithm to study precipitation produced by extratropical cyclones in reanalysis data and climate models. In the Southern Hemisphere, we find strong zonal asymmetries in extratropical cyclone precipitation, with peaks off the eastern coasts of the three main landmasses. We show that models have negative biases in cyclone precipitation in exactly those centres of peak precipitation. These biases have a structure similar to biases of reanalysis precipitation compared with satellite observations, indicating that the model component of reanalysis products has similar difficulties representing extreme precipitation from extratropical cyclones. Extratropical cyclone precipitation trends are similar in the historical period and future projections, with a poleward shift of the storm tracks in both hemispheres and a general increase in precipitation from extreme extratropical cyclones.

Quarterly Journal of the Royal Meteorological SocietyVol. 151(771)
Bureau of Meteorology (AU), UNSW Sydney (AU), ARC Centre of Excellence for Climate System Science (AU)
Climate Extremes, Australian Research Council
Openalex Percentile: Top 89%
Climate variability and models
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