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Uncertain dynamic response of mid-latitude winter precipitation
Lei Gu1,2, Dominik L Schumacher3, Sebastian Sippel4
1Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland. lei.gu@physics.ox.ac.uk.
Nature
|April 29, 2026
Summary
Climate models accurately simulate precipitation
Area of Science:
- Climate Science
- Atmospheric Science
- Meteorology
Background:
- Precipitation changes are critical for human societies and ecosystems.
- Observed and simulated precipitation trends show discrepancies, particularly in the Northern Hemisphere winter.
- Existing research suggests climate models may underestimate precipitation responses to human activities.
Purpose of the Study:
- To disentangle the thermodynamic and dynamic components of anthropogenic forcing and internal variability in winter precipitation trends.
- To investigate the contribution of these components to discrepancies between observed and simulated precipitation patterns.
- To assess the role of dynamic circulation changes in regional winter precipitation trends.
Main Methods:
- Analysis of winter precipitation trends from 1950-2022.
- Decomposition of precipitation trends into forced thermodynamic, forced dynamic, and internal variability components.
- Comparison of observed trends with climate model simulations, focusing on the Mediterranean region.
Main Results:
- Climate models broadly reproduce the thermodynamic component of precipitation changes but show substantial divergence in the dynamic component.
- In the Mediterranean, the simulated forced dynamic signal explains only about 10% of the observed dynamic trend, hindering detection.
- Projected circulation responses under continued emissions show intensified patterns that increasingly resemble observed trends.
Conclusions:
- While internal variability might play a role, the dynamic response of atmospheric circulation is an emerging factor in regional winter precipitation trends.
- Improving the representation of forced large-scale circulation responses in climate models is essential for enhancing confidence in regional precipitation projections.
- Further research is needed to fully understand and accurately model the dynamic drivers of precipitation change.
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