A warming-induced reduction in snow fraction amplifies rainfall extremes

Mohammed Ombadi (), Mark D. Risser, Alan M. Rhoades and Charuleka Varadharajan
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Mohammed Ombadi: Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory
Mark D. Risser: Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory
Alan M. Rhoades: Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory
Charuleka Varadharajan: Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory

Nature, 2023, vol. 619, issue 7969, 305-310

Abstract: Abstract The intensity of extreme precipitation events is projected to increase in a warmer climate1–5, posing a great challenge to water sustainability in natural and built environments. Of particular importance are rainfall (liquid precipitation) extremes owing to their instantaneous triggering of runoff and association with floods6, landslides7–9 and soil erosion10,11. However, so far, the body of literature on intensification of precipitation extremes has not examined the extremes of precipitation phase separately, namely liquid versus solid precipitation. Here we show that the increase in rainfall extremes in high-elevation regions of the Northern Hemisphere is amplified, averaging 15 per cent per degree Celsius of warming—double the rate expected from increases in atmospheric water vapour. We utilize both a climate reanalysis dataset and future model projections to show that the amplified increase is due to a warming-induced shift from snow to rain. Furthermore, we demonstrate that intermodel uncertainty in projections of rainfall extremes can be appreciably explained by changes in snow–rain partitioning (coefficient of determination 0.47). Our findings pinpoint high-altitude regions as ‘hotspots’ that are vulnerable to future risk of extreme-rainfall-related hazards, thereby requiring robust climate adaptation plans to alleviate potential risk. Moreover, our results offer a pathway towards reducing model uncertainty in projections of rainfall extremes.

Date: 2023
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DOI: 10.1038/s41586-023-06092-7

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