4.8 Article

A warming-induced reduction in snow fraction amplifies rainfall extremes

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NATURE
Volume -, Issue -, Pages -

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NATURE PORTFOLIO
DOI: 10.1038/s41586-023-06092-7

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The intensity of extreme precipitation events is projected to increase in a warmer climate, posing challenges to water sustainability. This study shows that the increase in rainfall extremes in high-elevation regions is double the rate expected from increases in atmospheric water vapour due to a shift from snow to rain. The findings highlight the vulnerability of high-altitude regions to extreme-rainfall-related hazards and the need for climate adaptation plans.
The intensity of extreme precipitation events is projected to increase in a warmer climate(1-5), 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 floods(6), landslides(7-9) and soil erosion(10,11). 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.

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