Preprints
https://doi.org/10.5194/egusphere-2026-5856
https://doi.org/10.5194/egusphere-2026-5856
07 Oct 2026
 | 07 Oct 2026
Status: this preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).

The missing precipitation extremes in the world’s mountains

Mochi Liao and Ana P. Barros

Abstract. Precipitation estimation in mountainous regions is heavily reliant on remote sensing observations and analysis. We demonstrate that the most advanced global precipitation products underestimate extreme rainfall in mountainous regions. A study comprising over 10 000 flood-producing extreme rainfall events worldwide over the past 52 years (1973–2024) shows median underestimations of 100 mm and 225 mm for the top 5 % and 1 % extreme rainfall events, respectively. The spatial variability of rainfall is also significantly underestimated by a factor of 3 in the world’s mountains. These findings confirm the limited ability to monitor and quantify extreme rainfall in complex terrain. This work provides a novel path to systematically enhance precipitation estimates globally using a general hybrid physics–AI framework, even for the top 1 % of extreme events.

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Mochi Liao and Ana P. Barros

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Mochi Liao and Ana P. Barros
Mochi Liao and Ana P. Barros
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Latest update: 07 Oct 2026
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Short summary
We studied more than 10,000 major rainstorms in mountain regions around the world to learn whether current rainfall maps capture the heaviest events. They often do not: the maps miss large amounts of rain and smooth out local differences. By combining rainfall maps with records of river flow, we improved the estimates. Better rainfall information can strengthen flood warnings and help communities prepare for related hazards.
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