Articles | Volume 22, issue 1
Hydrol. Earth Syst. Sci., 22, 727–756, 2018
https://doi.org/10.5194/hess-22-727-2018
Hydrol. Earth Syst. Sci., 22, 727–756, 2018
https://doi.org/10.5194/hess-22-727-2018

Research article 26 Jan 2018

Research article | 26 Jan 2018

Censored rainfall modelling for estimation of fine-scale extremes

David Cross et al.

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Latest update: 09 Dec 2021
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Short summary
Extreme rainfall is one of the most significant natural hazards. However, estimating very large events is highly uncertain. We present a new approach to construct intense rainfall using the structure of rainfall generation in clouds. The method is particularly effective at estimating short-duration extremes, which can be the most damaging. This is expected to have immediate impact for the estimation of very rare downpours, with the potential to improve climate resilience and hazard preparedness.