Articles | Volume 22, issue 1
https://doi.org/10.5194/hess-22-727-2018
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, Christian Onof, Hugo Winter, and Pietro Bernardara

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (15 Nov 2017) by Demetris Koutsoyiannis
AR by David Cross on behalf of the Authors (23 Nov 2017)  Author's response    Manuscript
ED: Publish subject to technical corrections (03 Dec 2017) by Demetris Koutsoyiannis
AR by David Cross on behalf of the Authors (11 Dec 2017)  Author's response    Manuscript
Download
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.