Spatiotemporal changes in UK heavy rainfall events not captured by intensity-based methods

Abstract The increasing frequency and intensity of heavy rainfall events driven by climate change poses challenges for flood risk management. In this study, we use a high-resolution, convection-permitting ensemble from the UK climate projections local dataset to explore how the spatiotemporal characteristics of heavy rainfall events may evolve across the UK. Adopting an event-based framework, we analyse 5 km hourly rainfall data from 12 ensemble members and compare changes in future rainfall events to those derived from applying intensity-based scaling factors alone. This comparison allows us to identify aspects of rainfall change that are not captured by shifts in intensity distributions. Our results show that short-duration winter events become increasingly localised, with peak intensities increasing by up to 47%, amplifying flash flood potential. In summer, rainfall events exhibit expanded spatial extents—expanding by 25%–40%—magnifying total precipitation volumes. While we find small changes in the number of clustered events (i.e. heavy rainfall events that occur within a 21 day window), there are large changes to the contribution these have to seasonal precipitation, particularly in summer (7%–11% in the baseline to 11%–16% in future period). These findings highlight new insights into how heavy rainfall may change under future climate conditions, identifying aspects of change beyond intensity increases alone that are relevant for informing current practice for flood risk estimation.

Authors

Institutions

Publication Details

Journal
Environmental Research Letters
Published
2025-10-27
DOI
https://doi.org/10.1088/1748-9326/ae17dc
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatiotemporal changes in UK heavy rainfall events not captured by intensity-based methods

Dan Bernie, Paul Bates, Elizabeth Kendon, Leanne Archer et al.
Environmental Research Letters
Climate variability and models
article

Spatiotemporal changes in UK heavy rainfall events not captured by intensity-based methods

Dan Bernie, Paul Bates, Elizabeth Kendon, Leanne Archer, Laura Devitt, Gemma Coxon, Jeffrey Neal
article en

Abstract

Abstract The increasing frequency and intensity of heavy rainfall events driven by climate change poses challenges for flood risk management. In this study, we use a high-resolution, convection-permitting ensemble from the UK climate projections local dataset to explore how the spatiotemporal characteristics of heavy rainfall events may evolve across the UK. Adopting an event-based framework, we analyse 5 km hourly rainfall data from 12 ensemble members and compare changes in future rainfall events to those derived from applying intensity-based scaling factors alone. This comparison allows us to identify aspects of rainfall change that are not captured by shifts in intensity distributions. Our results show that short-duration winter events become increasingly localised, with peak intensities increasing by up to 47%, amplifying flash flood potential. In summer, rainfall events exhibit expanded spatial extents—expanding by 25%–40%—magnifying total precipitation volumes. While we find small changes in the number of clustered events (i.e. heavy rainfall events that occur within a 21 day window), there are large changes to the contribution these have to seasonal precipitation, particularly in summer (7%–11% in the baseline to 11%–16% in future period). These findings highlight new insights into how heavy rainfall may change under future climate conditions, identifying aspects of change beyond intensity increases alone that are relevant for informing current practice for flood risk estimation.

Environmental Research LettersVol. 20(11)
Met Office (GB), University of Bristol (GB)
Openalex Percentile: Top 71%
Climate variability and models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Spatiotemporal changes in UK heavy rainfall events not captured by intensity-based methods — Dan Bernie, Paul Bates, et al. · Environmental Research Letters (2025) | TGRS Research Map | TGRS