Characterising Cold‐Dry and Cold‐Wet Compound Events in the United Kingdom

ABSTRACT Compound cold extreme weather events—co‐occurring multivariate events—have been defined as either cold‐dry (CD) or cold‐wet (CW) depending on the absence or presence of heavy precipitation. Both event types induce varying levels of social and economic impacts across multiple sectors such as health, transport and energy depending on which type of event is experienced. In this study, we characterise these CD and CW events in the United Kingdom (UK) using a location‐specific percentile approach and assess their relationship with a set of 30 UK‐specific weather patterns to determine the event drivers. The results show that there are up to 14 CD days per winter season in the west of the study region compared to 4–8 CD days in the east. The inverse is shown for CW with 0–1 days per winter season in the west and 2–3 days in the east. CD events are predominantly driven by anticyclonic weather patterns (which are classified in the negative North Atlantic Oscillation regime), and CW days are driven by cyclonic weather patterns. This study provides evidence that a location‐specific approach alongside weather pattern analysis could be adopted as a tool for impact‐based forecasting at a medium‐range lead time to forecast CD and CW events.

Authors

Institutions

Publication Details

Journal
International Journal of Climatology
Published
2025-04-05
DOI
https://doi.org/10.1002/joc.8859
Citations
1
Primary Topic
Climate Change and Health Impacts
Type
article
Field-Weighted Citation Impact
1.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterising Cold‐Dry and Cold‐Wet Compound Events in the United Kingdom

Joanne Robbins, Kanzis L. Mattu, Hannah Bloomfield, Christopher J. White
1 citations
International Journal of Climatology
Climate Change and Health Impacts
1.20
article

Characterising Cold‐Dry and Cold‐Wet Compound Events in the United Kingdom

Joanne Robbins, Kanzis L. Mattu, Hannah Bloomfield, Christopher J. White
article en
1 citations

Abstract

ABSTRACT Compound cold extreme weather events—co‐occurring multivariate events—have been defined as either cold‐dry (CD) or cold‐wet (CW) depending on the absence or presence of heavy precipitation. Both event types induce varying levels of social and economic impacts across multiple sectors such as health, transport and energy depending on which type of event is experienced. In this study, we characterise these CD and CW events in the United Kingdom (UK) using a location‐specific percentile approach and assess their relationship with a set of 30 UK‐specific weather patterns to determine the event drivers. The results show that there are up to 14 CD days per winter season in the west of the study region compared to 4–8 CD days in the east. The inverse is shown for CW with 0–1 days per winter season in the west and 2–3 days in the east. CD events are predominantly driven by anticyclonic weather patterns (which are classified in the negative North Atlantic Oscillation regime), and CW days are driven by cyclonic weather patterns. This study provides evidence that a location‐specific approach alongside weather pattern analysis could be adopted as a tool for impact‐based forecasting at a medium‐range lead time to forecast CD and CW events.

International Journal of ClimatologyVol. 45(9)
Met Office (GB), University of Strathclyde (GB), Newcastle University (GB)
Openalex Percentile: Top 24%
Climate Change and Health Impacts
1.20
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.

Characterising Cold‐Dry and Cold‐Wet Compound Events in the United Kingdom — Joanne Robbins, Kanzis L. Mattu, et al. · International Journal of Climatology (2025) | TGRS Research Map | TGRS