Extreme Cold Days and Spells in Northern Europe at 0.5°C–2.0°C Global Warming Levels

ABSTRACT Projections for cold days and spells in Northern Europe at global warming levels of 0.5°C–2.0°C are derived from bias‐corrected output data from 60 runs performed with 25 global climate models. The threshold temperature of a cold day is defined as the 10th percentile of December–February daily mean temperatures at the 0.5°C warming level. A transition from the 0.5°C to the 2.0°C warming level reduces the multi‐model mean annual number of cold days by 60%–80%. The total cold day extremity index, consisting of the sum of anomalies below the threshold temperature during the cold season, is reduced even more, by 70%–90%. The largest changes occur in the Kola Peninsula and regions surrounding the White and Baltic Seas. This pattern of change is consistent with the signal‐to‐noise ratio of the winter mean temperature increase. Nevertheless, inter‐model differences in the response are substantial, being largely attributable to the manner in which global warming affects regional winter temperatures. To assess the occurrence of severe cold spells, a 1200‐year sample was established by concatenating the bias‐corrected output of all 60 model runs. From this extensive sample, it is feasible to robustly determine the return levels of even very extreme cold spells. A severe cold spell occurring once in 10 years on average at the 0.5°C warming level would be experienced approximately once in 30 (70) years at the 1.5°C (2.0°C) level. Correspondingly, a baseline‐climate 100‐year cold spell would occur at the 2°C warming level less frequently than once in a 1000 years.

Authors

Institutions

Publication Details

Journal
International Journal of Climatology
Published
2025-05-01
DOI
https://doi.org/10.1002/joc.8875
Citations
3
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
3.32

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Extreme Cold Days and Spells in Northern Europe at 0.5°C–2.0°C Global Warming Levels

Kirsti Jylhä, Kimmo Ruosteenoja
3 citations
International Journal of Climatology
Climate variability and models
3.32
article

Extreme Cold Days and Spells in Northern Europe at 0.5°C–2.0°C Global Warming Levels

Kirsti Jylhä, Kimmo Ruosteenoja
article en
3 citations

Abstract

ABSTRACT Projections for cold days and spells in Northern Europe at global warming levels of 0.5°C–2.0°C are derived from bias‐corrected output data from 60 runs performed with 25 global climate models. The threshold temperature of a cold day is defined as the 10th percentile of December–February daily mean temperatures at the 0.5°C warming level. A transition from the 0.5°C to the 2.0°C warming level reduces the multi‐model mean annual number of cold days by 60%–80%. The total cold day extremity index, consisting of the sum of anomalies below the threshold temperature during the cold season, is reduced even more, by 70%–90%. The largest changes occur in the Kola Peninsula and regions surrounding the White and Baltic Seas. This pattern of change is consistent with the signal‐to‐noise ratio of the winter mean temperature increase. Nevertheless, inter‐model differences in the response are substantial, being largely attributable to the manner in which global warming affects regional winter temperatures. To assess the occurrence of severe cold spells, a 1200‐year sample was established by concatenating the bias‐corrected output of all 60 model runs. From this extensive sample, it is feasible to robustly determine the return levels of even very extreme cold spells. A severe cold spell occurring once in 10 years on average at the 0.5°C warming level would be experienced approximately once in 30 (70) years at the 1.5°C (2.0°C) level. Correspondingly, a baseline‐climate 100‐year cold spell would occur at the 2°C warming level less frequently than once in a 1000 years.

International Journal of ClimatologyVol. 45(9)
Finnish Meteorological Institute (FI)
Academy of Finland, China Scholarship Council
Life below water, Climate action
Openalex Percentile: Top 9%
Climate variability and models
3.32
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.