Projected Changes in the Warm Arctic–Cold Eurasian Pattern: Structural Shifts and Underlying Mechanisms

Abstract The warm Arctic–cold Eurasia (WACE) pattern is a key component of extratropical climate variability, shaping extreme weather across Eurasia. This study examines the historical variability and future projections of WACE using the fifth generation European Centre for Medium-Range Weather Forecasts atmospheric reanalysis (ERA5) data, a 17-model Coupled Model Intercomparison Project phase 6 (CMIP6) multimodel ensemble, and a 50-member initial condition ensemble from CanESM5 under the shared socioeconomic pathway (SSP)5-8.5 scenario. Results indicate that both CMIP6 and CanESM5 ensembles effectively reproduce WACE’s spatial structure and variability. The pattern is primarily sustained by zonal and meridional heat transport and damped by the diabatic generation of available potential energy. Under global warming, WACE variability is projected to decline, with the most pronounced reductions in the Arctic. This decline is largely attributed to sea ice loss, increased ocean heat capacity, and enhanced upward turbulent heat flux, which collectively suppress Arctic temperature variability by weakening heat transport and intensifying diabatic heating. Model comparisons reveal that CanESM5 exhibits a stronger Arctic action center, larger zonal heat transport, and more pronounced diabatic heating damping than the CMIP6 ensemble, likely due to its higher climate sensitivity, leading to a sharper decline in Arctic temperature variance. Despite differences in the magnitude of projected changes and a typically larger intermodel spread compared to intermember variability, the core processes linking changes in Arctic temperature variability to regional sea ice mass, surface heat fluxes, and horizontal heat transport are consistently represented across all models. These findings offer further insights into the evolving dynamics of extratropical climate variability in response to anthropogenic warming. Significance Statement The warm Arctic–cold Eurasia (WACE) pattern influences extreme winter weather, yet its future under climate change remains uncertain. This study reveals that WACE variability is projected to weaken due to sea ice loss and altered heat transport, impacting midlatitude climate patterns. Using climate models, we identify key energy exchange processes driving these changes. A deeper understanding of WACE’s future behavior can improve climate model predictions and enhance seasonal forecasting, aiding preparedness for shifting winter extremes in Eurasia. Future research should refine climate projections by further exploring the interactions among Arctic warming, extratropical atmospheric circulation, and midlatitude temperature anomalies.

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Publication Details

Journal
Journal of Climate
Published
2025-09-16
DOI
https://doi.org/10.1175/jcli-d-25-0152.1
Primary Topic
Arctic and Russian Policy Studies
Type
article
Field-Weighted Citation Impact
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article

Projected Changes in the Warm Arctic–Cold Eurasian Pattern: Structural Shifts and Underlying Mechanisms

Hai Lin, Bin Yu, Dae Il Jeong
Journal of Climate
Arctic and Russian Policy Studies
article

Projected Changes in the Warm Arctic–Cold Eurasian Pattern: Structural Shifts and Underlying Mechanisms

Hai Lin, Bin Yu, Dae Il Jeong
article en

Abstract

Abstract The warm Arctic–cold Eurasia (WACE) pattern is a key component of extratropical climate variability, shaping extreme weather across Eurasia. This study examines the historical variability and future projections of WACE using the fifth generation European Centre for Medium-Range Weather Forecasts atmospheric reanalysis (ERA5) data, a 17-model Coupled Model Intercomparison Project phase 6 (CMIP6) multimodel ensemble, and a 50-member initial condition ensemble from CanESM5 under the shared socioeconomic pathway (SSP)5-8.5 scenario. Results indicate that both CMIP6 and CanESM5 ensembles effectively reproduce WACE’s spatial structure and variability. The pattern is primarily sustained by zonal and meridional heat transport and damped by the diabatic generation of available potential energy. Under global warming, WACE variability is projected to decline, with the most pronounced reductions in the Arctic. This decline is largely attributed to sea ice loss, increased ocean heat capacity, and enhanced upward turbulent heat flux, which collectively suppress Arctic temperature variability by weakening heat transport and intensifying diabatic heating. Model comparisons reveal that CanESM5 exhibits a stronger Arctic action center, larger zonal heat transport, and more pronounced diabatic heating damping than the CMIP6 ensemble, likely due to its higher climate sensitivity, leading to a sharper decline in Arctic temperature variance. Despite differences in the magnitude of projected changes and a typically larger intermodel spread compared to intermember variability, the core processes linking changes in Arctic temperature variability to regional sea ice mass, surface heat fluxes, and horizontal heat transport are consistently represented across all models. These findings offer further insights into the evolving dynamics of extratropical climate variability in response to anthropogenic warming. Significance Statement The warm Arctic–cold Eurasia (WACE) pattern influences extreme winter weather, yet its future under climate change remains uncertain. This study reveals that WACE variability is projected to weaken due to sea ice loss and altered heat transport, impacting midlatitude climate patterns. Using climate models, we identify key energy exchange processes driving these changes. A deeper understanding of WACE’s future behavior can improve climate model predictions and enhance seasonal forecasting, aiding preparedness for shifting winter extremes in Eurasia. Future research should refine climate projections by further exploring the interactions among Arctic warming, extratropical atmospheric circulation, and midlatitude temperature anomalies.

Journal of ClimateVol. 38(24)
Environment and Climate Change Canada (CA)
Openalex Percentile: Top 67%
Arctic and Russian Policy Studies
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