Impacts of Anthropogenic Aerosol‐Forced North Atlantic SST Variability on the Simulated Historical Global Warming

Abstract Climate models with identical anthropogenic forcings simulate different historical warming, mainly because aerosol forcing is poorly constrained. The role of uncertainty in regional aerosol forcing, however, has not been systematically studied. Using a large ensemble of CMIP6 models, I demonstrate that anthropogenic aerosol‐forced North Atlantic (NA) sea‐surface temperature variability significantly modulates greenhouse gas‐driven global‐mean surface air temperature (GMST) increases in historical simulations, explaining 6.8 (±0.7)% of the ensemble‐mean GMST change. This effect varies widely across models. Consequently, models with strong NA forcing tend to underestimate anthropogenic global warming, and vice‐versa, independent of climate sensitivity. The regional forcing variation is linked to a coherent hemispheric pattern, with the largest variations occurring near the anthropogenic aerosol source regions. Our results highlight the importance of regional aerosol forcing in understanding historical warming and, potentially, future projections, given the significant uncertainty in model simulations.

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Publication Details

Journal
Geophysical Research Letters
Published
2026-09-12
DOI
https://doi.org/10.1029/2026gl124086
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

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article

Impacts of Anthropogenic Aerosol‐Forced North Atlantic SST Variability on the Simulated Historical Global Warming

Harun Rashid
Geophysical Research Letters
Climate variability and models
article

Impacts of Anthropogenic Aerosol‐Forced North Atlantic SST Variability on the Simulated Historical Global Warming

Harun Rashid
article en

Abstract

Abstract Climate models with identical anthropogenic forcings simulate different historical warming, mainly because aerosol forcing is poorly constrained. The role of uncertainty in regional aerosol forcing, however, has not been systematically studied. Using a large ensemble of CMIP6 models, I demonstrate that anthropogenic aerosol‐forced North Atlantic (NA) sea‐surface temperature variability significantly modulates greenhouse gas‐driven global‐mean surface air temperature (GMST) increases in historical simulations, explaining 6.8 (±0.7)% of the ensemble‐mean GMST change. This effect varies widely across models. Consequently, models with strong NA forcing tend to underestimate anthropogenic global warming, and vice‐versa, independent of climate sensitivity. The regional forcing variation is linked to a coherent hemispheric pattern, with the largest variations occurring near the anthropogenic aerosol source regions. Our results highlight the importance of regional aerosol forcing in understanding historical warming and, potentially, future projections, given the significant uncertainty in model simulations.

Geophysical Research LettersVol. 53(18)
CSIRO Oceans and Atmosphere (AU)
U.S. Department of Energy, Australian Government
Climate action
Openalex Percentile: Top 13%
Climate variability and models
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Impacts of Anthropogenic Aerosol‐Forced North Atlantic SST Variability on the Simulated Historical Global Warming — Harun Rashid · Geophysical Research Letters (2026) | TGRS Research Map | TGRS