Adjustments to an abrupt solar forcing in the CMIP6 abrupt-solm4p experiment

Lange, Charlotte; Quaas, Johannes

doi:https://doi.org/10.5194/acp-25-10337-2025

Articles | Volume 25, issue 17

https://doi.org/10.5194/acp-25-10337-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-25-10337-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 17

Research article

|

11 Sep 2025

Research article |

| 11 Sep 2025

Adjustments to an abrupt solar forcing in the CMIP6 abrupt-solm4p experiment

Charlotte Lange and Johannes Quaas

Data sets

CCCma CanESM5 model output prepared for CMIP6 CFMIP abrupt-solm4p J. N. S. Cole et al. https://doi.org/10.22033/ESGF/CMIP6.3533

NCAR CESM2 model output prepared for CMIP6 CFMIP abrupt-solm4p G. Danabasoglu https://doi.org/10.22033/ESGF/CMIP6.7520

IPSL IPSL-CM6A-LR model output prepared for CMIP6 CFMIP abrupt-solm4p O. Boucher https://doi.org/10.22033/ESGF/CMIP6.5110

MRI MRI-ESM2.0 model output prepared for CMIP6 CFMIP abrupt-solm4p S. Yukimoto et al. https://doi.org/10.22033/ESGF/CMIP6.6756

CCCma CanESM5 model output prepared for CMIP6 CMIP piControl N. C. Swart et al. https://doi.org/10.22033/ESGF/CMIP6.3673

NCAR CESM2 model output prepared for CMIP6 CMIP piControl G. Danabasoglu https://doi.org/10.22033/ESGF/CMIP6.7733

IPSL IPSL-CM6A-LR model output prepared for CMIP6 CMIP piControl O. Boucher https://doi.org/10.22033/ESGF/CMIP6.5251

MRI MRI-ESM2.0 model output prepared for CMIP6 CMIP piControl S. Yukimoto et al. https://doi.org/10.22033/ESGF/CMIP6.6900

Short summary

We studied how the Earth’s climate system adjusts to sudden changes in the energy budget by analysing data of four climate models, which simulated a 4 % reduction in incoming solar energy. We found rapid cooling of the atmosphere and shifts in cloud cover and atmospheric circulation patterns like land–sea circulation. Our research helps to better understand cloud adjustments, which are a major source of uncertainty in climate models. This can improve future climate predictions.