G6-1.5K-MCB: Marine Cloud Brightening scenario design  for the Geoengineering Model Intercomparison Project  (GeoMIP) in CESM2.1, E3SMv2.0, and UKESM1.1

Hirasawa, Haruki; Henry, Matthew; Rasch, Philip J.; Wood, Robert; Doherty, Sarah J.; Haywood, James; Wong, Alex; Lamarque, Jean-Francois; Brody, Ezra; Wang, Hailong

doi:10.5194/gmd-19-3257-2026

Articles | Volume 19, issue 8

https://doi.org/10.5194/gmd-19-3257-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-3257-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 8

Model experiment description paper

|

24 Apr 2026

Model experiment description paper |

| 24 Apr 2026

G6-1.5K-MCB: Marine Cloud Brightening scenario design for the Geoengineering Model Intercomparison Project (GeoMIP) in CESM2.1, E3SMv2.0, and UKESM1.1

Haruki Hirasawa, Matthew Henry, Philip J. Rasch, Robert Wood, Sarah J. Doherty, James Haywood, Alex Wong, Jean-Francois Lamarque, Ezra Brody, and Hailong Wang

Data sets

Data for "G6-1.5K-MCB: Marine Cloud Brightening Scenario design for the Geoengineering Model Intercomparison Project (GeoMIP)" Haruki Hirasawa et al. https://doi.org/10.5281/zenodo.17525291

Model code and software

Energy Exascale Earth System Model version 2.0 United States Department of Energy https://doi.org/10.11578/E3SM/dc.20210927.1

haruki-hirasawa/CESM2.1.5: CESM2.1.3 Fork for GMD (release-cesm2.1.3) fischer-ncar et al. https://doi.org/10.5281/zenodo.17574153

Short summary

Marine cloud brightening (MCB) is a proposal to emit sea salt aerosols to make clouds more reflective and cool the climate. Here, we use three climate models to study a hypothetical future where MCB is used to maintain temperatures near 2020–2039 conditions. The simulation results indicate that using MCB in midlatitude ocean regions can keep the climate close to present day conditions. This reduces many of the negative impacts shown in previous studies, informing future modeling efforts.