A protocol for model intercomparison of impacts of marine cloud brightening climate intervention

Journal Article · 07 November 2024 · Geoscientific Model Development (Online)

DOI: https://doi.org/10.5194/gmd-17-7963-2024 · OSTI ID:2478842

Rasch, Philip J.  ^[1]; Hirasawa, Haruki ^[2]; Wu, Mingxuan  ^[3]; Doherty, Sarah J. ^[1]; Wood, Robert  ^[1]; Wang, Hailong  ^[3]; Jones, Andy  ^[4]; Haywood, James  ^[5]; Singh, Hansi ^[6]

---

1. Univ. of Washington, Seattle, WA (United States)
2. Univ. of Washington, Seattle, WA (United States); Univ. of Victoria, BC (Canada)
3. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
4. Met Office Hadley Centre, Exeter (United Kingdom)
5. Univ. of Exeter (United Kingdom); Met Office Hadley Centre, Exeter (United Kingdom)
6. Univ. of Victoria, BC (Canada)

A modeling protocol (defined by a series of climate model simulations with specified model output) is introduced. Studies using these simulations are designed to improve the understanding of climate impacts using a strategy for climate intervention (CI) known as marine cloud brightening (MCB) in specific regions; therefore, the protocol is called MCB-REG (where REG stands for region). The model simulations are not intended to assess consequences of a realistic MCB deployment intended to achieve specific climate targets but instead to expose responses to interventions in six regions with pervasive cloud systems that are often considered candidates for such a deployment. A calibration step involving simulations with fixed sea surface temperatures (SSTs) is first used to identify a common forcing, and then coupled simulations with forcing in individual regions and combinations of regions are used to examine climate impacts. Synthetic estimates constructed by superposing responses from simulations with forcing in individual regions are considered a means of approximating the climate impacts produced when MCB interventions are introduced in multiple regions. A few results comparing simulations from three modern climate models (CESM2, E3SMv2, and UKESM1) are used to illustrate the similarities and differences between model behavior and the utility of estimates of MCB climate responses that were synthesized by summing responses introduced in individual regions. Cloud responses to aerosol injections differ substantially between models (CESM2 clouds appear much more susceptible to aerosol emissions than the other models), but patterns in precipitation and surface temperature responses were similar when forcing is imposed with similar amplitudes in the same regions. A previously identified La Niña-like response to forcing introduced in the Southeast Pacific is evident in this study, but the amplitude of the response was shown to markedly differ across the three models. Other common response patterns were also found and are discussed. Forcing in the Southeast Atlantic consistently (across all three models) produces weaker global cooling than that in other regions, and the Southeast Pacific and South Pacific show the strongest cooling. This indicates that the efficiency of a given intervention depends on not only the susceptibility of the clouds to aerosol perturbations, but also the strength of the underlying radiative feedbacks and ocean responses operating within each region. These responses were generally robust across models, but more studies and an examination of responses with ensembles would be beneficial.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Biological and Environmental Research (BER)
• Grant/Contract Number: AC05-76RL01830
• OSTI ID: 2478842
• Report Number(s): PNNL-SA--197080
• Journal Information: Geoscientific Model Development (Online), Journal Name: Geoscientific Model Development (Online) Journal Issue: 21 Vol. 17; ISSN 1991-9603
• Publisher: Copernicus Publications, EGUCopyright Statement
• Country of Publication: United States
• Language: English