Maize Yield Changes Under Sulfate Aerosol Climate Intervention Using Three Global Gridded Crop Models

Abstract As the severity of climate change and its associated impacts continue to worsen, schemes for artificially cooling surface temperatures via planetary albedo modification are being studied. The method with the most attention in the literature is stratospheric sulfate aerosol intervention (SAI). Placing reflective aerosols in the stratosphere would have profound impacts on the entire Earth system, with potentially far‐reaching societal impacts. How global crop productivity would be affected by such an intervention strategy is still uncertain, and existing evidence is based on theoretical experiments or isolated modeling studies that use crop models missing key processes associated with SAI that affect plant growth, development, and ultimately yield. Here, we utilize three global gridded process‐based crop models to better understand the potential impacts of one SAI scenario on global maize productivity. Two of the crop models that simulate diffuse radiation fertilization show similar, yet small increases in global maize productivity from increased diffuse radiation. Three crop models show diverse responses to the same climate perturbation from SAI relative to the reference future climate change scenario. We find that future SAI implementation relative to a climate change scenario benefits global maize productivity ranging between 0% and 11% depending on the crop model. These production increases are attributed to reduced surface temperatures and higher fractions of diffuse radiation. The range across model outcomes highlights the need for more systematic multi‐model ensemble assessments using multiple climate model forcings under different SAI scenarios.

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Publication Details

Journal
Earth s Future
Published
2025-02-01
DOI
https://doi.org/10.1029/2024ef005269
Citations
4
Primary Topic
Climate Change and Geoengineering
Type
article
Field-Weighted Citation Impact
4.42

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article

Maize Yield Changes Under Sulfate Aerosol Climate Intervention Using Three Global Gridded Crop Models

Alan Robock, Lili Xia, Sam S. Rabin, Gerrit Hoogenboom et al.
4 citations
Earth s Future
Climate Change and Geoengineering
4.42
article

Maize Yield Changes Under Sulfate Aerosol Climate Intervention Using Three Global Gridded Crop Models

Alan Robock, Lili Xia, Sam S. Rabin, Gerrit Hoogenboom, Jonas Jägermeyr, B. E. Clark, Jose Rafael Guarin
article en
4 citations

Abstract

Abstract As the severity of climate change and its associated impacts continue to worsen, schemes for artificially cooling surface temperatures via planetary albedo modification are being studied. The method with the most attention in the literature is stratospheric sulfate aerosol intervention (SAI). Placing reflective aerosols in the stratosphere would have profound impacts on the entire Earth system, with potentially far‐reaching societal impacts. How global crop productivity would be affected by such an intervention strategy is still uncertain, and existing evidence is based on theoretical experiments or isolated modeling studies that use crop models missing key processes associated with SAI that affect plant growth, development, and ultimately yield. Here, we utilize three global gridded process‐based crop models to better understand the potential impacts of one SAI scenario on global maize productivity. Two of the crop models that simulate diffuse radiation fertilization show similar, yet small increases in global maize productivity from increased diffuse radiation. Three crop models show diverse responses to the same climate perturbation from SAI relative to the reference future climate change scenario. We find that future SAI implementation relative to a climate change scenario benefits global maize productivity ranging between 0% and 11% depending on the crop model. These production increases are attributed to reduced surface temperatures and higher fractions of diffuse radiation. The range across model outcomes highlights the need for more systematic multi‐model ensemble assessments using multiple climate model forcings under different SAI scenarios.

Earth s FutureVol. 13(2)
Rutgers, The State University of New Jersey (US), NSF National Center for Atmospheric Research (US), Goddard Institute for Space Studies (US), Leibniz Association (DE), University of Florida (US), NSF NCAR Climate and Global Dynamics Laboratory (US), Potsdam Institute for Climate Impact Research (DE), Columbia University (US)
National Science Foundation
Climate action
Openalex Percentile: Top 7%
Climate Change and Geoengineering
4.42
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