Assessing Outcomes in Stratospheric Aerosol Injection Scenarios Shortly After Deployment

Abstract Stratospheric aerosol injection (SAI) is a proposed form of climate intervention that would release reflective particles into the stratosphere, thereby reducing solar insolation and cooling the planet. The climate response to SAI is not well understood, particularly on short‐term time horiz...

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Main Authors: Daniel M. Hueholt, Elizabeth A. Barnes, James W. Hurrell, Jadwiga H. Richter, Lantao Sun
Format: Article
Language:English
Published: Wiley 2023-05-01
Series:Earth's Future
Subjects:
Online Access:https://doi.org/10.1029/2023EF003488
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author Daniel M. Hueholt
Elizabeth A. Barnes
James W. Hurrell
Jadwiga H. Richter
Lantao Sun
author_facet Daniel M. Hueholt
Elizabeth A. Barnes
James W. Hurrell
Jadwiga H. Richter
Lantao Sun
author_sort Daniel M. Hueholt
collection DOAJ
description Abstract Stratospheric aerosol injection (SAI) is a proposed form of climate intervention that would release reflective particles into the stratosphere, thereby reducing solar insolation and cooling the planet. The climate response to SAI is not well understood, particularly on short‐term time horizons frequently used by decision‐makers and planning practitioners to assess climate information. We demonstrate two framings to explore the climate response in the decade after SAI deployment in modeling experiments with parallel SAI and no‐SAI simulations. The first framing, which we call a snapshot around deployment, displays change over time within the SAI scenarios and applies to the question “What happens before and after SAI is deployed in the model?” The second framing, the intervention impact, displays the difference between the SAI and no‐SAI simulations, corresponding to the question “What is the impact of a given intervention relative to climate change with no intervention?” We apply these framings to annual mean 2 m temperature, precipitation, and a precipitation extreme during the 10 yr after deployment in two large ensembles of Earth system model simulations that comprehensively represent both the SAI injection process and climate response, and connect these results to implications for other climate variables. We show that SAI deployment robustly reduces changes in many high‐impact climate variables even on these short timescales where the forced response is relatively small, but that details of the climate response depend on the model version, greenhouse gas emissions scenario, and other aspects of the experimental design.
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spelling doaj.art-bbc946a32587490e92626adbcfc71c202023-05-25T19:52:33ZengWileyEarth's Future2328-42772023-05-01115n/an/a10.1029/2023EF003488Assessing Outcomes in Stratospheric Aerosol Injection Scenarios Shortly After DeploymentDaniel M. Hueholt0Elizabeth A. Barnes1James W. Hurrell2Jadwiga H. Richter3Lantao Sun4Department of Atmospheric Science Colorado State University Fort Collins CO USADepartment of Atmospheric Science Colorado State University Fort Collins CO USADepartment of Atmospheric Science Colorado State University Fort Collins CO USAClimate and Global Dynamics Laboratory National Center for Atmospheric Research Boulder CO USADepartment of Atmospheric Science Colorado State University Fort Collins CO USAAbstract Stratospheric aerosol injection (SAI) is a proposed form of climate intervention that would release reflective particles into the stratosphere, thereby reducing solar insolation and cooling the planet. The climate response to SAI is not well understood, particularly on short‐term time horizons frequently used by decision‐makers and planning practitioners to assess climate information. We demonstrate two framings to explore the climate response in the decade after SAI deployment in modeling experiments with parallel SAI and no‐SAI simulations. The first framing, which we call a snapshot around deployment, displays change over time within the SAI scenarios and applies to the question “What happens before and after SAI is deployed in the model?” The second framing, the intervention impact, displays the difference between the SAI and no‐SAI simulations, corresponding to the question “What is the impact of a given intervention relative to climate change with no intervention?” We apply these framings to annual mean 2 m temperature, precipitation, and a precipitation extreme during the 10 yr after deployment in two large ensembles of Earth system model simulations that comprehensively represent both the SAI injection process and climate response, and connect these results to implications for other climate variables. We show that SAI deployment robustly reduces changes in many high‐impact climate variables even on these short timescales where the forced response is relatively small, but that details of the climate response depend on the model version, greenhouse gas emissions scenario, and other aspects of the experimental design.https://doi.org/10.1029/2023EF003488climate interventionclimate changestratospheric aerosol injectionclimate impactsclimategeoengineering
spellingShingle Daniel M. Hueholt
Elizabeth A. Barnes
James W. Hurrell
Jadwiga H. Richter
Lantao Sun
Assessing Outcomes in Stratospheric Aerosol Injection Scenarios Shortly After Deployment
Earth's Future
climate intervention
climate change
stratospheric aerosol injection
climate impacts
climate
geoengineering
title Assessing Outcomes in Stratospheric Aerosol Injection Scenarios Shortly After Deployment
title_full Assessing Outcomes in Stratospheric Aerosol Injection Scenarios Shortly After Deployment
title_fullStr Assessing Outcomes in Stratospheric Aerosol Injection Scenarios Shortly After Deployment
title_full_unstemmed Assessing Outcomes in Stratospheric Aerosol Injection Scenarios Shortly After Deployment
title_short Assessing Outcomes in Stratospheric Aerosol Injection Scenarios Shortly After Deployment
title_sort assessing outcomes in stratospheric aerosol injection scenarios shortly after deployment
topic climate intervention
climate change
stratospheric aerosol injection
climate impacts
climate
geoengineering
url https://doi.org/10.1029/2023EF003488
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AT elizabethabarnes assessingoutcomesinstratosphericaerosolinjectionscenariosshortlyafterdeployment
AT jameswhurrell assessingoutcomesinstratosphericaerosolinjectionscenariosshortlyafterdeployment
AT jadwigahrichter assessingoutcomesinstratosphericaerosolinjectionscenariosshortlyafterdeployment
AT lantaosun assessingoutcomesinstratosphericaerosolinjectionscenariosshortlyafterdeployment