Evidence map›Paper›PMID 36166478›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Potential for perceived failure of stratospheric aerosol injection deployment.

Patrick W Keys, Elizabeth A Barnes, Noah S Diffenbaugh, James W Hurrell, Curtis M Bell

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Robust Solar Radiation Modification Strategy for Achieving Temperature Targets.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
  2. Article
  3. Potential for perceived failure of stratospheric aerosol injection deployment.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Patrick W KeysDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO 80523.ORCID 0000-0002-7250-1563
Elizabeth A BarnesDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO 80523.
Noah S DiffenbaughDoerr School of Sustainability, Stanford University Stanford, CA 94305.ORCID 0000-0002-8856-4964
James W HurrellDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO 80523.ORCID 0000-0002-3169-6384
Curtis M BellInternational Programs Department, United States Naval War College, Newport, RI 02841.

Funding

DOD | Defense Advanced Research Projects Agency (DARPA) HR00112290071Stanford University (SU) N/A
6 · The paper itself

Abstract

As anthropogenic activities warm the Earth, the fundamental solution of reducing greenhouse gas emissions remains elusive. Given this mitigation gap, global warming may lead to intolerable climate changes as adaptive capacity is exceeded. Thus, there is emerging interest in solar radiation modification, which is the process of deliberately increasing Earth's albedo to cool the planet. Stratospheric aerosol injection (SAI)-the theoretical deployment of particles in the stratosphere to enhance reflection of incoming solar radiation-is one strategy to slow, pause, or reverse global warming. If SAI is ever pursued, it will likely be for a specific aim, such as affording time to implement mitigation strategies, lessening extremes, or reducing the odds of reaching a biogeophysical tipping point. Using an ensemble climate model experiment that simulates the deployment of SAI in the context of an intermediate greenhouse gas trajectory, we quantified the probability that internal climate variability masks the effectiveness of SAI deployment on regional temperatures. We found that while global temperature was stabilized, substantial land areas continued to experience warming. For example, in the SAI scenario we explored, up to 55% of the global population experienced rising temperatures over the decade following SAI deployment and large areas exhibited high probability of extremely hot years. These conditions could cause SAI to be perceived as a failure. Countries with the largest economies experienced some of the largest probabilities of this perceived failure. The potential for perceived failure could therefore have major implications for policy decisions in the years immediately following SAI deployment.

Indexed as

climate changeinternal climate variabilitymitigationperceptionsolar geoengineering

Identifiers

PMID36166478
PMCPMC9546631

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.