Evidence map›Paper›PMID 35939702›Full record

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

Scenarios for modeling solar radiation modification.

D G MacMartin, D Visioni, B Kravitz, J H Richter, T Felgenhauer, W R Lee, D R Morrow, E A Parson, M Sugiyama

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Environmental consequences of interacting effects of changes in stratospheric ozone, ultraviolet radiation, and climate: UNEP Environmental Effects Assessment Panel, Update 2024.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Scenarios for modeling solar radiation modification.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

9 authors.

D G MacMartinSibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853.ORCID 0000-0003-1987-9417
D VisioniSibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853.ORCID 0000-0002-7342-2189
B KravitzDepartment of Earth and Atmospheric Sciences, Indiana University, Bloomington, IN 47405.ORCID 0000-0001-6318-1150
J H RichterClimate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO 80305.
T FelgenhauerDuke Center on Risk, Duke University, Durham, NC 27701.ORCID 0000-0001-9122-0444
W R LeeSibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853.
D R MorrowSchool of International Service, American University, Washington, DC 20016.
E A ParsonEmmett Institute on Climate Change and the Environment, University of California Los Angeles, CA 90095.
M SugiyamaInstitute for Future Initiatives, University of Tokyo, Tokyo 113-8654, Japan.ORCID 0000-0002-2038-1045

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Making informed future decisions about solar radiation modification (SRM; also known as solar geoengineering)-approaches such as stratospheric aerosol injection (SAI) that would cool the climate by reflecting sunlight-requires projections of the climate response and associated human and ecosystem impacts. These projections, in turn, will rely on simulations with global climate models. As with climate-change projections, these simulations need to adequately span a range of possible futures, describing different choices, such as start date and temperature target, as well as risks, such as termination or interruptions. SRM modeling simulations to date typically consider only a single scenario, often with some unrealistic or arbitrarily chosen elements (such as starting deployment in 2020), and have often been chosen based on scientific rather than policy-relevant considerations (e.g., choosing quite substantial cooling specifically to achieve a bigger response). This limits the ability to compare risks both between SRM and non-SRM scenarios and between different SRM scenarios. To address this gap, we begin by outlining some general considerations on scenario design for SRM. We then describe a specific set of scenarios to capture a range of possible policy choices and uncertainties and present corresponding SAI simulations intended for broad community use.

Indexed as

Climate ChangeEcosystemSolar EnergyAerosolsClimateHumansAerosolsclimate engineeringclimate interventionscenariossolar geoengineeringsolar radiation modification

Identifiers

PMID35939702
PMCPMC9388149

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.