Cited by 296Climate Change and GeoengineeringAtmospheric aerosols and cloudsClimate variability and models

CESM1(WACCM) Stratospheric Aerosol Geoengineering Large Ensemble Project

Open access
Tilmes, Simone, Richter, Jadwiga H., Kravitz, Ben, MacMartin, Douglas G., Mills, Michael J., Simpson, Isla R., Glanville, Anne S., Fasullo, John T. +6 more·2018·Bulletin of the American Meteorological Society

Abstract

Abstract This paper describes the Stratospheric Aerosol Geoengineering Large Ensemble (GLENS) project, which promotes the use of a unique model dataset, performed with the Community Earth System Model, with the Whole Atmosphere Community Climate Model as its atmospheric component [CESM1(WACCM)], to investigate global and regional impacts of geoengineering. The performed simulations were designed to achieve multiple simultaneous climate goals, by strategically placing sulfur injections at four different locations in the stratosphere, unlike many earlier studies that targeted globally averaged surface temperature by placing injections in regions at or around the equator. This advanced approach reduces some of the previously found adverse effects of stratospheric aerosol geoengineering, including uneven cooling between the poles and the equator and shifts in tropical precipitation. The 20-member ensemble increases the ability to distinguish between forced changes and changes due to climate variability in global and regional climate variables in the coupled atmosphere, land, sea ice, and ocean system. We invite the broader community to perform in-depth analyses of climate-related impacts and to identify processes that lead to changes in the climate system as the result of a strategic application of stratospheric aerosol geoengineering.

Integrity signals

Registry

Crossref · 10.1175/bams-d-17-0267.1

Cites

36 of 36 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Tilmes, S., Richter, J. H., Kravitz, B., MacMartin, D. G., Mills, M. J., Simpson, I. R., Glanville, A. S., Fasullo, J. T., Phillips, A. S., Lamarque, J.-F., Tribbia, J., Edwards, J., Mickelson, S., & Ghosh, S.
Affiliations
  • NSF National Center for Atmospheric Research (US)
  • Pacific Northwest National Laboratory (US)
  • California Institute of Technology (US)
  • Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, Colorado
Venue
Bulletin of the American Meteorological Society
Published
2018-11
Volume
99
Issue
11
Pages
2361-2371
ISSN
  • 0003-0007 (ISSN-L)
  • 1520-0477
OpenAlex
W2803566343
Cited by
296
References
36
Citations by year
2026: 27 · 2025: 40 · 2024: 36 · 2023: 53 · 2022: 54 · 2021: 47 · 2020: 21 · 2019: 10 · 2018: 8
FWCI
12.58
Type
journal article
Language
en
Open access
Locations
  • Bulletin of the American Meteorological Society (publishedVersion)
  • CaltechAUTHORS (California Institute of Technology) (submittedVersion)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate Change and Geoengineering
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
Keywords
stratospheric aerosol geoengineering, solar geoengineering, large ensemble simulations, regional climate impacts, climate variability

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review