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Human and natural influences on the changing thermal structure of the atmosphere

Benjamin D. Santer, Jeffrey F. Painter, Céline Bonfils, Carl A. Mears, Susan Solomon, Tom M. L. Wigley, Peter J. Gleckler, Gavin A. Schmidt, Charles Doutriaux, Nathan P. Gillett, Karl E. Taylor, Peter W. Thorne and Frank J. Wentz
PNAS September 16, 2013. 201305332; published ahead of print September 16, 2013. https://doi.org/10.1073/pnas.1305332110
Benjamin D. Santer
aProgram for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA 94550;
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  • For correspondence: santer1@llnl.gov
Jeffrey F. Painter
aProgram for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA 94550;
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Céline Bonfils
aProgram for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA 94550;
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Carl A. Mears
bRemote Sensing Systems, Santa Rosa, CA 95401;
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Susan Solomon
cEarth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139;
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Tom M. L. Wigley
dNational Center for Atmospheric Research, Boulder, CO 80307;eSchool of Earth and Environmental Sciences, University of Adelaide, Adelaide, SA 5005, Australia;
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Peter J. Gleckler
aProgram for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA 94550;
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Gavin A. Schmidt
fNational Aeronautics and Space Administration/Goddard Institute for Space Studies, New York, NY 10025;
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Charles Doutriaux
aProgram for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA 94550;
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Nathan P. Gillett
gCanadian Centre for Climate Modelling and Analysis, Environment Canada, Victoria, BC, Canada V8W 2Y2; and
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Karl E. Taylor
aProgram for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA 94550;
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Peter W. Thorne
hNansen Environmental and Remote Sensing Center, N-5006 Bergen, Norway
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Frank J. Wentz
bRemote Sensing Systems, Santa Rosa, CA 95401;
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  1. Edited by John M. Wallace, University of Washington, Seattle, WA, and approved August 8, 2013 (received for review March 20, 2013)

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Significance

Observational satellite data and the model-predicted response to human influence have a common latitude/altitude pattern of atmospheric temperature change. The key features of this pattern are global-scale tropospheric warming and stratospheric cooling over the 34-y satellite temperature record. We show that current climate models are highly unlikely to produce this distinctive signal pattern by internal variability alone, or in response to naturally forced changes in solar output and volcanic aerosol loadings. We detect a “human influence” signal in all cases, even if we test against natural variability estimates with much larger fluctuations in solar and volcanic influences than those observed since 1979. These results highlight the very unusual nature of observed changes in atmospheric temperature.

Abstract

Since the late 1970s, satellite-based instruments have monitored global changes in atmospheric temperature. These measurements reveal multidecadal tropospheric warming and stratospheric cooling, punctuated by short-term volcanic signals of reverse sign. Similar long- and short-term temperature signals occur in model simulations driven by human-caused changes in atmospheric composition and natural variations in volcanic aerosols. Most previous comparisons of modeled and observed atmospheric temperature changes have used results from individual models and individual observational records. In contrast, we rely on a large multimodel archive and multiple observational datasets. We show that a human-caused latitude/altitude pattern of atmospheric temperature change can be identified with high statistical confidence in satellite data. Results are robust to current uncertainties in models and observations. Virtually all previous research in this area has attempted to discriminate an anthropogenic signal from internal variability. Here, we present evidence that a human-caused signal can also be identified relative to the larger “total” natural variability arising from sources internal to the climate system, solar irradiance changes, and volcanic forcing. Consistent signal identification occurs because both internal and total natural variability (as simulated by state-of-the-art models) cannot produce sustained global-scale tropospheric warming and stratospheric cooling. Our results provide clear evidence for a discernible human influence on the thermal structure of the atmosphere.

  • climate change detection
  • climate modeling

Footnotes

  • ↵1To whom correspondence should be addressed. E-mail: santer1{at}llnl.gov.
  • Author contributions: B.D.S., C.B., C.A.M., S.S., T.M.L.W., K.E.T., P.W.T., and F.J.W. designed research; B.D.S., J.F.P., C.B., C.A.M., P.J.G., G.A.S., and C.D. performed research; B.D.S., C.B., C.A.M., S.S., T.M.L.W., G.A.S., K.E.T., and P.W.T. analyzed data; B.D.S., C.B., S.S., T.M.L.W., G.A.S., N.P.G., and P.W.T. wrote the paper; and C.A.M. and F.J.W. provided key satellite datasets.

  • The authors declare no conflict of interest.

  • This article is a PNAS Direct Submission.

  • This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1305332110/-/DCSupplemental.

Freely available online through the PNAS open access option.

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Human influences on atmospheric temperature
Benjamin D. Santer, Jeffrey F. Painter, Céline Bonfils, Carl A. Mears, Susan Solomon, Tom M. L. Wigley, Peter J. Gleckler, Gavin A. Schmidt, Charles Doutriaux, Nathan P. Gillett, Karl E. Taylor, Peter W. Thorne, Frank J. Wentz
Proceedings of the National Academy of Sciences Sep 2013, 201305332; DOI: 10.1073/pnas.1305332110

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Human influences on atmospheric temperature
Benjamin D. Santer, Jeffrey F. Painter, Céline Bonfils, Carl A. Mears, Susan Solomon, Tom M. L. Wigley, Peter J. Gleckler, Gavin A. Schmidt, Charles Doutriaux, Nathan P. Gillett, Karl E. Taylor, Peter W. Thorne, Frank J. Wentz
Proceedings of the National Academy of Sciences Sep 2013, 201305332; DOI: 10.1073/pnas.1305332110
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