Human influence on the seasonal cycle of tropospheric temperature

Author:

Santer Benjamin D.1ORCID,Po-Chedley Stephen1ORCID,Zelinka Mark D.1,Cvijanovic Ivana1ORCID,Bonfils Céline1,Durack Paul J.1ORCID,Fu Qiang2,Kiehl Jeffrey3ORCID,Mears Carl4ORCID,Painter Jeffrey1ORCID,Pallotta Giuliana1ORCID,Solomon Susan5ORCID,Wentz Frank J.4,Zou Cheng-Zhi6ORCID

Affiliation:

1. Program for Climate Model Diagnosis and Intercomparison (PCMDI), Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.

2. Department of Atmospheric Sciences, University of Washington, Seattle, WA 98195, USA.

3. Earth and Planetary Sciences, University of California, Santa Cruz, CA 95064, USA.

4. Remote Sensing Systems, Santa Rosa, CA 95401, USA.

5. Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

6. Center for Satellite Applications and Research, NOAA/NESDIS, College Park, MD 20740, USA.

Abstract

'Tis the seasonal Anthropogenic climate change has become clearly observable through many metrics. These include an increase in global annual temperatures, growing heat content of the oceans, and sea level rise owing to the melting of the polar ice sheets and glaciers. Now, Santer et al. report that a human-caused signal in the seasonal cycle of tropospheric temperature can also be measured (see the Perspective by Randel). They use satellite data and the anthropogenic “fingerprint” predicted by climate models to show the extent of the effects and discuss how these changes have been caused. Science , this issue p. eaas8806 ; see also p. 227

Funder

U.S. Department of Energy

National Aeronautics and Space Administration

Lawrence Livermore National Lab LDRD Program

M.I.T. Lee and Geraldine Martin Professorship

Lawrence Livermore National Laboratory LDRD Program

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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3. M. C. MacCracken H. Moses First Detection of Carbon Dioxide Effects: Workshop Summary (1982); www.osti.gov/scitech/biblio/5590773.

4. Detecting Greenhouse-Gas-Induced Climate Change with an Optimal Fingerprint Method

5. A search for human influences on the thermal structure of the atmosphere

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