Robust detection of forced warming in the presence of potentially large climate variability-Reference-Cited by-同舟云学术

Robust detection of forced warming in the presence of potentially large climate variability

Published:2021-10-22 Issue:43 Volume:7 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Sippel Sebastian¹²^ORCID,Meinshausen Nicolai²,Székely Enikő³^ORCID,Fischer Erich¹^ORCID,Pendergrass Angeline G.¹⁴⁵^ORCID,Lehner Flavio¹⁴⁵^ORCID,Knutti Reto¹^ORCID

Affiliation:

1. Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland.

2. Seminar for Statistics, ETH Zurich, Zurich, Switzerland.

3. Swiss Data Science Center, ETH Zurich and EPFL, Lausanne, Switzerland.

4. Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY 14850, USA.

5. Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO 80305, USA.

Abstract

Forced climate warming can now be identified using statistical learning even under potentially large climate variability.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference80 articles.

1. P. A. Stott K. M. Achuta Rao M. R. Allen N. Gillett D. Gutzler K. Hansingo G. Hegerl Y. Hu S. Jain I. I. Mokhov J. Overland J. Perlwitz R. Sebbari X. Zhang Climate Change 2013 – The Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (Cambridge University Press 2014) chap. Detection and Attribution of Climate Change: From Global to Regional pp. 867–952.

2. Optimal Fingerprints for the Detection of Time-dependent Climate Change

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

4. Human influence on the seasonal cycle of tropospheric temperature

5. Celebrating the anniversary of three key events in climate change science

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