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Cited by 1,056

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Global warming in the twenty-first century: An alternative scenario

Open access
Hansen, James, Sato, Makiko, Ruedy, Reto, Lacis, Andrew, Oinas, Valdar·2000·Proceedings of the National Academy of Sciences

Abstract

A common view is that the current global warming rate will continue or accelerate. But we argue that rapid warming in recent decades has been driven mainly by non-CO 2 greenhouse gases (GHGs), such as chlorofluorocarbons, CH 4 , and N 2 O, not by the products of fossil fuel burning, CO 2 and aerosols, the positive and negative climate forcings of which are partially offsetting. The growth rate of non-CO 2 GHGs has declined in the past decade. If sources of CH 4 and O 3 precursors were reduced in the future, the change in climate forcing by non-CO 2 GHGs in the next 50 years could be near zero. Combined with a reduction of black carbon emissions and plausible success in slowing CO 2 emissions, this reduction of non-CO 2 GHGs could lead to a decline in the rate of global warming, reducing the danger of dramatic climate change. Such a focus on air pollution has practical benefits that unite the interests of developed and developing countries. However, assessment of ongoing and future climate change requires composition-specific long-term global monitoring of aerosol properties.

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Metadata

Authors
Hansen, J., Sato, M., Ruedy, R., Lacis, A., & Oinas, V.
Venue
Proceedings of the National Academy of Sciences
Published
2000-08-15
Volume
97
Issue
18
Pages
9875-9880
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1988473208
Cited by
1,056
References
2
FWCI
58.59
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Global warming in the twenty-first century: An alternative scenario. https://app.cochat.ai/papers/10.1073/pnas.170278997
The paper
Hansen, J., Sato, M., Ruedy, R., Lacis, A., & Oinas, V. (2000). Global warming in the twenty-first century: An alternative scenario. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.170278997

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.