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Cited by 231

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

Predicting Future Atmospheric Carbon Dioxide Levels: The predictions provide a basis for evaluating the possible impact of the continuing use of fossil fuel.

Open access
Siegenthaler, U., Oeschger, H.·1978·Science
DOI 10.1126/science.199.4327.388
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Abstract

Results from different models for the natural carbon dioxide cycle are compared. Special emphasis is given to the type of ocean modeling (diffusive deep-sea or two-box ocean), behavior of the biosphere, and value of the oceanic buffer factor against carbon dioxide uptake. According to the most probable models, the fraction of the cumulative production remaining airborne will be between 46 and 80 percent 100 years from now for any realistic assumptions concerning future carbon dioxide production. For a prescribed maximum increase of 50 percent above the preindustrial carbon dioxide level, the production could grow by about 50 percent until the beginning of the next century, but should then decrease rapidly.

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Citations

Cites

Show all 2 references

Research works printed but not linked: 34

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Metadata

Authors
Siegenthaler, U., & Oeschger, H.
Venue
Science
Publisher
American Association for the Advancement of Science (AAAS)
Published
1978-01-27
Volume
199
Issue
4327
Pages
388-395
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
DOI
10.1126/science.199.4327.388
OpenAlex
W2059708410
Cited by
231
References
2
FWCI
62.90
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Predicting Future Atmospheric Carbon Dioxide Levels: The predictions provide a basis for evaluating the possible impact of the continuing use of fossil fuel. https://app.cochat.ai/papers/10.1126/science.199.4327.388
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Siegenthaler, U., & Oeschger, H. (1978). Predicting Future Atmospheric Carbon Dioxide Levels: The predictions provide a basis for evaluating the possible impact of the continuing use of fossil fuel. Science. https://doi.org/10.1126/science.199.4327.388

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.