The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Anthropogenic Warming of Earth's Climate System
Abstract
We compared the temporal variability of the heat content of the world ocean, of the global atmosphere, and of components of Earth's cryosphere during the latter half of the 20th century. Each component has increased its heat content (the atmosphere and the ocean) or exhibited melting (the cryosphere). The estimated increase of observed global ocean heat content (over the depth range from 0 to 3000 meters) between the 1950s and 1990s is at least one order of magnitude larger than the increase in heat content of any other component. Simulation results using an atmosphere-ocean general circulation model that includes estimates of the radiative effects of observed temporal variations in greenhouse gases, sulfate aerosols, solar irradiance, and volcanic aerosols over the past century agree with our observation-based estimate of the increase in ocean heat content. The results we present suggest that the observed increase in ocean heat content may largely be due to the increase of anthropogenic gases in Earth's atmosphere.
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Cites
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Cited by
Aerosols, Climate, and the Hydrological Cycle
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Global patterns and predictors of marine biodiversity across taxa
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Metadata
- Authors
- Levitus, S., Antonov, J. I., Wang, J., Delworth, T. L., Dixon, K. W., & Broccoli, A. J.
- Venue
- Science
- Published
- 2001-04-13
- Volume
- 292
- Issue
- 5515
- Pages
- 267-270
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2027543152
- Cited by
- 543
- References
- 21
- FWCI
- 45.77
- Type
- journal article
- Language
- en
- Open access
- closed
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- Levitus, S., Antonov, J. I., Wang, J., Delworth, T. L., Dixon, K. W., & Broccoli, A. J. (2001). Anthropogenic Warming of Earth's Climate System. Science. https://doi.org/10.1126/science.1058154
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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.
