The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Ocean methane hydrates as a slow tipping point in the global carbon cycle
Open accessAbstract
We present a model of the global methane inventory as hydrate and bubbles below the sea floor. The model predicts the inventory of CH 4 in the ocean today to be ≈1600–2,000 Pg of C. Most of the hydrate in the model is in the Pacific, in large part because lower oxygen levels enhance the preservation of organic carbon. Because the oxygen concentration today may be different from the long-term average, the sensitivity of the model to O 2 is a source of uncertainty in predicting hydrate inventories. Cold water column temperatures in the high latitudes lead to buildup of hydrates in the Arctic and Antarctic at shallower depths than is possible in low latitudes. A critical bubble volume fraction threshold has been proposed as a critical threshold at which gas migrates all through the sediment column. Our model lacks many factors that lead to heterogeneity in the real hydrate reservoir in the ocean, such as preferential hydrate formation in sandy sediments and subsurface gas migration, and is therefore conservative in its prediction of releasable methane, finding only 35 Pg of C released after 3 °C of uniform warming by using a 10% critical bubble volume. If 2.5% bubble volume is taken as critical, then 940 Pg of C might escape in response to 3 °C warming. This hydrate model embedded into a global climate model predicts ≈0.4–0.5 °C additional warming from the hydrate response to fossil fuel CO 2 release, initially because of methane, but persisting through the 10-kyr duration of the simulations because of the CO 2 oxidation product of methane.
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Cites
Climate–Carbon Cycle Feedback Analysis: Results from the C4MIP Model Intercomparison
Friedlingstein, P., Cox, P., Betts, R., Bopp, L., von Bloh, W., Brovkin, V., Cadule, P., Doney, S., Eby, M., Fung, I., et al. (2006) · Journal of Climate · doi:10.1175/jcli3800.1 · Cited by 2,902
Self-citationFate of fossil fuel CO2 in geologic time
Archer, D. (2005) · Journal of Geophysical Research: Oceans · doi:10.1029/2004jc002625 · Cited by 620
Self-citation
Cited by
Exceeding 1.5°C global warming could trigger multiple climate tipping points
Armstrong McKay, D. I., Staal, A., Abrams, J. F., Winkelmann, R., Sakschewski, B., Loriani, S., Fetzer, I., Cornell, S. E., Rockström, J., & Lenton, T. M. (2022) · Science · doi:10.1126/science.abn7950 · Cited by 1,931
Assessing ocean alkalinity for carbon sequestration
Renforth, P., & Henderson, G. (2017) · Reviews of Geophysics · doi:10.1002/2016rg000533 · Cited by 655
“This event is thought to have been triggered by a massive release of C to the ocean-atmosphere system (>2,000 Gt C) probably from catastrophic breakdown of methane clathrates [Archer et al., 2009].”
BackgroundCatalogue of abrupt shifts in Intergovernmental Panel on Climate Change climate models
Drijfhout, S., Bathiany, S., Beaulieu, C., Brovkin, V., Claussen, M., Huntingford, C., Scheffer, M., Sgubin, G., & Swingedouw, D. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1511451112 · Cited by 332
Self-citationLegendre, L., Rivkin, R. B., Weinbauer, M. G., Guidi, L., & Uitz, J. (2015) · Progress In Oceanography · doi:10.1016/j.pocean.2015.01.008 · Cited by 215
Causal feedbacks in climate change
van Nes, E. H., Scheffer, M., Brovkin, V., Lenton, T. M., Ye, H., Deyle, E., & Sugihara, G. (2015) · Nature Climate Change · doi:10.1038/nclimate2568 · Cited by 170
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Metadata
- Authors
- Archer, D., Buffett, B., & Brovkin, V.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2009-12-08
- Volume
- 106
- Issue
- 49
- Pages
- 20596-20601
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2062393229
- Cited by
- 386
- References
- 2
- FWCI
- 11.46
- Type
- journal article
- Language
- en
- Open access
- green
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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.