PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 28, 2010Global Biogeochemical Cycles62 citationsOpen Access

Ocean‐atmosphere partitioning of anthropogenic carbon dioxide on multimillennial timescales

View Full Paper
PGPhilip GoodwinARAndy Ridgwell

Key Points

Key points are not available for this paper at this time.

Abstract

Ocean‐sediment and weathering interactions exert the primary control on how much anthropogenic‐emitted CO 2 remains in the atmosphere on timescales longer than about 1 kyr. Analytical theory is presented which predicts, from initial conditions, the remaining atmospheric fraction of emitted CO 2 after equilibrium with CaCO 3 burial in deep‐sea sediments but before silicate weathering removes all excess CO 2 on a >100 kyr timescale. The theoretical predictions of final atmospheric CO 2 partial pressure are tested against independent integrations of the GENIE‐1 Earth system model and are found to agree to within 10% for total emissions up to about 4000 PgC. The predicted theoretical relationship is linear and is based on the assumptions that ocean carbonate ion concentration is restored when CaCO 3 burial reaches a new steady state, and that the steady state change in global ocean CO 2 * is proportional to the change in atmospheric CO 2 ; where CO 2 * is the combined concentration of aqueous CO 2 and carbonic acid. We find that the residual fraction of anthropogenic CO 2 in the atmosphere can be determined without explicit use of ocean CO 3 2− , even though this concentration is known to be important in controlling the depth interval over which CaCO 3 ‐rich sediments accumulate. The simple theory developed here is particularly suited for efficient assessment of events recorded in the geological record as well as anthropogenic CO 2 influences on the long‐term stability of ice sheets.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Goodwin et al. (2010) studied this question.

synapsesocial.com/papers/6a12dc2d86514ddae6c0b1b5https://doi.org/10.1029/2008gb003449
Ask AI
Helpful
Bookmark
Share
View Full Paper