A Numerical reassessment of the Gulf of Mexico carbon system in connection with the Mississippi River and global ocean
Abstract 1/22 ∘ p 2, pH, aragonite saturation state (Ω Arag Ω Calc 2 air–sea flux, and carbon burial rate. The model's robustness is evaluated via extensive model–data comparison against buoys, remote-sensing-based machine learning (ML) products, and ship-based measurements. A reassessment of air–sea CO2 flux with previous modeling and observational studies gives us confidence that our model provides a robust and updated CO2 flux estimation, and NGoM is a stronger carbon sink than previously reported. Model results reveal that the GoM water has been experiencing a ∼ - 1 ∼ µ atm yr- 1 p 2. The air–sea CO2 exchange estimation confirms in accordance with several previous models and ocean surface p 2 observations that the river-dominated northern GoM (NGoM) is a substantial carbon sink, and the open GoM is a carbon source during summer and a carbon sink for the rest of the year. Sensitivity experiments are conducted to evaluate the impacts of river inputs and the global ocean via model boundaries. The NGoM carbon system is directly modified by the enormous carbon inputs (∼ - 1 ∼ - 1 ∼ 105 times higher particulate organic matter burial rate in NGoM sediment than in the case without river-delivered nutrients. The carbon system condition of the open ocean is driven by inputs from the Caribbean Sea via the Yucatan Channel and is affected more by thermal effects than biological factors.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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A Numerical reassessment of the Gulf of Mexico carbon system in connection with the Mississippi River and global ocean ; volume:19 ; number:18 ; year:2022 ; pages:4589-4618 ; extent:30
Biogeosciences ; 19, Heft 18 (2022), 4589-4618 (gesamt 30)
- Urheber
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Zhang, Le
Xue, Z. George
- DOI
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10.5194/bg-19-4589-2022
- URN
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urn:nbn:de:101:1-2022092905150618802157
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:36 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Zhang, Le
- Xue, Z. George
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