Dataset Information

Quantification of Chaotic Intrinsic Variability of Sea-Air CO₂ Fluxes at Interannual Timescales.

ABSTRACT: Chaotic intrinsic variability (CIV) emerges spontaneously from nonlinear ocean dynamics even without any atmospheric variability. Eddy-permitting numerical simulations suggest that CIV is a significant contributor to the interannual to decadal variability of physical properties. Here we show from an ensemble of global ocean eddy-permitting simulations that large-scale interannual CIV propagates from physical properties to sea-air CO₂ fluxes in areas of high mesoscale eddy activity (e.g., Southern Ocean and western boundary currents). In these regions and at scales larger than 500 km (~5°), CIV contributes significantly to the interannual variability of sea-air CO₂ fluxes. Between 35°S and 45°S (midlatitude Southern Ocean), CIV amounts to 23.76 TgC yr^-1 or one half of the atmospherically forced variability. Locally, its contribution to the total interannual variance of sea-air CO₂ fluxes exceeds 76%. Outside eddy-active regions its contribution to total interannual variability is below 16%.

SUBMITTER: Gehlen M

PROVIDER: S-EPMC7757255 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Quantification of Chaotic Intrinsic Variability of Sea-Air CO<sub>2</sub> Fluxes at Interannual Timescales.

Gehlen M M Berthet S S Séférian R R Ethé Ch C Penduff T T

Geophysical research letters 20201110 22

Chaotic intrinsic variability (CIV) emerges spontaneously from nonlinear ocean dynamics even without any atmospheric variability. Eddy-permitting numerical simulations suggest that CIV is a significant contributor to the interannual to decadal variability of physical properties. Here we show from an ensemble of global ocean eddy-permitting simulations that large-scale interannual CIV propagates from physical properties to sea-air CO<sub>2</sub> fluxes in areas of high mesoscale eddy activity (e. ...[more]

PMID: 33380759

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Project description:Variability of hydrographic conditions and primary and secondary productivity between cold and warm climatic regimes in the Bering Sea has been the subject of much study in recent years, while interannual variability within a single regime and across multiple trophic levels has been less well-documented. Measurements from an instrumented mooring on the southeastern shelf of the Bering Sea were analyzed for the spring-to-summer transitions within the cold regime years of 2009-2012 to investigate the interannual variability of hydrographic conditions, primary producer biomass, and acoustically-derived secondary producer and consumer abundance and community structure. Hydrographic conditions in 2012 were significantly different than in 2009, 2010, and 2011, driven largely by increased ice extent and thickness, later ice retreat, and earlier stratification of the water column. Primary producer biomass was more tightly coupled to hydrographic conditions in 2012 than in 2009 or 2011, and shallow and mid-column phytoplankton blooms tended to occur independent of one another. There was a high degree of variability in the relationships between different classes of secondary producers and hydrographic conditions, evidence of significant intra-consumer interactions, and trade-offs between different consumer size classes in each year. Phytoplankton blooms stimulated different populations of secondary producers in each year, and summer consumer populations appeared to determine dominant populations in the subsequent spring. Overall, primary producers and secondary producers were more tightly coupled to each other and to hydrographic conditions in the coldest year compared to the warmer years. The highly variable nature of the interactions between the atmospherically-driven hydrographic environment, primary and secondary producers, and within food webs underscores the need to revisit how climatic regimes within the Bering Sea are defined and predicted to function given changing climate scenarios.

Dataset Information

Quantification of Chaotic Intrinsic Variability of Sea-Air CO₂ Fluxes at Interannual Timescales.

Publications

Quantification of Chaotic Intrinsic Variability of Sea-Air CO<sub>2</sub> Fluxes at Interannual Timescales.

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OmicsDI is part of the ELIXIR infrastructure

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Dataset Information

Quantification of Chaotic Intrinsic Variability of Sea-Air CO2 Fluxes at Interannual Timescales.

Publications

Quantification of Chaotic Intrinsic Variability of Sea-Air CO<sub>2</sub> Fluxes at Interannual Timescales.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Quantification of Chaotic Intrinsic Variability of Sea-Air CO₂ Fluxes at Interannual Timescales.