Mechanisms governing interannual variability in upper-ocean inorganic carbon system and air-sea CO2 fluxes: Physical climate and atmospheric dust
Identifieur interne : 008224 ( Main/Exploration ); précédent : 008223; suivant : 008225Mechanisms governing interannual variability in upper-ocean inorganic carbon system and air-sea CO2 fluxes: Physical climate and atmospheric dust
Auteurs : Scott C. Doney [États-Unis] ; Ivan Lima [États-Unis] ; Richard A. Feely [États-Unis] ; David M. Glover [États-Unis] ; Keith Lindsay [États-Unis] ; Natalie Mahowald [États-Unis] ; J. Keith Moore [États-Unis] ; Rik Wanninkhof [États-Unis]Source :
- Deep-sea research. Part 2. Topical studies in oceanography [ 0967-0645 ] ; 2009.
Descripteurs français
- Pascal (Inist)
- Variation interannuelle, Carbone minéral dissous, Air, Climat, Poussière atmosphérique, Monde, Simulation rétrospective, Ecosystème, Modèle, Retombée poussière, Variabilité, Eau surface, Dioxyde carbone, Dioxyde de carbone, Pression partielle, Inventaire, Carte, Anomalie, Climatologie, Développement Taylor, Régression linéaire, Régression statistique, Océan Antarctique, Hémisphère Nord.
- Wicri :
- topic : Climat, Climatologie, Océan Antarctique.
English descriptors
- KwdEn :
- Antarctic Ocean, Atmospheric dust, Carbon dioxide, Climatology, Dissolved inorganic carbon, Dust fall out, Hindcast, Interannual variation, Linear regression, Northern Hemisphere, Taylor expansion, air, anomalies, carbon dioxide, climate, ecosystems, global, inventory, maps, models, partial pressure, regression analysis, surface water, variability.
Abstract
We quantify the mechanisms governing interannual variability in the global, upper-ocean inorganic carbon system using a hindcast simulation (1979-2004) of an ecosystem-biogeochemistry model forced with time-evolving atmospheric physics and dust deposition. We analyze the variability of three key, interrelated metrics-air-sea COz flux, surface-water carbon dioxide partial pressure pCO2, and upperocean dissolved inorganic carbon (DIC) inventory-presenting for each metric global spatial maps of the root mean square (rms) of anomalies from a model monthly climatology. The contribution of specific driving factors is diagnosed using Taylor expansions and linear regression analysis. The major regions of variability occur in the Southern Ocean, tropical Indo-Pacific, and Northern Hemisphere temperate and subpolar latitudes. Ocean circulation is the dominant factor driving variability over most of the ocean, modulating surface dissolved inorganic carbon that in turn alters surface-water pCO2 and air-sea CO2 flux variability (global integrated anomaly rms of 0.34 Pg Cyr-1). Biological export and thermal solubility effects partially damp circulation-driven pCO2 variability in the tropics, while in the subtropics, thermal solubility contributes positively to surface-water pCO2 and air-sea CO2 flux variability. Gas transfer and net freshwater inputs induce variability in the air-sea CO2 flux in some specific regions. A component of air-sea CO2 flux variability (global integrated anomaly rms of 0.14 Pg Cyr-1) arises from variations in biological export production induced by variations in atmospheric iron deposition downwind of dust source regions. Beginning in the mid-1990s, reduced global dust deposition generates increased air-sea CO2 outgassing in the Southern Ocean, consistent with trends derived from atmospheric CO2 inversions.
Affiliations:
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Antarctic Ocean</term>
<term>Atmospheric dust</term>
<term>Carbon dioxide</term>
<term>Climatology</term>
<term>Dissolved inorganic carbon</term>
<term>Dust fall out</term>
<term>Hindcast</term>
<term>Interannual variation</term>
<term>Linear regression</term>
<term>Northern Hemisphere</term>
<term>Taylor expansion</term>
<term>air</term>
<term>anomalies</term>
<term>carbon dioxide</term>
<term>climate</term>
<term>ecosystems</term>
<term>global</term>
<term>inventory</term>
<term>maps</term>
<term>models</term>
<term>partial pressure</term>
<term>regression analysis</term>
<term>surface water</term>
<term>variability</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Variation interannuelle</term>
<term>Carbone minéral dissous</term>
<term>Air</term>
<term>Climat</term>
<term>Poussière atmosphérique</term>
<term>Monde</term>
<term>Simulation rétrospective</term>
<term>Ecosystème</term>
<term>Modèle</term>
<term>Retombée poussière</term>
<term>Variabilité</term>
<term>Eau surface</term>
<term>Dioxyde carbone</term>
<term>Dioxyde de carbone</term>
<term>Pression partielle</term>
<term>Inventaire</term>
<term>Carte</term>
<term>Anomalie</term>
<term>Climatologie</term>
<term>Développement Taylor</term>
<term>Régression linéaire</term>
<term>Régression statistique</term>
<term>Océan Antarctique</term>
<term>Hémisphère Nord</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Climat</term>
<term>Climatologie</term>
<term>Océan Antarctique</term>
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<front><div type="abstract" xml:lang="en">We quantify the mechanisms governing interannual variability in the global, upper-ocean inorganic carbon system using a hindcast simulation (1979-2004) of an ecosystem-biogeochemistry model forced with time-evolving atmospheric physics and dust deposition. We analyze the variability of three key, interrelated metrics-air-sea CO<sub>z</sub>
flux, surface-water carbon dioxide partial pressure pCO<sub>2</sub>
, and upperocean dissolved inorganic carbon (DIC) inventory-presenting for each metric global spatial maps of the root mean square (rms) of anomalies from a model monthly climatology. The contribution of specific driving factors is diagnosed using Taylor expansions and linear regression analysis. The major regions of variability occur in the Southern Ocean, tropical Indo-Pacific, and Northern Hemisphere temperate and subpolar latitudes. Ocean circulation is the dominant factor driving variability over most of the ocean, modulating surface dissolved inorganic carbon that in turn alters surface-water pCO<sub>2</sub>
and air-sea CO<sub>2</sub>
flux variability (global integrated anomaly rms of 0.34 Pg Cyr<sup>-1</sup>
). Biological export and thermal solubility effects partially damp circulation-driven pCO<sub>2</sub>
variability in the tropics, while in the subtropics, thermal solubility contributes positively to surface-water pCO<sub>2</sub>
and air-sea CO<sub>2</sub>
flux variability. Gas transfer and net freshwater inputs induce variability in the air-sea CO<sub>2</sub>
flux in some specific regions. A component of air-sea CO<sub>2</sub>
flux variability (global integrated anomaly rms of 0.14 Pg Cyr<sup>-1</sup>
) arises from variations in biological export production induced by variations in atmospheric iron deposition downwind of dust source regions. Beginning in the mid-1990s, reduced global dust deposition generates increased air-sea CO<sub>2</sub>
outgassing in the Southern Ocean, consistent with trends derived from atmospheric CO<sub>2</sub>
inversions.</div>
</front>
</TEI>
<affiliations><list><country><li>États-Unis</li>
</country>
<region><li>État de New York</li>
</region>
<settlement><li>Ithaca (New York)</li>
</settlement>
<orgName><li>Université Cornell</li>
</orgName>
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<tree><country name="États-Unis"><noRegion><name sortKey="Doney, Scott C" sort="Doney, Scott C" uniqKey="Doney S" first="Scott C." last="Doney">Scott C. Doney</name>
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<name sortKey="Feely, Richard A" sort="Feely, Richard A" uniqKey="Feely R" first="Richard A." last="Feely">Richard A. Feely</name>
<name sortKey="Glover, David M" sort="Glover, David M" uniqKey="Glover D" first="David M." last="Glover">David M. Glover</name>
<name sortKey="Lima, Ivan" sort="Lima, Ivan" uniqKey="Lima I" first="Ivan" last="Lima">Ivan Lima</name>
<name sortKey="Lindsay, Keith" sort="Lindsay, Keith" uniqKey="Lindsay K" first="Keith" last="Lindsay">Keith Lindsay</name>
<name sortKey="Mahowald, Natalie" sort="Mahowald, Natalie" uniqKey="Mahowald N" first="Natalie" last="Mahowald">Natalie Mahowald</name>
<name sortKey="Moore, J Keith" sort="Moore, J Keith" uniqKey="Moore J" first="J. Keith" last="Moore">J. Keith Moore</name>
<name sortKey="Wanninkhof, Rik" sort="Wanninkhof, Rik" uniqKey="Wanninkhof R" first="Rik" last="Wanninkhof">Rik Wanninkhof</name>
</country>
</tree>
</affiliations>
</record>
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