Abstract:Approximately 250,000 measurements made for the pCO 2 difference between surface water and the marine atmosphere, ⌬pCO 2 , have been assembled for the global oceans. Observations made in the equatorial Pacific during El Nino events have been excluded from the data set. These observations are mapped on the global 4°؋ 5°grid for a single virtual calendar year (chosen arbitrarily to be 1990) representing a non-El Nino year. Monthly global distributions of ⌬pCO 2 have been constructed using an interpolation method… Show more
“…For the sea surface, this treatment was similar to the horizontal interpolation scheme by Takahashi et al (1997), but it allowed for a vertical exchange with the deep ocean. Accordingly, the resulting sea-surface distribution in Experiment M shows a general agreement between model and data (Figure 16).…”
Section: Oxygen-18mentioning
confidence: 99%
“…Thus there were no surface fluxes over the vast areas of the ocean that were void of data. As far as the surface ocean is concerned, the model acted like an interpolation or extrapolation method using advective and diffusive fluxes (Takahashi et al 1997). The δ 18 O w tracer became even more artificial in the glacial experiments, but still served the purpose to highlight the effects of changes in advection and diffusion.…”
Abstract:We use a global ocean general circulation model (OGCM) with low vertical diffusion and isopycnal mixing to simulate the circulation in the Atlantic Ocean at present-day and the Last Glacial Maximum (LGM). The OGCM includes δ 18 O as a passive tracer. Regarding the LGM sea-surface boundary conditions, the temperature is based on the GLAMAP reconstruction, the salinity is estimated from the available δ 18 O data, and the wind-stress is derived from the output of an atmospheric general circulation model. Our focus is on changes in the upper-ocean hydrology, the large-scale horizontal circulation and the δ 18 O distribution. In a series of LGM experiments with a step-wise increase of the sea-surface salinity anomaly in the Weddell Sea, the ventilated thermocline was colder than today by 2-3°C in the North Atlantic Ocean and, in the experiment with the largest anomaly (1.0 beyond the global anomaly), by 4-5°C in the South Atlantic Ocean; furthermore it was generally shallower. As the meridional density gradient grew, the Antarctic Circumpolar Current strengthened and its northern boundary approached Cape of Good Hope. At the same time the southward penetration of the Agulhas Current was reduced, and less thermocline-to-intermediate water slipped from the Indian Ocean along the southern rim of the African continent into the South Atlantic Ocean; the 'Agulhas leakage' was diminished by up to 60% with respect to its modern value, such that the cold water route became the dominant path for North Atlantic Deep Water (NADW) renewal. It can be speculated that the simulated intensification of the Benguela Current and the enhancement of NADW upwelling in the Southern Ocean might reduce the import of silicate into the Benguela System, which could possibly resolve the 'Walvis Opal Paradox'. Although δ 18 O w was restored to the same surface values and could only reflect changes in advection and diffusion, the resulting δ 18 O c distribution came close to reconstructions based on fossil shells of benthic foraminifera.
“…For the sea surface, this treatment was similar to the horizontal interpolation scheme by Takahashi et al (1997), but it allowed for a vertical exchange with the deep ocean. Accordingly, the resulting sea-surface distribution in Experiment M shows a general agreement between model and data (Figure 16).…”
Section: Oxygen-18mentioning
confidence: 99%
“…Thus there were no surface fluxes over the vast areas of the ocean that were void of data. As far as the surface ocean is concerned, the model acted like an interpolation or extrapolation method using advective and diffusive fluxes (Takahashi et al 1997). The δ 18 O w tracer became even more artificial in the glacial experiments, but still served the purpose to highlight the effects of changes in advection and diffusion.…”
Abstract:We use a global ocean general circulation model (OGCM) with low vertical diffusion and isopycnal mixing to simulate the circulation in the Atlantic Ocean at present-day and the Last Glacial Maximum (LGM). The OGCM includes δ 18 O as a passive tracer. Regarding the LGM sea-surface boundary conditions, the temperature is based on the GLAMAP reconstruction, the salinity is estimated from the available δ 18 O data, and the wind-stress is derived from the output of an atmospheric general circulation model. Our focus is on changes in the upper-ocean hydrology, the large-scale horizontal circulation and the δ 18 O distribution. In a series of LGM experiments with a step-wise increase of the sea-surface salinity anomaly in the Weddell Sea, the ventilated thermocline was colder than today by 2-3°C in the North Atlantic Ocean and, in the experiment with the largest anomaly (1.0 beyond the global anomaly), by 4-5°C in the South Atlantic Ocean; furthermore it was generally shallower. As the meridional density gradient grew, the Antarctic Circumpolar Current strengthened and its northern boundary approached Cape of Good Hope. At the same time the southward penetration of the Agulhas Current was reduced, and less thermocline-to-intermediate water slipped from the Indian Ocean along the southern rim of the African continent into the South Atlantic Ocean; the 'Agulhas leakage' was diminished by up to 60% with respect to its modern value, such that the cold water route became the dominant path for North Atlantic Deep Water (NADW) renewal. It can be speculated that the simulated intensification of the Benguela Current and the enhancement of NADW upwelling in the Southern Ocean might reduce the import of silicate into the Benguela System, which could possibly resolve the 'Walvis Opal Paradox'. Although δ 18 O w was restored to the same surface values and could only reflect changes in advection and diffusion, the resulting δ 18 O c distribution came close to reconstructions based on fossil shells of benthic foraminifera.
“…Land fluxes are assigned prior monthly values (balanced annually and with no IAV) and prior geographic patterns within each region from the SIB-2 global biosphere model [Denning et al, 1996]. Ocean fluxes are assigned prior values and patterns (no IAV) from a global synthesis of air-sea-flux measurements [Takahashi et al, 1997]. Prior errors on net fluxes are set to ±1/ ffiffiffiffiffi 12 p GtC month À1 (1 GtC annually), identically over land and ocean regions.…”
[1] To increase our understanding of the carbon cycle, we compare regional estimates of CO 2 flux variability for 1980-1998 from atmospheric CO 2 inversions and from process-based models of the land (SLAVE and LPJ) and ocean (OPA and MIT). Over the land, the phase and amplitude of the different estimates agree well, especially at continental scale. Flux variations are predominantly controlled by El Niño events, with the exception of the post-Pinatubo period of the early 1990s. Differences between the two land models result mainly from the response of heterotrophic respiration to precipitation and temperature. The ''Lloyd and Taylor'' formulation of LPJ [Lloyd and Taylor, 1994] agrees better with the inverse estimates. Over the ocean, inversion and model results agree only in the equatorial Pacific and partly in the austral ocean. In the austral ocean, an increased CO 2 sink is present in the inversion and OPA model, and results from increased stratification of the ocean. In the northern oceans, the inversions estimate large flux variations in line with time-series observations of the subtropical Atlantic, but not supported by the two model estimates, thus suggesting that the CO 2 variability from high-latitude oceans needs further investigation.
“…In the future, increasing water temperatures will also tend to reduce the capacity of the oceans to take up CO 2 . Current estimates (Takahashi et al, 1997) suggest that the major oceanographic sinks for CO 2 are in the North Atlantic, particularly the Norwegian Sea, and in the Southern Ocean. However, the limited nature of regular measurements of CO 2 concentrations throughout most of the world oceans, coupled with uncertainties over the exchange rate, means that there is currently an uncertainty of about a factor of two in calculations of the air-sea exchange of CO 2 , and particularly that of anthropogenic CO 2 .…”
The ocean is increasingly seen as a vital component of the climate system. It exchanges with the atmosphere large quantities of heat, water, gases, particles and momentum. It is an important part of the global redistribution of heat from tropics to polar regions keeping our planet habitable, particularly equatorward of about 30°. In this article we review recent work examining the role of the oceans in climate, focusing on research in the Third Assessment Report of the IPCC and later. We discuss the general nature of oceanic climate variability and the large role played by stochastic variability in the interaction of the atmosphere and ocean. We consider the growing evidence for biogeochemical interaction of climatic significance between ocean and atmosphere. Air-sea exchange of several radiatively important gases, in particular CO 2 , is a major mechanism for altering their atmospheric concentrations. Some more reactive gases, such as dimethyl sulphide, can alter cloud formation and hence albedo. Particulates containing iron and originating over land can alter ocean primary productivity and hence feedbacks to other biogeochemical exchanges. We show that not only the tropical Pacific Ocean basin can exhibit coupled ocean-atmosphere interaction, but also the tropical Atlantic and Indian Oceans. Longer lived interactions in the North Pacific and Southern Ocean (the circumpolar wave) are also reviewed. The role of the thermohaline circulation in long-term and abrupt climatic change is examined, with the freshwater budget of the ocean being a key factor for the degree, and longevity, of change. The potential for the Mediterranean outflow to contribute to abrupt change is raised. We end by examining the probability of thermohaline changes in a future of global warming.
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