Simulating transport of 129I and idealized tracers in the northern North Atlantic Ocean

Orre, Steinar; Smith, J. N.; Alfimov, Vasily; Bentsen, Mats

doi:10.1007/s10652-009-9138-3

Cited by 41 publications

(53 citation statements)

References 48 publications

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“…Bentsen et al, 2004;Drange et al, 2005b;Lohman et al, 2009;Orre et al, 2010), originating from the Miami Isopycnic Coordinate Ocean Model (MICOM) (Bleck et al, 1992). The atmospheric module is modified with chemistry-aerosol-cloudradiation interaction schemes developed for the Oslo version of the Community Atmosphere Model (CAM4-Oslo; Kirkevåg et al, 2013).…”

Section: Bentsen Et Al: the Norwegian Earth System Model Noresm1-mmentioning

confidence: 99%

The Norwegian Earth System Model, NorESM1-M – Part 1: Description and basic evaluation of the physical climate

et al. 2013

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Abstract. The core version of the Norwegian Climate Center's Earth System Model, named NorESM1-M, is presented. The NorESM family of models are based on the Community Climate System Model version 4 (CCSM4) of the University Corporation for Atmospheric Research, but differs from the latter by, in particular, an isopycnic coordinate ocean model and advanced chemistry-aerosol-cloud-radiation interaction schemes. NorESM1-M has a horizontal resolution of approximately 2 • for the atmosphere and land components and 1 • for the ocean and ice components. NorESM is also available in a lower resolution version (NorESM1-L) and a version that includes prognostic biogeochemical cycling (NorESM1-ME). The latter two model configurations are not part of this paper. Here, a first-order assessment of the model stability, the mean model state and the internal variability based on the model experiments made available to CMIP5 are presented. Further analysis of the model performance is provided in an accompanying paper , presenting the corresponding climate response and scenario projections made with NorESM1-M.

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Section: Bentsen Et Al: the Norwegian Earth System Model Noresm1-mmentioning

confidence: 99%

The Norwegian Earth System Model, NorESM1-M – Part 1: Description and basic evaluation of the physical climate

et al. 2013

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“…The diapycnal mixing is generally small compared to the other two processes, but in areas with dense plumes of water flowing down steep bottom slopes, the diapycnal mixing is considerable. To incorporate the shear instability and gravity current mixing a Richardson number dependent diffusivity is included (see Orre et al 2009). …”

Section: Mixed Layer Dynamicsmentioning

confidence: 99%

Mechanisms for decadal scale variability in a simulated Atlantic meridional overturning circulation

et al. 2011

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Variability in the Atlantic Meridional Overturning Circulation (AMOC) has been analysed using a 600-year pre-industrial control simulation with the Bergen Climate Model. The typical AMOC variability has amplitudes of 1 Sverdrup (1 Sv = 10 6 m 3 s -1 ) and time scales of 40-70 years. The model is reproducing the observed dense water formation regions and has very realistic ocean transports and water mass distributions. The dense water produced in the Labrador Sea

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“…The maximum Ri g dependent diffusivity ν 0 is set to 500×10 −4 m 2 s −1 in the 300 m closest to the ocean floor to parameterize gravity current mixing, and 50 × 10 −4 m 2 s −1 elsewhere to parameterize shear instability mixing. The parameterization of background diffusivity is taken from Gargett (1984) and the diffusivity is tuned to give a reasonable poleward heat transport in coupled atmosphere-ocean-sea ice simulations and to optimize the distribution of tracers in tracer release experiments (Orre et al, 2009). The numerical implementation of the diapycnal mixing follows the scheme of McDougall and Jackett (2005) but with additional care in handling the vigorous mixing due to shear instabilities.…”

Section: Diapycnal Mixingmentioning

confidence: 99%

An isopycnic ocean carbon cycle model

et al. 2010

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Abstract.The carbon cycle is a major forcing component in the global climate system. Modelling studies, aiming to explain recent and past climatic changes and to project future ones, increasingly include the interaction between the physical and biogeochemical systems. Their ocean components are generally z-coordinate models that are conceptually easy to use but that employ a vertical coordinate that is alien to the real ocean structure. Here, we present first results from a newly-developed isopycnic carbon cycle model and demonstrate the viability of using an isopycnic physical component for this purpose. As expected, the model represents well the interior ocean transport of biogeochemical tracers and produces realistic tracer distributions. Difficulties in employing a purely isopycnic coordinate lie mainly in the treatment of the surface boundary layer which is often represented by a bulk mixed layer. The most significant adjustments of the ocean biogeochemistry model HAMOCC, for use with an isopycnic coordinate, were in the representation of upper ocean biological production. We present a series of sensitivity studies exploring the effect of changes in biogeochemical and physical processes on export production and nutrient distribution. Apart from giving us pointers for further model development, they highlight the importance of preformed nutrient distributions in the Southern Ocean for global nutrient distributions. The sensitivity studies show that iron limitation for biological particle production, the treatment of light penetration for biological production, and the role of diapycnal mixing result in significant changes of nutrient distributions and liniting factors of biological production.Correspondence to: K. M. Assmann

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Simulating transport of 129I and idealized tracers in the northern North Atlantic Ocean

Abstract: Transport of the radioactive tracer Iodine-129 ( 129

Cited by 41 publications

References 48 publications

The Norwegian Earth System Model, NorESM1-M – Part 1: Description and basic evaluation of the physical climate

The Norwegian Earth System Model, NorESM1-M – Part 1: Description and basic evaluation of the physical climate

Mechanisms for decadal scale variability in a simulated Atlantic meridional overturning circulation

An isopycnic ocean carbon cycle model

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