Eddy-resolving 1/10° model of the World Ocean

Ibrayev, R. A.; Khabeev, R. N.; Ushakov, K. V.

doi:10.1134/s0001433812010045

Cited by 56 publications

(23 citation statements)

References 18 publications

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“…At that time, the modeling of climatic characteristics of the entire oceanic column had been a problem, but these two studies brought us one step closer to the goal. More interesting are the studies [59][60][61][62][63]. This group of studies took the next major step: modeling of the entire (or almost entire) World Ocean with the same high resolution (0.1°) and a large number of irregularly spaced levels (around fifty).…”

Section: B 5 Advances In High Resolution Modelingmentioning

confidence: 99%

A view of progress in the numerical modeling of physical characteristics of the World Ocean in the light of sixty-year experience

Sarkisyan

2015

Izv. Atmos. Ocean. Phys.

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In view of the 60th anniversary of the pioneering oceanographic work on the numerical modeling of dynamical characteristics of the ocean [1], the author has decided to present his view of the principal mile stones in the progress of the numerical modeling of climatic characteristics of the ocean. This progress is shown schematically and conventionally as a single a table consisting of two lines: (A) synthesis of measure ment data models and (B) theory and calculation of sea currents. Line A consists of the following stages: ref erence surface method, diagnostic method, diagnostics-adaptation, and four dimensional analysis. Line B is as follows: Ekman's school, numerical modeling of a barotropic and then baroclinic ocean, modeling of individual basins with high resolution, and modeling of the World Ocean with high resolution and allowance for ice cover. This paper briefly reviews and analyzes the results of each of the abovementioned stages. The author sympathizes with line A because he believes that the most realistic results for characteristics of scien tific interest are obtained by a synthesis of models and measurement data, with an optimal choice of the model integration time. Unfortunately, studies in both directions have often used unreasonably long integra tion times (50-100 years). In this case, models even with a high resolution (0.1° of grid spacing) become inad equate and analyze strange characteristics, such as meridional overturning or kinetic energy averaged over the entire column of the world ocean, which actually have no scientific significance.

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Section: B 5 Advances In High Resolution Modelingmentioning

confidence: 99%

A view of progress in the numerical modeling of physical characteristics of the World Ocean in the light of sixty-year experience

Sarkisyan

2015

Izv. Atmos. Ocean. Phys.

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“…There is a set of works with coupled atmosphere-ocean models for climate change modelling and numerical weather prediction at different spatial-time scales. The atmosphere model SL-AV (Tolstykh et al, 2017) and the WOM INMIO 40 (Ibrayev et al, 2012) are coupled using CMF2.0 and CMF3.0 (Fadeev et al, 2016). The numerical experiments have been performed in conditions of the CORE-II protocol .…”

Section: Cmf Examples Of Usagementioning

confidence: 99%

“…High-resolution ocean dynamics modeling using WOM INMIO governed by CMF2.0 (Ibrayev et al, 2012), (Ushakov 35 and Ibrayev, 2017).…”

Section: Cmf Examples Of Usagementioning

confidence: 99%

“…In our test, the ocean model sent 3 2D-fields every 2 hours to the atmosphere model and received 9 2D-fields every 1 hour. The ocean model has the 3600×1728 tripole grid and the atmosphere -1600×864 latitude-longitude grid (grids were taken from current versions of ocean (Ibrayev et al, 2012) and atmosphere (Tolstykh et al, 2017) replaced by point symbols to improve the readability of the graph). Numbers of cores used for ocean and atmosphere models were equal to 8640 and 3456, 10368 and 4320, 17280 and 13824 respectively.…”

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confidence: 99%

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Compact Modeling Framework v3.0 for high-resolution global ocean-ice-atmosphere models

Kalmykov¹,

Ibrayev²,

Kaurkin³

et al. 2018

Preprint

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Abstract. We present new version of the Compact Modeling Framework (CMF3.0) developed for providing the software environment for stand-alone and coupled models of the Global geophysical fluids. The CMF3.0 designed for implementation high and ultra-high resolution models at massive-parallel supercomputers.The key features of the previous CMF version (2.0) are mentioned for reflecting progress in our researches. In the CMF3.0 pure MPI approach with high-level abstract driver, optimized coupler interpolation and I/O algorithms is replaced with PGAS 5 paradigm communications scheme, while central hub architecture evolves to the set of simultaneously working services. Performance tests for both versions are carried out. As addition a parallel realisation of the EnOI (Ensemble Optimal Interpolation) data assimilation method as program service of CMF3.0 is presented.

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“…In OGCMs, vertical mixing is parameterized using a second-order differential operator with variable exchange coefficients K U , K T and K S [1][2][3][4][5]. The two basic approaches are used to determine these coefficients: (1) they are defined as functions of stratification and velocity shift or the local Richardson number [1,[6][7][8]; (2) they can be found using additional turbulence models [3,[9][10][11][12][13][14][15]. The first approach is more simple and efficient from the computational point of view.…”

Section: Introductionmentioning

confidence: 99%

Simulation of the Arctic – North Atlantic Ocean Circulation with a Two-Equation k-omega Turbulence Parameterization

Moshonkin¹,

Zalesny²,

Гусев³

2018

Preprint

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Abstract:A method for solving the turbulence equations embedded in the sigma ocean general ocean circulation model is proposed. Like the general circulation model, the turbulence equations are solved using the splitting method by physical processes. The turbulence equations are split into two main stages describing transport-diffusion and generation-dissipation processes. Parameterization of turbulence in the framework of equations allows, at the generation-dissipation stage, to use both numerical and analytical solutions and to ensure high efficiency of the algorithm. The results of large-scale ocean dynamics simulation taking into account the parameterization of vertical turbulent exchange are considered. Numerical experiments were carried out using k-omega turbulence model embedded to the Institute of Numerical Mathematics Ocean general circulation Model (INMOM). Both the circulation and turbulence models are solved using the splitting method with respect to physical processes. The coupled model is used to simulate the hydrophysical fields of the North Atlantic and Arctic Oceans for . The model has a horizontal resolution of 0.25 degree and 40 sigma-levels along the vertical. The sensitivity of the solution to the changes in mixing parameterization is studied. Experiments demonstrate that taking into account the climatic annual mean buoyancy frequency improves the reproduction of large-scale ocean characteristics. There is a positive effect of Prandtl number variations for reproducing the upper mixed layer depth. The experiments also demonstrate the computational effectiveness of the proposed approach in solving the turbulence equations.

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Eddy-resolving 1/10° model of the World Ocean

Cited by 56 publications

References 18 publications

A view of progress in the numerical modeling of physical characteristics of the World Ocean in the light of sixty-year experience

A view of progress in the numerical modeling of physical characteristics of the World Ocean in the light of sixty-year experience

Compact Modeling Framework v3.0 for high-resolution global ocean-ice-atmosphere models

Simulation of the Arctic – North Atlantic Ocean Circulation with a Two-Equation k-omega Turbulence Parameterization

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Eddy-resolving 1/10° model of the World Ocean

Cited by 56 publications

References 18 publications

A view of progress in the numerical modeling of physical characteristics of the World Ocean in the light of sixty-year experience

A view of progress in the numerical modeling of physical characteristics of the World Ocean in the light of sixty-year experience

Compact Modeling Framework v3.0 for high-resolution global ocean-ice-atmosphere models

Simulation of the Arctic &ndash; North Atlantic Ocean Circulation with a Two-Equation k-omega Turbulence Parameterization

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Simulation of the Arctic – North Atlantic Ocean Circulation with a Two-Equation k-omega Turbulence Parameterization