Abstract
A numerical experiment on the reproduction of the variability in the state of North Atlantic water in 1948–2007 with a spatial resolution of 0.25° has been performed using the global ocean model developed at Institute of Numerical Mathematics, Russian Academy of Sciences (INM RAS), and the Shirshov Institute of Oceanology (IO RAS) (the INM–IO model). The data on the state of the atmosphere, radiation fluxes, and bulk formulas of the CORE-II protocol are used as boundary conditions. Five successive 60-year calculation cycles have been performed in order to obtain the quasi-equilibrium state of a model ocean. For the last 20 years, the main elements of large-scale ocean circulation have been analyzed and compared with the WOA09 atlas data and the results of other models.
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References
A. S. Sarkisyan, “Fifty years of numerical modeling of baroclinic ocean,” Izv., Atmos. Ocean. Phys. 48 (1), 6–20 (2012).
A. Sarkisyan and J. Sündermann, Modelling Ocean Climate Variability (Springer, Berlin, 2009).
R. A. Ibraev, K. V. Ushakov, and R. N. Khabeev, “Eddy-resolving 1/10° model of the World Ocean,” Izv., Atmos. Ocean. Phys. 48 (1), 37–46 (2012).
S. M. Griffies, A. Biastoch, C. Böning, et al., “Coordinated ocean–ice reference experiments (COREs),” Ocean Modell. 26 (1–2), 1–46 (2009).
S. M. Griffies, M. Winton, B. Samuels, et al., Datasets and protocol for the CLIVAR WGOMD coordinated ocean–sea ice reference experiments (COREs), WCRP Report No. 21, 2012.
G. Danabasoglu, S. G. Yeager, D. Bailey, et al., “North Atlantic simulations in coordinated ocean–ice reference experiments phase II (CORE-II). Part 1: Mean states,” Ocean Modell. 73, 76–107 (2014).
World Ocean Atlas 2009. http://wwwnodcnoaagov/ OC5/WOA09/pr_woa09html.
K. V. Ushakov, R. A. Ibraev, and V. V. Kalmykov, “Simulation of the world ocean climate with a massively parallel numerical model,” Izv., Atmos. Ocean. Phys. 51 (4), 362–380 (2015).
A. V. Gusev and N. A. Diansky, “Numerical simulation of the world ocean circulation and its climatic variability for 1948–2007 using the INMOM,” Izv., Atmos. Ocean. Phys. 50 (1), 1–12 (2014).
A. S. Sarkisyan, Numerical Analysis and Prediction of Sea Currents (Gidrometeoizdat, Leningrad, 1977) [in Russian].
V. V. Kalmykov and R. A. Ibraev, “A fast algorithm for solving the system of shallow-water equations on distributed memory computers,” Vestn. Ufim. Gos. Aviats. Tekh. Univ. 17 (5), 252–259 (2013).
C. Schrum and J. Backhaus, “Sensitivity of atmosphere–ocean heat exchange and heat content in North Sea and Baltic Sea: A comparative assessment,” Tellus 51A, 526–549 (1999).
S. M. Griffies and R. W. Hallberg, “Biharmonic friction with a Smagorinsky-like viscosity for use in largescale eddy-permitting ocean models,” Mon. Weather Rev. 128 (8), 2935–2946 (2000).
V. V. Kalmykov and R. A. Ibraev, “A framework for the ocean-ice-atmosphere-land coupled modeling on massively- parallel architectures massive-parallel computers,” Vychisl. Metody Program. 14, 88–95 (2013).
W. Large and S. Yeager, “The global climatology of an interannually varying air–sea flux data set,” Clim. Dyn. 33 (2–3), 341–364 (2009).
J. J.-M. Hirschi, A. T. Blaker, B. Sinha, et al., “Chaotic variability of the meridional overturning circulation on subannual to interannual timescales,” Ocean Sci. 9 (5), 805–823 (2013).
Y. Masumoto, H. Sasaki, T. Kagimoto, et al., “A fiftyyear eddy-resolving simulation of the world ocean: Preliminary outcomes of OFES (OGCM for the Earth Simulator),” J. Earth Simul. 1, 35–56 (2004).
A. Marzocchi, J. J.-M. Hirschi, N. Holliday, et al., “The North Atlantic subpolar circulation in an eddyresolving global ocean model,” J. Mar. Syst. 142, 126–143 (2015).
S. A. Cunningham, T. Kanzow, D. Rayner, et al., “Temporal variability of the Atlantic meridional overturning circulation at 26.5°N,” Science 317 (5840), 935–938 (2007).
A. S. Sarkisyan, Numerical Analysis and Prediction of Sea Currents (MGU, Moscow, 2016) [in Russian].
R. Dickson and J. Brown, “The production of North-Atlantic deep waters: Sources, rates, and pathways,” J. Geophys. Res.: Oceans 99 (C6), 12319–12341 (1994).
H. Bryden and S. Imawaki, “Ocean heat transport,” in Ocean Circulation and Climate, Ed. by G. Siedler, J. Church, and J. Gould (Academic, London, 2001), pp. 455–474 (2001).
W. E. Johns, M. O. Baringer, and L. M. Beal, “Continuous, array-based estimates of Atlantic Ocean heat transport at 26.5°N,” J. Clim. 24 (10), 2429–2449 (2011).
R. Msadek, W. E. Johns, S. G. Yeager, et al., “The Atlantic meridional heat transport at 26.5°N and its relationship with the MOC in the RAPID array and the GFDL and NCAR coupled models,” J. Clim. 26 (12), 4335–4356 (2013).
S. N. Moshonkin and B. N. Filyushkin, “Influence of bottom gravity currents in gulfs on water masses of North Atlantics,” in Water Masses of Oceans and Seas (Toward the 100-th Anniversary of A. D. Dobrovolskii) (MAKS press, Moscow, 2007), pp. 130–146 [in Russian].
J. Stroeve, Sea ice trends and climatologies from SMMR and SSM/I-SSMIS (updated dataset for 1979–2013), NASA DAAC, Boulder, Colorado, 2003.
I. Mahlstein and R. Knutti, “Ocean heat transport as a cause for model uncertainty in projected Arctic warming,” J. Clim. 24, 1451–1460 (2011).
A. B. Kara, P. A. Rochford, and H. E. Hurlburt, Naval research laboratory mixed layer depth (NMLD) climatologies (2002), NRL Rep. No. BRL/FR/7330-02-9995.
Vl. V. Voevodin, S. A. Zhumatii, S. I. Sobolev, et al., “The Lomonosov supercomputer practice,” Otkrytye Sist., No. 7, 36–39 (2012).
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Original Russian Text © K.V. Ushakov, T.B. Grankina, R.A. Ibraev, 2016, published in Izvestiya Rossiiskoi Akademii Nauk, Fizika Atmosfery i Okeana, 2016, Vol. 52, No. 4, pp. 416–427.
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Ushakov, K.V., Grankina, T.B. & Ibraev, R.A. Modeling the water circulation in the North Atlantic in the scope of the CORE-II experiment. Izv. Atmos. Ocean. Phys. 52, 365–375 (2016). https://doi.org/10.1134/S0001433816040113
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DOI: https://doi.org/10.1134/S0001433816040113