551.5; 519.6 Organization of numerical experiments on a joint global model of the atmosphere and ocean

Parkhomenko V. P. (ФИЦ ИУ РАН/Bauman Moscow State Technical University)

GLOBAL CLIMATE MODEL, THERMOHALINE CIRCULATION, NUMERICAL EXPERIMENTS, CLIMATE CHANGE


doi: 10.18698/2309-3684-2022-4-3147


A three-dimensional hydrodynamic model of the global climate is presented, including a block of the atmosphere general circulation, a block of the ocean in geostrophic approximation with a frictional term in the horizontal momentum equations with a real distribution of depths and continents, a block of the sea ice evolution. Calculations of possible climate change up to 2100 are given on the basis of several CO2 growth scenarios. A significant decrease in the meridional flow of water in the Atlantic has been established during the implementation of a strong CO2 growth scenario. Numerical experiments have been carried out to identify potential hysteresis associated with attenuation, up to blocking (under certain conditions) Atlantic meridional thermohaline circulation.


Stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P.M. Midgley (eds.) IPCC, 2013: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1535 pp.
Tolstykh M.A., Ibraev R.A., Volodin E.M., Ushakov K.V., Kalmykov V.V., Shlyaeva A.V., Mizyak V.G., Khabeev R.N. Modeli global'noj atmosfery i Mirovogo okeana: algoritmy i superkomp'yuternye tekhnologii [Models of theglobal atmosphere and the World Ocean: algorithms and supercomputer technologies]. Moscow, Moscow University Publ., 2013, 144 p.
Parkhomenko V.P. Global climate model including description of thermohaline circulation of the World Ocean. Маthematical Modeling and Coтputational Methods, 2015, no. 1, pp. 94–108.
Dimitrienko Y.I., Koryakov M.N., Zakharov A.A. Application of RKDG method for computational solution of three-dimensional gas-dynamic equations with non-structured grids. Маthematical Modeling and Coтputational Methods, 2015, no. 4, pp. 75–91.
Dimitrienko Y.I., Li S. Mathematical simulation of non-isothermal steady flow of non-Newtonian fluid by finite element method. Маthematical Modeling and Coтputational Methods, 2018, no. 2, pp. 70–95.
Dimitrienko Y.I., Leontieva S.V. Modeling of thermal convection processes under unidirectional crystallization of alloys with liquid bridges motion. Маthematical Modeling and Coтputational Methods, 2018, no. 4, pp. 3–24.
Kochergin V.P. Teoriya i metody rascheta okeanicheskih techenij [Theory and methods of calculation of ocean currents]. Moscow, Nauka Publ., 1978, 128 p.
Samelson R.M., Vallis G.K. A Simple friction and diffusion scheme for planetary geostrophic basin models. Journal of Physical Oceanography, 1997, vol. 27, pp. 186–194.
Hogg A.McC., Dewar W.K., Killworth P.D., Blundell J.R. A quasi-geostrophic coupled model: Q-GCM. Monthly Weather Review, 2003, vol. 131, pp. 2261–2278.
Marsh R., Edwards N.R., Shepherd J.G. Development of a fast climate model (C-GOLDSTEIN) for Earth system science. Southampton Oceanography Centre, 2002, no. 83, 54 p.
Parhomenko V.P. Numerical experiments using the global hydrodynamic model to estimate the climate sensitivity and stability. Engineering Journal: Science and Innovation. Electronic Science and Engineering Publication, 2012, no. 2 (2), pp. 1–26.
Parkhomenko V.P., Tran Van Lang. Improved computing performance and load balancing of atmospheric general circulation model. Journal of Computer Science and Cybernetics, 2013, vol. 29, no. 2, pp. 138–148.
Arakawa A., Lamb V. Computational design of the basic dynamical processes of the UCLA general circulation model. Methods in Computational Physics, 1977, vol. 17, pp. 174–207.
Belov P.N., Borisenkov E.P., Panin B.D. Chislennye metody prognoza pogody [Numerical methods of weather forecasting]. Leningrad, Hydrometeoizdat Publ., 1989, 375 p.
Gates V.L., Bakhtin E.S., Kale A.B., Nelson A.B. Dvuhurovennaya model' obshchej cirkulyacii atmosfery Minca-Arakavy [Two-level model of the general circulation of the Mintz-Arakawa atmosphere]. Leningrad, Hydrometeoizdat Publ., 1978, 239 p.
Thompson S.L., Warren S. G. Parameterization of outgoing infrared radiation derived from detailed radiative calculations. Journal Of The Atmospheric Sciences,1982, vol. 39, pp. 2667–2680.
Shepherd J.G. Overcoming the CFL time-step limitation: a stable iterative implicit numerical scheme for slowly evolving advection-diffusion systems. Ocean Modelling, 2002, vol. 4, pp. 17–28.
Ryabenky V.S. Vvedenie v vychislitel'nuyu matematiku [Introduction to computational mathematics]. Moscow, Fizmatlit Publ., 2000, 296 p.
Parhomenko V.P. Implementing numerical experiments based on the coupled model of atmospheric general circulation and thermohaline ocean one. Science and Education of the Bauman MSTU, 2015, no. 4, pp. 41–57.
Core Writing Team, Pachauri R.K., Meyer L.A. (eds.) IPCC, 2014: Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC, Geneva, Switzerland, 151 pp.


Пархоменко В.П. Организация численных экспериментов на совместной глобальной модели атмосферы и океана. Математическое моделирование и численные методы, 2022, № 4, с. 31–4



Download article

Количество скачиваний: 345