Abstract
The paper presents a new INM RAS atmospheric general circulation model, which includes troposphere, stratosphere, mesosphere, and the lower thermosphere, as well as the lower ionospheric regions (INMAIM). Based on the atmospheric part of the INM climatic model INMCM, a new general circulation model was created by adding the middle atmosphere and lower ionosphere description up to 130 km altitudes. A new computational unit for radiative processes calculation was developed for this purpose. For the lower ionosphere a separate plasma chemistry local model was created. The identification of the INMAIM model climate in the mesosphere and lower thermosphere was carried out based on climatological observations. It was shown that model reproduces the general climatic characteristics considerably well.
Funding: This reasearch was supported by the Russian Science Foundation project 14-27-00126.
References
[1] M. P. Baldwin and T. J. Dunkerton, Propagation of the Arctic oscillation from the stratosphere to the troposphere. J. Geophys. Res. 104 (1999), No. D24 30937–30946.10.1029/1999JD900445Search in Google Scholar
[2] G. Brasseur and S. Solomon, Aeronomy of the Middle Atmosphere 3rd ed. Springer, Dordrecht, 2005.10.1007/1-4020-3824-0Search in Google Scholar
[3] N. A. Dianskii, V. Ya. Galin, A. V. Gusev, S. P. Smyshlyaev, E. M. Volodin, and N. G. Iakovlev, The model of the Earth system developed at the INM RA5. Russ. J. Numer. Anal. Math. Modelling 25 (2010), No. 5, 419–429.10.1515/rjnamm.2010.027Search in Google Scholar
[4] V. P. Dymnikov and D. V. Kulyamin, Structural stability of quasi-biennial oscillations of zonal wind in the equatorial stratosphere. Russ. J. Numer. Anal. Math. Modelling 25 (2010), No. 3, 235–251.10.1515/rjnamm.2010.015Search in Google Scholar
[5] V. I. Fomichev, J.-P. Blanchet, and D. S. Turner, Matrix parameterization of the 15 mkm CO2 band cooling in the middle and upper atmosphere for variable CO2 concentration. J. Geophys. Res. 103 (1998), No. D10, 11505–11528.Search in Google Scholar
[6] V. Ya. Galin, Parameterization of radiation processes in INM RAS atmospheric model. Izvestiya Atmosph. Oceanic Physics 34 (1998), No. 3, 380–389.Search in Google Scholar
[7] C. O. Hines, Doppler spread parameterization of gravity wave momentum deposition in the middle atmosphere. Part 1, Basic formulation. J. Atmosph. Terr. Phys. 59 (1997), No. 4, 371–386.10.1016/S1364-6826(96)00079-XSearch in Google Scholar
[8] D. V. Kulyamin and V. P. Dymnikov, A three-dimensional model of general thermospheric circulation. Russ. J. Numer. Anal. Math. Modelling 28 (2013), No. 4, 353–380.10.1515/rnam-2013-0021Search in Google Scholar
[9] D. V. Kulyamin and V. P. Dymnikov, Atmospheric general circulation model with hybrid vertical coordinate. Russ. J. Numer. Anal. Math. Modelling 29 (2014), No. 6, 355–373.10.1515/rnam-2014-0029Search in Google Scholar
[10] D. V. Kulyamin and V. P. Dymnikov, Modelling of the lower ionosphere climate. Izvestiya Atmosph. Oceanic Physics 51 (2015), No. 3, 272–291.Search in Google Scholar
[11] D. V. Kulyamin and V. P. Dymnikov, Numerical modelling of coupled neutral atmospheric general circulation and ionosphere D region. Russ. J. Numer. Anal. Math. Modelling 31 (2016), No. 3, 159–171.10.1515/rnam-2016-0016Search in Google Scholar
[12] D. V. Kulyamin, E. M. Volodin, and V. P. Dymnikov, Simulation of the quasi-biennial oscillations of the zonal wind in the equatorial stratosphere: Part II. atmospheric general circulation models. Izvestiya Atmosph. Oceanic Physics 45 (2009), No. 1, 37–54.10.1134/S0001433809010046Search in Google Scholar
[13] A. A. Kutepov and V. I. Fomichev, Application of the second-order escape probability approximation to the solution of the NLTE vibration-rotational band radiative transfer problem. J. Atmosph. Terr. Phys. 55 (1993), 1.10.1016/0021-9169(93)90148-RSearch in Google Scholar
[14] M. G. Mlynczak and S. Solomon, A detailed evaluation of the heating efficiency in the middle atmosphere. J. Geophys. Res. 98 (1993), No. D6, 10517–10541.10.1029/93JD00315Search in Google Scholar
[15] T. N. Palmer, G. J. Shutts , and R. Swinbank, Alleviation of a systematic westerly bias in general circulation and numerical weather prediction models through an orographic gravity wave drag parameterization. Quart. J. Roy. Meteor. Soc. 112 (1986), No. 474, 1001–1031.10.1002/qj.49711247406Search in Google Scholar
[16] N. M. Pedatella, T.-W. Fang, H. Jin, F. Sassi, H. Schmidt, J. L. Chau, T. A. Siddiqui, and L. Goncharenko, Multimodel comparison of the ionosphere variability during the 2009 sudden stratosphere warming. J. Geophys. Res.: Space Physics 121 (2016). No. 7, 7204–7225.10.1002/2016JA022859Search in Google Scholar
[17] A. I. Pogoreltsev, A. A. Vlasov, K. Frohlich, and Ch. Jacobi, Planetary waves in coupling the lower and upper atmosphere. J. Atmos. Solar-Terr. Phys. 69 (2007), 2083–2101.10.1016/j.jastp.2007.05.014Search in Google Scholar
[18] P. G. Richards, Re-evaluation of thermosphere heating by solar EUV and UV radiation. Canad. J. Phys. 90 (2012), No. 8, 759–767.Search in Google Scholar
[19] R. W. Schunk and A. Nagy, Ionospheres: Physics, Plasma Physics, and Chemistry 5th ed. Cambridge University Press, 2009.10.1017/CBO9780511635342Search in Google Scholar
[20] R. S. Stolarski, P. B. Hays, and R. G. Roble, Atmospheric heating by solar EUV radiation. J. Geophys. Res. 80 (1975), No. 16, 2266–2276.10.1029/JA080i016p02266Search in Google Scholar
[21] D. F. Strobel, Parameterization of the atmospheric heating rate from 15 to 120 km due to O2 and O3 absorption of solar radiation. J. Geophys. Res. 83 (1978), No. 12, 6225–6230.Search in Google Scholar
[22] E. M. Volodin, E. V. Motikov, S. V. Kostrykin, V. Ya. Galin, V. N. Lykossov, A. S. Gritsun, N. A. Diansky, A. V. Gusev, and N. G. Iakovlev. Simulation of the present-day climate with the climate model INMCM5. Climate Dynamics 49 (2017), No. 11-12, 3715–3734.10.1007/s00382-017-3539-7Search in Google Scholar
[23] E. M. Volodin and V. N. Lykossov, Parametrization of heat and moisture transfer in the soil-vegetation system for use in atmospheric general circulation models: 1. Formulation and simulations based on local observational data. Izvestiya Atmosph. Oceanic Physics 34 (1998), No. 4, 405–416.Search in Google Scholar
© 2018 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Coupling the Earth system model INMCM with the biogeochemical flux model
- Design and development of the SLAV-INMIO-CICE coupled model for seasonal prediction and climate research
- Low frequency variability and sensitivity of the Atlantic meridional overturning circulation in selected IPCC climate models
- INM RAS coupled atmosphere–ionosphere general circulation model INMAIM (0–130 km)
- The nature of 60-year oscillations of the Arctic climate according to the data of the INM RAS climate model
- Simulation of the modern climate using the INM-CM48 climate model
Articles in the same Issue
- Frontmatter
- Coupling the Earth system model INMCM with the biogeochemical flux model
- Design and development of the SLAV-INMIO-CICE coupled model for seasonal prediction and climate research
- Low frequency variability and sensitivity of the Atlantic meridional overturning circulation in selected IPCC climate models
- INM RAS coupled atmosphere–ionosphere general circulation model INMAIM (0–130 km)
- The nature of 60-year oscillations of the Arctic climate according to the data of the INM RAS climate model
- Simulation of the modern climate using the INM-CM48 climate model