GEOPHYSICS, ASTRONOMY, AND ASTROPHYSICS |
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Continuity and momentum equations for moist atmospheres |
Ran Ling-Kun (冉令坤), Gao Shou-Ting (高守亭), Cao Jie (曹洁) |
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China |
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Abstract The moist atmosphere with occurring precipitation is considered to be a multiphase fluid composed of dry air, water vapor and hydrometeors. These compositions move with different velocities: they take a macroscopic motion with a reference velocity and a relative motion with a velocity deviated from the reference velocity. The reference velocity can be chosen as the velocities of dry air, a gas mixture and the total air mixture. The budget equations of continuity and momentum are formulated in the three reference-velocity frames. It is shown that the resulting equations are dependent on the chosen reference velocity. The diffusive flux due to compositions moving with velocities deviated from the reference velocity and the internal sources due to the phase transitions of water substances result in additional source terms in continuity and momentum equations. A continuity equation of the total mass is conserved and free of diffusive flux divergence if the reference velocity is referred to the velocity of the total air mixture. However, continuity equations in the dry-air and gas-mixture frames are not conserved due to the mass diffusive flux divergence. The diffusive flux introduces additional source terms in the momentum equation. In the dry-air frame, the diffusive flux of water substances and the phase transitions of water substances contribute to the change of the total momentum. The additional sources of total momentum in the frame of a gas mixture are associated with the diffusive flux of hydrometeors, the phase transitions of hydrometeors and the gas-mixture diffusive flux. In the frame of total air mixture, the contribution to the total momentum comes from the diffusive flux of all atmospheric compositions instead of the phase transitions. The continuity and momentum equations derived here are more complicated than the traditional model equations. With increasing computing power, it becomes possible to simulate atmospheric processes with these sophisticated equations. It is helpful to the improvement of precipitation forecast.
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Received: 02 February 2013
Revised: 03 June 2013
Accepted manuscript online:
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PACS:
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92.60.N-
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(Cloud physics and chemistry)
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92.60.Nv
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(Cloud physics and chemistry)
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92.60.hk
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(Convection, turbulence, and diffusion)
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Fund: Project supported by the National Basic Research Program of China (Grant No. 2009CB421505), the Key Program of the Chinese Academy of Sciences (Grant No. KZZD-EW-05), the National Natural Sciences Foundation of China (Grant Nos. 41175060, 40930950, and 41005005), the Project of CAMS, China (Grant No. 2011LASW-B15), and the Spectial Scientific Research Fund of Meteorological Public Welfare of Ministry of Sciences and Technology, China (Grant No. GYHY200906004). |
Corresponding Authors:
Ran Ling-Kun
E-mail: rlk@mail.iap.ac.cn
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Cite this article:
Ran Ling-Kun (冉令坤), Gao Shou-Ting (高守亭), Cao Jie (曹洁) Continuity and momentum equations for moist atmospheres 2014 Chin. Phys. B 23 019201
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[1] |
Gao S T and Li X 2008 Cloud-resolving Modeling of Convective Processes (Berlin: Springer) p. 206
|
[2] |
Yuan H, Lu C, McGinley J A, Schultz P J, Jamison B D, Wharton L and Anderson C J 2009 Wea. Forecasting 24 18
|
[3] |
Feng G L, Dong W J and Jia X J 2004 Chin. Phys. 13 413
|
[4] |
Luo Z X, Sun Z A and Ping F 2011 Chin. Phys. B 20 049201
|
[5] |
Cui X P and Li X F 2011 Chin. Phys. B 20 109201
|
[6] |
Jiang Z, Li X F, Zhou Y S and Gao S T 2012 Chin. Phys. B 21 054215
|
[7] |
Rogers R R and Yau M K 1989 A Short Course in Cloud Physics (3rd edn) (New York: Pergamon Press) p. 293
|
[8] |
Schubert W H, Hausman S A, Garcia M, Ooyama K V and Kuo H C 2001 J. Atmos. Sci. 58 3148
|
[9] |
Gray M E 1999 Q. J. Roy. Meteorol. Soc. 125 1589
|
[10] |
Gao S, Wang X and Zhou Y 2004 Geophys. Res. Lett. 31 L12113
|
[11] |
Mofor L A and Lu C 2009 Prog. Natural Sci. 19 285
|
[12] |
Qiu C J, Bao J W and Xu Q 1993 Mon. Weather Rev. 121 853
|
[13] |
Ran L K, Yang W X and Chu Y L 2010 Chin. Phys. B 19 079201
|
[14] |
Gary M L and Yablonsky R M 2004 J. Atmos.Sci. 61 1674
|
[15] |
Doms G and Schattler U 2002 A Description of the Nonhydrostatic Regional Model LM. Part I: Dynamics and Numerics (Deutscher Wetterdienst: Offenbach) p. 134
|
[16] |
Lackmann G M and Yablonsky R M 2004 J. Atmos. Sci. 61 1674
|
[17] |
Dai X G, Wang P and Zhang K J 2012 Chin. Phys. B 21 119201
|
[18] |
Cui X P 2008 Chin. Phys. B 17 2304
|
[19] |
Satoh M 2003 Mon. Weather Rev. 131 1033
|
[20] |
Qian Z W, Shao D Y, Li X H and Wang D Z 1999 Chin. Phys. 8 27
|
[21] |
Wacker U and Herbert F 2003 Tellus 55 247
|
[22] |
Wacker U, Frisius T and Herbert F 2006 J. Atmos. Sci. 63 2642
|
[23] |
Ooyama K V 2001 J. Atmos. Sci. 58 2073
|
[24] |
Bannon P 2002 J. Atmos. Sci. 59 1967
|
[25] |
Bott A 2008 Atmospheric Research 89 262
|
[26] |
Zhou J, Cai L and Zhou F Q 2008 Chin. Phys. B 17 1535
|
[27] |
Zdunkowski W and Bott A 2003 Dynamics of the Atmosphere. A Course in Theoretical Meteorology (New York: Cambridge University Press) p. 738
|
[28] |
Fortak H 2004 Meteorol. Z. 13 499
|
[29] |
Kundu P K and Cohen I M 2004 Fluid Mechanics (3rd edn) (London: Elsevier Press) p. 759
|
[30] |
Lin Y, Farley R D and Orville H D 1983 J. Climate Appl. Meteor. 22 1065
|
[31] |
Xue M, Droegemeier K K, Wong V, Shapiro A, Brewster K, Carr F, Weber D, Liu Y and Wang D 2001 Meteorol. Atmos. Phys. 76 143
|
[32] |
Cotton W R, Bryan G H and Heever S C 2011 Storm and Cloud Dynamics (2nd edn) (New York: Academic Press) p. 26
|
[33] |
Zdunkowski W and Bott A 2004 Thermodynamics of the Atmosphere. A Course in Theoretical Meteorology (New York: Cambridge University Press) p. 251
|
[34] |
Stull R B 1988 An Introduction to Boundary Layer Meteorology (Dordrecht: Kluwer Academic Publishers) p. 666
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