A comparison of compressible and anelastic models of deep dry convection

Monthly Weather Review

Volumn 136, Issue 12, 2008, Pages 4555-4571

  Smith, Jonathan W ^a   Bannon, Peter R ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BUOYANCY FLOWS; COMPRESSIBLE MODELS; DRY CONVECTIONS; GEOSTROPHIC ADJUSTMENTS; INITIAL CONDITIONS; LAMB WAVES; MODEL SOLUTIONS; POTENTIAL VORTICITIES; POTENTIAL VORTICITY PERTURBATIONS; RAYLEIGH DAMPING; SPONGE LAYERS; TIME EVOLUTIONS;

ACOUSTIC WAVES; COMPUTATIONAL EFFICIENCY; INCOMPRESSIBLE FLOW; VORTICITY;

ACOUSTICS;

ACCURACY ASSESSMENT; ACOUSTIC WAVE; CLIMATE MODELING; COMPARATIVE STUDY; CONVECTION; DIABATIC PROCESS; DRY DEPOSITION; EFFICIENCY MEASUREMENT; PERTURBATION; POTENTIAL VORTICITY; WAVE PROPAGATION;

EID: 64149113230     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2008MWR2343.1     Document Type: Article

References (22)

1. Bannon, P. R., 1995: Hydrostatic adjustment: Lamb's problem. J. Atmos. Sci., 52, 1743-1752.
2. Bannon, P. R., 1996: On the anelastic approximation for a compressible atmosphere. J. Atmos. Sci., 53, 3618-3628.
3. Bannon, P. R., 2005: Eulerian available energetics in moist atmospheres. J. Atmos. Sci., 62, 4238-4252.
4. Bannon, P. R., J. M. Chagnon, and R. P. James, 2006: Mass conservation and the anelastic approximation. Mon. Wea. Rev., 134, 2989-3005.
5. Bryan, G. H., and J. M. Fritsch, 2002: A benchmark simulation for moist nonhydrostatic numerical models. Mon. Wea. Rev., 130, 2917-2928.
6. Bryan, G. H., and R. Rotunno, 2008: Gravity currents in a deep anelastic model. J. Atmos. Sci., 65, 536-556.
7. Bryan, G. H., J. C. Wyngaard, and J. M. Fritsch, 2003: Resolution requirements for the simulation of deep moist convection. Mon. Wea. Rev., 131, 2394-2416.
8. Clark, T. L., and W. R. Peltier, 1977: On the evolution and stability of finite-amplitude mountain waves. J. Atmos. Sci., 34, 1715-1730.
9. Durran, D. R., 1989: Improving the anelastic approximation. J. Atmos. Sci., 46, 1453-1461.
10. Dutton, J. A., and G. H. Fichtl, 1969: Approximate equations of motion for gases and liquids. J. Atmos. Sci., 26, 241-254.
11. Edson, A. R., and P. R. Bannon, 2008: Nonlinear atmospheric adjustment to momentum forcing. J. Atmos. Sci., 65, 953-969.
12. Fanelli, P. F., and P. R. Bannon, 2005: Nonlinear atmospheric adjustment to thermal forcing. J. Atmos. Sci., 62, 4253-4272.
13. Gough, D. O., 1969: The anelastic approximation for thermal convection. J. Atmos. Sci., 26, 448-456.
14. Holton, J. R., 2004: An Introduction to Dynamic Meteorology. 4th ed. Elsevier, 535 pp.
15. Klemp, J. B., and R. B. Wilhelmson, 1978: The simulation of three-dimensional convective storm dynamics. J. Atmos. Sci., 35, 1070-1096.
16. Lipps, F. B., 1990: On the anelastic approximation for deep convection. J. Atmos. Sci., 47, 1794-1798.
17. Lipps, F. B., and R. S. Hemler, 1982: A scale analysis of deep moist convection and some related numerical calculations. J. Atmos. Sci., 39, 2192-2210.
18. Lipps, F. B., and R. S. Hemler, 1985: Another look at the scale analysis for deep moist convection. J. Atmos. Sci., 42, 1960-1964.
19. Lorenz, E. N., 1955: Available potential energy and the maintenance of the general circulation. Tellus, 7, 157-167.
20. Ogura, Y., and N. A. Phillips, 1962: Scale analysis of deep and shallow convection in the atmosphere. J. Atmos. Sci., 19, 173-179.
21. Ooyama, K. V., 2001: A dynamic and thermodynamic foundation for modeling the moist atmosphere with parameterized microphysics. J. Atmos. Sci., 58, 2073-2102.
22. Wilhelmson, R., and Y. Ogura, 1972: The pressure perturbation and the numerical modeling of a cloud. J. Atmos. Sci., 29, 1295-1307.