Large eddy simulation of the atmosphere on various scales

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Volumn 367, Issue 1899, 2009, Pages 2947-2956

  Cullen, M J P ^a   Brown, A R ^a  

^a MET OFFICE   (United Kingdom)

Author keywords

Atmospheric models; Implicit large eddy modelling; Specialized subgrid models

Indexed keywords

ATMOSPHERIC THERMODYNAMICS; CLIMATE CHANGE; LARGE EDDY SIMULATION; NAVIER STOKES EQUATIONS; WEATHER FORECASTING;

ATMOSPHERIC MODELS; BOUNDARY FORCING; COARSER RESOLUTION MODEL; DIRECT SIMULATION; DISCRETIZATION; GLOBAL ATMOSPHERIC MODELS; IMPLICIT LARGE EDDY MODELLING; LARGE EDDY; LAWS OF THERMODYNAMICS; LONG-TERM PREDICTION; NUMERICAL SIMULATION; ORDERS OF MAGNITUDE; SCALE MODELS; SPECIALIZED SUBGRID MODELS; SUBGRID MODEL; SUBGRID SCALE; WEATHER FORECASTS;

SIMULATORS;

EID: 67650848423     PISSN: 1364503X     EISSN: None     Source Type: Journal    
DOI: 10.1098/rsta.2008.0268     Document Type: Article

References (13)

1. Brown, A. R., MacVean, M. K. & Mason, P. J. 2000 The effects of numerical dissipation in largeeddy simulations. J. Atmos. Sci. 57, 3337-3348. (doi:10.1175/1520-0469 (2000) 057<3337:TEO NDI>2.0. CO;2)
2. Cullen, M. J. P. 2006 A mathematical theory of large-scale atmospheric flow, p. 259. London, UK: Imperial College Press.
3. Cullen, M. J. P. 2007 Modelling atmospheric flows. Acta Numer. 16, 67-154. (doi:10.1017/S0962492906290019)
4. Lean, H. W., Clark, P. A., Dixon, M., Roberts, N. M., Fitch, A., Forbes, R. & Halliwell, C. 2008 Characteristics of high resolution versions of the Met Office Unified Model for forecasting convection over the UK. Mon. Weather Rev. 136, 3408-3424. (doi:10.1175/2008MWR2332.1)
5. Mason, P. J. & Brown, A. R. 1999 On subgrid models and filter operations in large eddy simulations. J. Atmos. Sci. 56, 2101-2114. (doi:10.1175/1520-0469 (1999) 056<2101:OSM AFO>2.0. CO;2)
6. Nastrom, G. D. & Gage, K. S. 1985 A climatology of atmospheric wavenumber spectra of wind and temperature observed by commercial aircraft. J. Atmos. Sci. 42, 950-960. (doi:10.1175/1520-0469 (1985) 042<0950:ACOAWS>2.0. CO;2)
7. Randall, D. et al. 2003 Confronting models with data: the GEWEX cloud systems study. Bull. Am. Meteorol. Soc. 84, 455-469. (doi:10.1175/BAMS-84-4-455)
8. Smagorinsky, J. 1963 General circulation experiments with the primitive equations. I. The basic experiment. Mon. Weather Rev. 91, 99-164. (doi:10.1175/1520-0493 (1963) 091<0099:GCE WTP>2.3. CO;2)
9. Smagorinsky, J. 1974 Global atmospheric modelling and the numerical simulation of climate. In Weather and climate modification, pp. 633-686, 842. New York, NY: Wiley.
10. Smith, R. K. (ed.) 1997 The physics and parameterisation of moist atmospheric convection, p. 498. Dordrecht, The Netherlands: Kluwer.
11. Smith, S. A., Doyle, J. D., Brown, A. R. & Webster, S. 2006 Sensitivity of resolved mountain drag to model resolution for MAP case studies. Q. J. R. Meteorol. Soc. 132, 1467-1487. (doi:10.1256/qj.05.67)
12. Stevens, B. et al. 2005 Evaluations of large-eddy simulations via observations of nocturnal marine stratocumulus. Mon. Weather Rev. 133, 1443-1462. (doi:10.1175/MWR2930.1)
13. Webster, S., Brown, A. R., Cameron, D. R. & Jones, C. P. 2003 Improvements to the representation of orography in the Met Office Unified Model. Q. J. R. Meteorol. Soc. 129, 1989-2010. (doi:10.1256/qj.02.133)