Subscale forcing in a global atmospheric circulation model and stochastic parametrization

Quarterly Journal of the Royal Meteorological Society

Volumn 132, Issue 618 A, 2006, Pages 1627-1643

  Seiffert, Rita ^a   Blender, Richard ^a   Fraedrich, Klaus ^a  

^a UNIVERSITY OF HAMBURG   (Germany)

Author keywords

Eddy viscosity; Primitive equations; Subgrid variability

Indexed keywords

COMPUTER SIMULATION; CORRELATION METHODS; HEAT TRANSFER; RANDOM PROCESSES; VISCOSITY; VORTEX FLOW;

EDDY VISCOSITY; GLOBAL ATMOSPHERIC CIRCULATION MODEL; STOCHASTIC PARAMETRIZATION; SUBGRID VARIABILITY; SUBSCALE FORCING;

ATMOSPHERIC MOVEMENTS;

ATMOSPHERIC CIRCULATION; ATMOSPHERIC FORCING; ATMOSPHERIC MODELING; DIABATIC PROCESS; FRICTION; STOCHASTICITY;

EID: 33748790664     PISSN: 00359009     EISSN: None     Source Type: Journal    
DOI: 10.1256/qj.05.139     Document Type: Article

References (27)

1. Bartello, P., Métais, O. and Lesieur, M. 1996 Geostrophic versus wave eddy viscosities in atmospheric models. J. Atmos. Sci., 53, 564-571
2. Boer, G. J. and Shepherd, T. G. 1983 Large-scale two-dimensional turbulence in the atmosphere. J. Atmos. Sci., 40, 164-184
3. Buizza, R., Miller, M. and Palmer, T. N. 1999 Stochastic representation of model uncertainties in the ECMWF Ensemble Prediction System. Q. J. R. Meteorol. Soc., 125, 2887-2908
4. Buizza, R., Barkmeijer, J., Palmer, T. N. and Richardson, D. S. 2000 Current status and future developments of the ECMWF Ensemble Prediction System. Meteorol. Appl., 7, 163-175
5. Domaradzki, J. A., Metcalfe, R. W., Rogallo, R. S. and Riley, J. J. 1987 Analysis of subgrid-scale eddy viscosity with use of results from direct numerical simulations. Phys. Rev. Lett., 58, 547-550
6. Fraedrich, K., Kirk, E., Luksch, U. and Lunkeit, F. 2005a The Portable University Model of the Atmosphere (PUMA): Storm track dynamics and low-frequency variability. Meteorol. Zeitschrift, 14, 735-745
7. Fraedrich, K., Jansen, H., Kirk, E., Luksch, U. and Lunkeit, F. 2005b The Planet Simulator: Towards a user friendly model. Meteorol. Zeitschrift, 14, 299-304, http://www.mi.uni-hamburg.de/plasim
8. Fraedrich, K., Jansen, H., Kirk, E. and Lunkeit, F. 2005c The Planet Simulator: Green planet and desert world. Meteorol. Zeitschrift, 14, 305-314
9. Frederiksen, J. S. and Davies, A. G. 1997 Eddy viscosity and stochastic backscatter parameterizations on the sphere for atmospheric circulation models. J. Atmos. Sci., 54, 2475-2492
10. Hoskins, B. J. and Simmons, A. J. 1975 A multi-layer spectral model and the semi-implicit method. Q. J. R. Meteorol. Soc., 101, 637-655
11. Hoskins, B., Palmer, T. and Shutts, G. 2004 Stochastic physics. European Centre for Medium-Range Weather Forecasts, http://www.ecmwf.int/about/ special_projects/hoskins_stochastic_physica/report_2005.pdf
12. James, I. N. and Gray, L. J. 1986 Concerning the effect of surface drag on the circulation of a baroclinic planetary atmosphere. Q. J. R. Meteorol. Soc., 112, 1231-1250
13. Kaas, E., Guldberg, A., May, W. and Déqué, M. 1999 Using tendency errors to tune the parameterization of unresolved dynamical scale interactions in atmospheric general circulation models. Tellus, 51A, 612-629
14. Koshyk, J. N. and Boer, G. J. 1995 Parameterization of dynamical subgrid-scale processes in a spectral GCM. J. Atmos. Sci., 52, 965-976
15. Kraichnan, R. H. 1976 Eddy viscosity in two and three dimensions. J. Atmos. Sci., 33, 1521-1536
16. Lesieur, M. and Rogallo, R. 1989 Large-eddy simulation of passive scalar diffusion in isotropic turbulence. Phys. Fluids A, 1, 718-722
17. Lin, J. W.-B. and Neelin, J. D. 2000 Influence of a stochastic moist convective parameterization on tropical climate variability. Geophys. Res. Lett., 27, 3691-3694
18. Lin, J. W.-B. and Neelin, J. D. 2002 Considerations for stochastic convective parameterization. J. Atmos. Sci., 59, 959-975
19. Palmer, T. N. 2001 A nonlinear dynamical perspective on model error: A proposal for non-local stochastic-dynamic parametrization in weather and climate prediction models. Q. J. R. Meteorol. Soc., 127, 279-304
20. Pérez-Muñuzuri, V., Lorenzo, M. N., Montero, P., Fraedrich, K., Kirk, E. and Lunkeit, F. 2003 Response of a global atmospheric circulation model to spatio-temporal stochastic forcing: Ensemble statistics. Nonlinear Processes in Geophys., 10, 453-461
21. Pérez-Muñuzuri, V., Deza, R., Fraedrich, K., Kunz, T. and Lunkeit, F. 2005 Coherence resonance in an atmospheric global circulation model. Phys. Rev. E, 71, 065602(1-4)
22. Shutts, G. 2001 'Some interpretations of stochastic physical parametrizations.' Pp. 111-126 in ECMWF Proceedings: Key issues in the parametrization of subgrid physical processes 3-7 September 2001, European Centre for Medium-Range Weather Forecasts
23. Starr, V. P. 1968 Physics of negative viscosity phenomena. McGraw-Hill, New York
24. von Storch, J.-S. 2004 On statistical dissipation in GCM-climate. Clin. Dyn., 23, 1-15
25. Theis, S., Hense, A., Damrath, U. and Renner, V. 2003 'Deriving probabilistic precipitation forecasts from LM simulations'. COSMO Newsletter, 3, 209-220
26. Tran, C. V. and Shepherd, T. G. 2002 Constraints on the spectral distribution of energy and enstrophy dissipation in forced two-dimensional turbulence. Physica D, 165, 199-212
27. Zhang, Y. and Held, I. M. 1999 A linear stochastic model of a GCM's midlatitude storm tracks. J. Atmos. Sci., 56, 3416-3435