On the effects of the damping mechanisms in an atmospheric general circulation model

References

• Baede, A. P. M., Jarraud, M. and Cubasch, U. 1979. Adiabatic formulation and organization of ECMWF's spectral model. ECMWF Technical Report No. 15, 40 pp.
   Google Scholar
• Betts, A. K. 1986. A new convective adjustment scheme. Part I: Observational and theoretical basis. Quart. J. R. Met. Soc. 112, 677–691.
   Web of Science ®Google Scholar
• Betts, A. K. and Miller, M. J. 1986. A new convective adjustment scheme. Part II: Single column tests using GATE wave, BOMEX, ATEX and arctic air-mass data sets. Quart. J. R. Met. Soc. 112, 693–709.
   Web of Science ®Google Scholar
• Blackadar, A. K. 1962. The vertical distribution of wind and turbulent exchange in a neutral atmos-phere. J. Geophys. Res. 67, 3095–3102.
   Web of Science ®Google Scholar
• Blackmon, M. L., Mullen, S. L. and Bates, G. T. 1986. The climatology of blocking events in a perpetual January simulation of a spectral circulation model. J. Atmos. Sci. 41, 1379–1405.
   Web of Science ®Google Scholar
• Boer, G. J. and Shepherd, T. G. 1983. Large-scale two-dimensional turbulence in the atmosphere. J. Atmos. Sci. 40, 164–184.
   Web of Science ®Google Scholar
• Boer, G. J., McFarlane, N. A., Laprise, R., Henderson, J. D. and Blanchet, J.-P. 1984. The Canadian climate centre spectral atmospheric general circulation model. Atmosphere-Ocean 22, 397–429.
   Google Scholar
• Boville, B. A. 1984. The influence of the polar night jet on the tropospheric circulation in a GCM. J. Atmos. Sci. 41, 1132–1142.
   Web of Science ®Google Scholar
• Charnock, H. 1955. Wind stress on a water surface. Quart. J. Roy. Met. Soc. 81, 639–640.
   Web of Science ®Google Scholar
• Chen, T.-C. and Wiin-Nielsen, A. 1978. Nonlinear cascades of atmospheric energy and enstrophy in a two-dimensional spectral index. Tellus 30, 313–322.
   Google Scholar
• Cubasch, U. 1985. The mean response of the ECMWF global model to the El Nitio anomaly in extended range prediction experiments. Atmosphere-Ocean 23, 43–66.
   Google Scholar
• Dickinson, A. 1985. The impact of some parameter-izations on the UK Meteorological office's forecast models. Proceedings of ECMWF seminar on Physical Parameterizations, 9-13 September 1985, Vol. 2, 251–276.
   Google Scholar
• Eliasen, E. 1982. Climate modeling using an equivalent meridional circulation. Tellus 34,228–244.
   Google Scholar
• Eliasen, E., Machenhauer, B. and Rasmussen, E. 1970. On a numerical method for integrations of the hydrodynamical equations with a spectral represen-tation of the horizontal fields. Report. No. 2, Institute of Theoretical Meteorology, University of Copenhagen, Denmark, 37 pp.
   Google Scholar
• Fischer, G., ed. 1987. Climate simulations with the ECMWF T21-model in Hamburg. Report No. 1, Meteorologischer Institut, University of Hamburg, Federal Republic of Germany, 159 pp.
   Google Scholar
• Geleyn, J.-F. and Hollingsworth, A. 1979. An economical analytical method for the computation of the interaction between scattering and line absorption of radiation. Beitr. Phys. Atmos. 52, 1-16. Jarraud, M., Simmons, A. J. and Kanamitsu, M. 1985. Impact of an envelope orography in the ECMWF model. Proceedings of ECMWF seminar on Physical Parameterizations, 9-13 September 1985, Vol. 2, 199–249.
   Google Scholar
• Leith, C. E. 1971. Atmospheric predictability and two-dimensional turbulence. J. Atmos. Sci. 28, 145–161.
   Web of Science ®Google Scholar
• Lilly, D. K. 1972. Wave momentum flux-a GARP problem. Bull. Am. Met. Soc. 53, 17–23.
   Web of Science ®Google Scholar
• Louis, J.-F. 1979. A parametric model of vertical eddy fluxes in the atmosphere. Boundary-layer Meteorol. 17, 187–202.
   Web of Science ®Google Scholar
• MacVean, M. K. 1983. The effect of horizontal dif-fusion on baroclinic development in a spectral model. Quart. J. R. Met. Soc. 109, 771–783.
   Web of Science ®Google Scholar
• Oort, A. H. and Peixoto, J. P. 1983. Global angular momentum and energy balance requirements from observations. Advances in Geophysics 25, 355–490.
   Web of Science ®Google Scholar
• Orszag, S. A. 1970. Transform method for calculation of vector coupled sums: applications to the spectral form of the vorticity equation. J. Atmos. Sci. 27, 890–895.
   Web of Science ®Google Scholar
• Palmer, T. N., Shutts, G. J. and Swinbank, R. 1986. Alleviation of a systematic westerly bias in general circulation and numerical weather prediction models through an orographic gravity wave drag parameter-ization. Quart. J. R. Met. Soc. 112, 1001–1039.
   Web of Science ®Google Scholar
• Pitcher, E. J., Malone, R. C., Ramanathan, V., Blackmon, M. L., Pain, K. and Bourke, W. 1983. January and July simulations with a spectral general circulation model. J. Atmos. Sci. 36, 1498–1529.
   Google Scholar
• Ramanathan, V., Pitcher, E. J., Malone, R. C. and Blackmon, M. L. 1983. The response of a general circulation model to refinements in radiative processes. J. Atmos. Sci. 40, 605–630.
   Web of Science ®Google Scholar
• Simmons, A. J. and Bengtsson, L. 1984. Atmospheric general circulation models: their design and use for climate studies. In: The global climate (ed. J. T. Houghton). Cambridge: University Press, 37–56.
   Google Scholar
• Tiedtke, M. 1985. Effect of physical parameterization on the large-scale flow in the ECMWF model. Proceedings of ECMWF seminar on Physical Parameterizations, 9-13 September 1985, Vol. 2, 277–314.
   Google Scholar
• Tiedtke, M., Geleyn, J.-F., Hollingsworth, A. and Louis, J.-F. 1979. ECMWF model parameterizations of sub-gridscale processes. ECMWF Tech. Report No. 10, 46 pp.
   Google Scholar
• Volmer, J. P., Deque, M. and Rousselt, D. 1984. EOF analysis of 500 mb geopotential: A comparison between simulation and reality. Tellus 36A, 336–347.
   Google Scholar
• Wallace, J. M., Tibaldi, S. and Simmons, A. J. 1983. Reduction of systematic errors in the ECMWF model through the introduction of an envelope orography. Quart. J. R. Met. Soc. 109, 683–718.
   Web of Science ®Google Scholar
• Zwiers, F. W. and Boer, G. J. 1987. A comparison of climates simulated by a general circulation model when run in the annual and perpetual modes. Mon. Wea. Rev. 115, 2626–2644.
   Web of Science ®Google Scholar