Response of Climate Simulation to a New Convective Parameterization in the National Center for Atmospheric Research Community Climate Model (CCM3)

Guang J. Zhang Center for Clouds, Chemistry, and Climate and Center for Atmospheric Sciences, Scripps Institution of Oceanography, La Jolla, California

Search for other papers by Guang J. Zhang in
Current site
Google Scholar
PubMed
Close
,
Jeffrey T. Kiehl National Center for Atmospheric Research, Boulder, Colorado

Search for other papers by Jeffrey T. Kiehl in
Current site
Google Scholar
PubMed
Close
, and
Philip J. Rasch National Center for Atmospheric Research, Boulder, Colorado

Search for other papers by Philip J. Rasch in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

This study examines the response of the climate simulation by the National Center for Atmospheric Research Community Climate Model (CCM3) to the introduction of the Zhang and McFarlane convective parameterization in the model. It is shown that in the CCM3 the simulated surface climate in the tropical convective regimes, especially in the western Pacific warm pool, is markedly improved, yielding a much better agreement with the recent observations. The systematic bias in the surface evaporation, surface wind stress over the tropical Pacific Ocean in previous model simulations is significantly reduced, owing to the better simulation of the surface flow.

Experiments using identical initial and boundary conditions, but different convection schemes, are performed to isolate the role of the convection schemes and to understand the interaction between convection and the large-scale circulation in a convecting atmosphere. The comparison of the results from these experiments in the western Pacific warm pool suggests that use of the Zhang and McFarlane scheme makes a significant contribution to the improved climate simulation in CCM3. The simulated atmosphere using the Zhang and McFarlane scheme exhibits a quasi-equilibrium between convection and the large-scale processes. When this scheme is removed from the CCM3, such a quasi-equilibrium is no longer observed. In addition, the simulated thermodynamic structures, the surface evaporation, and surface winds in the Pacific warm pool become very similar to those in the CCM2 climate.

Examination of the temporal evolution of the various fields demonstrates that the stabilization of the atmosphere using the new convection scheme takes place during the transition from nonequilibrium to quasi equilibrium at the beginning of the time integration. After quasi equilibrium is reached, the atmosphere is warmer and more stable compared to the run without the new scheme. Associated with the more stable stratification, the atmospheric circulation becomes weaker, thus the surface winds and evaporation are weaker because of the coupling between thermodynamics and dynamics in the tropical troposphere.

Corresponding author address: Dr. Guang J. Zhang, Center for Clouds, Chemistry, and Climate, Scripps Institution of Oceanography, La Jolla, CA 92093-0221.

Abstract

This study examines the response of the climate simulation by the National Center for Atmospheric Research Community Climate Model (CCM3) to the introduction of the Zhang and McFarlane convective parameterization in the model. It is shown that in the CCM3 the simulated surface climate in the tropical convective regimes, especially in the western Pacific warm pool, is markedly improved, yielding a much better agreement with the recent observations. The systematic bias in the surface evaporation, surface wind stress over the tropical Pacific Ocean in previous model simulations is significantly reduced, owing to the better simulation of the surface flow.

Experiments using identical initial and boundary conditions, but different convection schemes, are performed to isolate the role of the convection schemes and to understand the interaction between convection and the large-scale circulation in a convecting atmosphere. The comparison of the results from these experiments in the western Pacific warm pool suggests that use of the Zhang and McFarlane scheme makes a significant contribution to the improved climate simulation in CCM3. The simulated atmosphere using the Zhang and McFarlane scheme exhibits a quasi-equilibrium between convection and the large-scale processes. When this scheme is removed from the CCM3, such a quasi-equilibrium is no longer observed. In addition, the simulated thermodynamic structures, the surface evaporation, and surface winds in the Pacific warm pool become very similar to those in the CCM2 climate.

Examination of the temporal evolution of the various fields demonstrates that the stabilization of the atmosphere using the new convection scheme takes place during the transition from nonequilibrium to quasi equilibrium at the beginning of the time integration. After quasi equilibrium is reached, the atmosphere is warmer and more stable compared to the run without the new scheme. Associated with the more stable stratification, the atmospheric circulation becomes weaker, thus the surface winds and evaporation are weaker because of the coupling between thermodynamics and dynamics in the tropical troposphere.

Corresponding author address: Dr. Guang J. Zhang, Center for Clouds, Chemistry, and Climate, Scripps Institution of Oceanography, La Jolla, CA 92093-0221.

Save
  • Arakawa, A., and W. H. Schubert, 1974: Interaction of a cumulus cloud ensemble with the large-scale environment. Part I. J. Atmos. Sci.,31, 674–701.

  • ——, and J.-M. Chen, 1987: Closure assumptions in the cumulus parameterization problem. Short- and Medium-Range Numerical Weather Prediction, T. Matsumo, Ed., J. Meteor. Soc. Japan, 107–131.

  • Bonan, G. B., 1996: A land surface model (LSM version 1.0) for ecological, hydrological and atmospheric studies: Technical description and user’s guide. NCAR Tech. Note NCAR/TN-417+STR, 150 pp. [Available from National Center for Atmospheric Research, Boulder, CO 80307.]

  • Brown, R. G., 1994: A modeling and observational study of convective interaction with large-scale dynamics in the Tropics. Ph.D. dissertation, University of Washington, 193 pp. [Available from Dept. of Atmospheric Sciences, University of Washington, Seattle, WA 98195.]

  • ——, and C. S. Bretherton, 1997: A test of the strict quasi-equilibrium theory on long space and timescales. J. Atmos. Sci.,54, 624–638.

  • Emanuel, K. A., 1994: Atmospheric Convection. Oxford University Press, 580 pp.

  • ——, J. D. Neelin, and C. S. Bretherton, 1994: On large-scale circulations in convecting atmospheres. Quart. J. Roy. Meteor. Soc.,20, 1111–1143.

  • Frank, W. M., H. Wang, and J. L. McBride, 1996: Rawinsonde budget analyses during the TOGA COARE IOP. J. Atmos. Sci.,53, 1761–1780.

  • Gates, W. L., 1992: AMIP: The atmospheric model intercomparison project. Bull. Amer. Meteor. Soc.,73, 1962–1970.

  • Hack, J. J., 1994: Parameterization of moist convection in the National Center for Atmospheric Research community climate model (CCM2). J. Geophys. Res.,99, 5551–5568.

  • ——, B. A. Boville, B. P. Briegleb, J. T. Kiehl, P. J. Rasch, and D. L. Williamson, 1993: Description of the NCAR Community Climate Model (CCM2). NCAR Tech. Note NCAR/TN-382+STR, 108 pp. [Available from National Center for Atmospheric Research, Boulder, CO 80307.]

  • ——, ——, J. T. Kiehl, P. J. Rasch, and D. L. Williamson, 1994: Climate statistics from the National Center for Atmospheric Research Community Climate Model CCM2. J. Geophys. Res.,99, 20 785–20 813.

  • ——, J. T. Kiehl, and J. W. Hurrell, 1998: The hydrologic and thermodynamic characteristics of the NCAR CCM3. J. Climate,11, 1179–1206.

  • Hurrell, J. W., J. J. Hack, and D. P. Baumhefner, 1993: Comparison of NCAR Community Climate Model climates. NCAR Tech. Note NCAR/TN-395+STR, 335 pp. [Available from National Center for Atmospheric Research, Boulder, CO 80307.]

  • ——, ——, B. A. Boville, D. L. Williamson, and J. T. Kiehl, 1998: The dynamical simulation of the NCAR Community Climate Model version 3 (CCM3). J. Climate,11, 1207–1236.

  • Kiehl, J. T., 1994: Sensitivity of a GCM climate simulation to differences in continental versus maritime cloud drop size. J. Geophys. Res.,99, 23 107–23 115.

  • ——, and B. P. Briegleb, 1992: Comparison of the observed and calculated clear sky greenhouse effect—Implications for climate studies. J. Geophys. Res.,97, 10 037–10 049.

  • ——, J. J. Hack, and B. P. Briegleb, 1994: The simulated earth radiation budget of the National Center for Atmospheric Research Community Climate Model CCM2 and comparisons with the Earth Radiation Budget Experiment (ERBE). J. Geophys. Res.,99, 20 815–20 827.

  • ——, ——, M. H. Zhang, and R. D. Cess, 1995: Sensitivity of a GCM climate to enhanced shortwave cloud absorption. J. Climate,8, 2200–2212.

  • ——, ——, G. B. Bonan, B. A. Boville, B. P. Briegleb, D. L. Williamson, and P. J. Rasch, 1996: Description of the NCAR Community Climate Model (CCM3). NCAR Tech. Note NCAR/TN-420+STR, 152 pp. [Available from National Center for Atmospheric Research, Boulder, CO 80307.]

  • ——, ——, ——, ——, D. L. Williamson, and P. J. Rasch, 1998a: The National Center for Atmospheric Research Community Climate Model: CCM3. J. Climate,11, 1131–1150.

  • ——, ——, and J. W. Hurrell, 1998b: The energy budget of the NCAR Community Climate Model: CCM3. J. Climate,11, 1151–1178.

  • Legates, D. R., and C. J. Willmott, 1990: Mean seasonal and spatial variability in gauge corrected precipitation. Int. J. Climatol.,10, 111–127.

  • Lin, X., and R. H. Johnson, 1996: Heating, moistening, and rainfall over the western Pacific warm pool during TOGA COARE. J. Atmos. Sci.,53, 3367–3383.

  • Neelin, J. D., and I. M. Held, 1987: Modeling tropical convergence based on the moist static energy budget. Mon. Wea. Rev.,115, 3–12.

  • Oberhuber, J. M., 1988: An atlas based on the “COADS” data set: The budgets of heat, buoyancy and turbulent kinetic energy at the surface of the global ocean. Max Planck Institute for Meteorology Rep. 15, 199 pp. [Available from Max-Planck-Institut für Meteorologie, Bundesstr. 55, D-20146 Germany.]

  • Parsons, D., and Coauthors, 1994: The integrated sounding systems: Description and preliminary observations from TOGA COARE. Bull. Amer. Meteor. Soc.,75, 553–567.

  • Ramanathan, V., R. D. Cess, E. F. Harrison, P. Minnis, B. P. Barkstrom, E. Ahmad, and D. L. Hartmann, 1989: Cloud radiative forcing and climate: Results from the Earth Radiation Budget Experiment. Science,243, 57–63.

  • ——, B. Subasilar, G. J. Zhang, W. Conant, R. D. Cess, J. T. Kiehl, H. Grassl, and L. Shi, 1995: Warm pool heat budget and shortwave cloud forcing: A missing physics? Science,267, 499–503.

  • Smull, B. F., and M. J. McPhaden, 1996: Comparison of NCEP/NCAR reanalyzed fields and surface observations over the TOGA-TAO array. Proc. 21st Climate Diagnostics and Prediction Workshop, Huntsville, AB, 57–60.

  • Stevens, B., D. A. Randall, X. Lin, and M. T. Montgomery, 1997: Comments on “On large-scale circulation in convecting atmospheres” by Kerry A. Emanuel, J. David Neelin, and Christopher S. Bretherton. Quart. J. Roy. Meteor. Soc.,123, 1771–1778.

  • Williamson, D. L., J. Olson, and B. A. Boville, 1998: A comparison of semi-Lagrangian and Eulerian tropical climate simulations. Mon. Wea. Rev.,126, 1001–1012.

  • Wu, X. Q., and M. W. Moncrieff, 1996: Collective effects of organized convection and their approximation in general circulation models. J. Atmos. Sci.,53, 1477–1495.

  • Xu, K.-M., and K. A. Emanuel, 1989: Is the tropical atmosphere conditionally unstable? Mon. Wea. Rev.,117, 1471–1479.

  • Yi, B., A. Del Genio, and K. Lo, 1998: CAPE variations in the current climate and in a climate change. J. Climate, in press.

  • Yu, J. Y., and J. D. Neelin, 1997: Analytic approximations for moist convectively adjusted regions. J. Atmos. Sci.,54, 1054–1063.

  • Zhang, G. J., 1994: Effects of cumulus convection on the simulated monsoon circulation in a general circulation model. Mon. Wea. Rev.,122, 2022–2038.

  • ——, and N. A. McFarlane, 1995: Sensitivity of climate simulations to the parameterization of cumulus convection in the Canadian Climate Centre general circulation model. Atmos.Ocean,33, 407–446.

  • ——, and M. J. McPhaden, 1995: The relationship between sea surface temperature and latent heat flux in the equatorial Pacific. J. Climate,8, 589–605.

  • ——, and R. L. Grossman, 1996: Surface evaporation during the Central Equatorial Pacific Experiment: A climate-scale perspective. J. Climate,9, 2522–2537.

  • Zhang, M. H., 1996: Impact of the convection-wind-evaporation feedback on surface climate simulation in general circulation models. Climate Dyn.,12, 299–312.

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 799 603 57
PDF Downloads 102 26 2