Simple Solutions to Steady-State Cumulus Regimes in the Convective Boundary Layer

Jerôme Schalkwijk Delft University of Technology, Delft, Netherlands

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Harmen J. J. Jonker Delft University of Technology, Delft, Netherlands

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A. Pier Siebesma Delft University of Technology, Delft, and Royal Netherlands Meteorological Institute, De Bilt, Netherlands

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Abstract

A modeling framework is developed that extends the mixed-layer model to steady-state cumulus convection. The aim is to consider the simplest model that retains the essential behavior of cumulus-capped layers. The presented framework allows for the evaluation of stationary states dependent on external parameters. These states are completely independent of the initial conditions, and therefore represent an asymptote that might help deepen understanding of the dependence of the cloudy boundary layer on external forcings. Formulating separate equations for the lifting condensation level and the mixed-layer height, the dry and wet energetics can be distinguished. Regimes that can support steady-state cumulus clouds and regimes that cannot are identified by comparison of the dry and wet buoyancy effects. The dominant mechanisms that govern the creation and eventual depth of the cloud layer are identified. Model predictions are tested by comparison with a large number of independent large-eddy simulations for varying surface and large-scale conditions and are found to be in good agreement.

Corresponding author address: Jerôme Schalkwijk, Delft University of Technology, Stevinweg 1, 2628 CN Delft, Netherlands. E-mail: j.schalkwijk@tudelft.nl

Abstract

A modeling framework is developed that extends the mixed-layer model to steady-state cumulus convection. The aim is to consider the simplest model that retains the essential behavior of cumulus-capped layers. The presented framework allows for the evaluation of stationary states dependent on external parameters. These states are completely independent of the initial conditions, and therefore represent an asymptote that might help deepen understanding of the dependence of the cloudy boundary layer on external forcings. Formulating separate equations for the lifting condensation level and the mixed-layer height, the dry and wet energetics can be distinguished. Regimes that can support steady-state cumulus clouds and regimes that cannot are identified by comparison of the dry and wet buoyancy effects. The dominant mechanisms that govern the creation and eventual depth of the cloud layer are identified. Model predictions are tested by comparison with a large number of independent large-eddy simulations for varying surface and large-scale conditions and are found to be in good agreement.

Corresponding author address: Jerôme Schalkwijk, Delft University of Technology, Stevinweg 1, 2628 CN Delft, Netherlands. E-mail: j.schalkwijk@tudelft.nl
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  • Ball, F., 1960: Control of inversion height by surface heating. Quart. J. Roy. Meteor. Soc., 86, 483494.

  • Bellon, G., and B. Stevens, 2012: Using the sensitivity of large-eddy simulations to evaluate atmospheric boundary layer models. J. Atmos. Sci., 69, 15821601.

    • Search Google Scholar
    • Export Citation
  • Bellon, G., and B. Stevens, 2013: Time scales of the trade wind boundary layer adjustment. J. Atmos. Sci., 70, 10711083.

  • Betts, A., 1973: Non-precipitating cumulus convection and its parameterization. Quart. J. Roy. Meteor. Soc., 99, 178196.

  • Betts, A., and W. Ridgway, 1989: Climatic equilibrium of the atmospheric convective boundary layer over a tropical ocean. J. Atmos. Sci., 46, 26212641.

    • Search Google Scholar
    • Export Citation
  • Bony, S., and Coauthors, 2006: How well do we understand and evaluate climate change feedback processes? J. Climate, 19, 34453482.

  • Bretherton, C., and M. Wyant, 1997: Moisture transport, lower-tropospheric stability, and decoupling of cloud-topped boundary layers. J. Atmos. Sci., 54, 148167.

    • Search Google Scholar
    • Export Citation
  • Bretherton, C., and S. Park, 2008: A new bulk shallow-cumulus model and implications for penetrative entrainment feedback on updraft buoyancy. J. Atmos. Sci., 65, 21742193.

    • Search Google Scholar
    • Export Citation
  • Deardorff, J. W., 1970: Preliminary results from numerical integrations of the unstable planetary boundary layer. J. Atmos. Sci., 27, 12091210.

    • Search Google Scholar
    • Export Citation
  • de Roode, S., and P. Duynkerke, 1997: Observed Lagrangian transition of stratocumulus into cumulus during ASTEX: Mean state and turbulence structure. J. Atmos. Sci., 54, 21572173.

    • Search Google Scholar
    • Export Citation
  • Dufresne, J., and S. Bony, 2008: An assessment of the primary sources of spread of global warming estimates from coupled atmosphere–ocean models. J. Climate, 21, 51355144.

    • Search Google Scholar
    • Export Citation
  • Grenier, H., and C. S. Bretherton, 2001: A moist PBL parameterization for large-scale models and its application to subtropical cloud-topped marine boundary layers. Mon. Wea. Rev., 129, 357377.

    • Search Google Scholar
    • Export Citation
  • Heus, T., and H. Jonker, 2008: Subsiding shells around shallow cumulus clouds. J. Atmos. Sci., 65, 10031018.

  • Heus, T., and Coauthors, 2010: Formulation of the Dutch Atmospheric Large-Eddy Simulation (DALES) and overview of its applications. Geosci. Model Dev., 3, 415444.

    • Search Google Scholar
    • Export Citation
  • Lilly, D., 1968: Models of cloud-topped mixed layers under a strong inversion. Quart. J. Roy. Meteor. Soc., 94, 292309.

  • Moeng, C., 2000: Entrainment rate, cloud fraction, and liquid water path of PBL stratocumulus clouds. J. Atmos. Sci., 57, 36273643.

  • Neggers, R., B. Stevens, and J. Neelin, 2006: A simple equilibrium model for shallow-cumulus-topped mixed layers. Theor. Comput. Fluid Dyn., 20, 305322.

    • Search Google Scholar
    • Export Citation
  • Nicholls, S., and J. Turton, 1986: An observational study of the structure of stratiform cloud sheets: Part II. Entrainment. Quart. J. Roy. Meteor. Soc., 112, 461480.

    • Search Google Scholar
    • Export Citation
  • Nuijens, L., and B. Stevens, 2012: The influence of wind speed on shallow marine cumulus convection. J. Atmos. Sci., 69, 168184.

  • Paluch, I., 1979: The entrainment mechanism in Colorado cumuli. J. Atmos. Sci., 36, 24672478.

  • Rauber, R., and Coauthors, 2007: Rain in shallow cumulus over the ocean: The RICO campaign. Bull. Amer. Meteor. Soc., 88, 19121928.

  • Reuter, G., and M. Yau, 1987: Mixing mechanisms in cumulus congestus clouds. Part I: Observations. J. Atmos. Sci., 44, 781797.

  • Schalkwijk, J., E. Griffith, H. Post, and H. Jonker, 2012: High performance simulations of turbulent clouds on a desktop PC: Exploiting the GPU. Bull. Amer. Meteor. Soc., 93, 307314.

    • Search Google Scholar
    • Export Citation
  • Siebesma, A., and J. Cuijpers, 1995: Evaluation of parametric assumptions for shallow cumulus convection. J. Atmos. Sci., 52, 650666.

    • Search Google Scholar
    • Export Citation
  • Siebesma, A., and Coauthors, 2003: A large eddy simulation intercomparison study of shallow cumulus convection. J. Atmos. Sci., 60, 12011219.

    • Search Google Scholar
    • Export Citation
  • Stevens, B., 2000: Cloud transitions and decoupling in shear-free stratocumulus-topped boundary layers. Geophys. Res. Lett., 27, 25572560.

    • Search Google Scholar
    • Export Citation
  • Stevens, B., 2006: Bulk boundary-layer concepts for simplified models of tropical dynamics. Theor. Comput. Fluid Dyn., 20, 279304.

  • Stevens, B., 2007: On the growth of layers of nonprecipitating cumulus convection. J. Atmos. Sci., 64, 29162931.

  • Sullivan, P., C. Moeng, B. Stevens, D. Lenschow, and S. Mayor, 1998: Structure of the entrainment zone capping the convective atmospheric boundary layer. J. Atmos. Sci., 55, 30423064.

    • Search Google Scholar
    • Export Citation
  • Tennekes, H., 1973: A model for the dynamics of the inversion above a convective boundary layer. J. Atmos. Sci., 30, 558567.

  • van Driel, R., and H. Jonker, 2011: Convective boundary layers driven by nonstationary surface heat fluxes. J. Atmos. Sci., 68, 727738.

    • Search Google Scholar
    • Export Citation
  • Vilà-Guerau de Arellano, J., B. Gioli, F. Miglietta, H. J. J. Jonker, H. K. Baltink, R. W. A. Hutjes, and A. A. M. Holtslag, 2004: Entrainment process of carbon dioxide in the atmospheric boundary layer. J. Geophys. Res., 109, D18110, doi:10.1029/2004JD004725.

    • Search Google Scholar
    • Export Citation
  • Zhang, M., and C. Bretherton, 2008: Mechanisms of low cloud–climate feedback in idealized single-column simulations with the Community Atmospheric Model, version 3 (CAM3). J. Climate, 21, 48594878.

    • Search Google Scholar
    • Export Citation
  • Zhang, Y., B. Stevens, B. Medeiros, and M. Ghil, 2009: Low-cloud fraction, lower-tropospheric stability, and large-scale divergence. J. Climate, 22, 48274844.

    • Search Google Scholar
    • Export Citation
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