Precipitation and Evolution Sensitivity in Simulated Deep Convective Storms: Comparisons between Liquid-Only and Simple Ice and Liquid Phase Microphysics

Matthew S. Gilmore NOAA/National Severe Storms Laboratory, and Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, Oklahoma

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Jerry M. Straka School of Meteorology, University of Oklahoma, Norman, Oklahoma

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Erik N. Rasmussen NOAA/National Severe Storms Laboratory, and Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, Oklahoma

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Abstract

Weisman and Klemp suggested that their liquid-only, deep convective storm experiments should be repeated with a liquid-ice microphysics scheme to determine if the solutions are qualitatively the same. Using a three-dimensional, nonhydrostatic cloud model, such results are compared between three microphysics schemes: the “Kessler” liquid-only scheme (used by Weisman and Klemp), a Lin–Farley–Orville-like scheme with liquid and ice parameterization (Li), and the same Lin–Farley–Orville-like microphysics scheme but with only liquid processes turned on (Lr). Convection is simulated using a single thermodynamic profile and a variety of shear profiles. The shear profiles are represented by five idealized half-circle wind hodographs with arc lengths (Us) of 20, 25, 30, 40, and 50 m s−1. The precipitation, cold pool characteristics, and storm evolution produced by the different schemes are compared.

The Kessler scheme produces similar accumulated precipitation over 2 h compared to Lr for all shear regimes. Although Kessler's rain evaporation rate is 1.5–1.8 times faster in the lower troposphere, rain production is also faster via accretion and autoconversion of cloud water. In addition, nearly ∼40% more accumulated precipitation occurs in Li compared to Lr. This can be attributed primarily to increased precipitation production rates and enhanced low-level precipitation fluxes in Li for all shear regimes. Differences in the amount of precipitation reaching ground and the low-level cooling rates also cause differences in storm cold pools.

For the Us = 25 shear regime, microphysics cases with colder low-level outflow are shown to be associated with temporarily weaker (Li) or shorter-lived (Kessler) supercells as compared to cases with warmer outflow (Lr). This is consistent with a previous study showing that the cold pool has a greater relative impact on the storm updraft compared to dynamic forcing for weaker shear.

Corresponding author address: Dr. Matthew S. Gilmore, Dept. of Atmospheric Sciences, University of Illinois, 105 S. Gregory St., Urbana, IL 61801. Email: gilmore@atmos.uiuc.edu

Abstract

Weisman and Klemp suggested that their liquid-only, deep convective storm experiments should be repeated with a liquid-ice microphysics scheme to determine if the solutions are qualitatively the same. Using a three-dimensional, nonhydrostatic cloud model, such results are compared between three microphysics schemes: the “Kessler” liquid-only scheme (used by Weisman and Klemp), a Lin–Farley–Orville-like scheme with liquid and ice parameterization (Li), and the same Lin–Farley–Orville-like microphysics scheme but with only liquid processes turned on (Lr). Convection is simulated using a single thermodynamic profile and a variety of shear profiles. The shear profiles are represented by five idealized half-circle wind hodographs with arc lengths (Us) of 20, 25, 30, 40, and 50 m s−1. The precipitation, cold pool characteristics, and storm evolution produced by the different schemes are compared.

The Kessler scheme produces similar accumulated precipitation over 2 h compared to Lr for all shear regimes. Although Kessler's rain evaporation rate is 1.5–1.8 times faster in the lower troposphere, rain production is also faster via accretion and autoconversion of cloud water. In addition, nearly ∼40% more accumulated precipitation occurs in Li compared to Lr. This can be attributed primarily to increased precipitation production rates and enhanced low-level precipitation fluxes in Li for all shear regimes. Differences in the amount of precipitation reaching ground and the low-level cooling rates also cause differences in storm cold pools.

For the Us = 25 shear regime, microphysics cases with colder low-level outflow are shown to be associated with temporarily weaker (Li) or shorter-lived (Kessler) supercells as compared to cases with warmer outflow (Lr). This is consistent with a previous study showing that the cold pool has a greater relative impact on the storm updraft compared to dynamic forcing for weaker shear.

Corresponding author address: Dr. Matthew S. Gilmore, Dept. of Atmospheric Sciences, University of Illinois, 105 S. Gregory St., Urbana, IL 61801. Email: gilmore@atmos.uiuc.edu

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  • Anderson, J. R., K. K. Droegemeier, and R. B. Wilhelmson, 1985: Simulation of the thunderstorm subcloud environment. Preprints, 14th Conf. on Severe Local Storms, Indianapolis, IN, Amer. Meteor. Soc., 147–150.

    • Search Google Scholar
    • Export Citation
  • Arakawa, A., 1966: Computational design for long-term numerical integration of the equations of fluid motion: Two-dimensional incompressible flow. Part I. J. Comput. Phys, 12 , 1235.

    • Search Google Scholar
    • Export Citation
  • Asselin, R., 1972: Frequency filter for time integrations. Mon. Wea. Rev, 100 , 487490.

  • Beard, K. V., and H. R. Pruppacher, 1971: A wind tunnel investigation of the rate of evaporation of small water droplets falling at terminal velocity in air. J. Atmos. Sci, 28 , 14551464.

    • Search Google Scholar
    • Export Citation
  • Bennetts, D. A., and F. Rawlins, 1981: Parameterization of the ice phase in a model of midlatitude cumulonimbus convection and its influence on the simulation of cloud development. Quart. J. Roy. Meteor. Soc, 107 , 477502.

    • Search Google Scholar
    • Export Citation
  • Bryan, G. H., J. C. Wyngaard, and J. M. Fritsch, 2003: Resolution requirements for the simulation of deep moist convection. Mon. Wea. Rev, 131 , 23942416.

    • Search Google Scholar
    • Export Citation
  • Carpenter Jr., R. L., K. K. Droegemeier, and A. M. Blyth, 1998: Entrainment and detrainment in numerically simulated cumulus congestus clouds. Part I: General results. J. Atmos. Sci, 55 , 34173432.

    • Search Google Scholar
    • Export Citation
  • Carver, R. W., 2001: Environmental parameter studies of modelled mesocyclonic supercells: Sensitivity to low-level vertical relative humidity profiles and shear. M.S. thesis, School of Meteorology, University of Oklahoma, 112 pp. [Available from Bizzell Library, University of Oklahoma, 401 W. Brooks St., Norman, OK 73019-6030.].

    • Search Google Scholar
    • Export Citation
  • Chen, S., and W. R. Cotton, 1988: The sensitivity of a simulated extratropical mesoscale convective system to longwave radiation and ice-phase microphysics. J. Atmos. Sci, 45 , 38973910.

    • Search Google Scholar
    • Export Citation
  • Chorin, A. J., 1967: A numerical method for solving incompressible viscous flow problems. J. Comput. Phys, 2 , 1226.

  • Clark, T. L., 1977: A small-scale dynamic model using a terrain-following coordinate transformation. J. Comput. Phys, 24 , 186215.

  • Cotton, W. R., and G. J. Tripoli, 1978: Cumulus convection in shear flow: Three-dimensional numerical experiments. J. Atmos. Sci, 35 , 15031521.

    • Search Google Scholar
    • Export Citation
  • Cotton, W. R., and R. A. Anthes, 1989: Storm and Cloud Dynamics. Academic Press, 472 pp.

  • Cotton, W. R., M. A. Stephens, T. Nehrkorn, and G. J. Tripoli, 1982: Colorado State University three-dimensional cloud/mesoscale model— 1982. Part 2: An ice phase parameterization. J. Rech. Atmos, 16 , 295320.

    • Search Google Scholar
    • Export Citation
  • Fovell, R. G., and Y. Ogura, 1988: Numerical simulation of a midlatitude squall line in two dimensions. J. Atmos. Sci, 45 , 38463879.

  • Gilmore, M. S., and L. J. Wicker, 1998: The influence of midtropospheric dryness on supercell morphology and evolution. Mon. Wea. Rev, 126 , 943958.

    • Search Google Scholar
    • Export Citation
  • Heymsfield, A. J., A. Bansemer, P. R. Field, S. L. Durden, J. Stith, J. E. Dye, W. Hall, and T. Grainger, 2002: Observations and parameterizations of particle size distributions in deep tropical cirrus and stratiform clouds: Results from in situ observations in TRMM field campaigns. J. Atmos. Sci, 59 , 34573491.

    • Search Google Scholar
    • Export Citation
  • Hjelmfelt, M. R., R. D. Roberts, H. D. Orville, J. P. Chen, and F. J. Kopp, 1989: Observational and numerical study of a microburst line-producing storm. J. Atmos. Sci, 46 , 27312744.

    • Search Google Scholar
    • Export Citation
  • Jewett, B. F., R. B. Wilhelmson, J. M. Straka, and L. J. Wicker, 1990: Impact of ice parameterization on the low-level structure of modeled supercell thunderstorms. Preprints, 16th Conf. on Severe Local Storms, Kananaskis Park, AB, Canada, Amer. Meteor. Soc., 275–280.

    • Search Google Scholar
    • Export Citation
  • Johnson, D. E., P. K. Wang, and J. M. Straka, 1993: Numerical simulations of the 2 August 1981 CCOPE supercell storm with and without ice microphysics. J. Appl. Meteor, 32 , 745759.

    • Search Google Scholar
    • Export Citation
  • Johnson, D. E., P. K. Wang, and J. M. Straka, 1994: A study of microphysical processes in the 2 August 1981 CCOPE supercell storm. Atmos. Res, 33 , 93123.

    • Search Google Scholar
    • Export Citation
  • Kessler III, E., 1969: On the Distribution and Continuity of Water Substance in Atmospheric Circulation. Meteor. Monogr.,. No. 32, Amer. Meteor. Soc., 84 pp.

    • Search Google Scholar
    • Export Citation
  • Klemp, J. B., and D. K. Lilly, 1978: Numerical simulation of hydrostatic mountain waves. J. Atmos. Sci, 35 , 78107.

  • Klemp, J. B., and R. B. Wilhelmson, 1978: The simulation of three-dimensional convective storm dynamics. J. Atmos. Sci, 35 , 10701096.

    • Search Google Scholar
    • Export Citation
  • Knight, C. A., W. A. Cooper, D. W. Breed, I. R. Paluch, P. L. Smith, and G. Vali, 1982: Microphysics. Hailstorms of the Central High Plains., C. Knight and P. Squires, Eds., Vol. 1, Colorado Associated University Press, 151–193.

    • Search Google Scholar
    • Export Citation
  • Kramers, H., 1948: Heat transfer from spheres to flowing media. Physica, 12 , 6180.

  • Leonard, B. P., 1991: The ULTIMATE conservative difference scheme applied to unsteady one-dimensional advection. Comput. Methods Appl. Mech. Eng, 19 , 1774.

    • Search Google Scholar
    • Export Citation
  • Lin, Y-L., R. D. Farley, and H. D. Orville, 1983: Bulk parameterization of the snow field in a cloud model. J. Climate Appl. Meteor, 22 , 10651092.

    • Search Google Scholar
    • Export Citation
  • List, R., R. B. Charlton, and P. I. Buttuls, 1968: A numerical experiment on the growth and feedback mechanisms of hailstones in a one-dimensional steady-state model cloud. J. Atmos. Sci, 25 , 10611074.

    • Search Google Scholar
    • Export Citation
  • Marshall, J. S., and W. M. Palmer, 1948: The distribution of raindrops with size. J. Meteor, 5 , 165166.

  • Moncrieff, M. W., and J. S. A. Green, 1972: The propagation and transfer properties of steady convective overturning in shear. Quart. J. Roy. Meteor. Soc, 98 , 336352.

    • Search Google Scholar
    • Export Citation
  • Orville, H. D., and F. J. Kopp, 1977: Numerical simulation of the history of a hailstorm. J. Atmos. Sci, 34 , 15961618.

  • Orville, H. D., and J-M. Chen, 1982: Effects of cloud seeding, latent heat of fusion, and condensate loading on cloud dynamics and precipitation evolution: A numerical study. J. Atmos. Sci, 39 , 28072827.

    • Search Google Scholar
    • Export Citation
  • Orville, H. D., R. D. Farley, Y-C. Chi, and F. J. Kopp, 1989: The primary cloud physics mechanisms of microburst formation. Atmos. Res, 24 , 343357.

    • Search Google Scholar
    • Export Citation
  • Proctor, F. H., 1988: Numerical simulations of an isolated microburst. Part I: Dynamics and structure. J. Atmos. Sci, 45 , 31373160.

  • Proctor, F. H., 1989: Numerical simulations of an isolated microburst. Part II: Sensitivity experiments. J. Atmos. Sci, 46 , 21432165.

    • Search Google Scholar
    • Export Citation
  • Rotunno, R., and J. B. Klemp, 1982: The influence of the shear induced pressure gradient on thunderstorm motion. Mon. Wea. Rev, 110 , 136151.

    • Search Google Scholar
    • Export Citation
  • Rutledge, S. A., and P. V. Hobbs, 1983: The mesoscale and microscale organization of clouds and precipitation in midlatitude cyclones. VIII: A model for the “seeder-feeder” process in warm-frontal rainbands. J. Atmos. Sci, 40 , 11851206.

    • Search Google Scholar
    • Export Citation
  • Srivastava, R. C., 1987: A model of intense downdrafts driven by the melting and evaporation of precipitation. J. Atmos. Sci, 44 , 17521773.

    • Search Google Scholar
    • Export Citation
  • Straka, J. M., and J. R. Anderson, 1993: Numerical simulations of microburst-producing storms: Some results from storms observed during COHMEX. J. Atmos. Sci, 50 , 13291348.

    • Search Google Scholar
    • Export Citation
  • Straka, J. M., and E. N. Rasmussen, 1997: Toward improving microphysical parameterizations of conversion processes. J. Appl. Meteor, 36 , 896902.

    • Search Google Scholar
    • Export Citation
  • Straka, J. M., and E. N. Rasmussen, 1998: Thirty years of cloud modeling: Does the emperor wear clothes? Preprints, 19th Conf. on Severe Local Storms, Minneapolis, MN, Amer. Meteor. Soc., 342–347.

    • Search Google Scholar
    • Export Citation
  • Straka, J. M., D. S. Zrnic, and A. V. Ryzhkov, 2000: Bulk hydrometeor classification and quantification using multi-parameter radar data: Synthesis of relations. J. Appl. Meteor, 39 , 13411372.

    • Search Google Scholar
    • Export Citation
  • Tao, W-K., J. Simpson, and M. McCumber, 1989: Ice-water saturation adjustment. Mon. Wea. Rev, 117 , 231235.

  • Tao, W-K., J. R. Scala, B. Ferrier, and J. Simpson, 1995: The effect of melting processes on the development of a tropical and a midlatitude squall line. J. Atmos. Sci, 52 , 19341948.

    • Search Google Scholar
    • Export Citation
  • Tremback, C. J., J. Powell, W. R. Cotton, and R. A. Pielke, 1987: The forward-in-time upstream advection scheme: Extension to higher orders. Mon. Wea. Rev, 115 , 540555.

    • Search Google Scholar
    • Export Citation
  • Tripoli, G. J., 1992: A nonhydrostatic mesoscale model designed to simulate scale interaction. Mon. Wea. Rev, 120 , 13421359.

  • Tripoli, G. J., and W. R. Cotton, 1980: Numerical investigation of several factors contributing to the observed variable intensity of deep convection over South Florida. J. Appl. Meteor, 19 , 10371063.

    • Search Google Scholar
    • Export Citation
  • Tripoli, G. J., and W. R. Cotton, 1982: Colorado State University three-dimensional cloud/mesoscale model—1982. Part 1: General theoretical framework and sensitivity experiments. J. Rech. Atmos, 16 , 185220.

    • Search Google Scholar
    • Export Citation
  • Weisman, M. L., and J. B. Klemp, 1982: The dependence of numerically simulated convective storms on vertical wind shear and buoyancy. Mon. Wea. Rev, 110 , 504520.

    • Search Google Scholar
    • Export Citation
  • Weisman, M. L., and J. B. Klemp, 1984: The structure and classification of numerically simulated convective storms in directionally varying wind shears. Mon. Wea. Rev, 112 , 24792498.

    • Search Google Scholar
    • Export Citation
  • Wicker, L. J., and R. B. Wilhelmson, 1995: Simulation and analysis of tornado development and decay within a three-dimensional supercell thunderstorm. J. Atmos. Sci, 52 , 26752703.

    • Search Google Scholar
    • Export Citation
  • Wilhelmson, R. B., and C-S. Chen, 1982: A simulation of the development of successive cells along a cold outflow boundary. J. Atmos. Sci, 39 , 14661483.

    • Search Google Scholar
    • Export Citation
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