Analysis of 10.7-μm Brightness Temperatures of a Simulated Thunderstorm with Two-Moment Microphysics

Lewis D. Grasso Cooperative Institute for Research in the Atmosphere, Fort Collins, Colorado

Search for other papers by Lewis D. Grasso in
Current site
Google Scholar
PubMed
Close
and
Thomas J. Greenwald Cooperative Institute for Research in the Atmosphere, Fort Collins, Colorado

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

Abstract

A cloud-resolving model was used in conjunction with a radiative transfer (RT) modeling system to study 10.7-μm brightness temperatures computed for a simulated thunderstorm. A two-moment microphysical scheme was used that included seven hydrometeor types: pristine ice, snow, aggregates, graupel, hail, rain, and cloud water. Also, five different habits were modeled for pristine ice and snow. Hydrometeor optical properties were determined from an extended anomalous diffraction theory approach. Brightness temperatures were computed using a delta-Eddington two-stream model.

Results indicate that the enhanced “V,” a feature sometimes seen in satellite infrared observations, may be formed through an interaction between the overshooting dome and the upstream flanking region of high pressure. This idea is contrary to one in which the overshooting dome is viewed as an obstacle to the environmental flow. As expected, the radiative effects of pristine ice particles within the anvil largely determined the brightness temperature field. Although brightness temperatures were found to be insensitive to microphysical characteristics of moderate to thick portions of the anvil, a strong relationship did exist with column-integrated pristine ice mass for cloud optical depths below about 5. Precipitation-sized hydrometeors and surface precipitation rate, on the other hand, failed to exhibit any meaningful relationship with the cloud-top brightness temperature. The combined mesoscale model and RT modeling system used in this study may also have utility in satellite product development prior to launch of a satellite and in satellite data assimilation.

Corresponding author address: Dr. Lewis D. Grasso, NOAA/NESDIS/RAMMT CIRA, Colorado State University, West Laporte Avenue, Fort Collins, CO 80523. Email: grasso@genesis.cira.colostate.edu

Abstract

A cloud-resolving model was used in conjunction with a radiative transfer (RT) modeling system to study 10.7-μm brightness temperatures computed for a simulated thunderstorm. A two-moment microphysical scheme was used that included seven hydrometeor types: pristine ice, snow, aggregates, graupel, hail, rain, and cloud water. Also, five different habits were modeled for pristine ice and snow. Hydrometeor optical properties were determined from an extended anomalous diffraction theory approach. Brightness temperatures were computed using a delta-Eddington two-stream model.

Results indicate that the enhanced “V,” a feature sometimes seen in satellite infrared observations, may be formed through an interaction between the overshooting dome and the upstream flanking region of high pressure. This idea is contrary to one in which the overshooting dome is viewed as an obstacle to the environmental flow. As expected, the radiative effects of pristine ice particles within the anvil largely determined the brightness temperature field. Although brightness temperatures were found to be insensitive to microphysical characteristics of moderate to thick portions of the anvil, a strong relationship did exist with column-integrated pristine ice mass for cloud optical depths below about 5. Precipitation-sized hydrometeors and surface precipitation rate, on the other hand, failed to exhibit any meaningful relationship with the cloud-top brightness temperature. The combined mesoscale model and RT modeling system used in this study may also have utility in satellite product development prior to launch of a satellite and in satellite data assimilation.

Corresponding author address: Dr. Lewis D. Grasso, NOAA/NESDIS/RAMMT CIRA, Colorado State University, West Laporte Avenue, Fort Collins, CO 80523. Email: grasso@genesis.cira.colostate.edu

Save
  • Adler, R. F., and D. D. Fenn, 1979: Thunderstorm intensity as determined from satellite data. J. Appl. Meteor., 18 , 502517.

  • Adler, R. F., M. J. Markus, D. D. Fenn, G. Szejwach, and W. E. Shenk, 1983: Thunderstorm top structure observed by aircraft overflights with an infrared radiometer. J. Climate Appl. Meteor., 22 , 579593.

    • Search Google Scholar
    • Export Citation
  • Arakawa, A., and V. Lamb, 1981: A potential enstrophy and energy conserving scheme for the shallow water equations. Mon. Wea. Rev., 109 , 1836.

    • Search Google Scholar
    • Export Citation
  • Chevallier, F., and G. Kelly, 2002: Model clouds as seen from space: Comparison with geostationary imagery in the 11-μm window channel. Mon. Wea. Rev., 130 , 712722.

    • Search Google Scholar
    • Export Citation
  • Chevallier, F., P. Bauer, G. Kelly, C. Jakob, and T. McNally, 2001: Model clouds over oceans as seen from space: Comparison with HIRS/2 and MSU radiances. J. Climate, 14 , 42164229.

    • Search Google Scholar
    • Export Citation
  • Deeter, M., and K. F. Evans, 1998: A hybrid Eddington–single scatter radiative transfer model for computing radiances from thermally emitting atmospheres. J. Quant. Spectrosc. Radiat. Transfer, 60 , 635648.

    • Search Google Scholar
    • Export Citation
  • Downing, H. D., and D. Williams, 1975: Optical constants of water in the infrared. J. Geophys. Res., 80 , 16561661.

  • Evans, K. F., 1998: The spherical harmonics discrete ordinate method for three-dimensional atmospheric radiation transfer. J. Atmos. Sci., 55 , 429446.

    • Search Google Scholar
    • Export Citation
  • Grasso, L. D., 2000: The dissipation of a left moving cell in a severe storm environment. Mon. Wea. Rev., 128 , 27972815.

  • Greenwald, T. J., R. Hertenstein, and T. Vukicevic, 2002: An all-weather observational operator for radiance data assimilation with mesoscale forecast models. Mon. Wea. Rev., 130 , 18821897.

    • Search Google Scholar
    • Export Citation
  • Heymsfield, G. M., and R. H. Blackmer, 1988: Satellite-observed characteristics of Midwest severe thunderstorm anvils. Mon. Wea. Rev., 116 , 22002224.

    • Search Google Scholar
    • Export Citation
  • Huffman, G. J., and Coauthors, 1997: The Global Precipitation Climatology Project (GPCP) combined precipitation dataset. Bull. Amer. Meteor. Soc., 78 , 520.

    • Search Google Scholar
    • Export Citation
  • 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
  • Lilly, D. K., 1962: On the numerical simulation of buoyant convection. Tellus, 14 , 148172.

  • Liou, K., 1980: An Introduction to Atmospheric Radiation. Academic Press, 392 pp.

  • McCann, D. W., 1983: The enhanced-V: A satellite observable severe storm signature. Mon. Wea. Rev., 111 , 887894.

  • McMillin, L. M., L. J. Crone, M. D. Goldberg, and T. J. Kleespies, 1995a: Atmospheric transmittance of an absorbing gas, 4. OPTRAN: A computationally fast and accurate transmittance model for absorbing gases with fixed and variable mixing ratios at variable viewing angles. Appl. Opt., 34 , 62696274.

    • Search Google Scholar
    • Export Citation
  • McMillin, L. M., L. J. Crone, and T. J. Kleespies, 1995b: Atmospheric transmittance of an absorbing gas, 5. Improvements to the OPTRAN approach. Appl. Opt., 34 , 83968399.

    • Search Google Scholar
    • Export Citation
  • Meyers, M. P., R. L. Walko, J. Y. Harrington, and W. R. Cotton, 1997: New RAMS cloud microphysics parameterization. Part II: The two-moment scheme. Atmos. Res., 45 , 339.

    • Search Google Scholar
    • Export Citation
  • Mitchell, D. L., 1996: Use of mass- and area-dimensional power laws for determining precipitation particle terminal velocities. J. Atmos. Sci., 53 , 17101723.

    • Search Google Scholar
    • Export Citation
  • Mitchell, D. L., 2000: Parameterization of the Mie extinction and absorption coefficients for water clouds. J. Atmos. Sci., 57 , 13111326.

    • Search Google Scholar
    • Export Citation
  • Mitchell, D. L., 2002: Effective diameter in radiation transfer: General definitions, applications, and limitations. J. Atmos. Sci., 59 , 23302346.

    • Search Google Scholar
    • Export Citation
  • Mitchell, D. L., and W. P. Arnott, 1994: A model predicting the evolution of ice particle size spectra and radiative properties of cirrus clouds. Part II: Dependence of absorption and extinction on ice crystal morphology. J. Atmos. Sci., 51 , 817832.

    • Search Google Scholar
    • Export Citation
  • Pielke, R. A., and Coauthors, 1992: A comprehensive meteorological modeling system—RAMS. Meteor. Atmos. Phys., 49 , 6991.

  • Smagorinsky, J., 1963: General circulation experiments with the primitive equations. Part I. The basic experiment. Mon. Wea. Rev., 91 , 99164.

    • Search Google Scholar
    • Export Citation
  • Tripoli, G. J., and W. R. Cotton, 1981: The use of ice-liquid water potential temperature as a thermodynamic variable in deep atmospheric models. Mon. Wea. Rev., 109 , 10941102.

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

    • Search Google Scholar
    • Export Citation
  • Vicente, G. A., R. A. Scofield, and W. P. Menzel, 1998: The operational GOES infrared rainfall estimation technique. Bull. Amer. Meteor. Soc., 79 , 18831898.

    • Search Google Scholar
    • Export Citation
  • Warren, S. G., 1984: Optical constants of ice from the ultraviolet to the microwave. Appl. Opt., 23 , 12061225.

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 1303 1177 57
PDF Downloads 117 54 2