Influence of microphysical cloud parameterizations on microwave brightness temperatures

The microphysical parameterization of clouds and rain cells plays a central role in atmospheric forward radiative transfer models used in calculating microwave brightness temperatures. The absorption and scattering properties of a hydrometeor-laden atmosphere are governed by particle phase, size distribution, aggregate density, shape, and dielectric constant. This study investigates the sensitivity of brightness temperatures with respect to the microphysical cloud parameterization. Calculated wideband (6-410 GHz) brightness temperatures were studied for four evolutionary stages of an oceanic convective storm using a rive-phase hydrometeor model in a planar-stratified scattering-based radiative transfer model. Five other microphysical cloud parameterizations were compared to the baseline calculations to evaluate brightness temperature sensitivity to gross changes in the hydrometeor size distributions and the ice-air-water ratios in the frozen or partly frozen phase. The comparison shows that enlarging the raindrop size or adding water to the partly frozen hydrometeor mix warms brightness temperatures by as much as 55 K at 6 GHz. The cooling signature caused by ice scattering intensifies with increasing ice concentrations and at higher frequencies. An additional comparison to measured Convection and Moisture Experiment (CAMEX-3) brightness temperatures shows that in general all but two parameterizations produce calculated T/sub B/s that fall within the CAMEX-3 observed minima and maxima.

[1]  B. Geerts,et al.  Hurricane Georges's Landfall in the Dominican Republic: Detailed Airborne Doppler Radar Imagery , 2000 .

[2]  Paul Racette,et al.  An Airborne Millimeter-Wave Imaging Radiometer for Cloud, Precipitation, and Atmospheric Water Vapor Studies , 1996 .

[3]  Albin J. Gasiewski,et al.  Nonlinear statistical retrievals of ice content and rain rate from passive microwave observations of a simulated convective storm , 1995, IEEE Trans. Geosci. Remote. Sens..

[4]  Joanne Simpson,et al.  A Double-Moment Multiple-Phase Four-Class Bulk Ice Scheme. Part II: Simulations of Convective Storms in Different Large-Scale Environments and Comparisons with other Bulk Parameterizations , 1995 .

[5]  Eric A. Smith,et al.  High-resolution imaging of rain systems with the advanced microwave precipitation radiometer , 1994 .

[6]  Peter Bauer,et al.  Rainfall, total water, ice water, and water vapor over sea from polarized microwave simulations and Special Sensor Microwave/Imager data , 1993 .

[7]  Eric A. Smith,et al.  Foundations for statistical-physical precipitation retrieval from passive microwave satellite measurements. I: Brightness-temperature properties of a time-dependent cloud-radiation model , 1992 .

[8]  Robert F. Adler,et al.  Microwave simulations of a tropical rainfall system with a three-dimensional cloud model , 1991 .

[9]  Joanne Simpson,et al.  Comparison of Ice-Phase Microphysical Parameterization Schemes Using Numerical Simulations of Tropical Convection , 1991 .

[10]  A. J. Gasiewski,et al.  Numerical modeling of passive microwave O2 observations over precipitation , 1990 .

[11]  A. J. Gasiewski,et al.  Statistical precipitation cell parameter estimation using passive 118-GHz O2 observations , 1989 .

[12]  A. Shivola Self-consistency aspects of dielectric mixing theories , 1989 .

[13]  W. Tao,et al.  Modeling Study of a Tropical Squall-Type Convective Line , 1989 .

[14]  S. O'Brien,et al.  Scattering by irregular inhomogeneous particles via the digitized Green's function algorithm. , 1988, Applied optics.

[15]  P. Rosenkranz,et al.  Interference coefficients for overlapping oxygen lines in air , 1988 .

[16]  Peter V. Hobbs,et al.  The Mesoscale and Microscale Structure and Organization of Clouds and Precipitation in Midlatitude Cyclones. XII: A Diagnostic Modeling Study of Precipitation Development in Narrow Cold-Frontal Rainbands , 1984 .

[17]  S. Warren,et al.  Optical constants of ice from the ultraviolet to the microwave. , 1984, Applied optics.

[18]  T. Wilheit,et al.  Microwave Radiometric Observations Near 19.35, 92 and 183 GHz of Precipitation in Tropical Storm Cora , 1982 .

[19]  C. Bohren,et al.  An introduction to atmospheric radiation , 1981 .

[20]  Craig F. Bohren,et al.  Radar Backscattering by Inhomogeneous Precipitation Particles , 1980 .

[21]  W. Wiscombe Improved Mie scattering algorithms. , 1980, Applied optics.

[22]  Roger Davies,et al.  Thermal microwave radiances from horizontally finite clouds of hydrometeors , 1978 .

[23]  Thomas T. Wilheit,et al.  A satellite technique for quantitatively mapping rainfall rates over the oceans , 1977 .

[24]  R. C. Srivastava,et al.  Snow Size Spectra and Radar Reflectivity , 1970 .

[25]  J. Lane,et al.  Dielectric dispersion in pure polar liquids at very high radio-frequencies I. Measurements on water, methyl and ethyl alcohols , 1952, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[26]  J. Marshall,et al.  THE DISTRIBUTION OF RAINDROPS WITH SIZE , 1948 .

[27]  Hiroshi Kumagai,et al.  Microphysical retrievals over stratiform rain using measurements from an airborne dual-wavelength radar-radiometer , 1997, IEEE Trans. Geosci. Remote. Sens..

[28]  Da‐Lin Zhang,et al.  Summary of a mini-workshop on cumulus parameterization for mesoscale models , 1997 .

[29]  Graeme L. Stephens,et al.  A Bayesian approach to microwave precipitation profile retrieval , 1995 .

[30]  W. Tao,et al.  Microwave and infrared simulations of an intense convective system and comparison with aircraft observations , 1995 .

[31]  Joanne Simpson,et al.  Goddard Cumulus Ensemble Model. Part I: Model Description , 1993 .

[32]  Hans J. Liebe,et al.  A Contribution to Modeling Atmospheric Millimeter-wave Properties , 1987 .

[33]  H. Landsberg Variability of the Precipitation Process in Time and Space , 1983 .

[34]  D. Deirmendjian Electromagnetic scattering on spherical polydispersions , 1969 .