A Microphysics-Scheme-Consistent Snow Optical Parameterization for the Community Radiative Transfer Model

Author:

Ren Tong1,Yang Ping123,Garrett Kevin4,Ma Yingtao45,Ding Jiachen1,Coy James1

Affiliation:

1. a Department of Atmospheric Sciences, Texas A&M University, College Station, Texas

2. b Department of Oceanography, Texas A&M University, College Station, Texas

3. c Department of Physics and Astronomy, Texas A&M University, College Station, Texas

4. d NOAA/NESDIS/Center for Satellite Applications and Research, College Park, Maryland

5. e Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado

Abstract

Abstract The satellite observational data assimilation community requires consistent hydrometer descriptions—including mass–size relation and particle size distribution—to be used in both the forecast model and observation operator. We develop a microphysics-scheme-consistent snow and graupel single-scattering property database to meet this requirement. In this database, snowflakes are modeled as a mixture of small column and large aggregated ice particles, the mixing ratios of which may be adjusted to satisfy a given mass–size relation. Snow single-scattering properties are computed for four different mass–size relations. Subsequently, the snow description in the Thompson microphysics scheme is used as an example to demonstrate how microphysics-scheme-consistent snow bulk optical properties are derived. The Thompson-scheme-consistent snow bulk optical properties are added to the Community Radiative Transfer Model (CRTM), version 2.4.0. With CloudSat Cloud Profiling Radar (CPR) snow and liquid precipitation retrievals as the inputs, CRTM simulations are performed over global oceans and compared with four collocated Global Precipitation Measurement (GPM) Microwave Imager (GMI) high-frequency channel observations. The CRTM simulated brightness temperatures show agreement with the GMI observed brightness temperatures in cases of light-to-moderate precipitation over extratropical and polar ice-free oceans, with root-mean-square errors of 4.3, 13.0, 1.8, and 3.3 K in the 166-GHz (vertical polarization), 166-GHz (horizontal polarization), 183 ± 3-GHz (vertical polarization), and 183 ± 7-GHz (vertical polarization) channels, respectively. The result demonstrates the potential of using the newly developed microphysics-scheme-consistent snow optical parameterization in data assimilation applications.

Funder

National Oceanic and Atmospheric Administration

Publisher

American Meteorological Society

Subject

Atmospheric Science

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