DocumentCode :
31379
Title :
Scattering Computations of Snow Aggregates From Simple Geometrical Particle Models
Author :
Liang Liao ; Meneghini, Robert ; Nowell, H.K. ; Guosheng Liu
Author_Institution :
Goddard Earth Sci. Technol. & Res., Morgan State Univ., Baltimore, MD, USA
Volume :
6
Issue :
3
fYear :
2013
fDate :
Jun-13
Firstpage :
1409
Lastpage :
1417
Abstract :
Scattering results from snowflakes generated from aggregates comprised of 6-branch bullet rosette crystals are compared with those obtained from spherical or spheroidal ice-air mixed phase particles. The scattering parameters of the aggregates are computed by the discrete dipole approximation (DDA) numerical approach at frequencies from 10.65 to 183.31 GHz (where the particular frequencies match those of the Global Precipitation Measurement (GPM) Microwave Imager (GMI) and Dual-frequency Precipitation Radar (DPR)). Two mass density models are used to specify the snow density of the simple geometrical particles. In one model, the density is prescribed as a function of the maximum dimension of the aggregates (variable snow density model); in the other the density is independent of particle size (fixed snow density model). Comparisons of the results indicate that the scattering parameters of large complex aggregates differ significantly from those obtained from the equivalent-mass spherical/spheroidal-shaped particles when variable snow density is assumed. In contrast to the variable snow density model, the scattering properties of the aggregates are fairly well reproduced by the fixed snow density model. Although the results from a fixed snow densities between 0.2 and 0.3 g/cm3 reveal good overall agreement with those from the aggregates, the value of 0.2 g/cm3 yields the best agreement for the frequencies less than or equal to 35.6 GHz while the model results with a density set to 0.3 g/cm3 show the best match with the aggregates at frequencies higher than 35.6 GHz. Moreover, scattering parameters of the randomly-oriented spheroidal ice-air mixtures tend to agree better with those from the aggregates than do spherical snow particles. It is anticipated that these findings will have direct implication for the development of the GPM algorithms for estimates of precipitation rate.
Keywords :
approximation theory; mixing; particle size; snow; 6-branch bullet rosette crystals; GPM algorithms; complex snow aggregates; discrete dipole approximation; dual-frequency precipitation radar; global precipitation measurement microwave imager; mass density models; numerical approach; particular frequencies; precipitation rate; randomly-oriented spheroidal ice-air mixtures; scattering computations; scattering parameters; simple geometrical particle model; snow density model; snowflakes; spherical snow particles; spheroidal ice-air mixed phase particles; Radar; radiometer; scattering; snow;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2013.2255262
Filename :
6506968
Link To Document :
بازگشت