DocumentCode :
3690877
Title :
A microwave scattering model for ground-based remote sensing of snowfall and freezing rain
Author :
Seda Ermis;Krzysztof Orzel;Saibun Tjuatja;Stephen Frasier
Author_Institution :
Wave Scattering Research Center, Department of Electrical Engineering, The University of Texas at Arlington UTA Box 19016, Arlington, TX 76019-0016, USA
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
4049
Lastpage :
4052
Abstract :
A microwave backscattering model for ground-based remote sensing of precipitation is developed and used to analyze back scattering measurements from snowfall and rain type precipitation. Backscattering from entire precipitation region is calculated by solving vector radiative transfer (VRT) equations. Geophysical parameters for rain or snow are determined by considering altitude and latent range. VRT equations are solved numerically by using matrix doubling method to take into account multiple-scattering effects. Results from model analyses agree well with measured radar data.
Keywords :
"Snow","Mathematical model","Data models","Meteorological radar","Radar scattering"
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
ISSN :
2153-6996
Electronic_ISBN :
2153-7003
Type :
conf
DOI :
10.1109/IGARSS.2015.7326714
Filename :
7326714
Link To Document :
بازگشت