DocumentCode :
1137057
Title :
A dual-frequency rain profiling method without the use of a surface reference technique
Author :
Mardiana, Redy ; Iguchi, Toshio ; Takahashi, Nobuhiro
Author_Institution :
Commun. Res. Lab., Tokyo, Japan
Volume :
42
Issue :
10
fYear :
2004
Firstpage :
2214
Lastpage :
2225
Abstract :
A method to estimate the drop size distribution (DSD) parameters for dual-frequency radar observations that does not rely on the surface echoes is proposed. The method adjusts the estimates of attenuation factor at the surface iteratively until these estimates retrieve the reflectivity factors that are equal to the original measured reflectivity factors. In this iteration method, the backward-recursion equations are used as a main routine to calculate the DSD parameters for each range bin. The estimates of attenuation factor at the surface are obtained from these DSD parameters. The method is applied to the airborne radar data from the CaPE experiment in 1991. The comparison between the results derived from the surface reference technique and those derived from the proposed method is presented and discussed.
Keywords :
airborne radar; atmospheric techniques; geophysical signal processing; meteorological radar; rain; remote sensing by radar; spaceborne radar; 13.6 GHz; 35.55 GHz; AD 1991; CaPE experiment; Global Precipitation Measurement; Ka-band radar; Ku-band radar; airborne radar data; airborne remote sensing; attenuation factor; backward-recursion equations; drop size distribution parameters; dual-frequency radar observations; dual-frequency rain profiling method; iteration method; precipitation measurement; radar meteorology; reflectivity factors; spaceborne remote sensing; surface echoes; surface reference technique; Attenuation measurement; Frequency estimation; Frequency measurement; Meteorological radar; Radar measurements; Radar remote sensing; Radar scattering; Rain; Reflectivity; Spaceborne radar; Airborne and spaceborne remote sensing; precipitation measurement; radar meteorology;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2004.834647
Filename :
1344173
Link To Document :
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