DocumentCode
1121974
Title
An airborne 95 GHz dual-polarized radar for cloud studies
Author
Pazmany, Andrew L. ; McIntosh, Robert E. ; Kelly, Robert D. ; Vali, Gabor
Author_Institution
Microwave Remote Sensing Lab., Massachusetts Univ., Amherst, MA, USA
Volume
32
Issue
4
fYear
1994
fDate
7/1/1994 12:00:00 AM
Firstpage
731
Lastpage
739
Abstract
A 95 GHz dual-polarization radar system was developed and flown on the University of Wyoming King Air research aircraft, from which it measured reflectivity, depolarization, and Doppler-derived velocity mean and standard deviation of a variety of clouds. This paper describes the radar and a data acquisition system that uses commercially available digitizers, signal processors, and signal generators. The authors also describe the tradeoffs between spatial resolution and ability to estimate reflectivity and velocity. This paper presents the first known airborne measurements of clouds made at 95 GHz; these are thought to be the most highly resolved millimeter-wave cloud images made to date. Depolarization, measured in terms of the linear depolarization ratio (LDR), was especially high in the melting band and in regions containing pristine ice crystals. These measurements demonstrate the advantages that high-spatial-resolution airborne millimeter-wave radars offer for the study of cloud microphysical properties
Keywords
Doppler effect; aircraft instrumentation; atmospheric measuring apparatus; clouds; polarimetry; remote sensing; remote sensing by radar; 95 GHz; Doppler radar; EHF; airborne remote sensing; aircraft; atmosphere; cloud; data acquisition system; depolarization,; dual polarization; meteorology; microphysical; microphysics; millimeter-wave cloud image; millimetric radar; mm wave; polarimetry; reflectivity; signal processor; spatial resolution; Airborne radar; Aircraft; Clouds; Measurement standards; Millimeter wave measurements; Millimeter wave radar; Radar measurements; Reflectivity; Spatial resolution; Velocity measurement;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.298002
Filename
298002
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