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Estimation of Snow Parameters from Dual-Wavelength Airborne RadarEstimation of snow characteristics from airborne radar measurements would complement In-situ measurements. While In-situ data provide more detailed information than radar, they are limited in their space-time sampling. In the absence of significant cloud water contents, dual-wavelength radar data can be used to estimate 2 parameters of a drop size distribution if the snow density is assumed. To estimate, rather than assume, a snow density is difficult, however, and represents a major limitation in the radar retrieval. There are a number of ways that this problem can be investigated: direct comparisons with in-situ measurements, examination of the large scale characteristics of the retrievals and their comparison to cloud model outputs, use of LDR measurements, and comparisons to the theoretical results of Passarelli(1978) and others. In this paper we address the first approach and, in part, the second.
Document ID
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Liao, Liang
(Caelum Research Corp. Greenbelt, MD United States)
Meneghini, Robert
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Iguchi, Toshio
(Communications Research Lab. Tokyo, Japan)
Detwiler, Andrew
(South Dakota School of Mines and Technology Rapid City, SD United States)
Date Acquired
August 19, 2013
Publication Date
January 1, 1997
Publication Information
Publication: Laboratory for Hydrospheric Processes Research Publications
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: Radar Meteorology
Location: Austin, TX
Country: United States
Start Date: September 7, 1997
End Date: September 12, 1997
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