DocumentCode
1480355
Title
Mapping Radar Reflectivity Values of Snowfall Between Frequency Bands
Author
Leinonen, Jussi ; Moisseev, Dmitri ; Chandrasekar, V. ; Koskinen, Jarkko
Author_Institution
Finnish Meteorol. Inst., Helsinki, Finland
Volume
49
Issue
8
fYear
2011
Firstpage
3047
Lastpage
3058
Abstract
Motivated by the use of a Ku/Ka-band radar in the Global Precipitation Measurement core satellite due to launch in 2013, we have studied the use of techniques to simulate radar observations of snowfall at these bands from data at C/W-bands by using scattering simulations to derive the approximate relationships of radar observables at the C/W-bands and those at Ku/Ka-bands. In this paper, we form the cross-band relationships by simulating radar reflectivity and attenuation in snowfall. The relations can be used to simulate observations at given bands from measurements at other bands. When measurements are available at multiple frequencies, the consistency of the model and the measurements can be used as a measure of the validity of the underlying assumptions of snowflake shape and constitution, which have been an important topic in recent snowfall remote sensing research. We also present mapping functions that can be used to perform cross-band analysis of snowfall observations and examine the use of these for practical cases of combined ground- and space-based (CloudSat) radar measurements as well as airborne radar data from the 2003 Wakasa Bay experiment.
Keywords
atmospheric optics; data analysis; reflectivity; remote sensing by radar; snow; AD 2003; Wakasa Bay experiment; airborne radar data; cross-band analysis; cross-band relationship; frequency band; global precipitation measurement; ground-based radar measurement; mapping function; radar observation; radar reflectivity simulation; scattering simulation; snowfall remote sensing; snowflake constitution; snowflake shape; space-based radar measurement; Attenuation; Extraterrestrial measurements; Radar measurements; Scattering; Snow; Spaceborne radar; Radar reflectivity; snowfall; weather radar;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2011.2117432
Filename
5738680
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