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Spaceborne doppler radar measurements of rainfall : correction of errors induced by pointing uncertainties

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dc.contributor.author Tanelli, Simone
dc.contributor.author Im, Eastwood
dc.contributor.author Kobayashi, Satoru
dc.contributor.author Mascelloni, Roberto
dc.contributor.author Facheris, Luca
dc.date.accessioned 2008-06-16T20:54:15Z
dc.date.available 2008-06-16T20:54:15Z
dc.date.issued 2005-03
dc.identifier.citation Journal of Atmospheric and Oceanic Technology, Vol. 22, Iss. 11, doi.org/10.1175/JTECH1797.1 en_US
dc.identifier.uri http://hdl.handle.net/2014/40839
dc.description.abstract In this paper a sea surface radar echo spectral analysis technique to correct for the rainfall velocity error caused by radar-pointing uncertainty is presented. The correction procedure is quite straightforward when the radar is observing a homogeneous rainfall field. When nonuniform beam filling (NUBF) occurs and attenuating frequencies are used, however, additional steps are necessary in order to correctly estimate the antenna-pointing direction. This new technique relies on the application of the combined frequency-time (CFT) algorithm to correct for uneven attenuation effects on the observed sea surface Doppler spectrum. The performance of this correction technique was evaluated by a Monte Carlo simulation of the Doppler precipitation radar backscatter from high-resolution 3D rain fields (either generated by a cloud resolving numerical model or retrieved from airborne radar measurements). The results show that the antenna-pointing-induced error can, indeed, be reduced by the proposed technique in order to achieve 1 m s(-1) accuracy on rainfall vertical velocity estimates. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher American Meteorological Society en_US
dc.subject velocity en_US
dc.subject precipitation en_US
dc.subject sea surface en_US
dc.subject remote sensing en_US
dc.subject radar en_US
dc.title Spaceborne doppler radar measurements of rainfall : correction of errors induced by pointing uncertainties en_US
dc.type Article en_US


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