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ERUO: a spectral processing routine for the MRR-PRO.

Authors :
Ferrone, Alfonso
Billault-Roux, Anne-Claire
Berne, Alexis
Source :
Atmospheric Measurement Techniques Discussions. 10/20/2021, p1-45. 45p.
Publication Year :
2021

Abstract

The Micro Rain Radar (MRR) PRO is a K-band Doppler weather radar, using frequency modulated continuous wave (FMCW) signals, developed by Metek Meteorologische Messtechnik GmbH (Metek) as successor to the MRR-2. Benefiting from four datasets collected during two field campaigns in Antarctica and Switzerland, we developed a processing library for snowfall measurements, named ERUO (Enhancement and Reconstruction of the spectrUm for the MRR-PRO), with a two-fold objective. Firstly, the proposed method addresses a series of issues plaguing the radar variables, which include interference lines, power drops at the extremes of the Doppler spectrum and abrupt cutoff of the transfer function. Secondly, the algorithm aims to improve the quality of the final variables, by lowering the minimum detectable equivalent attenuated reflectivity factor and extending the valid Doppler velocity range through antialiasing. The performance of the algorithm has been tested against the measurements of a co-locatedW-band Doppler radar. Information from a close-by X-Band Doppler dual-polarization radar has been used to exclude unsuitable radar volumes from the comparison. Particular attention has been dedicated to verify the estimation of the meteorological signal in the spectra covered by interferences. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18678610
Database :
Academic Search Index
Journal :
Atmospheric Measurement Techniques Discussions
Publication Type :
Academic Journal
Accession number :
153193653
Full Text :
https://doi.org/10.5194/amt-2021-294