ERUO: a spectral processing routine for the Micro Rain Radar PRO (MRR-PRO)

• Published in: Atmospheric Measurement Techniques
• Main Authors: Ferrone, Alfonso, Billault-Roux, Anne-Claire, Berne, Alexis
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus Publications 2022
• Subjects: article; Verlagsveröffentlichung; Antarc*; Antarctica
• Online Access: https://doi.org/10.5194/amt-15-3569-2022; https://noa.gwlb.de/receive/cop_mods_00061507; https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00060964/amt-15-3569-2022.pdf; https://amt.copernicus.org/articles/15/3569/2022/amt-15-3569-2022.pdf

The Micro Rain Radar PRO (MRR-PRO) is a K-band Doppler weather radar, using frequency-modulated continuous-wave (FMCW) signals, developed by Metek Meteorologische Messtechnik GmbH (Metek) as a 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 twofold objective. Firstly, the proposed method addresses a series of issues plaguing the radar variables, including interference lines and power drops at the extremes of the Doppler spectrum. 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 dealiasing. The performance of the algorithm has been tested against the measurements of a co-located W-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 verifying the estimation of the meteorological signal in the spectra covered by interferences.