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Aliasing in Micro Rain Radar data due to strong vertical winds
Author(s) -
Tridon F.,
Van Baelen J.,
Pointin Y.
Publication year - 2011
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2010gl046018
Subject(s) - aliasing , doppler effect , remote sensing , radar , environmental science , doppler radar , spectral line , geology , meteorology , geodesy , computer science , physics , filter (signal processing) , telecommunications , astronomy , computer vision
Vertically pointing Micro Rain Radars (MRRs) provide profiles of drop size distributions (DSDs) from the measured Doppler reflectivity spectra. However, in the presence of strong vertical winds, the measured spectra can suffer from aliasing errors. These errors can considerably affect the derived DSD, and hence, the retrieved rain parameters. In this work, we show that such aliasing can be automatically detected and that this detection can be used at our benefit to identify strong vertical winds and eliminate incorrect retrievals. Likewise, we show that when this aliasing is adequately corrected, the retrieved DSD is then fit for further parameter retrievals.