Correction of Dual-PRF Doppler Velocity Outliers in the Presence of Aliasing

Journal Article · Tue Jul 18 00:00:00 EDT 2017 · Journal of Atmospheric and Oceanic Technology

DOI:https://doi.org/10.1175/JTECH-D-16-0065.1· OSTI ID:1371614

Altube, Patricia ^[1]; Bech, Joan ^[2]; Argemí, Oriol ^[3]; Rigo, Tomeu ^[3]; Pineda, Nicolau ^[3]; Collis, Scott ^[4]; Helmus, Jonathan ^[4]

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1. Meteorological Service of Catalonia, and Department of Astronomy and Meteorology, University of Barcelona, Barcelona, Spain
2. Department of Astronomy and Meteorology, University of Barcelona, Barcelona, Spain
3. Meteorological Service of Catalonia, Barcelona, Spain
4. Environmental Science Division, Argonne National Laboratory, Argonne, Illinois

Abstract In Doppler weather radars, the presence of unfolding errors or outliers is a well-known quality issue for radial velocity fields estimated using the dual–pulse repetition frequency (PRF) technique. Postprocessing methods have been developed to correct dual-PRF outliers, but these need prior application of a dealiasing algorithm for an adequate correction. This paper presents an alternative procedure based on circular statistics that corrects dual-PRF errors in the presence of extended Nyquist aliasing. The correction potential of the proposed method is quantitatively tested by means of velocity field simulations and is exemplified in the application to real cases, including severe storm events. The comparison with two other existing correction methods indicates an improved performance in the correction of clustered outliers. The technique proposed is well suited for real-time applications requiring high-quality Doppler radar velocity fields, such as wind shear and mesocyclone detection algorithms, or assimilation in numerical weather prediction models.

• Research Organization: Argonne National Lab. (ANL), Argonne, IL (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Biological and Environmental Research (BER)
• Grant/Contract Number: AC02-06CH11357
• OSTI ID: 1371614
• Alternate ID(s): OSTI ID: 1394821
• Journal Information: Journal of Atmospheric and Oceanic Technology, Journal Name: Journal of Atmospheric and Oceanic Technology Vol. 34 Journal Issue: 7; ISSN 0739-0572
• Publisher: American Meteorological Society
• Country of Publication: United States
• Language: English

Related Subjects

58 GEOSCIENCES
wind
data quality control
radars/radar observations
remote sensing
filtering techniques
statistical techniques