Using WSR-88D Polarimetric Data to Identify Bird-Contaminated Doppler Velocities
Joint Authors
Zhang, Pengfei
Jiang, Yuan
Nai, Kang
Xu, Qin
Liu, Liping
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-07
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
As an important part of Doppler velocity data quality control for radar data assimilation and other quantitative applications, an automated technique is developed to identify and remove contaminated velocities by birds, especially migrating birds.
This technique builds upon the existing hydrometeor classification algorithm (HCA) for dual-polarimetric WSR-88D radars developed at the National Severe Storms Laboratory, and it performs two steps.
In the first step, the fuzzy-logic method in the HCA is simplified and used to identify biological echoes (mainly from birds and insects).
In the second step, another simple fuzzy logic method is developed to detect bird echoes among the biological echoes identified in the first step and thus remove bird-contaminated velocities.
The membership functions used by the fuzzy logic method in the second step are extracted from normalized histograms of differential reflectivity and differential phase for birds and insects, respectively, while the normalized histograms are constructed by polarimetric data collected during the 2012 fall migrating season and sorted for bird and insects, respectively.
The performance and effectiveness of the technique are demonstrated by real-data examples.
American Psychological Association (APA)
Jiang, Yuan& Xu, Qin& Zhang, Pengfei& Nai, Kang& Liu, Liping. 2013. Using WSR-88D Polarimetric Data to Identify Bird-Contaminated Doppler Velocities. Advances in Meteorology،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-497328
Modern Language Association (MLA)
Jiang, Yuan…[et al.]. Using WSR-88D Polarimetric Data to Identify Bird-Contaminated Doppler Velocities. Advances in Meteorology No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-497328
American Medical Association (AMA)
Jiang, Yuan& Xu, Qin& Zhang, Pengfei& Nai, Kang& Liu, Liping. Using WSR-88D Polarimetric Data to Identify Bird-Contaminated Doppler Velocities. Advances in Meteorology. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-497328
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-497328