A statistical approach to mitigating persistent clutter in radar reflectivity data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 5, Issue 2, 2012, Pages 652-662

  Lakshmanan, Valliappa ^a   Zhang, Jian ^a   Hondl, Kurt ^a   Langston, Carrie ^a  

^a UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

Clutter; meteorological radar

Indexed keywords

DATA COLLECTION; GROUND CLUTTER; PROCESSING METHOD; RADAR ECHOES; RADAR REFLECTIVITIES; STATISTICAL APPROACH; TIME-SERIES DATA;

METEOROLOGICAL RADAR; SIGNAL PROCESSING;

CLUTTER (INFORMATION THEORY);

DATA ACQUISITION; METEOROLOGY; RADAR; SIGNAL PROCESSING; STATISTICAL ANALYSIS; TIME SERIES;

EID: 84861748340     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2011.2181828     Document Type: Article

References (23)

1. A. Siggia and J. R. Passarelli, "Gaussian model adaptive processing (GMAP) for improved ground clutter cancellation and moment calculation," in Proc. 3rd European Conf. Radar in Meteorology and Hydrology, Visby, Gotland, Sweden, 2004, pp. 67-73, ERAD.
2. S. Torres and D. Zrnic, "Ground clutter canceling with a regression filter," J. Appl. Meteorol., vol. 16, pp. 1364-1372, 1999. (Pubitemid 30081262)
3. R. Fulton, D. Breidenback, D. Miller, and T. O'Bannon, "The WSR-88D rainfall algorithm," Weather and Forecasting, vol. 13, pp. 377-395, 1998. (Pubitemid 29120690)
4. Doppler Radar Meterological Observations: WSR-88D Products and Algorithms. Federal Meteorological Handbook No. 11 Part C, FMH11C, Washington, DC, Tech. Rep. FCM-H11C-2006, 2006
5. [Online]. Available: http://www.ofcm.gov/fmh11/fmh11.htm
6. J. Hubbert, M. Dixon, and C. Kessinger, "Real time clutter identification and mitigation for NEXRAD," in 23rd Int. Conf. Inter. Inf. Proc. Sys. (IIPS) for Meteor., Ocean., and Hydr., San Antonio, TX, 2007, p. 5B.6, Amer. Meteor. Soc..
7. C. Kessinger, S. Ellis, and J. Van Andel, "The radar echo classifier: A fuzzy logic algorithm for the WSR-88D," in 3rd Conf. Artificial Applications to the Environmental Sciences, Long Beach, CA, Feb. 2003, Amer. Meteor. Soc..
8. M. Steiner and J. Smith, "Use of three-dimensional reflectivity structure for automated detection and removal of non-precipitating echoes in radar data," J. Atmos. Ocean. Tech., vol. 19, no. 5, pp. 673-686, 2002. (Pubitemid 34667784)
9. M. Grecu and W. Krajewski, "An efficient methodology for detection of anomalous propagation echoes in radar reflectivity data using neural networks," J. Atmos. Ocean. Tech., vol. 17, pp. 121-129, Feb. 2000. (Pubitemid 30244818)
10. V. Lakshmanan, A. Fritz, T. Smith, K. Hondl, and G. J. Stumpf, "An automated technique to quality control radar reflectivity data," J. Appl. Meteorol., vol. 46, pp. 288-305, Mar. 2007. (Pubitemid 46672196)
11. J. Zhang, K. Howard, and J. J. Gourley, "Constructing three-dimensional multiple-radar reflectivity mosaics: Examples of convective storms and stratiform rain echoes," J. Atmos. Ocean. Tech., vol. 22, pp. 30-42, Jan. 2005. (Pubitemid 40294785)
12. V. Lakshmanan, T. Smith, K.Hondl, G. J. Stumpf, and A.Witt, "Arealtime, three dimensional, rapidly updating, heterogeneous radar merger technique for reflectivity, velocity and derived products," Weather and Forecasting, vol. 21, no. 5, pp. 802-823, 2006. (Pubitemid 44660379)
13. V. Lakshmanan, J. Zhang, and K. Howard, "A technique to censor biological echoes in radar reflectivity data," J. Appl. Meteorol., vol. 49, pp. 435-462, 3, 2010.
14. M. Sezgin and B. Sankur, "Survey over image thresholding techniques and quantitative performance evaluation," J. Electron. Imag., vol. 13, no. 1, pp. 146-165, 2003.
15. N. Otsu, "A threshold selection method from gray-level histograms," IEEE Trans. Syst., Man, Cybern., vol. 9, pp. 62-66, 1979. (Pubitemid 9413341)
16. R. Delanoy and S. W. Troxel, "Machine intelligent gust front detection," Lincoln Lab. J., vol. 6, pp. 187-212, 1993.
17. J. Johnson, P.MacKeen, A.Witt, E. Mitchell, G. Stumpf,M. Eilts, and K. Thomas, "The storm cell identification and tracking algorithm: An enhanced WSR-88D algorithm,"Weather and Forecasting, vol. 13, pp. 263-276, June 1998. (Pubitemid 29120682)
18. V. Lakshmanan, "A separable filter for directional smoothing," IEEE Geosci. Remote Sens. Lett., vol. 1, pp. 192-195, 2004.
19. D. Charalampidis, T. Kasparis, and W. Jones, "Removal of nonprecipitation echoes in weather radar using multifractals and intensity," IEEE Trans. Geosci. Remote Sens., vol. 40, pp. 1121-1132, 2002.
20. E. Anagnostou, "Aconvective/stratiformprecipitation classification algorithm for volume scanning weather radar observations," Meteorol. Appl., vol. 11, pp. 291-300, 2004. (Pubitemid 40280820)
21. J. Blum and J. Rosenblat, Probability and Statistics. Philadelphia, PA: W. B. Saunders, 1972.
22. J. Zhang, K. Howard, S. Vasiloff, C. Langston, B. Kaney, A. Arthur, S. Van Cooten, K. Kelleher, D. Kitzmiller, F. Ding, D. Seo, M. Mullusky, E. Wells, T. Schneider, and C. Dempsey, "National mosaic and multisensor QPE (NMQ) system: Description, results and future plans," in 34th Conf. RadarMeterology,Williamsburg, VA, 2009, p. 7A.1, Amer. Meteor. Soc..
23. V. Lakshmanan, T. Smith, G. J. Stumpf, and K. Hondl, "The warning decision support system-integrated information," Weather and Forecasting, vol. 22, no. 3, pp. 596-612, 2007. (Pubitemid 47086706)