Evaluation of Anomalous Propagation Echo Detection in WSR-88D Data: A Large Sample Case Study

Witold F. Krajewski Iowa Institute of Hydraulic Research, The University of Iowa, Iowa City, Iowa

Search for other papers by Witold F. Krajewski in
Current site
Google Scholar
PubMed
Close
and
Bertrand Vignal Iowa Institute of Hydraulic Research, The University of Iowa, Iowa City, Iowa

Search for other papers by Bertrand Vignal in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

A method of detecting anomalous propagation echo in volume scan radar reflectivity data is evaluated. The method is based on a neural network approach and is suitable for operational implementation. It performs a classification of the base scan data on a pixel-by-pixel basis into two classes: rain and no rain. The results of applying the method to a large sample of Weather Surveillance Radar-1988 Doppler (WSR-88D) level II archive data are described. The data consist of over 10 000 volume scans collected in 1994 and 1995 by the Tulsa, Oklahoma, WSR-88D. The evaluation includes analyses based on radar data only and on various comparisons of radar and rain gauge data. The rain gauge data are from the Oklahoma Mesonet. The results clearly show the effectiveness of the procedure as indicated by reduced bias in rainfall accumulation and improved behavior in other statistics.

Corresponding author address: Witold F. Krajewski, Iowa Institute of Hydraulic Research, The University of Iowa, Iowa City, IA 52242.

Email: witold-krajewski@uiowa.edu

Abstract

A method of detecting anomalous propagation echo in volume scan radar reflectivity data is evaluated. The method is based on a neural network approach and is suitable for operational implementation. It performs a classification of the base scan data on a pixel-by-pixel basis into two classes: rain and no rain. The results of applying the method to a large sample of Weather Surveillance Radar-1988 Doppler (WSR-88D) level II archive data are described. The data consist of over 10 000 volume scans collected in 1994 and 1995 by the Tulsa, Oklahoma, WSR-88D. The evaluation includes analyses based on radar data only and on various comparisons of radar and rain gauge data. The rain gauge data are from the Oklahoma Mesonet. The results clearly show the effectiveness of the procedure as indicated by reduced bias in rainfall accumulation and improved behavior in other statistics.

Corresponding author address: Witold F. Krajewski, Iowa Institute of Hydraulic Research, The University of Iowa, Iowa City, IA 52242.

Email: witold-krajewski@uiowa.edu

Save
  • Anagnostou, E. N., and W. F. Krajewski, 1999: Real-time radar rainfall estimation. Part 1: Algorithm formulation. J. Atmos. Oceanic Technol.,16, 189–197.

    • Crossref
    • Export Citation
  • Brock, F. V., K. C. Crawford, R. L. Elliot, G. W. Cuperus, S. J. Stadler, H. L. Johnson, and M. D. Eilts, 1995: The Oklahoma Mesonet—A technical overview. J. Atmos. Oceanic Technol.,12, 5–19.

    • Crossref
    • Export Citation
  • Ciach, G. J., W. F. Krajewski, E. N. Anagnostou, J. R. McCollum, M. L. Baeck, J. A. Smith, and A. Kruger, 1997: Radar rainfall estimation for ground validation studies of the Tropical Rainfall Measuring Mission. J. Appl. Meteor.,36, 735–747.

    • Crossref
    • Export Citation
  • Grecu, M., and W. F. Krajewski, 2000: An efficient methodology for detection of anomalous propagation echoes in radar reflectivity data using neural networks. J. Atmos. Oceanic Technol.,17, 121–129.

    • Crossref
    • Export Citation
  • Houze, R. A., Jr., B. F. Smull, and P. Dodge, 1990: Mesoscale organization of springtime rainstorms in Oklahoma. Mon. Wea. Rev.,118, 613–654.

    • Crossref
    • Export Citation
  • Klazura, G. E., and D. A. Imy, 1993: A description of the initial set of analysis products available from the NEXRAD WSR-88D system. Bull. Amer. Meteor. Soc.,74, 1293–1311.

    • Crossref
    • Export Citation
  • Kruger, A., and W. F. Krajewski, 1997: Efficient storage of weather radar data. Software Practice Experience,27, 623–635.

    • Crossref
    • Export Citation
  • Moszkowicz, S., G. J. Ciach, and W. F. Krajewski, 1994: Statistical detection of anomalous propagation in radar reflectivity patterns. J. Atmos. Oceanic Technol.,11, 1026–1034.

    • Crossref
    • Export Citation
  • Vignal, B., H. Andrieu, and J. D. Creutin, 1999: Identification of vertical profiles of reflectivity from voluminal radar data. J. Appl. Meteor.,38, 1214–1228.

    • Crossref
    • Export Citation
  • Zrnic, D. S., and A. V. Ryzhkov, 1999: Polarimetry for weather surveillance radars. Bull. Amer. Meteor. Soc.,80, 389–406.

    • Crossref
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 321 49 8
PDF Downloads 219 30 6