Calibration of the WSR-88D precipitation processing subsystem

Weather and Forecasting

Volumn 13, Issue 2, 1998, Pages 396-406

  Anagnostou, Emmanouil N ^a,b   Krajewski, Witold F ^a  

^a IA United States   (United States)

^b UNIVERSITIES SPACE RESEARCH ASSOCIATION   (United States)

Author keywords

Estimation method; Florida; Parameterization; Radar; Rainfall; United States; Weather forecasting

Indexed keywords

ESTIMATION METHOD; PARAMETERIZATION; RADAR; RAINFALL; WEATHER FORECASTING;

FLORIDA; UNITED STATES;

EID: 0032462829     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0434(1998)013<0396:COTWPP>2.0.CO;2     Document Type: Article

References (33)

1. Ahnert, P., M. Hudlow, E. Johnson, D. Greene, and M. Dias, 1983: Proposed on-site processing system for NEXRAD. Preprints, 21st Conf. on Radar Meteorology, Edmonton, AB, Canada, Amer. Meteor. Soc., 378-385.
2. Anagnostou, E. N., W. E Krajewski, D.-J. Seo, and E. R. Johnson, 1998a: Mean-field radar rainfall bias studies for WSR-88D. ASCE J. Eng. Hydrol., in press.
3. _, _, and J. A. Smith, 1998b: Uncertainty quantification of mean-areal radar-rainfall estimates. J. Atmos. Oceanic Technol., in press.
4. Austin, P. M., 1987: Relation between measured radar reflectivity and surface rainfall. Mon. Wea. Rev., 115, 1053-1069.
5. Battan, L. J., 1973: Radar Observation of the Atmosphere. The University of Chicago Press, 324 pp.
6. Ciach, G. J., and W. F. Krajewski, 1997: Error separation in remote sensing rainfall estimation. Preprints, 13th Conf. on Hydrology, Long Beach, CA, Amer. Meteor. Soc., 137-40.
7. _, _, E. N. Anagnostou, M. L. Baeck, J. A. Smith, J. R. McCollum, and A. Kruger, 1997: Radar rainfall estimation for ground validation studies of the Tropical Rainfall Measuring Mission. J. Appl. Meteor., 36, 735-747.
8. Crane, R. K., 1990: Space-time structure of rain rate field. J. Geoohys. Res., 95, 2011-2020.
9. Crum, T. D., R. L. Alberty, and D. W. Burgess, 1993: Recording archiving, and using WSR-88D data. Bull. Amer. Meteor. Soc., 74, 645-653.
10. Doviak, R. J., and D. S. Zrnic, 1992: Doppler Radar and Weather Observations. 2d ed. Academic Press, 562 pp.
11. Duan, Q., V. K. Gupta, and S. Sorooshian, 1993: A shuffled complex evolution approach for effective and efficient global minimization. J. Optim. Theory Appl., 76, 501-521.
12. Fulton, R. A., J. P. Breidenbach, D.-J. Seo, D. A. Miller, and T. O'Bannon, 1998: The WSR-88D rainfall algorithm. Wea. Forecasting, 13, 377-395.
13. Gan, T. Y., and S. J. Burges, 1990: An assessment of a conceptual rainfall-runoff model's ability to represent the dynamics of small hypothetical catchments. Part 1. Models, model properties, and experimental design. Water Resour. Res., 26, 1595-1604.
14. Hendrickson, J. D., S. Sorooshian, and L. Brazil, 1988: Comparison of Newton-type and direct search algorithms for calibration of conceptual rainfall-runoff models. Water Resour. Res., 24, 691-700.
15. Hudlow, M. D., 1988: Technological developments in real-time operational hydrologic forecasting in the United States. J. Hydrol., 102, 69-92.
16. _, R. Arkell, V. Patterson, P. Pytlowany, and F. Richards, 1979: Calibration and intercomparison of the GATE C-band radars. NOAA Tech. Rep. NESDIS 31, 98 pp.
17. _, R. K. Farnsworth, and P. R. Ahnert, 1984: NEXRAD technical requirements for precipitation estimation and accompanying economic benefits. HYDRO Tech. Note 4, 49 pp. [Available from Hydraulic Research Laboratory, National Weather Service, Silver Spring, MD 20910.]
18. Hunter, S. M., 1996: WSR-88D radar rainfall estimation: Capabilities, limitations and potential improvements. Natl. Wea. Dig., 20, 26-38.
19. James, W. P., C. G. Robinson, and J. F. Bell, 1993: Radar-assisted real-time flood forecasting. J. Water Res. Plan. Manag., 119, 32-44.
20. Kitchen, M., and R. M. Blackall, 1992: Representativeness errors in comparisons between radar and gage measurements of rainfall. J. Hydrol., 134, 13-33.
21. _, and _, 1993: Weather radar performance at long range - simulated and observed. J. Appl. Meteor., 32, 975-985.
22. 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.
23. Krajewski, W. F., 1987: Radar-rainfall data quality control by the influence function method. Water Resour. Res., 23, 837-844.
24. _, and Coauthors, 1996: Radar-rainfall estimation studies for TRMM ground validation. IIHR Tech. Rep. No. 379, 210 pp. [Available from Iowa Institute of Hydraulic Research University of Iowa, Iowa City, IA 52242.]
25. Kruger, A., and W. F. Krajewski, 1997: Efficient storage of weather radar data. Software Practice and Experience, 27, 623-635.
26. National Research Council, 1994: Estimating Bounds on Extreme Precipitation Events. National Academic Press, 28 pp.
27. Rinnooy Kan, A. H. G., and G. T. Timmer, 1989: Global optimization: A survey. New Methods in Optimization and Their Industrial Uses, J.-P. Penot, Ed., Birkhauser-Verlag, 189-194.
28. Smith, J. A., and W. F. Krajewski, 1991: Estimation of the mean field bias of radar rainfall estimates. J. Appl. Meteor., 30, 397-412.
29. _, and _, 1994: Estimation of parameters for the NEXRAD rainfall algorithms. Final Rep., 96 pp. [Available from Hydrologic Research Laboratory, NWS/NOAA, Silver Spring, MD 20910.]
30. _, G. N. Day, and M. D. Kane, 1992: A statistical framework for long term streamflow forecasting. J. Water Resour. Plan. Man., 82-93.
31. _, D.-J. Seo, M. L. Baeck, and M. D. Hudlow, 1996: An intercomparison study of NEXRAD precipitation estimates. Water Resour. Res., 32, 2035-2045.
32. Torn, A., and A. Zilinskas, 1989: Global Optimization. Springer-Verlag, 450 pp.
33. Zawadzki, I., 1984: Factors affecting the precision of radar measurements of rain. Preprints, 22d Conf. on Radar Meteorology, Zurich, Switzerland, Amer. Meteor. Soc., 251-256.