A real-time, three-dimensional, rapidly updating, heterogeneous radar merger technique for reflectivity, velocity, and derived products

Weather and Forecasting

Volumn 21, Issue 5, 2006, Pages 802-823

  Lakshmanan, Valliappa ^a   Smith, Travis ^a   Hondl, Kurt ^b   Stumpf, Gregory J ^a,c   Witt, Arthur ^b  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b NATIONAL SEVERE STORMS LABORATORY   (United States)

^c NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DOPPLER RADAR; LIGHT VELOCITY; METEOROLOGICAL RADAR; RADAR REFLECTION; SURVEILLANCE RADAR;

RADAR MERGER TECHNIQUE; REAL-TIME STREAMING DATA; THREE-DIMENSIONAL MERGER GRIDS;

WEATHER FORECASTING;

CALIBRATION; DATA PROCESSING; DOPPLER RADAR; RADAR; REAL TIME; REMOTE SENSING;

EID: 33750501160     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/WAF942.1     Document Type: Article

References (37)

1. Adrianto, I., T. M. Smith, K. A. Scharfenberg, and T. Trafalis, 2005: Evaluation of various algorithms and display concepts for weather forecasting. Preprints, 21st Int. Conf. on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, San Diego, CA, Amer. Meteor. Soc., CD-ROM, 5.7.
2. Askelson, M., J. Aubagnac, and J. Straka, 2000: An adaptation of the Barnes filter applied to the objective analysis of radar data. Mon. Wea. Rev., 128, 3050-3082.
3. Beyer, W., Ed., 1987: CRC Standard Math Tables. 18th ed. CRC Press, 487 pp.
4. Biggerstaff, M. I., and R. M. May, 2005: A meteorological radar emulator for education and research. Preprints, 21st Int. Conf. on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, San Diego, CA, Amer. Meteor. Soc., CD-ROM, 5.6.
5. Brotzge, J., D. Westbrook, K. Brewster, K. Hondl, and M. Zink, 2005: The meteorological command and control structure of a dynamic, collaborative, automated radar network. Preprints, 21st Int. Conf. on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, San Diego, CA, Amer. Meteor. Soc., CD-ROM, 19.15.
6. Brown, R., and P. Hwang, 1997: Introduction to Random Signals and Applied Kalman Filtering. John Wiley and Sons, 480 pp.
7. Browning, K., and A. Wexler, 1968: The determination of kinematic prperties of a wind field using Doppler radar. J. Appl. Meteor., 7, 105-113.
8. Burrows, M., and D. Wheeler, 1994: A block-sorting lossless data compression algorithm. Digital Equipment Corporation Tech. Rep. 124, Palo Alto, CA, 18 pp. [Available online at gatekeeper.dec.com/pub/DEC/ SRC/research-reports/abstracts/src-rr-124.html.]
9. Charba, J., and F. Liang, 2005: Quality control of gridded national radar reflectivity data. Preprints, 21st Conf. on Weather Analysis and Forecasting/17th Conf. on Numerical Weather Prediction, Washington, DC, Amer. Meteor. Soc., CD-ROM, 6A.5.
10. Doviak, R., and D. Zrnic, 1993: Doppler Radar and Weather Observations. 2d ed. Academic Press, 458 pp.
11. Droegemeier, K., and Coauthors, 2002: Project CRAFT: A test bed for demonstrating the real time acquisition and archival of WSR-88D level II data. Preprints, 18th Int. Conf. on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, Orlando, FL, Amer. Meteor. Soc., 136-139.
12. Foote, G., and P. S. duToit, 1969: Terminal velocity of raindrops aloft. J. Appl. Meteor., 8, 249-253.
13. Fulton, R., D. Breidenback, D. Miller, and T. O'Bannon, 1998: The WSR-88D rainfall algorithm. Wea. Forecasting, 13, 377-395.
14. Gourley, J. J., B. Kaney, and R. A. Maddox, 2003: Evaluating the calibrations of radars: A software approach. Preprints, 31st Int. Conf. on Radar Meteorology, Hyannis, MA, Amer. Meteor. Soc., CD-ROM, P3C.1.
15. Greene, D. R., and R. A. Clark, 1972: Vertically integrated liquid water - A new analysis tool. Mon. Wea. Rev., 100, 548-552.
16. Johnson, J., P. MacKeen, A. Witt, E. Mitchell, G. Stumpf, M. Eilts, and K. Thomas, 1998: The Storm Cell Identification and Tracking Algorithm: An enhanced WSR-88D algorithm. Wea. Forecasting, 13, 263-276.
17. Kalman, R., 1960: A new approach to linear filtering and prediction problems. Trans. ASME J. Basic Eng., 82D, 35-45.
18. Kessinger, C. J., P. Ray, and C. E. Hane, 1987: The Oklahoma squall line of 19 May 1977. Part I: A multiple Doppler analysis of convective and stratiform structure. J. Atmos. Sci., 44, 2840-2864.
19. Kessinger, C. J., S. Ellis, and J. Van Andel, 2003: The radar echo classifier: A fuzzy logic algorithm for the WSR-88D. Preprints, Third Conf. on Artificial Applications to the Environmental Sciences, Long Beach, CA, Amer. Meteor. Soc., CD-ROM, P1.6.
20. Lakshmanan, V., and M. Valente, 2004: Quality control of radar reflectivity data using satellite data and surface observations. Preprints, 20th Int. Conf. on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, Seattle, WA, Amer. Meteor. Soc., CD-ROM, 12.2.
21. Lakshmanan, V., K. Hondl, G. Stumpf, and T. Smith, 2003a: Quality control of weather radar data using texture features and a neural network. Fifth Int. Conf. on Advances in Pattern Recognition, Calcutta, India, IEEE-Indian Statistical Institute, 54-59.
22. Lakshmanan, V., R. Rabin, and V. DeBrunner, 2003b: Multiscale storm identification and forecast. Atmos. Res., 67/68, 367-380.
23. Levit, J. J., V. Lakshmanan, K. L. Manross, and R. Schneider, 2004: Integration of the Warning Decision Support System-Integrated Information (WDSS-II) into the NOAA Storm Prediction Center. Preprints, 22d Conf. on Severe Local Storms, Hyannis, MA, Amer. Meteor. Soc., CD-ROM, 8B4.
24. Lhermitte, R., and D. Atlas, 1961: Precipitation motion by pulse Doppler. Preprints, Ninth Conf. on Radar Meteorology, Boston, MA, Amer. Meteor. Soc., 218-223.
25. Liou, Y.-C., 2002: An explanation of the wind speed underestimation obtained from a least squares type single-Doppler radar velocity retrieval method. J. Appl. Meteor., 41, 811-823.
26. Maes, P., 1995: Artificial life meets entertainment: Life-like autonomous agents. Commun. ACM, 38, 108-114.
27. McNellis, T., S. Katz, M. Campbell, and J. Melody, 2005: Recent advances in phased array radar for meteorological applications. Preprints, 21st Int. Conf. on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, San Diego, CA, Amer. Meteor. Soc., CD-ROM, 19.6.
28. O'Bannon, T., 1997: Using a terrain-based hybrid scan to improve WSR-88D precipitation estimates. Preprints, 28th Conf. on Radar Meteorology, Austin, TX, Amer. Meteor. Soc., 506-507.
29. Rabin, R., and D. Zrnic, 1980: Subsynoptic-scale vertical wind revealed by dual Doppler-radar and VAD analysis. J. Atmos. Sci., 37, 644-654.
30. Smith, D. C., A. Cypher, and J. Spohrer, 1994: KidSim: Programming agents without a programming language. Commun. ACM, 37, 55-67.
31. Smith, T. M., and K. L. Elmore, 2004: The use of radial velocity derivatives to diagnose rotation and divergence. Preprints, 11th Conf. on Aviation, Range, and Aerospace, Hyannis, MA, Amer. Meteor. Soc., CD-ROM, P5.6.
32. Stumpf, G. J., T. M. Smith, and J. Hocker, 2004: New hail diagnostic parameters derived by integrating multiple radars and multiple sensors. Preprints, 22d Conf. on Severe Local Storms, Hyannis, MA, Amer. Meteor. Soc., CD-ROM, P7.8.
33. Stumpf, G. J., S. Smith, and K. Kelleher, 2005: Collaborative activities of the NWS MDL and NSSL to improve and develop new multiple-sensor severe weather warning guidance applications. Preprints, 21st Int. Conf. on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, San Diego, CA, Amer. Meteor. Soc., CD-ROM, P2.13.
34. Trapp, R. J., and C. A. Doswell, 2000: Radar data objective analysis. J. Atmos. Oceanic Technol., 17, 105-120.
35. Witt, A., M. Eilts, G. Stumpf, J. Johnson, E. Mitchell, and K. Thomas, 1998: An enhanced hail detection algorithm for the WSR-88D. Wea. Forecasting, 13, 286-303.
36. Witt, A., R. A. Brown, and V. Lakshmanan, 2005: Real-time calculation of horizontal winds using multiple Doppler radars: A new WDSS-II module. Preprints, 32d Conf. on Radar Meteorology, Albuquerque, NM, Amer. Meteor. Soc., CD-ROM, P8R7.
37. Zhang, J., K. Howard, and J. J. Gourley, 2005: Constructing three-dimensional multiple-radar reflectivity mosaics: Examples of convective storms and stratiform rain echoes. J. Atmos. Oceanic Technol., 22, 30-42.