Variational analysis of oversampled dual-Doppler radial velocity data and application to the analysis of tornado circulations

Journal of Atmospheric and Oceanic Technology

Volumn 24, Issue 3, 2007, Pages 403-414

  Xue, Ming ^a   Liu, Shun ^a,b   Yu, Tian You ^c  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b LANZHOU UNIVERSITY   (China)

^c University of Oklahoma   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DOPPLER RADAR; METEOROLOGICAL RADAR; STORMS; SURVEILLANCE RADAR; WEATHER FORECASTING;

COLLABORATIVE ADAPTIVE SENSING OF ATMOSPHERE (CASA); HIGH-RESOLUTION WIND ANALYSES; RADIAL VELOCITY OBSERVATIONS;

TORNADOES;

DOPPLER RADAR; METEOROLOGICAL RADAR; STORMS; SURVEILLANCE RADAR; TORNADOES; WEATHER FORECASTING;

CIRCULATION; DATA PROCESSING; DOPPLER RADAR; FLOW STRUCTURE; NUMERICAL METHOD; REMOTE SENSING; SAMPLING; TORNADO; VELOCITY; WIND;

EID: 34047192147     PISSN: 07390572     EISSN: None     Source Type: Journal    
DOI: 10.1175/JTECH1988.1     Document Type: Article

References (24)

1. Brotzge, J. A., K. Brewster, B. Johnson, B. Philips, M. Preston, D. Westbrook, and M. Zink, 2005: CASA's first testbed: Integrated project #1 (IP1). Preprints, 32d Conf. on Radar Meteorology, Albuquerque, NM, Amer. Meteor. Soc., CD-ROM 14R.2.
2. Brown, R. A., V. T. Wood, and D. Sirmans 2002: Improved tornado detection using simulated and actual WSR-88D data with enhanced resolution. J. Atmos. Oceanic Technol., 19, 1759-1771.
3. Brown, R. A., B. A. Flickinger, E. Forren, D. M. Schultz, D. Sirmans, P. L. Spencer, V. T. Wood, and C. L. Ziegler, 2005: Improved detection of severe storms using experimental fine-resolution WSR-88D measurements. Wea. Forecasting, 20, 3-14.
4. 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.
5. Davies-Jones, R., R. J. Trapp, and H. B. Bluestein, 2001: Tornadoes and tornadic storins. Severe Convective Storms, C. A. Dowswell. III, Ed., Amer. Meteor. Soc., 167-222.
6. Doviak, R., and D. Zrnic, 1993: Doppler Radar and Weather Observations. 2d ed. Academic Press, 562 pp.
7. Gal-Chen, T., 1982: Errors in fixed and moving frame of references: Applications for convectional and Doppler radar analysis. J. Atmos. Sci., 39, 2279-2300.
8. Gao, J.-D., M. Xue, A. Shapiro, and K. K. Droegemeier, 1999: A variational method for the analysis of three-dimensional wind fields from two Doppler radars. Mon. Wea. Rev., 127, 2128-2142.
9. Gao, J.-D., M. Xue, K. Brewster, and K. K. Droegemeier, 2004a: A three-dimensional variational data analysis method with recursive filter for Doppler radars. J. Atmos. Oceanic Technol., 21, 457-469.
10. Gao, J.-D., M. Xue, K. Brewster, and K. K. Droegemeier, 2004b: A three-dimensional variational data analysis method with recursive filter for Doppler radars. J. Atmos. Oceanic Technol., 21, 457-469.
11. Hayden, C. M., and J. Purser, 1995: Recursive filter objective analysis of meteorological fields: Applications to NESDIS operational processing. J. Appl. Meteor., 34, 3-15.
12. Liu, H., and M. Xue, 2006: Retrieval of moisture from slant-path water vapor observations of a hypothetical GPS network using a three-dimensional variational scheme with anisotropic background error. Mon. Wea. Rev., 134, 933-949.
13. Liu, S., P. Zhang, L. Wang, J. Gong, and Q. Xu, 2003: Problems and solutions in real-time Doppler wind retrievals. Preprints, 31st Conf. on Radar Meteorology, Seattle, WA, Amer. Meteor. Soc., 308-309.
14. Liu, S., C. Qiu, Q. Xu, and P. Zhang, 2004: An improved time interpolation for three-dimensional Doppler radar wind analysis. J. Appl. Meteor., 43, 1379-1391.
15. Liu, S., C. Qiu, Q. Xu, P. Zhang, J. Gao, and A. Shao, 2005: An improved method for Doppler wind and thermodynamic retrievals. Adv. Atmos. Sci., 21, 90-102.
16. Liu, S., M. Xue, and Q. Xu, 2007: Using wavelet analysis to detect tornadoes from Doppler radar radial-velocity observations. J. Atmos. Oceanic Technol., 24, 344-359.
17. Mitchell, E. D., S. V. Vasiloff, G. J. Stumpf, A. Witt, M. D. Eilts, J. T. Johnson, and K. W. Thomas, 1998: The national sever storms laboratory tornado detection algorithm. Wea. Forecasting, 13, 352-360.
18. Purser, R. J., W.-S. Wu, D. F. Parrish, and N. M. Roberts, 2003: Numerical aspects of the application of recursive filters to variational statistical analysis. Part I: Spatially homogeneous and isotropic Gaussian covariances. Mon. Wea. Rev., 131, 1524-1535.
19. Ray, P. S., B. Johnson, K. W. Johnson, J. S. Bradberry, J. J. Stephens, K. K. Wagner, R. B. Wilhelmson, and J. B. Klemp, 1981: The morphology of severe tornadic storms on 20 May 1977. J. Atmos. Sci., 38, 1643-1663.
20. Wood, V. T., and R. A. Brown, 1997: Effects of radar sampling on single-Doppler velocity signatures of mesocyclones and tornadoes. Wea. Forecasting, 12, 928-938.
21. Xue, M., K. K. Droegemeier, and V. Wong, 2000: The Advanced Regional Prediction System (ARPS) - A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part I: Model dynamics and verification. Meteor. Atmos. Phys., 75, 161-193.
22. Xue, M., and Coauthors, 2001: The Advanced Regional Prediction System (ARPS) - A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications. Meteor. Atmos. Phys., 76, 143-165.
23. Xue, M., M. Tong, and K. K. Droegemeier, 2006: An OSSE framework based on the ensemble square-root Kalman filter for evaluating impact of data from radar networks on thunderstorm analysis and forecast. J. Atmos. Oceanic Technol., 23, 46-66.
24. Yu, T., G. Zhang, A.B. Chalamalasetti, R.J. Doviak, and D. Zrnic, 2006: Resolution enhancement technique using range oversampling. J. Atmos. Oceanic Technol., 23, 228-240.