Impact of a vertical vorticity constraint in variational dual-doppler wind analysis: Tests with real and simulated supercell data

Journal of Atmospheric and Oceanic Technology

Volumn 29, Issue 1, 2012, Pages 32-49

  Potvin, Corey K ^a   Shapiro, Alan ^b   Xue, Ming ^b  

^a NATIONAL SEVERE STORMS LABORATORY   (United States)

^b UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

Supercells; Variational analysis; Vorticity

Indexed keywords

ADVANCED REGIONAL PREDICTION SYSTEMS; DOPPLER; INTRINSIC EVOLUTION; MASS CONSERVATION; MOBILE RADARS; OKLAHOMA; RADAR NETWORK; RADAR OBSERVATIONS; RADIAL WINDS; SMOOTHNESS CONSTRAINTS; SUPER CELL; SUPERCELL STORMS; VARIATIONAL ANALYSIS; VARIATIONAL DATA ASSIMILATION; VERTICAL VELOCITY; VERTICAL VORTICITY; VERTICAL WIND; WIND ANALYSIS;

DATA PROCESSING; RADAR; STORMS;

VORTICITY;

ADVECTION; DATA ASSIMILATION; DOPPLER RADAR; STORM; SUPERCELL; VORTICITY; WIND;

OKLAHOMA [UNITED STATES]; UNITED STATES;

EID: 84856981254     PISSN: 07390572     EISSN: None     Source Type: Journal    
DOI: 10.1175/JTECH-D-11-00019.1     Document Type: Article

References (29)

1. Brandes, E. A., 1977: Flow in severe thunderstorms observed by dual-Doppler radar. Mon. Wea. Rev., 105, 113-120.
2. Brotzge, J., K. Hondl, B. Philips, L. Lemon, E. J. Bass, D. Rude, and D. L. Andra, 2010: Evaluation of distributed collaborative adaptive sensing for detection of low-level circulations and implications for severe weather warning operations. Wea. Forecasting, 25, 173-189.
3. Cressman, G. P., 1959: An operational objective analysis system. Mon. Wea. Rev., 87, 367-374.
4. Gal-Chen, T., 1982: Errors in fixed and moving frames of reference: Applications for conventional and Doppler radar analysis. J. Atmos. Sci., 39, 2279-2300.
5. Gao, J., M. Xue, A. Shapiro, and K. K. Droegemeier, 1999: A variationalmethod for the analysis of three-dimensional wind fields from two Doppler radars. Mon. Wea. Rev., 127, 2128-2142.
6. Liou, Y.-C., and Y.-J. Chang, 2009: A variational multiple-Doppler radar three-dimensional wind synthesis method and its impacts on thermodynamic retrieval. Mon. Wea. Rev., 137, 3992-4010.
7. 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., 22, 90-102.
8. 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.
9. May, R. M., M. I. Biggerstaff, and M. Xue, 2007: A Doppler radar emulator with an application to the detectability of tornadic signatures. J. Atmos. Oceanic Technol., 24, 1973-1996.
10. Mewes, J. J., and A. Shapiro, 2002: Use of the vorticity equation in dual-Doppler analysis of the vertical velocity field. J. Atmos. Oceanic Technol., 19, 543-567.
11. Mohr, C. G., L. J. Miller, R. L. Vaughan, and H. W. Frank, 1986: The merger of mesoscale datasets into a common Cartesian format for efficient and systematic analysis. J. Atmos. Oceanic Technol., 3, 143-161.
12. Oye, D., and M. Case, 1995: REORDER: A program for gridding radar data-Installation and use manual for the UNIX version. Atmospheric Technology Division, National Center for Atmospheric Research, 44 pp. [Available online at http://www.eol.ucar.edu/instrumentation/airborne-instruments/eldora/eldora-help-center/manual/reorder-reference-manual/unixreorder.pdf.]
13. Oye, R., C. Mueller, and S. Smith, 1995: Software for radar translation, visualization, editing, and interpolation. Preprints, 27th Conf. on Radar Meteorology, Vail, CO, Amer. Meteor. Soc., 359-361.
14. Potvin, C. K., A. Shapiro, T.-Y. Yu, J. Gao, and M. Xue, 2009: Using a low-order model to detect and characterize tornadoes in multiple-Doppler radar data. Mon. Wea. Rev., 137, 1230-1249.
15. Press, W. H., S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, 1992: Numerical Recipes in FORTRAN: The Art of Scientific Computing. 2nd ed. Cambridge University Press, 963 pp.
16. Protat, A., and I. Zawadzki, 2000: Optimization of dynamic retrievals from a multiple-Doppler radar network. J. Atmos. Oceanic Technol., 17, 753-760.
17. Protat, A, I. Zawadzki, and A. Caya, 2001: Kinematic and thermodynamic study of a shallow hailstorm sampled by the McGill bistatic multiple- Doppler radar network. J. Atmos. Sci., 58, 1222-1248.
18. 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.
19. Shapiro, A., S. Ellis, and J. Shaw, 1995: Single-Doppler velocity retrievals with Phoenix II data: Clear air and microburst wind retrievals in the planetary boundary layer. J. Atmos. Sci., 52, 1265-1287.
20. Shapiro, A., C. K. Potvin, and J. Gao, 2009: Use of a vertical vorticity equation in variational dual-Doppler wind analysis. J. Atmos. Oceanic Technol., 26, 2089-2106.
21. Shapiro, A., K. M. Willingham, and C. K. Potvin, 2010a: Spatially variable advection correction of radar data. Part I: Theoretical considerations. J. Atmos. Sci., 67, 3445-3456.
22. Shapiro, A., K. M. Willingham ,and C. K. Potvin ,2010b: Spatially variable advection correction of radar data. Part II: Test results. J. Atmos. Sci., 67, 3457-3470.
23. Taylor, G. I., 1938: The spectrum of turbulence. Proc. Roy. Soc. London, 164A, 476-490.
24. Tong, M., and M. Xue, 2005: Ensemble Kalman filter assimilation of Doppler radar data with a compressible nonhydrostatic model: OSS experiments. Mon. Wea. Rev., 133, 1789-1807.
25. Wurman, J., J. Straka, E. Rasmussen, M. Randall, and A. Zahrai, 1997: Design and deployment of a portable, pencil-beam, pulsed, 3-cm Doppler radar. J. Atmos. Oceanic Technol., 14, 1502-1512.
26. 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.
27. Xue, M and Coauthors, 2001: The Advanced Regional Prediction System (ARPS)-A multi-scale nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications. Meteor. Atmos. Phys., 76, 143-165.
28. Xue, M, S. Liu, and T.-Y. Yu, 2007: Variational analysis of oversampled dual-Doppler radial velocity data and application to the analysis of tornado circulations. J. Atmos. Oceanic Technol., 24, 403-414.
29. Zrnic, D. S. and Coauthors, 2007: Agile-beam phased array radar for weather observations. Bull. Amer. Meteor. Soc., 88, 1753-1766.