Assimilation of the dual-polarization Doppler radar data for a convective storm with a warm-rain radar forward operator

Journal of Geophysical Research Atmospheres

Volumn 115, Issue 16, 2010, Pages

  Li, Xuanli ^a   Mecikalski, John R ^a  

^a University of Alabama in Huntsville   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; DOPPLER EFFECT; DOPPLER RADAR; POLARIZATION; RADAR; RADAR SYSTEMS; RAIN; REFLECTION; RESEARCH; STORMS; VELOCITY; WATER CONTENT; WEATHER FORECASTING;

ADVANCED RESEARCHES; ALABAMA; C-BANDS; COMBINED INFORMATIONS; CONVECTIVE STORMS; DATA ASSIMILATION; DATA ASSIMILATION SYSTEMS; DIFFERENTIAL REFLECTIVITY; DOPPLER RADAR OBSERVATION; DUAL-POLARIZATIONS; INITIAL CONDITIONS; LIQUID WATER CONTENT; MESOSCALE CONVECTIVE SYSTEM; MOIST CONVECTION; OPERATIONAL RESEARCH; POTENTIAL TECHNIQUES; RADAR OPERATOR; RADIAL VELOCITY; RAIN RADAR; REGIONAL MODEL; SHORT-TERM FORECASTS; VARIATIONAL DATA ASSIMILATION; WEATHER RESEARCH AND FORECASTING MODELS;

METEOROLOGICAL RADAR;

CONVECTIVE SYSTEM; DATA ASSIMILATION; DOPPLER RADAR; MESOSCALE METEOROLOGY; OBSERVATIONAL METHOD; POLARIZATION; REFLECTIVITY; THUNDERSTORM; WATER CONTENT; WEATHER FORECASTING;

ALABAMA; UNITED STATES;

EID: 77956312314     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2009JD013666     Document Type: Article

References (57)

1. Aydin, K., Y. Zhao, and T. A. Seliga (1990), A differential reflectivity radar hail measurement technique: Observations during the Denver hailstorm of 13 June 1984, J. Atmos. Oceanic Technol., 7, 104-113.
2. Barker, D. M., W. Huang, Y. R. Guo, and Q. N. Xiao (2004), A threedimensional (3DVAR) data assimilation system for use with MM5: implementation and initial results, Mon. Weather. Rev., 132, 897-914.
3. Brandes, E. A., G. Zhang, and J. Vivekanandan (2002), Experiments in rainfall estimation with a polarimetric radar in a subtropical environment, J. Appl. Meteorol., 41, 674-685.
4. Bringi, V. N., T. Keenan, and V. Chandrasekar (2001), Correcting C band radar reflectivity and differential reflectivity data for rain attenuation: a self consistent method with constraints, IEEE Trans. Geosci. Remote Sens., 39, 1906-1915.
5. Bringi, V. N., G. Huang, V. Chandrasekar, and E. Gorgucci (2002), A methodology for estimating the parameters of a gamma raindrop size distribution model from polarimetric radar data: Application to a squall-line event from the TRMM/Brazil campaign, J. Atmos. Oceanic Technol., 19, 633-645.
6. Bringi, V. N., V. Chandrasekar, J. Hubbert, E. Gorgucci, W. L. Randeu, and M. Schoenhuber (2003), Raindrop size distribution in different climatic regimes from disdrometer and dual-polarized radar analysis, J. Atmos. Sci., 60, 354-365.
7. Cao, Q., G. Zhang, E. Brandes, T. Schuur, A. Ryzhkov, and K. Ikeda (2008), Analysis of video disdrometer and polarimetric radar data to characterize rain microphysics in Oklahoma, J. Clim. Appl. Meteorol., 47, 2238-2255.
8. Carey, L. D., S. A. Rutledge, D. A. Ahijevych, and T. D. Keenan (2000), Correcting propagation effects in C band polarimetric radar observations of tropical convection using differential propagation phase, J. Appl. Meteorol., 39, 1405-1433.
9. Chandrasekar, V., V. N. Bringi, N. Balakrishnan, and D. S. Zrni- (1990), Error structure of multiparameter radar and surface measurements of rainfall: Part III. Specific differential phase. J. Atmos. Oceanic Technol., 7, 621-629.
10. Dawson, D. T., and M. Xue (2006), Numerical forecasts of the 15-16 June 2002 Southern Plains mesoscale convective system: Impact of mesoscale data and cloud analysis, Mon. Weather Rev., 134, 1607-1629.
11. Dudhia, J. (1989), Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model, J. Atmos. Sci., 46, 3077-3107.
12. Grabowski, W. W. (1998), Toward cloud resolving modeling of large-scale tropical circulations: A simple cloud microphysics parameterization, J. Atmos. Sci., 55, 3283-3298.
13. Hall, M. P. M., J. W. F. Goddard, and S. M. Cherry (1984), Identification of hydrometeors and other targets by dual-polarization radar, Radio Sci., 19, 132-140.
14. Hong, S.-Y., Y. Noh, and J. Dudhia (2006), A new vertical diffusion package with an explicit treatment of entrainment processes, Mon. Weather. Rev., 134, 2318-2341.
15. Hu, M., M. Xue, and K. Brewster (2006), 3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of the Fort Worth, Texas, tornadic thunderstorms: Part I. Cloud analysis and its impact, Mon. Weather Rev., 134, 675-698.
16. Ikeda, K., E. A. Brandes, and R. M. Rasmussen (2005), Notes and correspondence: Polarimetric radar observation of multiple freezing levels, J. Atmos. Sci., 62, 3624-3636.
17. Jung, Y., M. Xue, and G. Zhang (2010), Simulations of polarimetric radar signatures of a supercell storm using a two-moment bulk microphysics scheme, J. Appl. Meteor. Climatol., 49, 146-163.
18. Li, X., and Z. Pu (2008), Sensitivity of numerical simulation of early rapid intensification of Hurricane Emily (2005) to cloud microphysical and planetary boundary layer parameterizations, Mon. Weather. Rev., 136, 4819-4838.
19. Li, X., J. R. Mecikalski, and L. Carey (2009), Assimilation of dualpolarimetric radar observations and its impact, paper presented at 10nd WRF User's Workshop, Boulder, CO, 23-26 June.
20. Janjic, Z. I. (1994), The step-mountain Eta coordinate model: Further developments of the convection, viscous sublayer and turbulence closure schemes, Mon. Weather. Rev., 122, 927-945.
21. Jung, Y., M. Xue, G. Zhang, and J. M. Straka (2008), Assimilation of simulated polarimetric radar data for a convective storm using the ensemble Kalman filter: Part II. Impact of polarimetric data on storm analysis, Mon. Weather. Rev., 136, 2246-2260.
22. Kessler, E. (1969), On the distribution and continuity of water substance in atmospheric circulation, Meteorol. Monogr., 32, Am. Meteorol. Soc., 84 pp.
23. Mlawer, E. J., S. J. Taubman, P. D. Brown, M. J. Iacono, and S. A. Clough (1997), Radiative transfer for inhomogeneous atmosphere: RRTM, a validated correlated-k model for the longwave, J. Geophys. Res., 102(D14), 16,663-16,682.
24. Mohr, C. G., L. J. Miller, and R. L. Vaughan (1981), An interactive software package for the rectification of radar data to three-dimensional space, J. Appl. Meteorol., 18, 661-670.
25. Oye, R., C. Mueller, and S. Smith (1995), Software for radar translation, visualization, editing, and interpolation. Preprints, paper presented at 27th Conf. on Radar Meteorology, pp. 359-361, Am. Meteorol. Soc., Vail, CO.
26. Parrish, D. F., and J. C. Derber (1992), The National Meteorological Center's spectral statistical-interpolation analysis system, Mon. Weather. Rev., 120, 1747-1763.
27. Petersen, W. A., K. R. Knupp, D. J. Cecil, and J. R. Mecikalsi (2007), The University of Alabama Huntsville THOR Center instrumentation: Research and operational collaboration, paper presented at 33rd International Conference on Radar Meteorology, Cairns, Australia, 6-10 August.
28. Pu, Z., X. Li, and J. Sun (2009), Impact of airborne Doppler radar data assimilation on the numerical simulation of intensity change of Hurricane Dennis (2005) near a landfall, J. Atmos. Sci., 66, 3351-3365.
29. Rinehart, R. E. (1997), Radar for Meteorologists, 428 pp., Rinehart.
30. Ryzhkov, A., and D. Zrni- (1995), Comparison of dual-polarization radar estimators of rain, J. Atmos. Oceanic Technol., 12, 249-256.
31. Ryzhkov, A., and D. Zrni- (1996), Assessment of rainfall measurement that uses specific differential phase, J. Appl. Meteorol., 35, 2080-2090.
32. Ryzhkov, A., D. Zrni-, and B. A. Gordon (1998), Polarimetric method for ice water content determination, J. Appl. Meteorol., 37, 125-134.
33. Sachidananda, M., and D. S. Zrni- (1987), Rain rate estimates from differential polarization measurements, J. Atmos. Oceanic Technol., 4, 588-598.
34. Seliga, T. A., and V. N. Bringi (1976), Potential use of radar differential reflectivity measurements at orthogonal polarizations for measuring precipitation, J. Appl. Meteorol., 15, 69-76.
35. Seliga, T. A., K. Aydin, and H. Direskeneli (1986), Disdrometer measurements during an intense rainfall event in central Illinois: Implications for differential reflectivity radar observations, J. Appl. Meteorol., 25, 835-846.
36. Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, M. G. Duda, X.-Y. Huang, W. Wang, and J. G. Powers (2008), A Description of the Advanced Research WRF Version 3, NCAR Tech. Note, NCAR/ TN-475+STR. (Available at NCAR, Boulder, CO 80300)
37. Snyder, C., and F. Zhang (2003), Tests of an ensemble Kalman filter for convective-scale data assimilation, Mon. Weather. Rev., 131, 1663-1677.
38. Sun, J. (2005), Initialization and numerical forecasting of a supercell storm observed during STEPS, Mon. Weather. Rev., 133, 793-813.
39. Sun, J., and N. A. Crook (1997), Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint: Part I. Model development and simulated data experiments, J. Atmos. Sci., 54, 1642-1661.
40. Sun, J., and N. A. Crook (1998), Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint: Part II. Retrieval experiments of an observed Florida convective storm, J. Atmos. Sci., 55, 835-852.
41. Tong, M., and M. Xue (2005), Ensemble Kalman filter assimilation of Doppler radar data with a compressible nonhydrostatic model: OSS experiments, Mon. Weather. Rev., 133, 1789-1807.
42. Tuttle, J. D., V. N. Bringi, H. D. Orville, and F. J. Kopp (1989), Multiparameter radar study of a microburst: Comparison with model results, J. Atmos. Sci., 46, 601-620.
43. Ulbrich, C. W., and D. Atlas (1984), Assessment of the contribution of differential polarization to improved rainfall measurements, Radio Sci., 19, 49-57.
44. Vivekanandan, J., S. M. Ellis, R. Oye, D. S. Zrni-, A. V. Ryzhkov, and J. Straka (1999), Cloud microphysics retrieval using S-band dualpolarization radar measurements, Bull. Am. Meteorol. Soc., 80, 381-388.
45. Vivekanandan, J., G. Zhang, and E. Brandes (2004), Polarimetric radar estimators based on a constrained gamma drop size distribution model, J. Appl. Meteorol., 43, 217-230.
46. Weygandt, S. S., A. Shapiro, and K. K. Droegemeier (2002), Retrieval of model initial fields from single-Doppler observations of a supercell thunderstorm: Part II. Thermodynamic retrieval and numerical prediction, Mon. Weather. Rev., 130, 454-476.
47. Wu, B., J. Verlinde, and J. Sun (2000), Dynamical and microphysical retrievals from Doppler radar observations of a deep convective cloud, J. Atmos. Sci., 57, 262-283.
48. Xiao, Q., Y. H. Kuo, J. Sun, W. C. Lee, E. Lim, Y. R. Guo, and D. M. Barker (2005), Assimilation of Doppler radar observations with a regional 3DVAR system: Impact of Doppler velocities on forecasts of a heavy rainfall case, J. Appl. Meteorol., 44, 768-788.
49. Xiao, Q., et al. (2006), Doppler radar data assimilation with WRF-VAR: Current status and future plan, paper presented at 7th WRF Users' workshop, National Center for Atmospheric Research, Boulder, CO, 19-22 June.
50. Xiao, Q., J. Sun, W. C. Lee, E. Lim, D. M. Barker, and E. Lim (2007), An approach of radar reflectivity data assimilation and its assessment with the inland QPF of Typhoon Rusa (2002) at landfall, J. Clim. Appl. Meteorol., 46, 14-22.
51. Xiao, Q., et al. (2008), Doppler radar data assimilation in KMA's operational forecasting, Bull. Am. Meteorol. Soc., 89, 39-43.
52. Zhang, F., C. Snyder, and J. Sun (2004), Tests of an ensemble Kalman filter for convective-scale data assimilation: Impact of initial estimate and observations, Mon. Weather. Rev., 132, 1238-1253.
53. Zhang, F., Y. Weng, J. A. Sippel, Z. Meng, and C. H. Bishop (2009), Cloud-resolving hurricane initialization and prediction through assimilation of Doppler radar observations with an Ensemble Kalman Filter, Mon. Weather. Rev., 137, 2105-2125.
54. Zhang, G., J. Vivekanandan, and E. Brandes (2001),A method for estimating rain rate and drop size distribution from polarimetric radar measurements, IEEE Trans. Geosci. Remote Sens., 39, 830-841.
55. Zhang, G., J. Vivekanandan, E. Brandes, R. Meneghini, and T. Kozu (2003), The shape-slope relation in gamma raindrop size distributions: Statistical error or useful information-, J. Atmos. Oceanic Technol., 20, 1106-1119.
56. Zhao, Q., J. Cook, Q. Xu, and P. R. Harasti (2006), Using radar wind observations to improve mesoscale numerical weather prediction, Weather Forecast., 21, 502-522.
57. Zrni-, D. S., and A. V. Ryzhkov (1996), Advantages of rain measurements using specific differential phase, J. Atmos. Oceanic Technol., 13, 454-464.