Ming Xue obtained his B.Sc. in Meteorology from Nanjing University (China) in 1984. He was awarded the British Council Technical Cooperation Award to study at University of Reading, England for advanced degrees. He obtained his Ph.D. in meteorology from Reading University in 1989 under the supervision of Prof. Alan Thorpe.

He joined Center for Analysis and Prediction of Storms (CAPS), University of Oklahoma in 1989 as a post-doctoral fellow in 1989 and became a senior research scientist in 1993. Dr. Xue is the principal architect of the Advanced Regional Prediction System (ARPS), a comprehensive multi-scale research and NWP model. He was the director of the model development project of CAPS from 1994 to 2001 and was responsible for the overall planning, design, testing, and module integration of the model. The model won the Discover Magazine Award for Technology Innovation (computer software category) in 1997 and the Computerworld Smithsonian Award (science category) in the same year. The model is being used by researchers and governmental agencies of more than 25 countries for applications ranging from basic research to operational numerical weather prediction. Over more recent years, he has developed with his graduate students the ensemble data assimilation system for the ARPS and has contributed to the development of the ARPS 3DVAR system. He is the Analysis and Prediction Thrust leader, Associate Director and the University of Oklahoma PI of the NSF Engineering Research Center (ERC) for Collaborative Adaptive Sensing of the Atmosphere (CASA). Dr. Xue is currently a professor of School of Meteorology and Director of CAPS. He has over ten active research grants currently, with the majority from the National Science Foundation.

Dr. Xue's main research interests involve the development of advanced numerical modeling and data assimilation systems, numerical weather prediction, high-performance computing, simulation and prediction of mesoscale and convective scale systems, mesoscale and storm-scale dynamics, tornado dynamics, data assimilation and predictability, and variational and ensemble Kalman filter techniques for assimilating radar data.

PROFESSIONAL SERVICES

Dr. Xue supervises over 10 graduate students and post-doctoral scientists. He is actively involved in the development of the next generation Weather and Forecast Model of the US and serves on the WRF Research Applications Board. He regularly serves as the reviewers of many scientific journals and of proposals of national funding agencies. He has authored and co-authored close to 200 referred journal articles and even more conference papers. The courses he taught include graduate-level Computational Fluid Dynamics, Objective Analysis and Data Assimilation, undergraduate level Physical Mechanics and Mesoscale Meteorology.

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1. Xue, M. and A. J. Thorpe, 1991: A mesoscale numerical model using the nonhydrostatic sigma-coordinate equations: Model experiments with dry mountain flows, Mon. Wea Rev., 119, 1168-1185.
2. Droegemeier, K.K., M. Xue, K. Johnson, K. Mills, and M. O'Keefe, 1993: Experiences with the scalable- parallel ARPS cloud/mesoscale prediction model on massively parallel and workstation cluster architectures. Parallel Supercomputing in Atmospheric Science, G.R. Hoffinan and T. Kauranne, Eds., World Scientific, 99-129.
3. Johnson, K.W., J. Bauer, G.A. Riccardi, K.K. Droegemeier, and M. Xue, 1994: Distributed processing of a regional prediction model. Mon. Wea. Rev. 122. 2558-2572.
4. Droegemeier, K.K., M. Xue, K. Johnson, M. O'Keefe, A. Sawdey, G. Sabot, S. Wholey, N.T. Lin, and K. Mills, 1995: Weather prediction: A scalable storm-scale model. In High Performance Computing, G. Sabot (Ed.), Addison-Wesley, Reading, Massachusetts, 45-92.
5. Sathye, A., G. Bassett, K. Droegemeier, and M. Xue, 1995: Towards operational severe weather prediction using massively parallel processing, High Performance Computing. Tata McGraw Hill, New Dehli, India.
6. Sathye, A., G. Bassett, K. Droegemeier, M. Xue, and K. Brewster, 1996: Experiences using high performance computing for operational storm scale weather prediction, In: Concurrency: Practice and Experience, special issue on Commercial and industrial Applications on High Performance Computing. John Wiley & Sons, Ltd., 731-740.
7. Xu, Q., M. Xue, and K.K. Droegemeier, 1996: Numerical simulations of density currents in sheared environments within a vertically confined channel. 53, J. Atmos. Sci. 770-786.
8. Xue, M., Q. Xu, and K.K. Droegemeier, 1997: A Theoretical and numerical study of density currents in non-constant shear flows. 54, J. Atmos. Sci. 1998-2019.
9. Sathye, A., M. Xue, G.Bassett, and K.K. Droegemeier, 1997: Parallel weather modeling with the Advanced Regional Prediction System. 23, Parallel Computing., 2243-2256.
10. Gao, J., M. Xue, A. Shapiro, and K.K. Droegemeier, 1999: A variational method for the retrieval of three-dimensional wind fields from dual-Doppler radars. Mon. Wea. Rev., 127, 2128-2142.

2000-2005

11. Xue, M., 2000: Density currents in two-layer shear flows. Quart. J. Roy. Met. Soc., 126, 1301-1320.
12. Xue, M., 2000: High-order monotonic numerical diffusion and smoothing, Mon. Wea. Rev. 128, 2853-2864.
13. 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. Physics. 75, 161-193.
14. Doyle, J. D., D. R. Durran, B. A. Colle, C. Chen, M. Georgelin, V. Grubisic, W. R. Hsu, C. Y. Huang, D. Landau, Y. L. Lin, G. S. Poulos, W.Y.Sun, D. B. Weber, M. G. Wurtele, and M. Xue, 2000: An intercomparision of model predicted wave breaking for the 11 January 1972 Boulder Windstorm. Mon. Wea. Rev., 128, 901-914.
15. Gao, J., M. Xue, A. Shapiro, Q. Xu, and K. K. Droegemeier, 2001: Three-dimensional simple adjoint velocity retrievals from single Doppler radar, J. Atm. Ocean Tech., 18, 26-38.
16. Xue, M., and S. J. Lin, 2001: Numerical equivalence of advection in flux and advective forms and quadratically conservative high-order advection schemes. Mon. Wea. Rev., 129, 561-565.
17. Xue, M., K. K. Droegemeier, V. Wong, A. Shapiro, K. Brewster, F. Carr, D. Weber, Y. Liu, and D.-H. Wang, 2001: The Advanced Regional Prediction System (ARPS) - A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications. Meteor. Atmos. Physics. 76, 143-165.
18. Xue, M., 2002: Density currents in shear flows: Effects of rigid lid and cold-pool internal circulation, and application to squall line dynamics. Quart. J. Roy. Met. Soc., 128, 47-74.
19. Sharif, H. O., F. L. Ogden, W. F. Krajewski, and M. Xue, 2002: Numerical simulations of radar-rainfall error propagation. Water Resources Research, 38, 15-1 to 15-14.
20. Xue, M., D.-H. Wang, J.-D. Gao, K. Brewster, and K. K. Droegemeier, 2003: The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation. Meteor. Atmos. Physics, 82, 139-170.
21. Souto, M. J., C. F. Balseiro, V. Pérez-Muñuzuri, M. Xue, and K. Brewster, 2003: Importance of cloud analysis and impact for daily forecast in terms of climatology of Galician region, Spain. J. App. Meteor., 42, 129-140.
22. Gao, J.-D., M. Xue, K. Brewster, and K. K. Droegemeier, 2004: A three-dimensional variational data analysis method with recursive filter for Doppler radars. J. Atmos. Ocean. Tech., 21, 457-469.
23. Sharif, H. O., F. K. Ogden, W. F. Krajewski, and M. Xue, 2004: Statistical analysis of radar-rainfall error propagation, J. Hydrometeor., 5, 199-212.
24. Nutter, P., D. Stensrud, and M. Xue, 2004: Effects of coarsely-resolved and temporally-interpolated lateral boundary conditions on the dispersion of limitted-area ensemble forecasts, Mon. Wea. Rev., 132, 2358-2377.
25. Nutter, P., M. Xue, and D. Stensrud, 2004: Application of lateral boundary condition perturbations to help restore dispersion in limited area ensemble forecasts. Mon. Wea. Rev., 132, 2378-2390.
26. Ren, D. and M. Xue, 2004: An improved force-restore model for land-surface modeling, J. App. Meteor., 43, 1768-1782.
27. Ren, D., M. Xue, and A. Henderson-Sellers, 2004: The effects of hydraulic lift in simulating superficial soil moisture for vegetated surfaces under dry conditions. J. Hydrometero., 5, 1181-1191.
28. Tong, M. and M. Xue, 2005: Ensemble Kalman filter assimilation of Doppler radar data with a compressible nonhydrostatic model: OSSE Experiments. Mon. Wea. Rev., 133, 1789-1807.
29. Chow, F. K., R. L. Street, M. Xue, and J. H. Ferziger, 2005: Explicit filtering and reconstruction turbulence modeling for large-eddy simulation of neutral boundary layer flow. J. Atmos. Sci., 62, 2058-2077.
30. Xiao, Y., M. Xue, W. J. Martin, and J. Gao, 2005: Development of an adjoint for a complex atmospheric model, the ARPS, using TAF. In Automatic Differentiation: Applications, Theory, and Implementations, H. M. Bücker, G. F. Corliss, P. Hovland, U. Naumann, and B. Norris, Eds., Springer, 263-272.
31. Droegemeier, K. K., K. Brewster, M. Xue, D. Weber, D. Gannon, B. Plale, D. Reed, L. Ramakrishnan, J. Alameda, R. Wilhelmson, T. Baltzer, B. Domenico, D. Murray, M. Ramamurthy, A. Wilson, R. Clark, S. Yalda, S. Graves, R. Ramachandra, J. Rushing, E. Joseph, and V. Morris, 2005: Service-oriented environments for dynamically interacting with mesoscale weather. Computing in Science and Engineering, 7, 12-27.

2006

32. Xue, M. and W. Martin, 2006: A high-resolution modeling study of the 24 May 2002 case during IHOP. Part I: Numerical simulation and general evolution of the dryline and convection. Mon. Wea. Rev., 134, 149-171.
33. Xue, M. and W. Martin, 2006: A high-resolution modeling study of the 24 May 2002 case during IHOP. Part II: Horizontal convective rolls and convective initiation. Mon. Wea. Rev., 134, 172-191.
34. Martin, W. J. and M. Xue, 2006: Initial condition sensitivity analysis of a mesoscale forecast using very-large ensembles. Mon. Wea. Rev., 134, 192-207.
35. 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. Ocean Tech., 23, 46-66.
    
36. Chow, F. K., A. P. Weigel, R. L. Street, M. W. Rotach, and M. Xue, 2006: High-resolution large-eddy simulations of flow in a steep Alpine valley. Part I: Methodology, verification and sensitivity experiments. J. Appl. Meteor., 45, 63-86.
37. Weigel, A. P., F. K. Chow, M. W. Rotach, R. L. Street, and M. Xue, 2006: High-resolution large-eddy simulations of flow in a steep Alpine valley. Part II: Flow structure and heat budgets. J. Appl. Meteor., 45, 87-107.
38. Hu, M., M. Xue, and Keith Brewster, 2006: 3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of the Fort Worth tornadic thunderstorms. Part I: Cloud analysis and its impact. Mon. Wea. Rev., 134, 675-698.
39. Hu, M., M. Xue, J. Gao and K. Brewster, 2006: 3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of the Fort Worth tornadic thunderstorms. Part II: Impact of radial velocity analysis via 3DVAR. Mon. Wea. Rev., 134, 699-721.
40. 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.
41. Dawson, D. T., II and M. Xue, 2006: Numerical forecasts of the 15-16 June 2002 Southern Plains severe MCS: Impact of mesoscale data and cloud analysis. Mon. Wea. Rev., 134, 1607-1629.
42. Gao, J., K. Brewster, and M. Xue, 2006: A comparison of the radar ray path equations and approximations for use in radar data assimilation. Adv. Atmos. Sci., 32, 190-198.
43. Gao, J., M. Xue, S. Y. Lee, A. Shapiro, Q. Xu, K. K. Droegemeier, 2006:: A three-dimensional variational single-Doppler velocity retrieval method with simple conservation equation constraint. Meteo. Atmos. Phys., 94, 11-26.
44. Sheng, C., S. Gao, and M. Xue, 2006: Short-term prediction of a heavy precipitation event by assimilating Chinese CINRAD radar reflectivity data using complex cloud analysis. Meteor. Atmos. Phy., 94, 167-183.
45. Xu, Q., S. Liu, and M. Xue, 2006: Background error covariance functions for vector wind analysis using Doppler radar radial-velocity observations. Quart. J. Roy. Meteor. Soc., 132, 2887-2904.

2007

46. Hu, M. and M. Xue, 2007: Impact of configurations of rapid intermittent assimilation of WSR-88D radar data for the 8 May 2003 Oklahoma City tornadic thunderstorm case. Mon. Wea. Rev., 135, 507–525.
47. Xue, M., S. Liu, and T. Yu, 2007: Variational analysis of over-sampled dual-Doppler radial velocity data and application to the analysis of tornado circulations. J. Atmos. Ocean Tech., 24, 403–414.
48. Liu, S., M. Xue, and Q. Xu, 2007: Using wavelet analysis to detect tornadoes from Doppler radar radial-velocity observations. J. Atmos. Ocean Tech., 24, 344-359.
49. Liu, H., M. Xue, R. J. Purser, and D. F. Parrish, 2007: Retrieval of moisture from GPS slant-path water vapor observations using 3DVAR with isotropic and anisotropic recursive filters. Mon. Wea. Rev., 135, 1506–1521.
50. Chu, K., Z.-M. Tan, and M. Xue, 2007: Impact of four-dimensional variational assimilation of rainfall data on precpitation forecast of mesoscale convective systems in a meiyu heavy rainfall event. Adv. Atmos. Sci., 24, 281-300.
51. Hu, M. and M. Xue, 2007: Initializing convection using cloud analysis and radar data in grid-point statistical interpolation (GSI) system and impact on the forecast of advanced research WRF. Geophy. Res. Letters. 34, L07808, doi:10.1029/2006GL028847.
52. Xue, M., Y. Jung, and G. Zhang, 2007: Error modeling of simulated reflectivity observations for ensemble Kalman filter data assimilation of convective storms. Geophys. Res. Letters, 34, L10802, doi:10.1029/2007GL029945.
53. Limpasuvan, V., D. L. Wu, M. J. Alexander, M. Xue, M. Hu, S. Pawson, and J. R. Perkins, 2007: The ARPS stratospheric gravity wave simulation over Greenland during 24 January 2005. J. Geo. Res., 112, D10115, doi:10.1029/2006JD007823.
    
54. Xue, M., K. K. Droegemeier, and D. Weber, 2007: Numerical prediction of high-impact local weather: A driver for petascale computing. In Petascale Computing: Algorithms and Applications, D. Bader, Ed., Taylor & Francis.
55. 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. Ocean Tech., 24, 1973-1996.

2008

56. Cheong, B. L., R. D. Palmer, and M. Xue, 2008: A time-series weather radar simulator based on high-resolution atmospheric models. J. Atmos. Ocean. Tech., 25, 230-243.
57. Gao, J. and M. Xue, 2008: An efficient dual-resolution approach for ensemble data assimilation and tests with assimilated Doppler radar data. Mon. Wea. Rev., 136, 945-963.
58. Tong, M. and M. Xue, 2008: Simultaneous estimation of microphysical parameters and atmospheric state with radar data and ensemble Kalman filter. Part I: Sensitivity analysis and parameter identifiability. Mon. Wea. Rev., 136, 1630-1648.
59. Tong, M. and M. Xue, 2008: Simultaneous estimation of microphysical parameters and atmospheric state with radar data and ensemble Kalman filter. Part II: Parameter estimation experiments. Mon. Wea. Rev., 136, 1649-1668.
60. Gao, S., S. Yang, M. Xue, and C. Cui, 2008: The total deformation and its role in heavy precipitation events associated with deformation-dominant flow patterns. Adv. Atmos. Sci., 25, 11-23.
61. Jung, Y., G. Zhang, and M. Xue, 2008: Assimilation of simulated polarimetric radar data for a convective storm using ensemble Kalman filter. Part I: Observation operators for reflectivity and polarimetric variables. Mon. Wea. Rev., 136, 2228–2245.
62. Jung, Y., M. Xue, G. Zhang, and J. Straka, 2008: Assimilation of simulated polarimetric radar data for a convective storm using ensemble Kalman filter. Part II: Impact of polarimetric data on storm analysis. Mon. Wea. Rev., 136, 2246–2260.
    
63. Liu, H. and M. Xue, 2008: Prediction of convective initiation and storm evolution on 12 June 2002 during IHOP. Part I: Control simulation and sensitivity experiments. Mon. Wea. Rev., 136, 2261-2283.
64. Xu, Q., H. Lu, S. Gao, M. Xue, and M. Tong, 2008: Time-expanded sampling for ensemble Kalman filter: Assimilation experiments with simulated radar observations. Mon. Wea. Rev., 136, 2651-2667.
    
65. Gao, J., K. Brewster, and M. Xue, 2008: Variation of radio reflectivity with respect to moisture and temperature and influnce on radar ray path. Adv. Atmos. Sci., 1098-1106.
66. Tanamachi, R. L., W. Feltz, and M. Xue, 2008: Observations and numerical simulation of a water vapor oscillation event during the International H2O Project (IHOP_2002). Mon. Wea. Rev., 136, 3106-3120.
67. Snook, N. and M. Xue, 2008: Effects of microphysical drop size distribution on tornadogenesis in supercell thunderstorms. Geophy. Res. Letters, 35, L24803, doi:10.1029/2008GL035866.
    
68. Zhang, G., M. Xue, Q. Cao, and D. Dawson, 2008: Diagnosing the intercept parameter for exponential raindrop size distribution based on video disdrometer observations. J. Appl. Meteor. Climatol., 47, 2983-2992.

2009

69. Sheng, C., M. Xue, and S. Gao, 2009: The structure and evolution of sea breezes during Qingdao Olympics sailing test event in 2006. Adv. Atmos. Sci., 26, 132–142
70. Zhao, K. and M. Xue, 2009: Assimilation of coastal Doppler radar data with the ARPS 3DVAR and cloud analysis for the prediction of Hurricane Ike (2008). Geophy. Res. Letters, 36, L12803, doi:10.1029/2009GL038658.
71. Potvin, C. K., A. Shapiro, T.-Y. Yu, J. Gao, and M. Xue, 2009: Using a low-order model to characterize and detect tornadoes in multiple-Doppler radar data. Mon. Wea. Rev., 137, 1230–1249.
72. Dunning, T. H., Jr., K. Schulten, J. Tromp, J. P. Ostriker, K. K. Droegemeier, M. Xue, and P. Fussell, 2009: Science and engineering in the petascale era. Computing Sci. Engineering, 11, 28-36.
73. Xue, M., M. Tong, and G. Zhang, 2009: Simultaneous state estimation and attenuation correction for thunderstorms with radar data using an ensemble Kalman filter: Tests with simulated data. Quart. J. Royal Meteor. Soc., 135, 1409-1423.
74. Schwartz, C., J. Kain, S. Weiss, M. Xue, D. Bright, F. Kong, K. Thomas, J. Levit, and M. Coniglio, 2009: Next-day convection-allowing WRF model guidance: A second look at 2 vs. 4 km grid spacing. Mon. Wea. Rev., 137, 3351-3372.
    
75. Clark, A. J., W. A. Gallus, Jr., M. Xue, and F. Kong, 2009: A comparison of precipitation forecast skill between small convection-permitting and large convection-parameterizing ensembles. Wea. and Forecasting, 24, 1121-1140.
76. McLaughlin, D., D. Pepyne, V. Chandrasekar, B. Philips, J. Kurose, M. Zink, K. Droegemeier, S. Cruz-Pol, F. Junyent, J. Brotzge, D. Westbrook, N. Bharadwaj, Y. Wang, E. Lyons, K. Hondl, Y. Liu, E. Knapp, M. Xue, A. Hopf, K. Kloesel, A. DeFonzo, P. Kollias, K. Brewster, R. Contreras, B. Dolan, T. Djaferis, E. Insanic, S. Frasier, and F. Carr, 2009: Short-wavelength technology and the potential for distributed networks of small radar systems. Bull. Amer. Meteor. Soc.,Bull. Amer. Meteor. Soc., 90, 1797-1817.
77. Stensrud, D. J., M. Xue, L. J. Wicker, K. E. Kelleher, M. P. Foster, J. T. Schaefer, R. S. Schneider, S. G. Benjamin, S. S. Weygandt, J. T. Ferree, and J. P. Tuell, 2009: Convective-scale Warn on Forecast System: A vision for 2020. Bull. Am. Meteor. Soc., Bull. Am. Meteor. Soc., 90, 1487-1499.

2010

78. Lan, W., J. Zhu, M. Xue, J. Gao, and T. Lei, 2010: Storm-scale ensemble Kalman filter assimilation experiments with simulated Doppler radar data: Part I: The perfect model case. Chinese J. Atmos. Sci., 34(3), 640-652.
79. Lan, W., J. Zhu, M. Xue, T. Lei, and J. Gao, 2010: Storm-scale ensemble Kalman filter assimilation experiments with simulated Doppler radar data: Part II: The case with model error. Chinese J. Atmos. Sci., 34(4), 737-753.
80. 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.J. Appl. Meteor. Climatol., 49, 146-163.
81. Jung, Y., M. Xue, and G. Zhang, 2010: Simutaneous estimation of microphysical parameters and atmospheric state using simulated polarimetric radar data and an ensemble Kalman filter in the presence of an observation operator error. Mon. Wea. Rev., 138, 539–562.
82. Xue, M., Y. Jung, and G. Zhang, 2010: State estimation of convective storms with a two-moment microphysics scheme and an ensemble Kalman filter: Experiments with simulated radar data Q. J. Roy. Meteor. Soc, 136, 685-700.
83. Dawson, D. T., II, M. Xue, J. A. Milbrandt, and M. K. Yau, 2010: Comparison of evaporation and cold pool development between single-moment and multi-moment bulk microphysics schemes in idealized simulations of tornadic thunderstorms. Mon. Wea. Rev., 138, 1152-1171.
84. Ge, G., J. Gao, K. Brewster, and M. Xue, 2010: Impacts of beam broadening and earth curvature on 3D variational radar data assimilation radial velocity with two Doppler radars. J. Atmos. Ocean Tech., 27, 617-636.
85. Coniglio, M. C., K. L. Elmore, J. S. Kain, S. Weiss, and M. Xue, 2010: Evaluation of WRF model output for severe-weather forecasting from the 2008 NOAA Hazardous Weather Testbed Spring Experiment. Wea. Forecasting, 25, 408-427.
86. Schwartz, C. S., J. S. Kain, S. J. Weiss, M. Xue, D. R. Bright, F. Kong, K. W.Thomas, J. J. Levit, M. C. Coniglio, and M. S. Wandishin, 2010: Toward improved convection-allowing ensembles: model physics sensitivities and optimizing probabilistic guidance with small ensemble membership. Wea. Forecasting, 25, 263-280..
87. Clark, A. J., W. A. Gallus, M. Xue, and F. Kong, 2010: Growth of spread in convection-allowing and convection-parameterizing ensembles Wea. Forecasting, 25, 594-612..
88. Clark, A. J., W. A. Gallus, Jr., M. Xue, and F. Kong, 2010: Convection-allowing and convection-parameterizing ensemble forecasts of a mesoscale convective vortex and associated severe weather. Wea. Forecasting, 25, 1052-1081.
89. Kain, J. S., M. Xue, M. C. Coniglio, S. J. Weiss, F. Kong, T. L. Jensen, B. G. Brown, J. Gao, K. Brewster, K. W. Thomas, Y. Wang, C. S. Schwartz, and J. J. Levit, 2010: Assessing advances in the assimilation of radar data within a collaborative forecasting-research environment. Wea. Forecasting, 25, 1510-1521.
90. Srivastava, K., J. Gao, K. Brewster, S. K. R. Bhowmik, M. Xue, and R. Gadi, 2010: Assimilation of Indian radar data with ADAS and 3DVAR techniques for simulation of a small-scale tropical cyclone using ARPS model Natural hazards, DOI: 10.1007/s11069-010-9640-4.

2011

91. Schenkman, A., M. Xue, A. Shapiro, K. Brewster, and J. Gao, 2011: The analysis and prediction of the 8-9 May 2007 Oklahoma tornadic mesoscale convective system by assimilating WSR-88D and CASA radar data using 3DVAR. Mon. Wea. Rev., 139, 224-246.
92. Schenkman, A., M. Xue, A. Shapiro, K. Brewster, and J. Gao, 2011: Impact of CASA radar and Oklahoma mesonet data assimilation on the analysis and prediction of tornadic mesovortices in a MCS. Mon. Wea. Rev., 139, 3422-3445.
93. Dong, J., M. Xue, and K. K. Droegemeier, 2011: The analysis and impact of simulated high-resolution surface observations in addition to radar data for convective storms with an ensemble Kalman filter. Meteor. Atmos. Phy., 112, 41-61.
94. Clark, A. J., J. S. Kain, D. J. Stensrud, M. Xue, F. Kong, M. C. Coniglio, K. W. Thomas, Y. Wang, K. Brewster, J. Gao, X. Wang, S. J. Weiss, D. Bright, and J. Du, 2011: Probabilistic precipitation forecast skill as a function of ensemble size and spatial scale in a convection-allowing ensemble. Mon. Wea. Rev., 139, 1410-1418.
95. Johnson, A., X. Wang, F. Kong, and M. Xue, 2011: Hierarchical cluster analysis of a convection- allowing ensemble during the Hazardous Weather Testbed 2009 Spring Experiment. Part I: Development of the object-oriented cluster analysis method for precipitation fields. Mon. Wea. Rev., 139, 3673–3693.
96. Johnson, A., X. Wang, F. Kong, and M. Xue, 2011: Hierarchical cluster analysis of a convection- allowing ensemble during the Spring Experiment of the Hazardous Weather Testbed in 2009. Part II: Ensemble clustering over the whole experiment period. Mon. Wea. Rev., 139, 3694–3710.
97. Zhang, G., S. Luchs, A. V. Ryzhkov, M. Xue, L. Ryzhkova, and Q. Cao, 2011: Winter precipitation microphysics characterized by polarimetric radar and video disdrometer observations in central Oklahoma. J. Appl. Meteor. Climatol., 50, 1558-1570.
98. Limpasuvan, V., M. Alexander, Y. Orsolini, D. Wu, M. Xue, J. Richter, and C. Yamashita, 2011: Mesoscale simulations of gravity waves during the 2009 major stratospheric sudden warming. J. Geophy. Res., 116, D17104.
99. Snook, N., M. Xue, and J. Jung, 2011: Analysis of a tornadic mesoscale convective vortex based on ensemble Kalman filter assimilation of CASA X-band and WSR-88D radar data. Mon. Wea. Rev., 139, 3446-3468.
100. Bodine, D., Michaud, D., R. D. Palmer, P. L. Heinselman, J. Brotzge, N. Gasperoni, B. L. Cheong, M. Xue, and J. Gao, 2011: Understanding radar refractivity: Sources of uncertainty. J. Atmos. Ocean Tech., 50, 2543-2560.

2012

101. Potvin, C. K., A. Shapiro, and M. Xue, 2012: Impact of a vertical vorticity constraint in variational dual-Doppler wind analysis: Tests with real and simulated supercell data. J. Atmos. Ocean. Tech., 29, 32-49.
102. Zhao, K., M. Xue, and W.-C. Lee, 2012: Assimilation of GBVTD-retrieved winds from single-Doppler radar for short-term forecasting of Super Typhoon Saomai (0608) at landfall. Quart. J. Roy. Meteor. Soc., 138, 1055–1071.
103. Clark, A. J., S. J. Weiss, J. S. Kain, I. L. Jirak, M. Coniglio, C. J. Melick, C. Siewert, R. A. Sobash, P. T. Marsh, A. R. Dean, M. Xue, F. Kong, K. W. Thomas, Y. Wang, K. Brewster, J. Gao, X. Wang, J. Du, D. R. Novak, F. Barthold, M. J. Bodner, J. J. Levit, C. B. Entwistle, T. L. Jensen, and J. James Correia, 2012: An Overview of the 2010 Hazardous Weather Testbed Experimental Forecast Program Spring Experiment. Bull. Amer. Meteor. Sci., 93, 55-74.
104. Jung, Y., M. Xue, and M. Tong, 2012: Ensemble Kalman filter analyses of the 29-30 May 2004 Oklahoma tornadic thunderstorm using one- and two-moment bulk microphysics schemes, with verification against polarimetric radar data. Mon. Wea. Rev., 140, 1457-1475
105. Wang, Q.-W. and M. Xue, 2012: Convective initiation on 19 June 2002 during IHOP: High-resolution simulations and analysis of the mesoscale structures and convection initiations. J. Geophy. Res., 117, D12107.
106. Zhao, K., X. Li, M. Xue, B. J.-D. Jou, and W.-C. Lee, 2012: Short-term forecasting through intermittent assimilation of data from Taiwan and Mainland China coastal radars for typhoon Meranti (2010) at landfall. J. Geophy. Res., 117, D06108.
     
107. Snook, N., M. Xue, and J. Jung, 2012: Ensemble probabilistic forecasts of a tornadic mesoscale convective system from ensemble Kalman filter analyses using WSR-88D and CASA radar data. Mon. Wea. Rev., 140, 2126–2146.
108. Lei, L., G. Zhang, R. J. Doviak, R. D. Palmer, B. L. Cheong, M. Xue, Q. Cao, and Y. Li, 2012: Multi-lag correlation estimators for polarimetric radar measurements in the presence of noise. J. Atmos. Ocean Tech., 29, 772-795.
109. Berenguer, M., M. Surcel, I. Zawadzki, M. Xue, and F. Kong, 2012: The diurnal cycle of precipitation from continental radar mosaics and numerical weather prediction models. Part II: Intercomparison between numerical models and with nowcasting. Mon. Wea. Rev., 140, 2689-2705.
110. Wang, M., K. Zhao, W.-C. Lee, B. J.-D. Jou, and M. Xue, 2012: The gradient velocity track display (GrVTD) technique for retrieving tropical cyclone primary circulation from aliased velocities measured by single Doppler radar J. Atmos. Ocean. Tech., 29, 1026-1041.
111. Schenkman, A., M. Xue, and A. Shapiro, 2012: Tornadogenesis in a simulated mesovortex within a real-data-initialized mesoscale convective system. J. Atmos. Sci., 69, 3372-3390.
112. Li, Y., X. Wang, and M. Xue, 2012: Assimilation of radar radial velocity data with the WRF ensemble-3DVAR hybrid system for the prediction of hurricane Ike (2008). Mon. Wea. Rev., 140, 3507-3524.
113. Du, N., M. Xue, K. Zhao, and J. Min, 2012: Impact of assimilating airborne Doppler radar velocity data using the ARPS 3DVAR on the analysis and prediction of hurricane Ike (2008). J. Geophy. Res., 117, D18113.
114. Gagne, D. J., II, A. McGovern, and M. Xue, 2012: Machine learning enhancement of storm scale ensemble precipitation forecasts. Conference on Intelligent Data Understanding (CIDU 2012) 8pp (referred conference paper).
     
115. Ge, G., J. Gao, M. Xue, and K. K. Droegemeier, 2012: Diagnostic pressure equation as a weak constraint in a storm-scale three dimensional variational radar data assimilation system. J. Atmos. Ocean. Tech., 29, 1075-1092.
116. Clark, A. J., J. S. Kain, P. T. Marsh, J. Correia, Jr., M. Xue, and F. Kong, 2012: Forecasting tornado pathlengths using a three-dimensional object identification algorithm applied to convection-allowing forecasts. Wea. Forecasting, 27, 1090-1113.
117. Xu, X., Y. Wang, and M. Xue, 2012: Momentum flux and flux divergence of gravity waves in directional shear flows over three-dimensional mountains. J. Atmos. Sci., 69, 3733-3744.

2013

118. Cao, Q., G. Zhang, and M. Xue, 2013: A variational approach for retrieving raindrop size distribution from polarimetric radar measurements in the presence of attenuation. J. Appl. Meteor. Climatology, 52, 169-185.
119. Dong, J. and M. Xue, 2013: Assimilation of radial velocity and reflectivity data from coastal WSR-88D radars using ensemble Kalman filter for the analysis and forecast of landfalling hurricane Ike (2008). Quart. J. Roy. Meteor. Soc., 139, 467-487.
120. Hall, J. D., M. Xue, L. Ran and Lance M. Leslie, 2013: High-resolution modeling of typhoon Morakot (2009): Vortex Rossby waves and their role in extreme precipitation over Taiwan. J. Atmos. Sci., 70, 163-186.
121. Tanamachi, R. L., L. J. Wicker, D. C. Dowell, H. B. Bluestein, and M. Xue, 2013: EnKF assimilation of high-resolution, mobile Doppler radar data of the 4 May 2007 Greensburg, Kansas, supercell into a numerical cloud model. Mon. Wea. Rev., 141, 625-648.
122. Lee, J.-G. and M. Xue, 2013: A Study on a snowband associated with a coastal front and cold-air damming event of 3-4 February 1998 along the eastern coast of the Korean peninsula. Adv. Atmos. Sci., 30, 263-279.
123. Shimose, K.., M. Xue, R. D. Palmer, J. Gao, B. L. Cheong, and D. J. Bodine, 2013: Two-dimensional variational analysis of near-surface moisture from simulated radar refractivity-related phase change observations. Adv. Atmos. Sci., 30, 291-305..
124. Stensrud, D. J., L. J. Wicker, M. Xue, D. Dawson, N. Yussouf, D. Wheatley, T. E. Thompson, N. A. Snook, T. M. Smith, A. D. Schenkman, C. K. Potvin, E. R. Mansell, T. Lei, K. M. Kuhlman, Y. Jung, T. A. Jones, J. Gao, M. C. Coniglio, H. E. Brooks, and K. A. Brewster, 2013: Progress and challenges with Warn-on-Forecast. Atmos. Res., 123, 2-16.
125. Wang, S., M. Xue, and J. Min, 2013: A four-dimensional asynchronous ensemble square-root filter (4DEnSRF) and tests with simulated radar data. Quart. J. Roy. Meteor. Soc., 139, 805–819.
126. Wang, S., M. Xue, A. D. Schenkman, and J. Min, 2013: An iterative ensemble square root filter and tests with simulated radar data for storm scale data assimilation. Quart. J. Roy. Meteor. Soc., 139, 1888-1903.
127. Stratman, D. R., M. C. Coniglio, S. E. Koch, and M. Xue, 2013: Use of multiple verification methods to evaluate forecasts of convection from hot- and cold-start convection-allowing models. Wea. Forecasting, 28, 119-138.
128. Clark, A. J., J. Gao, P. T. Marsh, T. Smith, J. S. Kain, J. Correia, Jr., M. Xue, and F. Kong, 2013: Tornado path length forecasts from 2010-2011 using ensemble updraft helicity. Wea. Forecasting, 28, 387–407.
129. Xue, M., and J. Dong, 2013:, Impact of assimilating best track minimum sea level pressure data together with coastal Doppler radar data on hurricane analysis and prediction at a cloud-resolving resolution, Acta Meteorologica Sinica, 27, 379-399.
130. Ge, G., J. Gao, and M. Xue, 2013: Impacts of assimilating measurements of different sate variables on the analysis and forecast of a supercell storm using three dimensional variational method. Mon. Wea. Rev., 141, 2759-2777.
131. Schumacher, R. S., A. J. Clark, M. Xue and F. Kong, 2013: Factors influencing the development and maintenance of nocturnal heavy-rain-producing convective systems in a storm-scale ensemble. Mon. Wea. Rev., 141, 2778-2801.
132. Wang, Y., Y. Jung, T. A. Supinie, and M. Xue, 2013: A hybrid MPI-OpenMP parallel algorithm and performance analysis for an ensemble square root filter suitable for dense observations. J. Atmos. Ocean. Tech., 30, 1382-1397.
133. Gao, J., T. T. Smith, D. J. Stensrud, C. Fu, K. Calhoun, K. L. Manross, J. Brogdon, V. Lakshmanan, Y. Wang, K. W. Thomas, K. Brewster, and M. Xue, 2013: A realtime weather-adaptive 3DVAR analysis system for severe weather detections and warnings. Wea. Forecasting, 28, 727-745.
134. Hu, X.-M., P. M. Klein, M. Xue, J. K. Lundquist, and F. Zhang, 2013: Impact of low-level jets on the ncturnal urban heat island intensity in Oklahoma City. J. Appl. Meteor. Climatol., 52, 1779-1802.
135. Xu, X., Xue M., and Wang Y., 2013: Gravity wave momentum flux in directional shear flows over three-dimensional mountains: Linear and nonlinear numerical solutions as compared to linear analytical solutions. J. Geophy. Res., 118, 7670–7681.
136. Kain, J. S., M. C. Coniglio, J. Correia, A. J. Clark, P. T. Marsh, C. L. Ziegler, V. Lakshmanan, S. D. Miller, S. R. Dembek, S. J. Weiss, F. Kong, M. Xue, R. A. Sobash, A. R. Dean, I. L. Jirak, and C. J. Melick, 2013: A feasibility study for probabilistic convection initiation forecasts based on explicit numerical guidance. Bull. Amer. Meteor. Soc., 94, 1213-1225.
137. Zhu, K., Y. Pan, M. Xue, X. Wang, J. S. Whitaker, S. G. Benjamin, S. S. Weygandt, and M. Hu, 2013: A regional GSI-based EnKF system for the Rapid Refresh configuration: Results with a single, reduced resolution. Mon. Wea. Rev., 141, 4118-4139.
138. Johnson, A., X. Wang, F. Kong, and M. Xue, 2013: Object-based evaluation of the impact of horizontal grid spacing on storm-scale forecasts. Mon. Wea. Rev., 141, 3413-3425.
139. Tanamachi, R. L., H. B. Bluestein, M. Xue, W.-C. Lee, K. A. Orzel, S. J. Frasier, and R. M. Wakimoto, 2013: Near-surface vortex structure in a tornado and a tornado-like vortex observed by a mobile, W-band radar during VORTEX2. Mon. Wea. Rev., 141, 3661-3690.
140. Gasperoni, N. A., M. Xue, R. D. Palmer, and J. Gao, 2013: Sensitivity of convective initiation prediction to near-surface moisture when assimilating radar refractivity: Impact tests using OSSEs. J. Atmos. Ocean. Tech., 30, 2281–2302.
141. Hu, X.-M., P. M. Klein, M. Xue, F. Zhang, D. C. Doughty, and J. D. Fuentes, 2013: Impact of the vertical mixing-induced by low-level jet on boundary layer ozone concentration. Atmos. Environment, 70, 123-130.
142. Hu, X.-M., P. M. Klein, and M. Xue, 2013: Evaluation of the updated YSU Planetary Boundary Layer Scheme within WRF for Wind Resource and Air Quality Assessments. J. Geophy. Res., 118, 10490–10505.
143. Hu, X.-M., P. Klein , M. Xue , A. Shapiro, A.Nallapareddy, 2013: Enhanced vertical mixing associated with a nocturnal cold front passage and its impact on near-surface temperature and ozone concentration. J. Geophy. Res., 118, 2714–2728.
144. Li, X., J. Ming, Y. Wang, K. Zhao, and M. Xue, 2013: Assimilation of T-TREC-retrieved wind data with WRF 3DVAR for the short-term forecasting of typhoon Meranti (2010) near landfall. J. Geophy. Res., 118, 10361–10375.
145. Xue, M., J. Schleif, F. Kong, K. K. Thomas, Y. Wang, and K. Zhu, 2013: Track and intensity forecasting of Hurricanes: Impact of cloud-resolving resolution and ensemble Kalman filter data assimilation on 2010 Atlantic season forecasts. Wea. Forecasting, 28, 1366-1384.
146. Chen, X., K. Zhao, W.-C. Lee, B. J.-D. Jou, and M. Xue, P. R. Harasti, 2013: The improvement to the environment wind and tropical cyclone circulation retrievals with modified GBVTD (MGBVTD) technique. J. App. Meteor. Clim., 52, 2493-2508.
147. Dawson, D. T., II, L. J. Wicker, E. R. Mansell, Y. Jung, and M. Xue, 2013: Low-level polarimetric radar signatures in EnKF analyses and forecasts of the 8 May 2003 Oklahoma City tornadic supercell: Impact of multi-moment microphysics and comparisons with observations. Adv. Meteor., 2013, http://dx.doi.org/10.1155/2013/818394.
148. Ge, G., J. Gao, and M. Xue, 2013: Impact of diagnostic pressure equation constraint on the prediction of tornadic supercell thunderstorms with assimilation of radar data using a three-dimensional variational system. Adv. Meteor., 2013, http://dx.doi.org/10.1155/2013/947874.
149. Gao, J., M. Xue, and D. J. Stensrud, 2013: The development of a hybrid-3DVAR algorithm for storm-scale data assimilation. Adv. Meteor., 2013, http://dx.doi.org/10.1155/2013/512656.
150. Natenberg, E., J. Gao, M. Xue, and F. H. Carr, 2013: Analysis and Forecast of a Tornadic Thunderstorm Using Multiple Doppler Radar Data, 3DVAR, and ARPS Model. Adv. Meteor., 2013, Article ID 281695, doi:10.1155/2013/281695.
151. Xue, M., F. Kong, K. W. Thomas, J. Gao, Y. Wang, K. A. Brewster, and K. K. Droegemeier, 2013: Prediction of convective storms at convection-resolving 1 km resolution over continental United States with radar data assimilation: An example case of 26 May 2008 and precipitation forecasts from spring 2009. Adv. Meteor., 2013, Article ID 259052, doi:10.1155/2013/259052.

2014

152. Putnam, B. J., M. Xue, Y. Jung, N. A. Snook, and G. Zhang, 2014: The analysis and prediction of microphysical states and polarimetric variables in a mesoscale convective system using double-moment microphysics, multi-network radar data, and the ensemble Kalman filter. Mon. Wea. Rev., 142, 141-162.
153. Cintineo, R., J. A. Otkin, M. Xue, and F. Kong, 2014: Evaluating the performance of planetary boundary layer and cloud microphysical parameterization schemes in a convection-permitting ensemble using synthetic GOES-13 satellite observations. Mon. Wea. Rev., 142, 163-182.
154. Schenkman, A. D., M. Xue, and M. Hu, 2014: Tornadogenesis in a high-resolution simulation of the 8 May 2003 Oklahoma City Supercell. J. Atmos. Sci., 71, 130-154.
155. Dawson, D. T., II, E. R. Mansell, Y. Jung, L. J. Wicker, M. R. Kumjian, and M. Xue, 2014: Low-level ZDR signatures in supercell forward flanks: The role of size sorting and melting of hail. J. Atmos. Sci., 71, 276-299.
156. Xue, M., M. Hu, and A. Schenkman, 2014: Numerical prediction of 8 May 2003 Oklahoma City tornadic supercell and embedded tornado using ARPS with assimilation of WSR-88D radar data. Wea. Forecasting, 29, 39-62.
157. Klein, P. M., X.-M. Hu, and M. Xue, 2014: Impacts of mixing processes in nocturnal atmospheric boundary layer on urban ozone concentrations. Bound. Layer. Meteor., 150, 107-130.
158. Johnson, A., X. Wang, M. Xue, F. Kong, G. Zhao, Y. Wang, K. Thomas, K. Brewster, and J. Gao, 2014: Multiscale characteristics and evolution of perturbations for warm season convection-allowing precipitation forecasts: Dependence on background flow and method of perturbation. Mon. Wea. Rev., 142, 1053-1073.
159. Sun, J., M. Xue, J. W. Wilson, I. Zawadzki, J. Onvlee-Hooimeyer, S. P. Ballard, P. Joe, D. Barker, P.-H. Lee, B. Golding, M. Xu, and J. Pinto, 2014: Use of NWP for nowcasting precipitation: Recent progress and challenges. Bull. Amer. Meteor. Soc., 95, 409-426.
160. Wang, M., M. Xue, K. Zhao, and J. Dong, 2014: Assimilation of T-TREC-retrieved winds from single-Doppler radar with an EnKF for the forecast of Typhoon Jangmi (2008), Mon. Wea. Rev., 142, 1892-1907.
161. Clark, A. J., R. G. Bullock, T. L. Jensen, M. Xue, and F. Kong, 2014: Application of object-based time-domain diagnostics for tacking precipitation systems in convection-allowing models. Wea. and Forecasting, 29, 517-542.
162. Duda, J. D., X. Wang, F. Kong, and M. Xue, 2014: Using varied microphysics to account for uncertainty in warm-season QPF in a convection-allowing ensemble. Mon. Wea. Rev., 142, 2198-2219
163. Jiang, X., H. Yuan, M. Xue, X. Chen, and X. Tan, 2014: Analysis of a heavy rainfall event over Beijing on July 21-22, 2012 based on high resolution model analysis and forecasts. J. Meteor. Res. 28, 199-212.
164. Gagne, D. J., II, A. McGovern, and M. Xue, 2014: Machine learning enhancement of storm scale ensemble probabilisic quantitative precipitation forecasts. Mon. Wea. Rev., 29, 1024–1043.
165. Mahale, V. N., G. Zhang, and M. Xue, 2014: Fuzzy logic classification of S-band polarimetric radar echoes to identify three-body scattering and improve data quality, J. Appl. Meteor. Clim., 53, 2017-2033 .
166. Pan, Y., K. Zhu, M. Xue, X. Wang, M. Hu, S. G. Benjamin, S. S. Weygandt, and J. S. Whitaker, 2014: A regional GSI-based EnKF-variational hybrid data assimilation system for the Rapid Refresh configuration: Results with a single, reduced resolution. Mon. Wea. Rev., 142, 3756-3780.
167. Wainwright, C. E., D. T. Dawson, II, M. Xue, and G. Zhang, 2014: Diagnosing the intercept parameters of the exponential drop size distributions in a single-moment microphysics scheme and impact on supercell storm simulations. J. Appl. Meteor. Climatology, 53, 2072-2090.
168. Chen, X.-C., K. Zhao, and M. Xue, 2014: Spatial and temporal characteristics of warm season convection over Pearl River Delta region, China based on three years of operational radar data. J. Geophy. Res., 119, 12447-12465.
169. Hu, X.-M., Z.-Q. Ma, W.-L. Lin, H.-L. Zhang, J.-L. Hu, Y. Wang, X.-B. Xu, J. D. Fuentes, and M. Xue, 2014: Impact of the Loess Plateau on the atmospheric boundary layer structure and air quality in the North China Plain: A case study. Sci. Total Env., 499, 228-237.

2015

170. Clark, A., M. C. Coniglio, B. Coffer, G. Thompson, M. Xue, and F. Kong, 2015: Sensitivity of 24 h forecast dryline position and structure to boundary layer parameterizations in convection-allowing WRF model simulations. Wea. Forecasting, 30, 613-638.
171. Snook, N. A., M. Xue, and Y. Jung, 2015: Multi-scale EnKF assimilation of radar and conventional observations and ensemble forecasting for a tornadic mesoscale convective system. Mon. Wea Rev., 143, 1035-1057.
172. Wang, G., W.-K. Wong, Y. Hong, L. Liu, J. Dong, and M. Xue, 2015: Improvement of forecast skill for severe weather by merging radar-based extrapolation and storm-scale NWP corrected forecast. Atmos. Res., 154, 14-24.
173. Dahl, N., H. Xue, X. Hu, and M. Xue, 2015: Coupled fire-atmosphere modeling of wildfire Spread using DEVS-FIRE and ARPS. Natural Hazards, 77, 1013-1035.
174. Xu, X., M. Xue, and Y. Wang, 2015: Mesovortices within the 8 May 2009 bow echo over central US: Analyses of the characteristics and evolution based on Doppler radar observations and a high-resolution model simulation. Mon. Wea. Rev., 143, 2266-2290.
175. Xu, X., M. Xue, and Y. Wang, 2015: The genesis of mesovortices within a real data simulation of a bow echo system. J. Atmos. Sci., 72, 1963-1986.
176. Dawson, D. T., II, M. Xue, A. Shapiro, and J. A. Milbrandt, 2015: Sensitivity of real-data simulations of the 3 May 1999 Oklahoma City tornadic supercell and associated tornadoes to multi-moment microphysics. Part I: Storm- and tornado-scale numerical forecasts. Mon. Wea. Rev., 143, 2241-2265.
177. Zhu, K., Y. Yang, and M. Xue, 2015: Percentile-based neighborhood precipitation verification and its application to a landfalling tropical storm case with radar data assimilation. Adv. Atmos. Sci., 32, 1449–1459.
178. Li, X., J. Ming, M. Xue, Y. Wang, and K. Zhao, 2015: Implementation of a dynamic equation constraint based on the steady state moment equations within the WRF hybrid ensemble-3DVar data assimilation system and test with radar T-TREC wind assimilation for tropical cyclone J. Geophy. Res., 120, 4017-4039.
179. Miao, Y., X.-M. Hu, S. Liu, T. Qian, M. Xue, Y. Zheng, and S. Wang, 2015: Seasonal variation of local atmospheric circulations and boundary layer structure in the Beijing-Tianjin-Hebei region and implications for air quality. J. Adv. Modeling Earth Systems, 7, 1602–1626.
180. Chen, X.-C., K. Zhao, M. Xue, B. Zhou, and W. Xu, 2015: Radar observed diurnal cycle and propagation of convection over the Pearl River Delta during Mei-Yu season. J. Geophy. Res., 120, 12557-12575.

2016

181. Schenkman, A. D., M. Xue, and D. T. Dawson, II, 2016: The cause of internal outflow surges in a high-resolution simulation of the 8 May 2003 Oklahoma City tornadic supercell. J. Atmos. Sci., 73，353-370.
182. Supinie, T. A., Y. Jung, M. Xue, D. J. Stensrud, M. M. French, and H. B. Bluestein, 2016: Impact of VORTEX2 observations on analyses and forecasts of the 5 June 2009 Goshen County, Wyoming, supercell. Mon. Wea. Rev., 144, 429–449.
183. Pan, Y., M. Xue, and G. Ge, 2016: Incorporating diagnosed intercept parameters and the graupel category within the ARPS cloud analysis system for the initialization of double-moment microphysics with the assimilation of reflectivity data and testing with a squall line over south China Mon. Wea. Rev., 144, 371-392.
184. Liu, C. and M. Xue, 2016: Relationships among four-dimensional hybrid ensemble-variational aata assimilation algorithms with full and approximate ensemble covariance localization. Mon. Wea. Rev., 144, 591-606.
185. Schenkman, A. D. and M. Xue, 2016: Bow-echo mesovortices: A review. Atmos. Res., 170, 1-13.
186. Dawson, D. T., II, M. Xue, A. Shapiro, J. A. Milbrandt, and A. D. Schenkman, 2016: Sensitivity of real-data simulations of the 3 May 1999 Oklahoma City tornadic supercell and associated tornadoes to multi-moment microphysics. Part II: Analysis of buoyancy and dynamic pressure forces in simulated tornado-like vortices. J. Atmos. Sci., 73, 1039-1061.
187. Johnson, M., Y. Jung, D. Dawson, and M. Xue, 2016: Comparison of simulated polarimetric signatures in idealized supercell storms using two-moment bulk microphysics schemes in WRF. Mon. Wea. Rev., 144, 971–996.
188. Klein, P. M., X.-H. Hu, A. Shapiro, M. Xue, 2016: Linkages between boundary-layer structure and the development of nocturnal low-level jets in central Oklahoma. Boundary Layer Meteor., 158,https://doi.org/10.1007/s10546-015-0097-6383-408.
189. Wang, M., M. Xue, and K. Zhao, 2016: The impact of T-TREC-retrieved wind and radial velocity data assimilation using EnKF and effects of assimilation window on the analysis and prediction of Typhoon Jangmi (2008) . J. Geophy. Res., 121, 259-277.
190. Meng, Z., D. Yao, L. Bai, Y. Zheng, M. Xue, X. Zhang, K. Zhao, F. Tian, and M. Wang, 2016: Wind Estimation around the Shipwreck of Oriental Star based on Field Damage Surveys and Radar Observations. Sci. Bull., 61, 330-337.
191. Zheng, Y., F. Tian, Z. Meng, M. Xue, D. Yao, L. Bai, X. Zhou, X. Mao, M. Wang, 2016: Survey and multi-scale characteristics of wind damage caused by convective storms in the surrounding areas of the capsizing accident of cruise ship "Dong Fang Zhi Xing", Meteorology (in Chinese), 42, 1-13.
192. Hu, X. and M. Xue, 2016: Influence of synoptic sea breeze fronts on the urban heat island intensity in Dallas-Fort Worth, Texas. Mon. Wea. Rev., 144, 1487-1507.
193. Hu, X.-M., M. Xue, P. M. Klein, B. G. Illston, and S. Chen, 2016: Analysis of urban effects in Oklahoma City using a dense surface observing network. J. Appl. Meteor. Climatol, 55, 723-741.
194. Iyer, E. R., A. Clark, M. Xue, and F. Kong, 2016: A comparison of 36-60 hour precipitation forecasts from convection-allowing and convection-parameterizing ensembles. Wea. Forecasting, 31, 647-661.
195. Wen, L., K. Zhao, G. Zhang, M. Xue, B. Zhou, S. Liu, and X. Chen, 2016: Statistical characteristics of raindrop size distributions observed in east China during the Asian summer monsoon season from the 2D-video disdrometer and micro-rain radar. J. Geophy. Res., 121, 2265–2282.
196. Duda, J. D., X. Wang, F. Kong, M. Xue and Judith Berner, 2016: Impact of a stochastic kinetic energy backscatter scheme on warm season convection-allowing ensemble forecasts. Mon. Wea Rev., 144, 1887-1908.
197. Byrd, A. D., I. R. Ivic, R. D. Palmer, B. M. Isom, B. L. Cheong, A. Schenkman, and M. Xue, 2016: A weather radar simulator for the evaluation of polarimetric phased array performance. IEEE Trans. Geosci. Remote Sensing, 54, 4178-4189.
198. Snook, N., Y. Jung, J. Brotzge, B. Putnam, and M. Xue, 2016: Prediction and ensemble forecast verification of hail in the supercell storms of 20 May 2013. Wea. Forecasting, Wea. Forecasting, 31, 811-825.
199. Roberts, B., M. Xue, A. D. Schenkman, and I. Daniel T. Dawson, 2016: The role of surface friction in tornadogenesis within an idealized supercell simulation. J. Atmos. Sci., 73, 3371–3395.
200. Hu, X.-M., X. Li, M. Xue, D. Wu, and J. D. Fuentes, 2016: The formation of barrier winds east of the Loess Plateau and their effects on the dispersion conditions in the North China plains. Bound. Layer Meteor.,  161, 145–163.
201. Ren, D. and M. Xue, 2016: Retrieval of land surface model state variables through assimilating screen-level atmospheric humidity and temperature measurements. Adv. Meteor., DOI: 10.1155/2016/1905076.
202. Dahl, N. and M. Xue, 2016: Prediction of the 14 June 2010 Oklahoma City extreme precipitation and flooding event in a multi-physics multi-Initial condition storm scale ensemble forecasting system Wea. Forecasting, 31, 1215–1246.
203. Wang, Q., M. Xue, and Z. Tan, 2016: Convective initiation by topographically induced convergence forcing over Dabie Mountains on 24 June 2010. Adv. Atmos. Sci., 33, 1120-1136.
204. Xue, M., 2016: Preface to the Special Issue on the "Observation, Prediction and Analysis of severe Convection of China" (OPACC) National "973" Project. Adv. Atmos. Sci., 33, 1099-1101.
205. Zheng, Y., M. Xue, J. Chen, B. Li, and Z. Tao, 2016: Spatial Characteristics of Extreme Rainfall over China with Hourly through 24-Hour Accumulation Periods Based on National-Level Hourly Rain Gauge Data. Adv. Atmos. Sci. 33, 1218-1232.
206. Zhu, K. and M. Xue, 2016: Evaluation of WRF-based Convection-Permitting Multi-Physics Ensemble Forecasts over China for the July 21, 2012 Beijing Extreme Rainfall Event. Adv. Atmos. Sci., 33, 1240-1258.
207. Xue, M., K. Zhao, M. J. Wang, Z. H. Li, Y. G. Zheng, 2016: Recent significant tornadoes in China. Adv. Atmos. Sci., 33, 1209-1217.
208. Wang, M., M. Xue, and K. Zhao, 2016: An investigation on how inner-core structures obtained through radar data assimilation affect track forecasting of typhoon Jangmi (2008) near Taiwan Island. J. Geophy. Res., 121, 10601-10616.
209. Wang, M., K. Zhao, M. Xue, G. Zhang, S. Liu, L. Wen, and G. Chen, 2016: Precipitation Microphysics Characteristics of a Typhoon Matmo (2014) Rainband after Landfall over Eastern China based on Polarimetric Radar Observations. J. Geophy. Res., 121, 12,415-12,433.
210. Mahale, V. N., G. Zhang, and M. Xue, 2016: Characterization of the 14 June 2011 Norman, Oklahoma, downburst through dual-polarization radar observations and hydrometeor classification. J. Appl. Meteor. Climatol., 55, 2635-2655.
211. Sun, X., M. Xue, J. Brotzge, R. McPherson, X.-M. Hu, and X.Q. Yang, 2016: An Evaluation of Dynamical Downscaling of Central Plains Summer Precipitation using a WRF-Based Regional Climate Model at a Convection-Permitting 4 km Resolution. J. Geophy. Res., 121, 13801-13826.

2017

212. Xu, X., M. Xue, Y. Wang, and H. Huang, 2017: Mechanisms of secondary convection within a mei-yu frontal mesoscale convective system in eastern China. J. Geophy. Res., 122, 47–64.
213. Xu, X., J. Song, Y. Wang, and M. Xue, 2017: Quantifying the effect of horizontal propagation of three-dimensional mountain waves on the wave momentum flux using Gaussian beam approximation. J. Atmos. Sci., 74, 1783–1798.
214. Putnam, B. J., M. Xue, Y. Jung, G. Zhang, and F. Kong, 2017: Simulation of polarimetric radar variables from 2013 CAPS spring experiment storm scale ensemble forecasts and evaluation of microphysics schemes. Mon. Wea. Rev., 145, 46-73.
215. Putnam, B. J., M. Xue, Y. Jung, N. A. Snook, and G. Zhang, 2017: Ensemble probabilistic prediction of a mesoscale convective system and associated polarimetric radar variables using single-moment and double-moment microphysics schemes and EnKF radar data assimilation. Mon. Wea. Rev., 145, 2257–2279.
216. Roberts, B. and M. Xue, 2017: The role of surface drag in mesocyclone intensification leading to tornadogenesis within an idealized supercell simulation. J. Atmos. Sci., 74, 3055-3077.
217. Zhao, K., M. Wang;, M. Xue, P. Fu, Z. Yang, Y. Zhang, W.-C. Lee, F. Zhang, Q. Lin, and Z. Li, 2017: Doppler radar analysis of a tornadic miniature supercell during the Landfall of Typhoon Mujigae (2015) in South China. Bull. Amer. Meteor. Soc.,  98, 1821–1831.
218. Surcel, M., I. Zawadzki, M. K. Yau, M. Xue, and F. Kong, 2017: More on the scale-dependence of the predictability of precipitation patterns: Extension to the 2009-2013 CAPS Spring Experiment ensemble forecasts. Mon. Wea. Rev., 145, 3625–3646.
219. Duda, J., X. Wang, and M. Xue, 2017: Sensitivity of Convection-Allowing Forecasts to Land-Surface Model Perturbations and Implications for Ensemble Design. Mon. Wea. Rev., 145, 2001–2025.
220. Supinie, T. A., N. Yussouf, J. Cheng, Y. Jung, M. Xue, and S. Wang, 2017: Comparison of the analyses and forecasts of a tornadic supercell storm from assimilating phased array radar and WSR-88D observations Wea. Forecasting, 32, 1379–1401.
221. Zhou, B., K. Zhu, and M. Xue, 2017: A Physically-based horizontal subgrid-scale turbulent mixing parameterization for the convective boundary layer. J. Atmos. Sci., 74，2657–2674.
222. Zhou, B., M. Xue, and K. Zhu, 2017: A Grid-Refinement-Based Approach to Modeling the Convective Boundary Layer in the Gray Zone: A pilot study. J. Atmos. Sci., 74, 3497-3513.
223. Luo, L., M. Xue, K. Zhu, and B. Zhou, 2017: Explicit prediction of hail in a hailstorm of 19 March 2014 in eastern China using multi-moment microphysics schemes. J. Geophy. Res.,  122，7560–7581.
224. Loken, E., A. Clark, M. Xue; F. Kong, 2017: Impact of Horizontal Resolution on CAM-Derived Next-Day Probabilistic Severe Weather Forecasts, Wea. Forecasting, 32, 1403–1421.
225. Gallo, B. T., A. J. Clark, I. Jirak, J. S. Kain, S. J. Weiss, M. Coniglio, K. Knopfmeier, J. C. Jr., C. J. Melick, E. Iyer, A. R. Dean, M. Xue, F. Kong, Y. Jung, F. Shen, K. W. Thomas, K. Brewster, D. Stratman, G. Carbin, W. Line, R. Adams-Selin, and S. Willington, 2017: Breaking New Ground in Severe Weather Prediction: The 2015 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment. Wea. Forecasting, 32, 1541–1568.
226. Gagne, D. J., II, A. McGovern, S. E. Haupt, R. Sobash, J. K. Williams, and M. Xue, 2017: Storm-Based Probabilistic Hail Forecasting with Machine Learning Applied to Convection-Allowing Ensembles. Weather Forecasting, 32, 1819–1840.
227. Shen, F., M. Xue, and J. Min, 2017: A comparison of the limited-area 3DVAR and Hybrid ETKF-En3DVAR data assimilation using radar observations at convective-scale for the prediction of Typhoon Saomai (2006), Meteor. Apps., 24,  628-641.
228. Hu, X.-M., M. Xue, and R. A. McPherson, 2017: The importance of soil type contrast in modulating August precipitation distribution near the Edwards Plateau and Balcones Escarpment in Texas. J. Geophy. Res., 122, 10711–10728.
229. Labriola, J., N. Snook, Y. Jung, B. Putnam, and M. Xue, 2017: Ensemble hail prediction for the storms of 10 May 2010 in south-central Oklahoma using single- and double-moment microphysical schemes Mon. Wea. Rev., 145, 4911-4936.
230. Xu, X., Y. Wang, M. Xue, and K. Zhu, 2017: Impacts of horizontal propagation of orographic gravity waves on the wave drag in the stratosphere and lower mesosphere. J. Geophy. Res., 122， 11,301–11312.

2018

231. Kong, R., M. Xue, and C. Liu, 2018: Development of a hybrid en3DVar data assimilation system and comparisons with 3DVar and EnKF for radar data assimilation with observing system simulation experiments. Mon. Wea. Rev.,  146, 175–198.
232. Chen, X., Y. Wang, J. Fang, and M. Xue, 2018: A numerical study on rapid intensification of typhoon Vicente (2012) in the South China Sea. Part II: Roles of inner-core processes. J. Atmos. Sci., 75, 235-255.
233. Zhu, K., M. Xue, B. Zhou, K. Zhao, Z. Sun, P. Fu, Y. Zheng, X. Zhang, and Q. Meng, 2018: Evaluation of real-time precipitation forecasts during 2013-2014 summer seasons over China at a convection-permitting resolution: spatial distribution, propagation, diurnal cycles and skill scores. J. Geophy. Res., 123, 1037-1064..
234. Pan, Y., M. Xue, K. Zhu, and M. Wang, 2018: A prototype regional GSI-based EnKF-variational hybrid data assimilation system for the Rapid Refresh forecasting system: Dual-resolution implementation and testing results. Adv. Atmos. Sci., 35, 518–530.
235. Clark, A, I. Jirak, S. Dembek, F. Kong, K. Thomas, K. Knopfmeier, B. Gallo, C. Melick, M. Xue, K. Brewster, Y. Jung, A. Kennedy, X. Dong, J. Markel, G. Romine, K. Fossell, R. Sobash, J. Carley, B. Ferrier, M. Pyle, C. Alexander, S. Weiss, J. Kain, L. Wicker, G. Thompson, D. Imy, G. Creager, 2018: The Community Leveraged Unified Ensemble (CLUE) in the 2016 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment. Bull. Amer. Meteor. Soc. 99, 1433-1448..
236. Chen, X., H. Yuan, and M. Xue, 2018: Spatial spread-skill relationship in terms of agreement scales for precipitation forecasts in a convection-allowing ensemble. Quart. J. Roy. Meteor. Soc., 144， 85-98.
237. Hu, X.-M., M. Xue, R. A. McPherson, E. Martin, D. H. Rosendahl and L. Qiao, 2018: Precipitation dynamical downscaling over the Great Plains. J. Adv. Modeling Earth Systems, 10, 421-447.
238. Johnson, M., Y. Jung, D. Dawson, T. A. Supinie, M. Xue, J. Park, and Y.-H. Lee, 2018: Evaluation of Unified Model microphysics in high-resolution NWP simulations using polarimetric radar observations. Adv. Atmos. Sci., 35, 771-784.
239. Xu, X., Y. Tang, Y. Wang, and M. Xue, 2018: Directional Absorption of Mountain Waves and Its Influence on the Wave Momentum Transport in the Northern Hemisphere. J. Geophy. Res., 123, 2640-2654.
240. Zhou, B., M. Xue, and K. Zhu, 2018: A Grid-Refinement-Based Approach to Modeling the Convective Boundary Layer in the Gray Zone: Algorithm Implementation and Testing. J. Atmos. Sci., 75, 1143-1161.
241. Luo, L., M. Xue, K. Zhu, and B. Zhou, 2018: Explicit prediction of hail in a long-lasting multi-cellular convective system in eastern China using multi-moment microphysics schemes. J. Atmos. Sci., 75, 3115-3137.
242. Xue, M., X. Luo, K. Zhu, Z. Sun, and J. Fei, 2018: The controlling role of boundary layer inertial oscillations in meiyu frontal precipitation and its diurnal cycles over China J. Geophy. Res., 123, 5090-5115.
243. Meng, Z., L. Bai, M. Zhang, Z. Wu, Z. Li, M. Pu, Y. Zheng, X. Wang, D. Yao, M. Xue, K. Zhao, Z. Li, S. Peng, and L. Li, 2018: The Deadliest Tornado (EF4) in the Past 40 Years in China. Wea. Forecasting, 33, 693-713.
244. Wang, Q. and M. Xue, 2018: A high-resolution modeling study of the 19 June 2002 convective initiation case during IHOP: Localized forcing by horizontal convective rolls. Adv. Atmos. Sci., 35, 1243-1253.
245. Chen, X., M. Xue, and J. Fang, 2018: Rapid intensification of typhoon Mujigae (2015) over anomalously warm sea surface of the South China Sea. J. Atmos. Sci., 75, 4313–4335.
246. Luo, X., M. Xue, and J. Fei, 2018: Simulation and Analysis of the Initiation of a Squall Line within a Meiyu Frontal System in East China. Atmosphere, 9, 183

2019

247. Fu, P., K. Zhu, K. Zhao, B. Zhou, and M. Xue, 2019: The role of nocturnal low-level jet in the formation of morning precipitation peak over Dabie Mountains. Adv. Atmos. Sci., 36, 15-28.
248. Zhang, C., M. Xue, T. A. Supinie, F. Kong, N. Snook, K. W. Thomas, K. Brewster, Y. Jung, L. M. Harris, and S.-J. Lin, 2019: How Well Does the FV3 Model Predict Precipitation at a Convection-Allowing Resolution? Results from CAPS Forecasts for the 2018 NOAA Hazardous Weather Testbed with Different Physics Combinations. Geophys. Res. Lett., 46, 3523-3531.
249. Liu, C., M. Xue, and R. Kong, 2019: Direct assimilation of radar reflectivity data using 3DVAR: Treatment of hydrometeor background errors and OSSE tests. Mon. Wea. Rev., 137, 17-29.
250. Yao, D., Z. Meng, and M. Xue, 2019: Genesis, maintenance and demise of a simulated tornado and the evolution of tts preceding descending reflectivity core (DRC). Atmosphere, 10, 10236, https://doi.org/10.3390/atmos10050236.
251. Loken, E. D., A. J. Clark, M. Xue, and F. Kong, 2019: Spread and skill in mixed- and single-physics convection-allowing ensembles. Wea. Forecasting, 34, 305-330.
252. Zhang, Y., M. Xue, K. Zhu, and B. Zhou, 2019: What is the main cause of diurnal variation and nocturnal peak of summer precipitation in Sichuan Basin, China? The key role of boundary layer low-level jet inertial oscillations. J. Geophy. Res., 124, 2643-2664.
253. Snook, N., M. Xue, and Y. Jung, 2019: Tornado-Resolving Ensemble and Probabilistic Predictions of the 20 May 2013 Newcastle-Moore EF5 Tornado. Mon. Wea. Rev., 147, 1215-1235.
254. Hu, X.-M., M. Xue, F. Kong, and H. Zhang, 2019: Meteorological conditions during an ozone episode in Dallas-Fort Worth, Texas and impact of their model uncertainties on air quality prediction J. Geophy. Res., 124, 1941-1961.
255. Zhang, G., V. N. Mahale, B. J. Putnam, Y. Qi, Q. Cao, A. D. Bryd, P. Bukovcic, D. S. Zrnic, J. Gao, M. Xue, Y. Jung, H. D. Reeves, P. L. Heinselman, A. Ryzhkov, R. D. Palmer, P. Zhang, M. Weber, G. M. McFarquhar, B. M. III, Y. Zhang, J. Zhang, J. Vivekanandan, Y. Al-Rashid, R. L. Ice, D. S. Berkowitz, C. Tong, C. Fulton, and R. J. Doviak, 2019: Current status and future challenges of weather radar polarimetry: Bridging the gap between radar meteorology/hydrology/engineering and numerical weather prediction. Adv. Atmos. Sci., 36, 571-588, https://doi.org/10.1007/s00376-019-8172-4.
256. Labriola, J., N. Snook, Y. Jung, and M. Xue, 2019: Explicit ensemble prediction of hail in 19 May 2013 Oklahoma City thunderstorms and analysis of hail growth processes with several multi-moment microphysics schemes. Mon. Wea. Rev., 147, 1193-1213.
257. Putnam, B., M. Xue, Y. Jung, N. Snook, and G. Zhang: Ensemble Kalman Filter Assimilation of Polarimetric Radar Observations for the 20 May 2013 Oklahoma Tornadic Supercell Case. Mon. Wea. Rev., 147, 2511-2533.
258. Sun, Z., M. Xue, K. Zhu, and B. Zhou, 2019: Prediction of a rare EF4 tornado in Funing, China: Resolution dependency of simulated tornadoes. Atmos. Res., 229, 175-189.
259. Rao, X., K. Zhao, X. Chen, A. Huang, M. Xue, Q. Zhang, and M. Wang, 2019: Influence of synoptic pattern and low-level wind speed on intensity and diurnal variations of orographic convection in summer over Pearl River Delta, South China. J. Geophy. Res., 124, 6157-6179. https://doi.org/10.1029/2019JD030384.
260. Labriola, J., N. Snook, M. Xue, and K. Thomas, 2019: Forecasting the 8 May 2017 Severe Hail Storm in Denver Colorado at a Convection Allowing Resolution: Understanding Rimed Ice Treatments in Multi-Moment Microphysics Schemes and Their Effects on Hail Size Forecasts. Mon. Wea. Rev., 147, 3045-3068.
261. Snook, N., F. Kong, K. Brewster, M. Xue, K. W. Thomas, T. A. Supinie, B. Albright, and S. Perfater, 2019: Evaluation of Convection-Permitting Precipitation Forecast Products using WRF, NMMB, and FV3 Models for the 2016-2017 NOAA Hydrometeorology Testbed Flash Flood and Intense Rainfall Experiments. Wea. Forecasting, 34, 781-804.
262. Dahl, N. A., A. Shapiro, C. K. Potvin, A. Theisen, J. G. Gebauer, A. D. Schenkman, and M. Xue, 2019: High-resolution, rapid-scan dual-Doppler retrievals of vertical velocity in simulated supercells. J Atmos Ocean Tech, 36, 1477-1500.
263. Zhao, K., H. Huang, M. Wang, W.-C. Lee, G. Chen, L. Wen, J. Wen, G. Zhang, M. Xue, Z. Yang, L. Liu, C. Wu, Z. Hu, and S. Chen, 2019: Recent Progress of Dual-Polarization Radar Research and Application in China. Adv. Atmos. Sci. 36, 961-974.
264. Zhu, K., M. Xue, Y. Pan, M. H. S. G. Benjamin, S. S. Weygandt, and H. Lin, 2019: The Impact of Satellite Radiance Data Assimilation within a Frequently Updated Regional Forecast System Using GSI-based Ensemble Kalman Filter. Adv. Atmos. Sci., 36, 1308-1326.
265. Potvin, C. K., J. R. Carley, A. Clark, L. J. Wicker, P. S. Skinner, A. E. Reinhart, B. T. Gallo, J. S. Kain, G. Romine, E. Aligo, B. A. Brewster, D. C. Dowell, L. M. Harris, I. L. Jirak, F. Kong, T. A. Supinie, K. W. Thomas, X. Wang, Y. Wang, and M. Xue, 2019: Systematic comparison of convection-allowing models during the 2017 NOAA HWT Spring Forecasting Experiment. Wea. Forecasting, 34, 1395-1416.
266. Dawson, D, II, B. Roberts, M. Xue, 2019: A method to maintain the environmental wind profile in idealized simulations of deep convection with surface friction. Mon. Wea. Rev. 147, 3935-3954, https://doi.org/10.1175/MWR-D-18-0462.1.
267. Johnson, M., Y. Jung, J. A. Milbrandt, H. Morrison, and M. Xue, 2019: Effects of the representation of rimed ice in bulk microphysics schemes on polarimetric signatures. Mon. Wea. Rev., 147, 3785-3810.
268. Hu, X.-M., M. Xue, and X. Li, 2019: The use of high-resolution sounding data to evaluate and optimize non-local PBL schemes for simulating the slightly stable upper convective boundary layer. Mon. Wea. Rev., 147, 2825-2841.
269. Mahale, V. N., G. Zhang, M. Xue, J. Gao, and H. D. Reeves , 2019: Variational retrieval of rain microphysics and related parameters from polarimetric radar data with a parameterized operator. J. Atmos. Oceanic Technol., 36,2483-2500.
270. Xu, X., M. A. C. Teixeira, M. Xue, and Y. Wang, 2019: Parameterization of Directional Absorption of Orographic Gravity Waves and Its Impact on the Atmospheric General Circulation Simulated by the Weather Research and Forecasting Model. J. Atmos. Sci., 76, 3435-3453.
271. Oliveira, M. I., M. Xue, B. Roberts, and L. J. Wicker , 2019: Horizontal vortex tubes near tornadoes: three-dimensional structure and dynamics. Atmosphere, 10, 716. https://doi.org/10.3390/atmos10110716.

2020

272. Stratman, D. R., N. Yussouf, Y. Jung, T. A. Supinie, M. Xue, P. S. Skinner, and B. J. Putnam, 2020: Optimal temporal frequency of phased-array radar observations for storm-scale data assimilation. Wea. Forecasting, 35, 193-214. https://doi.org/10.1175/WAF-D-19-0165.1
273. Labriola, J., N. Snook, Y. Jung, and M. Xue, 2020: Evaluating ensemble Kalman filter analyses of severe hail storms on 8 May 2017 in Colorado: Effects of state variable updating and multi-moment microphysics schemes on state variable cross-covariances. Mon. Wea. Rev., 148, 2365-2389. https://doi.org/10.1175/MWR-D-19-0300.1.
274. Tang, Y., X. Xu, M. Xue, J. Tang, and Y. Wang , 2020: Characteristics of Low-level Meso-g-scale Vortices in the Warm Season over East China, Atmos. Res., 235, 104768, https://doi.org/10.1016/j.atmosres.2019.104768.
275. Liu, C., M. Xue, and R. Kong, 2020: Direct variational assimilation of radar reflectivity and radial velocity data: Issues with nonlinear reflectivity operator and solutions. Mon. Wea Rev., 148, 1483-1502, https://doi.org/10.1175/MWR-D-19-0149.1.
276. Roberts, B., M. Xue, and I. Dawson, D. T., 2020: The effect of the surface drag strength on mesocyclone intensification and tornadogenesis in idealized supercell simulations. J. Atmos. Sci., 77, 1699-1721, https://doi.org/10.1175/JAS-D-19-0109.1.
277. Zhang, C., Y. Wang, and M. Xue, 2020: Evaluation of an E-e and three other boundary layer parameterization schemes in the WRF model over the Southeast Pacific and the Southern Great Plain. Mon. Wea. Rev., 148, 1121-1145, https://doi.org/10.1175/MWR-D-19-0084.1.
278. Kong, R., M. Xue, A. O. Fierro, Y. Jung, C. Liu, E. R. Mansell, and D. R. MacGorman , 2020: Assimilation of GOES-16 Geostationary Lightning Mapper Flash Extent Density Data in GSI EnKF for the Analysis and Short Term Forecast of a Mesoscale Convective System. Mon. Wea. Rev., 148, 2111-2133, https://doi.org/10.1175/MWR-D-19-0192.1
279. Zhu, K., M. Xue, K. Ouyan, and Y. Jung, 2020: Assimilating polarimetric radar data with an ensemble Kalman filter: OSSEs with a tornadic supercell storm simulated with a two-moment microphysics scheme. Quart. J. Roy. Meteor. Soc., 146, 1880-1900, https://doi.org/10.1002/QJ.3772.
280. Hu, X.-M., S. Crowell , Q. Wang, Y. Zhang, K. J. Davis, M. Xue, X. Xiao, B. Moore, X. Wu, Y. Choi, and J. P. DiGangi, 2020: Dynamical Downscaling of CO2 in 2016 over the contiguous United States using WRF-VPRM, a weather-biosphere-online-coupled model, J. Adv. Modeling Earth Systems. 12, e2019MS001875, https://doi.org/10.1029/2019MS001875.
281. Hu, X.-M., S. M. Gourdji, K. J. Davis, Q. Wang, Y. Zhang, M. Xue, S. Feng, B. Moore, and S. M. R. Crowell, 2021: Implementation of Improved Parameterization of Terrestrial Flux in WRF-VPRM Improves the Simulation of Nighttime CO2 Peaks and a Daytime CO2 Band Ahead of a Cold Front. J. Geophy. Res., 126, e2020JD034362, https://doi.org/10.1029/2020JD034362.
282. Li, X., X.-M. Hu, C. Cai, Q. Jia, Y. Zhang, J. Liu, M. Xue, J. Xu, R. Wen, and S. Crowell, 2020: Terrestrial CO2 fluxes, concentrations, sources and budget in northeast China: Observational and modeling studies. J. Geophys. Res., 125, e2019JD031686, https://doi.org/10.1029/2019JD031686.
283. Pan, Y., M. Wang and M. Xue, 2020: Impacts of Humidity Adjustment through Radar Data Assimilation Using Cloud Analysis on the Analysis and Prediction of a Squall Line in Southern China, Earth and Space Science, 7, e2019EA000893, https://doi.org/10.1029/2019EA000893.
284. Wang, M., K. Zhao, Y. Pan, and M. Xue, 2020: Evaluation of simulated drop size distributions and microphysical processes using polarimetric radar observations for landfalling Typhoon Matmo (201410). J. Geophys. Res., 125, e2019JD031527, https://doi.org/10.1029/2019JD031527.
285. Yu, B., K. Zhu, M. Xue, and B. Zhou, 2020: Using new neighborhood-based intensity-scale verification metrics to evaluate WRF precipitation forecasts at 4 and 12 km grid spacings. Atmos. Res., 246, 105117, https://doi.org/10.1016/j.atmosres.2020.105117.
286. Xu, X., M. Xue, M. A. C. Teixeira, J. Tang, and Y. Wang, 2020: Impacts of wind profile shear and curvature on the parameterized orographic gravity wave stress in the Weather Research and Forecasting model. Quart. J. Roy. Meteor. Soc., 146, 3086-3100, https://doi.org/10.1002/qj.3828.
287. Luo, L., M. Xue, and K. Zhu, 2020: The initiation and organization of a severe hail-producing mesoscale convective system in east China: A numerical study. J. Geophy. Res., 125, e2020JD032606. https://doi.org/10.1029/2020JD032606.
288. Snook, N., F. Kong, A. Clark, B. Roberts, K. A. Brewster, and M. Xue, 2020: Comparison and Verification of Point-Wise and Patch-Wise Localized Probability-Matched Mean Algorithms for Ensemble Consensus Precipitation Forecasts. Geophy. Res. Lett., 47, e2020GL087839. https://doi.org/10.1029/2020GL087839.
289. Tong, C.-C., Y. Jung, M. Xue, and C. Liu, 2020: Direct assimilation of radar data within the National Weather Service operational GSI EnKF and hybrid En3DVar systems for the stand-alone regional FV3 model at a convection-allowing resolution. Geophy. Res. Lett., 47, e2020GL090179, https://doi.org/10.1029/2020GL090179.
290. Gallo, B. T., J. Wolff, A. J. Clark, I. Jirak, L. R. Blank, B. Roberts, Y. Wang, C. Zhang, M. Xue, T. Supinie, L. Harris, L. Zhou, and C. Alexander, 2020: Exploring convection-allowing model evaluation strategies for severe local storms using the Finite-Volume Cubed (FV3) model core. Wea. Forecasting, 36, 3-19, https://doi.org/10.1175/WAF-D-20-0090.1.
291. McFarquhar, G., l. Smith, E. Pillar-Little, K. Brewster, P. Chilson, T. Lee, S. Waugh, N. Yussouf, X. Wang, M. Xue, G. d. Boer, J. Gibbs, C. Fiebrich, B. Baker, J. Brotzge, F. Carr, H. Christopherson, M. Fengler, P. Hall, T. Hock, A. Houston, R. Huck, J. Jacob, R. Palmer, P. Quinn, M. Wagner, Y. Zhang, and D. Hawk, 2020: Current and Future Uses of UAS for Improved Forecasts/Warnings and Scientific Studies Bull. Amer. Met. Soc., 101, 1322-1328. https://doi.org/10.1175/BAMS-D-20-0015.1

2021

292. Kong, R., M. Xue, C. Liu, and Y. Jung, 2021: Comparisons of Hybrid En3DVar with 3DVar, and EnKF for Radar Data Assimilation: Tests with the 10 May 2010 Oklahoma Tornado outbreak. Mon. Wea. Rev., 149, 21-40, https://doi.org/10.1175/MWR-D-20-0053.1.
293. Labriola, J., Y. Jung, L. Chengsi, and M. Xue, 2021: Evaluating forecast performance and sensitivity to the GSI EnKF data assimilation configuration for the 28-29 May 2017 mesoscale convective system case. Wea. Forecasting, 36, 127-146. https://doi.org/10.1175/WAF-D-20-0071.1.
294. Zhu, Z., Y. Qi, Q. Cao, D. Li, Z. Zhang, J. Cao, and M. Xue, 2021: Particle Size Distribution Characteristics within Different Regions of Mature Squall-line Based on the Analysis of Global Precipitation Measurement Dual-frequency Precipitation Radar Retrieval. IEEE Geosci. Remote Sensing Lett., 19, 1-5, 10.1109/LGRS.2020.3019384.
295. Sun, S., B. Zhou, M. Xue, and K. Zhu, 2021: Scale-Similarity Subgrid-Scale Turbulence Closure for Supercell Simulations at Kilometer-Scale Resolutions: Comparison Against a Large Eddy Simulation. J. Atmos. Sci., 78, 417-437. https://doi.org/10.1175/JAS-D-20-0187.1
296. Zhuang, X., M. Xue, N. Wu, J. Min, and F. Kong, 2021: Error growth dynamics within convection-allowing ensemble forecasts over central U.S. regions for days of active convection. Mon. Wea. Rev., 149, 959-977. https://doi.org/10.1175/MWR-D-20-0329.1
297. Zhu, L., Z. Qin, J. Min, and M. Xue, 2021 : Characterizing, Mitigating, and Comparing the Along-Scanline Noise in Fengyun-3 Series Microwave Humidity Sounders (MWHSs). IEEE Trans. Geosci. Remote Sensing, 60, 1-10, Art. No. 5300210, 10.1109/TGRS.2020.3043310.
298. Chen, L., C. Liu, M. Xue, R. Kong, and Y. Jung, 2021: Use of power transform mixing ratios as hydrometeor control variables for direct assimilation of radar reflectivity in GSI En3DVar and tests with five convective storms cases. Mon. Wea. Rev., 149, 645-659. https://doi.org/10.1175/MWR-D-20-0149.1 
299. Chen, L., C. Liu, Y. Jung, P. Skinner, M. Xue, and R. Kong, 2021: Object-based Verification of GSI-based EnKF and Hybrid En3DVar Radar Data Assimilation and Convection-Allowing Forecasts within a Warn-on-Forecast Framework.  Wea. Forecasting. 37, 639-658, https://doi.org/10.1175/WAF-D-20-0180.1.
300. Wang, Q., Y. Zhang, K. Zhu, Z.-M. Tan, and M. Xue, 2021: A case study of the initiation of parallel convective lines back-building from the south side of a Meiyu front over complex. Adv. Atmos. Sci., 38, 717-736, doi: 10.1007/s00376-020-0216-2.
301. Putnam, B. J., Y. Jung, N. Yussouf, D. Stratman, T. A. Supinie, M. Xue, C. Kuster, and J. Labriola , 2021: The Impact of Assimilating Zdr Observations on Storm-Scale Ensemble Forecasts of the 31 May 2013 Oklahoma Storm Event. Mon. Wea. Rev., 149, 1919-1942, https://doi.org/10.1175/MWR-D-20-0261.1. 
302. Hu, X.-M., J. Hu, L. Gao, C. Cai, Y. Jiang, M. Xue, T. Zhao, and S. M. R. Crowell, 2021: Multi-sensor and multi-model monitoring and investigation of a wintertime air pollution event ahead of a cold front over eastern China. J. Geophy. Res., 126, e2020JD033538. https://doi.org/10.1029/2020JD033538.
303. Chen, X., M. Xue, B. Zhou, J. Fang, J. A. Zhang, and F. D. Marks, 2021: Effect of scale-aware planetary boundary layer schemes on tropical cyclone intensification and structural changes in the gray zone. Mon. Wea. Rev., 149, 2079-2095. https://doi.org/10.1175/MWR-D-20-0297.1.
304. Davis, K.J., E. V. Browell, S. Feng, T. Lauvaux, M. D. Obland, S. Pal, B. C. Baier, D. F. Baker, I. T. Baker, Z. R. Barkley, K. W. Bowman, Y. Y. Cui, A. S. Denning, J. P. DiGangi, J. T. Dobler, A. Fried, T. Gerken, K. Keller, B. Lin, A. R. Nehrir, C. P. Normile, C. W. O'Dell, L. E. Ott, A. Roiger, A. E. Schuh, C. Sweeney, Y. Wei, B. Weir, M. Xue, and C. A. Williams, 2021: The Atmospheric Carbon and Transport (ACT)-America Mission. Bul. Amer. Meteor. Soc., 102, E1714-E1734, https://doi.org/10.1175/BAMS-D-20-0300.1.
305. Luo, L., M. Xue, K. Zhu, and Z. Wang, 2021: Diagnosing the Shape Parameters of the Gamma Particle Size Distributions in a Two-Moment Microphysics Scheme and Improvements to Explicit Hail Prediction. Atmos. Res., 258, 105651, https://doi.org/10.1016/j.atmosres.2021.105651.
306. Griffin, S. M., J. A. Otkin, S. E. Nebuda, T. L. Jensen, P. Skinner, T. A. Supinie, and M. Xue, 2021: Evaluating the Impact of Planetary Boundary Layer, Land Surface Model, and Microphysics Parameterization Schemes on Upper-level Cloud Objects in Simulated GOES-16 Brightness Temperatures. J. Geophy. Res., 126, e2021JD034709, https://doi.org/10.1029/2021JD034709.
307. Zhu, K., B. Yu, M. Xue, B. Zhou, and X.-M. Hu, 2021: Summer Season Precipitation Biases in 4 km WRF Forecasts over Southern China: Diagnoses of the Causes of Biases. J. Geophy. Res., 126, e2021JD035530. https://doi.org/10.1029/2021JD035530.
308. Wang, Y., N. Yussouf, E. R. Mansell, B. Matilla, R. Kong, M. Xue, and V. C. Chmielewski , 2021: Impact of Assimilating GOES-R Geostationary Lightning Mapper Flash Extent Density Data on Severe Convection Forecast in a Warn-on-Forecast System, Mon. Wea. Rev., 149, 3217-3241. https://doi.org/10.1175/MWR-D-20-0406.1.

2022

309. Li, H., C. Liu, M. Xue, J. Park, L. Chen, Y. Jung, R. Kong, and C.-C. Tong , 2022: Use of power transform total number concentration as control variable for direct assimilation of radar reflectivity in GSI En3DVar and tests with six convective storms cases. Mon. Wea. Rev., 150, 821-842. https://doi.org/10.1175/MWR-D-21-0041.1
310. Liu, C., H. Li, M. Xue, Y. Jung, J. Park, L. Chen, R. Kong, and C.-C. Tong, 2022: Use of a Reflectivity Operator Based on Two-Moment Thompson Microphysics for Direct Assimilation of Radar Reflectivity in GSI-based Hybrid En3DVar. Mon. Wea. Rev.,150, 907-926. https://doi.org/10.1175/MWR-D-21-0040.1
311. Chen, L., C. Liu, Y. Jung, P. Skinner, M. Xue, and R. Kong, 2022: Object-based Verification of GSI-based EnKF and Hybrid En3DVar Radar Data Assimilation and Convection-Allowing Forecasts within a Warn-on-Forecast Framework. Wea. Forecasting, 37, 639-658. https://doi.org/10.1175/WAF-D-20-0180.1 
312. Kong, R., M. Xue, C. Liu, A. O. Fierro, and E. R. Manselld, 2022: Development of new observation operators for assimilating GOES-R geostationary lightning mapper flash extent density data using GSI EnKF: Tests with two convective events over the US. Mon. Wea. Rev., 150, 2091-2110, https://doi.org/10.1175/MWR-D-21-0326.1.
313. Supinie, T. A., J. Park, N. Snook, X.-M. Hu, K. Brewster, M. Xue, and J. R. Carley, 2022: Cool-Season Evaluation of FV3-LAM-Based CONUS-Scale Forecasts with Physics Configurations of Experimental RRFS Ensembles. Mon. Wea. Rev., 150, 2379-2398,  10.1175/MWR-D-21-0331.1.
314. Huang, Y., W. Wu, G. M. McFarquhar, M. Xue, H. Morrison, J. Milbrandt, A. V. Korolev, Y. Hu, Z. Qu, M. Wolde, C. Nguyen, A. Schwarzenboeck, and I. Heckman, 2022: Microphysical processes producing high ice water contents (HIWCs) in tropical convective clouds during the HAIC-HIWC field campaign: dominant role of secondary ice production. Atmos. Chem. Phy., 22, 2365-2384.  https://doi.org/10.5194/acp-22-2365-2022.
315. Oliveira, M. I., M. Xue, and B. Roberts, 2022: Trailing Horizontal Vortices in Observed and Numerically Simulated Tornadoes. Bull. Amer. Meteor. Soc., 103, E2768-E2790. https://doi.org/10.1175/BAMS-D-20-0251.1.
316. Zhu, K., C. Zhang, M. Xue, and N. Yang, 2022: Predictability and skill of convection-permitting ensemble forecast systems in predicting the record-breaking 21.7 extreme rainfall event in Henan Province. Sci. China. - Earth Sci., 65, 1879-1902, https://doi.org/10.1007/s11430-022-9961-7.
317. Chen, G., K. Zhao, Y. Lu, Y. Zheng, M. Xue, Z.-M. Tan, X. Xu, H. Huang, H. Chen, F. Xu, J. Yang, . . . X. Fan, 2022: Variability of microphysical characteristics in the 21.7 Henan extremely heavy rainfall event. Sci. China - Earth Sci., 65, 1861-1878, https://doi.org/10.1007/s11430-022-9972-9.
318. Luo, J., H. Li , M. Xue, Y. Zhu, 2022: Direct Assimilation of Radar Reflectivity Data using Ensemble Kalman Filter based on a Two-Moment Microphysics Scheme for the analysis and forecast of Typhoon Lekima (2019), Remote Sensing. 14, 3987. https://doi.org/10.3390/rs14163987.
319. Chen, M., Z. Li, S. Gao, M. Xue, J. J. Gourley, R. L. Kolar, and Y. Hong, 2022: A flood predictability study for Hurricane Harvey with the CREST-iMAP model using high-resolution quantitative precipitation forecasts and U-Net deep learning precipitation nowcasts. J. Hydrology, 612, 128168, https://doi.org/10.1016/j.jhydrol.2022.128168..
320. Yang, N., K. Zhu, and M. Xue, 2022: Investigation of Convection-Allowing Prediction Error of an Extreme Precipitation Event of China Using CRTM-Simulated Brightness Temperature. J. Geophy. Res., 127, e2022JD036760. https://doi.org/10.1029/2022JD036760.
321. Wang, X., M. Xue, K. Zhu, Y. Zhang, and Z. Fan, 2022: Diurnal Variation of Summer Monsoon Season Precipitation Over Southern Hainan Island, China: The Role of Boundary Layer Inertial Oscillations Over Indochina Peninsula. J. Geophy. Res., 127, e2022JD037114. https://doi.org/10.1029/2022JD037114. 
322. Chen, M., Y. Huang, Z. Li, A. J. Larico, M. Xue, Y. Hong, X.-M. Hu, H. M. Novoa, E. Martin, R. McPherson, J. Zhang, . . . I. Y. Morales, 2022: Cross-examine the precipitation products by the rain gauge, remote sensing, and WRF simulations over a South American region across the Pacific coast and Andes. Atmosphere 2022, 13, 1666. https://doi.org/ 10.3390/atmos13101666. 

2023

323. Huang, W., and M. Xue, 2023: Sub-vortices within a numerically simulated real-case tornado: The role of vortex Rossby waves. J. Atmos. Sci., 80, 2503 - 2529. https://doi.org/10.1175/JAS-D-22-0237.1.
324. Hu, X.-M., J. Park, T. A. Supinie, N. A. Snook, M. Xue, K. Brewster, J. Brotzge, and J. Carley, 2023: Diagnosing near-surface model errors with candidate physics parameterization schemes for multi-physics Rapid Refresh Forecasting System (RRFS) ensemble during winter Mon. Wea. Rev., 151, 39-61, https://doi.org/10.1175/MWR-D-22-0085.1.
325. Zhang, C., M. Xue, K. Zhu, and X. Yu , 2023: Climatology of Significant Tornadoes within China and Comparison of Tornado Environments between United States and China. Mon. Wea. Rev., 151, 465–484. https://doi.org/10.1175/MWR-D-22-0070.1.
326. Zhu, L., M. Xue, R. Kong, and J. Min , 2023: Direct assimilation of all-sky GOES-R ABI radiances in GSI EnKF for the analysis and forecasting of a mesoscale convective system. Mon. Wea. Rev., 151, 737–760. https://doi.org/10.1175/MWR-D-21-0293.1.
327. Xu, Q., K. Nai, L. Wei, N. Snook, Y. Wang, M. Xue, 2023, A Vortex Relocation Method for Improving Initial Conditions and Subsequent Predictions of Tornados. Wea. Forecasting, 38, 391–399. https://doi.org/10.1175/WAF-D-22-0126.1.
328. Wei, P., X. Xu, M. Xue, C. Zhang, Y. Wang, K. Zhao, A. Zhou, S. Zhang, and K. Zhu, 2023: On Key Dynamical Processes Supporting the 21.7 Zhengzhou Record-Breaking Hourly Rainfall in China. Adv. Atmos. Sci., 40, 337 - 349. https://doi.org/10.1007/s00376-022-2061-y.
329. Lin, G., Z. Wang, C. Ziegler, X.-M. Hu, M. Xue, B. Geerts, and Y. Chu, 2023: A comparison of convective storm inflow moisture variability between the Great Plains and the southeastern United States using multiplatform field campaign observations. J. Atmos. Ocean Tech., 40, 539-556, https://doi.org/10.1175/JTECH-D-22-0037.1.
330. Park, J., M. Xue, and C. Liu, 2023: Implementation and Testing of Radar Data Assimilation Capabilities within the Joint Effort for Data assimilation Integration (JEDI) Framework with Ensemble Transformation Kalman Filter coupled with FV3-LAM Model. Geophy. Res. Lett., 50, e2022GL102709, https://doi.org/10.1029/2022GL102709.
331. Zhang, C., K. Zhu, M. Xue, and Z. Sun, 2023: Probabalistic Foorecasting of Funing Significant Tornado Based on Convection-Allowing Ensembles. Meteor. Sci., 43,   438-450. 10.12306/2022jms.0057 (in Chinese).
332. Zhu, K., M. Xue, N. Yang, and C. Zhang , 2023: How well does 4-km WRF model predict three-dimensional reflectivity structure over China as compared to radar observations? J. Geophy. Res., 128, e2022JD038143. https://doi.org/10.1029/2022JD038143.
333. Fan, Z., M. Xue, K. Zhu, L. Luo, Z. Gao and S. Li, 2023: Effects of precipitation latent heating on structure and evolution of northeast China cold vortex: A PV perspective. J. Geophys. Res., 128, e2023JD039016. https://doi.org/10.1029/2023JD039016.
334. Li, H., Y. Huang, Y. Luo, H. Xiao, M. Xue, X. Liu, and L. Feng, 2023: Does “right” simulated extreme rainfall result from the “right” representation of rain microphysics? Quart. J. R. Meteor. Soc., 149, 3220-3249. https://doi.org/10.1002/qj.4553.
335. Johnson, M., M. Xue, and Y. Jung, 2023: Biases and skill of four two-moment bulk microphysics schemes in convection-allowing forecasts for the 2018 Hazardous Weather Testbed spring forecasting experiment period. Wea. Forecasting, 38, 1621-1642, https://doi.org/10.1175/WAF-D-22-0171.1.
336. Huang, Y., M. Xue, X.-M. Hu, E. Martin, H. M. Novoa, R. A. McPherson, A. Perez, and I. Y. Morales, 2023: Convection-Permitting Simulations of Precipitation over the Peruvian Central Andes: Sensitivity to Physics Parameterizations. J. Hydrometeor, 24, 1969-1987.  https://doi.org/10.1175/JHM-D-22-0173.1.
337. Hu, X.-M., Y. Huang, M. Xue, E. Martin, Y. Hong, M. Chen, H. M. Novoa, R. McPherson, Andres Perez, Isaac Yanqui Morales, and Auria Julieta Flores Luna, 2023: Effects of lower troposphere vertical mixing on simulated clouds and precipitation over Amazon during the wet season. J. Geophy. Res., 128, e2023JD038553, https://doi.org/10.1029/2023JD038553.
338. Fan, Ziqi, Kefeng Zhu, Ming Xue, 2023: Decay processes and statistical characteristics of continental Northeast China Cold Vortex from April to September. Acta Meteorologica Sinica, 81, 727-740. 10.11676/qxxb2023.20220171.
339. Zhao, Y., M. Xue, J. Jiang, X.-M. Hu, and A. Huang , 2024: Assessment of the Wet Season Precipitation in Central United States by the Regional Climate Simulation of WRFG Member in NARCCAP and Its Relationship with Large-scale Circulation Biases. Adv. Atmos. Sci., 41, 619–638. https://doi.org/10.1007/s00376-023-2353-x.
340. Chen, M., Y. Hong, Z. Li, H. J. Vergara, J. J. Gourley, M. Xue, X.-M. Hu, H. M. Novoa, E. R. Martin, R. A. McPherson, S. Gao, A. V. Perez, and I. Y. Morales: CONUS-wide model calibration and validation for CRESTv3.0 - an improved Coupled Routing and Excess STorage distributed hydrological model. J. Hydrol., 626, 130333, https://doi.org/10.1016/j.jhydrol.2023.130333.
341. Zhang, H., M. Xue, X. Li, and G. Zhai, 2023: Local torrential rainfall event within a Mei-Yu front mesoscale convective system: Importance of back-building processes. Adv. Atmos. Sci., 41, 847–863.10.1007/s00376-023-3033-6.
342. Zhang, C., K. Zhu, M. Xue, Z. Sun, 2023: Probabilistic forecasting of Funing significant tornado based on convection-allowing ensembles. J. Meteor. Sci., 43, 438-450. 10.12306/2022jms.0057.
343. Wang, H., M. Xue, J. Yin and H. Deng, 2023: Comparison of simulated warm-rain microphysical processes in a record-breaking rainfall event using polarimetric radar observations. J. Geophy. Res., 128, e2023JD038742. https://doi.org/10.1029/2023JD038742.
344. Zhao, K., X. Xu, M. Xue, Z.-M. Tan, H. Huang, A. Zhou, X. Fan, Q. Liu, C. Wang, J. Fang, W.-C. Lee, Q. Zhang, F. Zhang, G. Chen, and J. Yang, 2023: The Dynamics and Microphysical Characteristics of the Convection Producing the Record-Breaking Hourly Precipitation on 20 July 2021 in Zhengzhou, China. Remote Sensing, 15, 4511.

2024

345. Kong, R., M. Xue, C. Liu, A. O. Fierro, E. R. Mansell, and D. R. MacGorman , 2024: Assimilation of GOES-16 geostationary lightning mapper flash extent density data in GSI 3DVar, EnKF and hybrid En3DVar for the analysis and short term forecast of a supercell storm case. Adv. Atmos. Sci., 41, 263-277, https://doi.org/10.1007/s00376-023-2340-2.
346. Johnson, M., M. Xue, and Y. Jung, 2024: Comparison of a Spectral Bin and Two Multi-Moment Bulk Microphysics Schemes for Supercell Simulation: Investigation into Key Processes Responsible for Hydrometeor Distributions and Precipitation. Adv. Atmos. Sci. 41, 784-800, 10.1007/s00376-023-3069-7.
347. Lin, G., Z. Wang, Y. Chu, C. Ziegler, X.-M. Hu, M. Xue, B. Geerts, S. Paleri, A. Desai, K. Yang, M. Deng, and J. DeGraw, 2024: Airborne Measurements of Scale-Dependent Latent Heat Flux Impacted by Water Vapor and Vertical Velocity over Heterogeneous Land Surfaces During the CHEESEHEAD19 Campaign. J. Geo. Res., 129, e2023JD039586, https://doi.org/10.1029/2023JD039586.
348. Xu, X., R. Zhang, M. A. C. Teixeira, A. v. Niekerk, M. Xue, Y. Lu, H. Xue, R. Li, and Y. Wang, 2024: A parametrization scheme accounting for nonhydrostatic effects on the momentum flux of vertically-propagating orographic gravity waves: Formulas and preliminary tests in the model for prediction across scales (MPAS). J. Atmos. Sci.,  81,  805-817, https://doi.org/10.1175/JAS-D-23-0020.1.
349. Xu, X., Y. Ju, Q. Liu, K. Zhao, M. Xue, S. Zhang, A. Zhou, Y. Wang, and Y. Tang, 2024: Dynamics of two episodes of high winds produced by an unusually long-lived quasi-linear convective system in South China. J. Atmos. Sci., 81, 1449–1473.  https://doi.org/10.1175/JAS-D-23-0047.1.
350. Tong, C.-C., M. Xue, C. Liu, J. Luo, and Y. Jung, 2024: Development of Multi-Scale EnKF within GSI and Its Applications to Multiple Convective Storm Cases with Radar Reflectivity Data Assimilation Using the FV3 Limited Area Model Mon. Wea Rev., 152, 1839-1857.  https://doi-org/10.1175/MWR-D-23-0235.1.
351. Luo, L., M. Xue, X. Xu, L. Li, and Q. Zhang, 2024: Understanding Simulated Causes of Damaging Surface Winds in a Derecho-Producing Mesoscale Convective System near the East China Coast based on Convection-Permitting Simulations. Adv. Atmos. Sci. Accepted. https://doi.org/10.1007/s00376-024-3314-8.
352. Huang, Y., M. Xue, X.-M. Hu, E. Martin, H. M. Novoa, R. A. McPherson, C. Liu, M. Chen, Y. Hong, A. Perez, I. Y. Morales, J. L. T. Jara, and A. J. F. Luna, 2024: Increasing frequency and precipitation intensity of convective storms in the Peruvian Central Andes: Projections from convection-permitting regional climate simulations. https://doi.org/10.1002/qj.4820.
353. Huang, Y., M. Xue, X. Hu, E. Matin, H. Novoa, R. McPherson, C. Liu, K. Ikeda, R. Rasmussen, A. F. Prein, A. Perez, I. Morales, J. Ticona, A. J. Flores, 2024: Characteristics of Precipitation and Mesoscale Convective Systems over the Peruvian Central Andes in Multiple 5-Year Convection-Permitting Simulations. J. Geophy. Res. 129, e2023JD040394. https://doi.org/10.1029/2023JD040394.
354. Zhao, K.; Xu, X.; Xue, M.; Tan, Z.-M.; Huang, H.; Zhou, A.; Fan, X.; Liu, Q.; Wang, C.; Fang, J.; Lee, W.-C.; Zhang, Q.; Zhang, F.; Chen, G.; Yang, J. The Dynamics and Microphysical Characteristics of the Convection Producing the Record-Breaking Hourly Precipitation on 20 July 2021 in Zhengzhou, China. Remote Sens. 2023, 15, 4511. https://doi.org/10.3390/rs15184511.
355. Li, H., M. Xue, and K. Zhu, 2024: Initiation of the Kaiyuan tornadic supercell of 3 July 2019 by convection-triggered internal gravity waves. Mon. Wea. Rev. https://doi.org/10.1175/MWR-D-23-0248.1.
356. Li, M., X. Xu, M. A. C. Teixeira, M. Xue, H. Xue, K. Zhu, and H. Huang, 2024: Improved Orographic Gravity Wave Drag Parameterization Accounting for the Nonhydrostatic Effect in the Weather Research and Forecasting Model: Tests for Short-Range Forecast of Northeast China Cold Vortices. Mon. Wea Rev., https://doi.org/10.1175/MWR-D-24-0097.1..
357. Fan, Z., M. Xue, K. Zhu, D. Yao, and H. Wang, 2024: Initiation of prefrontal convection within a northeast China cold vortex: The role of elevated front and dry air intrusion. Quart J. Roy. Met. Soc., https://doi.org/10.1002/qj.4870.
358. Johnson, M., N. Snook, J. Park, M. Xue, K. A. Brewster, T. Supinie, and X.-M. Hu, 2024: Severe weather verification of a FV3-LAM regional ensemble during the 2022 NOAA Hazardous Weather Testbed Spring Forecasting Experiment. Wea. Forecasting, Conditionally accepted.
359. Gao, J., P. L. Heinselman, M. Xue, L. J. Wicker, N. Yussouf, D. J. Stensrud, and K. K. Droegemeier, 2024: The Numerical Prediction of Severe Convective Storms: Advances in Research and Applications, Remaining Challenges, and Outlook for the Future. In Elsevier Reference Collection in “Earth Systems and Environmental Sciences”, Elsevier, 1-22. https://doi.org/10.1016/B978-0-323-96026-7.00127-2.
360. Snook, N., J. Park, M. Xue, K. A. Brewster, M. Johnson, T. Supinie, X.-M. Hu, J. R. Carley, S. Liu, and M. Hu, 2024: Evaluation of CAPS convection-allowing FV3-LAM ensembles during the 2022 HWT spring forecasting experiment to inform the design of the Rapid Refresh Forecast System (RRFS) Wea. and Forecasting, Conditionally accepted.
361. Johnson, M., and M. Xue, 2024: Assimilation of Radar ZDR Observations using Ensemble Kalman Filter for the 31 May 2013 Oklahoma Storm Event: Sensitivity Experiments on Data Assimilation Configurations to Optimize the Analysis of Microphysical States. Mon. Wea. Rev., To be submitted.
362. Mahale, V. N., J. C. Snyder, G. Zhang, M. Xue, and H. B. Bluestein, 2024: Rapid-scan dual-polarization radar observations of the 14 June 2011 Norman, Oklahoma, downburst and associated gust front and rotors. Mon. Wea. Rev., Conditionally accepted.
363. Yao et al. 2024. Xingxiang Rainfall.

1. Xue, M. and A. J. Thorpe, 1989: A nonhydrostatic mesoscale model in sigma-coordinates and its applications, Preprint, 5th Scientific Assembly of the IAMAP, Reading, England.
2. Xue, M. and A. J. Thorpe, 1989: Numerical study of deep orographic convection, Preprint, XIV General Assembly of the European Geophysical Society, Barcelona, Spain.
3. Xue, M. and A. J. Thorpe, 1990: A numerical study on dry and moist lee waves based on real soundings, Preprint of the AMS 5th Conference on Mountain Meteorology, Boulder, Colorado.
4. Xue, M., 1990: Towards the environmental condition for long-lived squall lines: vorticity versus momentum. Preprints, 16th Conf. on Severe Local Storms, Kananaskis Provincial Park, Alberta, Canada, Oct. 22-26, Amer. Meteor. Soc., 24-29.
5. Droegemeier, K.K., M. Xue, P.V. Reid, J. Bradley III, and R. Lindsay, 1991: Development of the CAPS Advanced Regional Prediction System (ARPS): An adaptive, massively parallel, multi-scale prediction model. Preprints. 9th Conference on Numerical Weather Prediction, Denver, Amer. Meteor. Soc., 289-292.
6. Xue, M., K.K. Droegemeier, and P.R. Woodward, 1993: Simulation of tornado vortices within a supercell storm using adaptive grid refinement technique. Preprints, 17th Conf. on Severe Local Stenns, St. Louis, MO, Amer. Meteor. Soc., 362-365.
7. Chrisochoides, N., K.K. Droegemeier, G. Fox, K. Mills, and M. Xue, 1993: A methodology for developing high performance computing models: Storm-scale weather prediction. Proc., Society for Computer Simulation Multiconference, March 29-April 1, Arlington, VA.
8. Droegemeier, K.K., G. Bassett, and M. Xue, 1994: Very highresolution, uniform-grid simulations of deep convection on a massively parallel processor: Implications for small-scale predictability. Preprints, 10th Conference on Numerical Weather Prediction, Amer. Meteor. Soc., Portland, OR, 376-379.
9. Jin, H., M. Xue, Q. Xu, and K.K. Droegemeier, 1994: Numerical simulation of cold-air damming. Preprints, 6th Conference on Mesoscale Processes, American Meteorological Society, Portland, 542-543.
10. Wong, V., M. Xue, K. Droegemeier, Y. Liu, A. Sathye, and X. Song, 1994: Parameterization of physical processes in a storm-scale model. Preprints, I Oth Conf. on Num. Wea. Pred., American Meteorological Society, Portland, J2843 1.
11. Xue, M., K. Brewster, K. Droegemeier, V. Wong, Y. Liu, and M. Zou, 1995: Application of the advanced regional prediction system (ARPS) to real-time operational forecasting. Proc., 14th Conf. on Wea. and Forecasting, 15-20 Jan., Amer. Meteor. Soc., Dallas, TX.
12. Xue. M., K.K. Droegemeier, V. Wong, 1995: Advanced Regional Prediction System (ARPS) and real-time storm prediction, Preprint, International workshop on limited-area and variable resolution models. Beijing, China, 23-27, Oct. 1995. 7pp.
13. Droegemeier, K. K., and M. Xue, 1995: Realtime numerical prediction of storm-scale weather at the Center for Analysis and Prediction of Storms (CAPS): Strategies and preliminary results. Proceedings, UJST Workshop on the Technology of Disaster Prevention Against Local Severe Storms. Norman, OK, USA. 10pp.
14. Janish, P.R., K.K. Droegemeier, M. Xue, K. Brewster, and J. Levit, 1995: Evaluation of the advanced regional prediction system (ARPS) for storm-scale modeling applications in operational forecasting. Proc., 14th Conf. on Wea. and Forecasting, 15-20 Jan., Amer. Meteor. Soc., Dallas, TX.
15. Brewster, K., S. Albers, F. Carr, M. Xue, 1995: Initializing a nonhydrostatic forecast model using WSR-88D data and OLAPS. Preprint, Conf. Radar Meteor., Vail, CO.
16. Wang, Z., K.K. Droegemeier, M. Xue, and S.K. Park, 1995: Sensitivity analysis of a 3-D compressible storm-scale to input parameters. Proc., Int. Symp. on Assimilation of Observations in Meteor. and  Oceanography. 13-17 March, World Meteorological Organization, Tokyo.
17. Droegemeier, K. K., G. Bassett, D. K. Lilly, and M. Xue, 1996: Does helicity really play a role in supercell longevity? Preprints, 18th Conf on Severe Local Storms. Amer. Meteor. Soc., San Francisco, CA, 205-209.
18. Droegemeier, K. K., M. Xue, A. Sathye, K. Brewster, G. Bassett, J. Zhang, Y. Liu, M. Zou, A. Crook, V. Wong, R. Carpenter, and C. Mattocks, 1996: Real-time numerical prediction of storm-scale weather during VORTEX-95. Part I: Goals and methodology. Preprint: 18th Conf. on Severe Local Storms, 19-23 Feb., Amer. Meteor. Soc., San Francisco, CA., 6-10.
19. Droegemeier, K. K., M. Xue, K. Brewster, Y. Liu, S. Park, F. Carr, J. Mewes, J. Zong, A. Sathye, G. Bassett, M. Zou, R. Carpenter, D. McCarthy, D. Andra, P. Janish, R. Graham, S. Sanielvici, J. Brown, B. Loftis, and K. McLain, 1996: The 1996 CAPS spring operational fore,casting period: realtime storm-scale NWP, Part I: Goals and methodology. Preprint, 11th Conf on Num. Wea. Pred Amer. Meteor. Soc., Norfolk, VA., 194-296.
20. Xue, M., Q. Xu, and K.K. Droegemeier, 1996: A Theoretical and numerical study of density currents in non-constant shear flows. Preprint. 7th Conf. Mesoscale Processes., Amer. Metero. Soc., Reading, U.K.
21. Xue, M., K.K. Droegemeier, D. Wang, and K. Brewster, 1996: Prediction and simulation of a multiple squall line case during VORTEX-95. Preprint: 18th Conf. on Severe Local Storms, 19-23 Feb., Amer. Meteor. Soc., San Franciscon, CA., 169-173
22. Xue, M., K. Brewster, Droegemeier , K. K., F. Carr, V. Wong, Y. Liu, A. Sathye, G. Bassett, P. Janish, J. Levit, P. Bothwell, 1996: Real time prediction of storm-scale weather during VORTEX-95, Part II: Operation summary and example cases. Preprint: 18th Conf. on Severe Local Storms, 19-23 Feb., Amer. Meteor. Soc., San Franciscon, CA., 178-182.
23. Xue, M., J. Zong, and K. K. Droegemeier, 1996: Parameterization of PBL turbulence in a multi-scale non-hydrostatic model. Preprint, 11th AMS conference on Numerical Weather Prediction. Amer. Metero. Soc., Norfolk, VA., 363-365.
24. Xue, M., K. Brewster, K. K. Droegemeier, V. Wong, D. H. Wang, F. Carr, A. Shapiro, L. M. Zhao, S. Weygandt, D. Andra, and P. Janish, 1996: The 1996 CAPS spring operational forecasting period - real time storm-scale NWP, Part II: Operational summary and examples. Preprint, 11th AMS Conference on Numerical Weather Prediction. Ameri. Metero. Soc., Norfolk, VA., 297-300.
25. Wang, D., M. Xue, V. Wong and K. K. Droegemeier, 1996: Prediction and simulation of convective storms during VORTEX 95. Preprint, 11th AMS conference on Numerical Weather Prediction. Amer. Metero. Soc., Norfolk, VA., 301-303.
26. Adlerman, E., K.K. Droegemeier, and M. Xue, 1996: Numerical simulations of cyclic mesocyclogenesis. Preprint: 18th Conf. on Severe Local Storms, 19-23 Feb., Amer. Meteor. Soc., San Francisco, CA.
27. Wong, V., M. Xue, K.K. Droegemeier, X. Song, D. Wang, Y. Liu, J. Zhang and L. Zhao, 1996: Impact of Physics on the development of severe storms during VORTEX 95. Preprint: 18th Conf. on Severe Local Storms, 19-23 Feb., Amer. Meteor. Soc., San Francisco, CA.
28. Hou, D., and M. Xue, 1997: A numerical simulation of the structure of Meiyu front over eastern China and the associated low-level jet. Proceedings, Third international study conf. on GEWEX in Asia and GAME. Cheju, Korea. 259-264.
29. Hou, D., and M. Xue, 1998: A numerical simulation of meso-(x scale rainbands associated with Meiyu front over eastern China. Preprints, 12th Conf. Num. Wea. Pred., Phoenix, AZ. 53-56.
30. Xue, M., D.-C. Hou, D.-H. Wang, and K. K. Droegemeier, 1998: Analysis and prediction of convective initiation along a dryline. 16th Conf. Wea. Analy. Forecasting. Amer. Meteor. Soc., Phoenix, AZ., 161-163.
31. Xue, M., D.-H. Wang, D.-C. Hou, K. Brewster, and K. K. Droegemeier, 1998: Prediction of the 7 May 1995 squall lines over the central US with intermittent data assimilation. 12th Conf. Num. Wea. Prediction. Amer. Meteor. Soc., Phoenix, AZ., 191-194.
32. Wang, D., M. Xue, D. Hou, and K. K. Droegemeier, 1998: Midlatitude squall line propagation and structure as numerically simulated by a nonhydrostatic stormscale model. 12th Conf. Num.Wea. Pre. Amer. Meteor. Soc., Phoenix, Arizona. 209-212.
33. Carpenter, R., K.K. Dreogemeier, G. Bassett, K. Brewster, D. Jahn, J. Levit, M. Xue, W.L. Qualley, and R. Strasser, 1998: Storm-scale NWP for commercial aviation: Results from realtime operational tests in 1996-1997. Preprints, 12th Conf Num. Wea. Pre. Amer. Meteor. Soc., Phoenix, AZ, 213-216.
34. Doyle, J. D., D. R. Durran, B. A. Colle, C. Chen, M. Georgelin, V. Grubisic, W. R. Hsu, C. Y. Huang, D. Landau, Y. L. Lin, G. S. Poulos, W.Y.Sun, D. B. Weber, M. G. Wurtele, and M. Xue, 1998: An intercomparision of model predicted wave breaking for the 11 January 1972 Boulder Windstorm. Preprint, Conf. Mount. Meteor., Amer. Metero. Soc.
35. Gao, J., M. Xue, Z. Wang, and K. K. Droegemeier, 1998: The initial condition and explicit prediction of convection using ARPS adjoint and other retrievals methods with WSR-88D data. 12th Conf. Num.  Wea. Prediction. Amer. Metero. Soc., Phoenix AZ, 176-178.
36. Gao, J., S. Weygandt, M. Xue, A. Shapiro, Q. Xu and K.K. Droegemeier, 1998: Application of a simple adjoint wind retrieval to a tornadic supercell storm. Preprints, 19th Conf, On Severe Local Storms, Amer. Meteor. Soc., Minneapolis, MN.
37. Gao, J., M. Xue, A. Shapiro, and K.K. Droegemeier, 1998: A 3D variational storm-scale wind analysis from dual-Doppler radar. Preprints, 19th Conf, On Severe Local Storms, Amer. Meteor. Soc., Minneapolis, MN.
38. Shin, K.-S., S.-K. Chung, S.-Y. Lee, H.-D. Yoo, D.-I. Lee, M. Xue, K. Brewster, G. Bassett, S.-K. Park, K.K. Dreogemeier, 1998: Explicit realtime operational prediction of deep convection over Korea. Preprints, 16 1h Conf. on Wea. Anal. Forecasting, Amer. Metero. Soc., Phoenix, AZ, 135-137.
39. Wong, V., M. Xue, Y. Liu, X. Tan, L. Wang, and K.K. Droegemeier, 1998: Effect of land cover on the numerical predictions of convective storms, Preprints, 12th Conf. on Num. Wea. Pred., Amer. Meteor. Soc., Phoenix, AZ, 157-160.
40. Zong, J., K.K Doegemeier, and M. Xue, 1998: Impact of observations in the numerical prediction of the 17 August Lahoma supercell hailstorm. Preprint, 16'h Conf. Wea. Forecasting. Amer. Meteor. Soc. Phoenix AZ 289-291
41. Xue, M., 1999, The Advanced Regional Prediction System (ARPS) and Its Applications. Extended abstract, Workshop on Mesoscale Numerical Weather Prediction and its Applications, Japan Meteor. Agency. Tokyo.
42. Xue, M., J. Gao and S. Weygandt, 1999, Single-Doppler Velocity Retrievals and Their Applications, Extended abstract, Workshop on Mesoscale Numerical Weather Prediction and its Applications, Japan Meteor. Agency. Tokyo., 77-80.
43. Gao, J., M. Xue, A. Shapiro, Q. Xu, K.K Droegemeier, 1999: Three-dimensional simple adjoint retrievals using WSR-88D radar data. Preprints, 8th Conf. Mesoscale Meteorology. Amer. Meteoro. Soc., Boulder CO.
44. Gao, J., M. Xue, A. Shapiro, and K.K. Droegemeier, 1999: Three-dimensional variational wind retrievals from single Doppler radar, Preprint, 29th Int. Conf. Radar Meteoro., Montreal, Canada.
45. Gao, J., M. Xue, K. Brewster, F. Carr, and K. K. Droegemeier, 2001: The Three-dimensional variational data assimilation scheme for a storm-scale model. 14th Conf. Num. Wea. Pre., Amer. Metero. Soc., Ft. Lauderdale, FL. J71-J73.
46. Gao, J., M. Xue, K. K. Droegemeier, and A. Shapiro, 2001: A 3-D variational method for single-Doppler velocity retrieval applied to a supercell storm case. Preprint, 30th Int. Conf. Radar Meteor. Amer. Metero. Soc., Munich, Germany, 456-458.
47. Wang, D., K. K. Droegemeier, D. Jahn, K.-M. Xu, M. Xue, and J. Zhang, 2001: Nids-based intermittent diabatic assimilation and application to storm-scale numerical weather prediction. Preprint, 14th Conf. on Num. Wea. Pred., Ft. Lauderdale, Florida, Amer. Met. Soc.
48. Yu, X., M. Xue, L. Yang, and L. Gruenwald, 2002: A spatial data mining approach for verification and understanding of ensemble precipitation forecasting. Symp Obs, Data Assimi, and Probabilistic Pred, Olando, FL.
49. Gao, J., M. Xue, K. Brewster, F. Carr, and K. K. Droegemeier, 2002: New Development of a 3DVAR system for a nonhydrostatic NWP modeol. Preprint, 15th Conf. Num. Wea. Pred. and 19th Conf. Wea. Aanl. Forecasting, San Antonio, TX, Amer. Meteor. Soc.
50. Hu, M. and M. Xue, 2002: Sensitivity of model thunderstorms to modifications to the environmental conditions by a nearby thunderstorm in the prediction of 2000 fort Worth tornado case. Preprint, 15th Conf. Num. Wea. Pred. and 19th Conf. Wea. Aanl. Forecasting, San Antonio, TX, Amer. Meteor. Soc.
51. Nutter, P., D. Stensrud, and M. Xue, 2002: Effects of nesting frequency and lateral boundary perturbations on the dispersion of limited-area ensemble forecasts. Preprint, 15th Conf. Num. Wea. Pred. and 19th Conf. Wea. Aanl. Forecasting, San Antonio, TX, Amer. Meteor. Soc.
52. Ren, D., M. Xue, and J. Gao, 2002: Parameter retrieval in a land-surface model. Preprint, 15th Conf. on Num. Wea. Pred. and 19th Conf. on Wea. Anal. Forecasting, San. Antonio, TX, Amer. Meteor. Soc.
53. Xue, M., K. Brewster, D. Weber, K. W. Thomas, F. Kong, and E. Kemp, 2002: Realtime storm-scale forecast support for IHOP 2002 at CAPS. Preprint, 15th Conf. Num. Wea. Pred. and 19th Conf. Wea. Aanl. Forecasting, San Antonio, TX, Amer. Meteor. Soc.
54. Dawson, D. T., II and M. Xue, 2004: Impact of mesoscale data, cloud analysis on the explicit prediction of a MCS during IHOP 2002. Extended Abstract, 20th Conf. Wea. Analy. Forecasting/16th Conf. Num. Wea. Pred., Amer. Meteor. Soc., Seattle, WA.
55. Droegemeier, K. K., V. Chandrasekar, Richard Clark, Dennis Gannon, Sara Graves, Everette Joseph, Mohan Ramamurthy, Robert Wilhelmson, Keith Brewster, Ben Domenico, Theresa Leyton, Vernon Morris, Donald Murray, Beth Plale, Rahul Ramachandran, Daniel Reed, John Rushing, Daniel Weber, Anne Wilson, Ming Xue, Sepideh Yalda, 2004: Linked environments for atmospheric discovery (LEAD): A cyberinfrastructure for mesoscale meteorology research and education. 20th Conf. Interactive Info. Proc. Sys (IIPS), Seattle, WA, Amer. Meteor. Soc.
56. Liu, H. and M. Xue, 2004: 3DVAR retrieval of 3D moisture field from slant-path water vapor observations of a high-resolution hypothetical GPS network. Extended Abstract, 20th Conf. Wea. Analy. Forecasting/16th Conf. Num. Wea. Pred., Seattle, WA, Amer. Meteor. Soc.
57. Martin, W. J. and M. Xue, 2004: Initial condition sensitivity analysis of a mesoscale forecast using very-large ensembles. Extended Abstract, 20th Conf. Wea. Analy. Forecasting/16th Conf. Num. Wea. Pred., Seattle, WA, Amer. Meteor. Soc.
58. Ren, D. and M. Xue, 2004: 4DVAR assimilation of ground temperature for the estimation of soil moisture and temperature.
59. Tong, M. and M. Xue, 2004: Ensemble Kalman filter assimilation of Doppler radar data with a compressible nonhydrostatic model. Extended Abstract, 20th Conf. Wea. Analy. Forecasting/16th Conf. Num. Wea. Pred., Seattle, WA, Amer. Meteor. Soc.
60. Xue, M. and D. Ren, 2004: Testing of several recent modifications to ARPS land surface model. 18th Conf. Hydro., Seattle, WA, Amer. Meteor. Soc., CDROM, JP4.16.
61. Nutter, P., M. Xue, and D. Stansrud, 2004: On the need for perturbed LBCs in limited-area ensemble forecasts. Extended Abstract, 20th Conf. Wea. Analy. Forecasting/16th Conf. Num. Wea. Pred., Amer. Meteor. Soc., Seattle, WA.
62. Hu, M., M. Xue, J. Gao, and K. Brewster, 2004: Prediction of Fort Worth tornadic thunderstorms using 3DVAR and cloud analysis with WSR-88D Level-II data. 11th Conf. Aviation, Range, Aerospace and 22nd Conf. Severe Local Storms, Amer. Meteor. Soc., CDROM, J1.2.
63. Xue, M., M. Tong, and K. K. Droegemeier, 2005: Impact of radar configuration and scan strategy on assimilation of radar data using ensemble Kalman filter. 9th Symp. Integrated Observing Assimilation Systems Atmosphere, Oceans, Land Surface, Amer. Meteor. Soc., CDROM, 9.3.
64. Hu, M. and M. Xue, 2005: Impact of configurations of rapid intermittent assimilation of WSR-88D radar data for the 8 May 2003 Oklahoma City tornadic thunderstorm case. Extended Abstract, 17th Conf. Num. Wea. Pred., Amer. Metero. Soc., 13.2.
65. Liu, H., M. Xue, R. J. Purser, and D. F. Parrish, 2005: Retrieval of moisture from GPS slant-path water vapor observations using 3DVAR with recursive filters. Extended abstract, 17th Conf. Num. Wea. Pred., Washington DC, Amer. Meteor. Soc., 14B.6
66. Tong, M. and M. Xue, 2005: Simutaneous retrieval of microphysical parameters and atmospheric state variables with radar data and ensemble Kalman filter method. Extended abstract, 17th Conf. Num. Wea. Pred., Washington DC, Amer. Meteor. Soc., P1.30.
67. Liu, S., M. Xue, J. Gao, and D. Parrish, 2005: Analysis and impact of super-obbed Doppler radial velocity in the NCEP grid-point statistical interpolation (GSI) analysis system. Extended abstract, 17th Conf. Num. Wea. Pred., Washington DC, Amer. Meteor. Soc., 13A.4.
68. Jung, Y., M. Xue, and J. M. Straka, 2005: Assimilation of polarimetric radar data using ensemble Kalman filter: Experiments with simulated data. Extended abstract, 17th Conf. Num. Wea. Pred., Washington DC, Amer. Meteor. Soc., 13A.3.
69. Godfrey, E. S., M. Tong, M. Xue, and K. K. Droegemeier, 2005: Assimilation of simulated network radar data of veried storm types using EnSRF for convective storm analysis and forecasts. Extended abstract, 17th Conf. Num. Wea. Pred., Washingtong DC, Amer. Meteor. Soc., 13A.1.
70. Zhou, Y., J. Gao, K. Brewster, M. Hu, and M. Xue, 2005: Combining phase error correction and 3DVAR in storm-scale data assimilation. Extended Abstract, 17th Conf. Num. Wea. Pred., Washington DC, Amer. Meteor. Soc. P1.75.
71. Brewster, K., M. Hu, M. Xue, and J. Gao, 2005: Efficient assimilation of radar data at high resolution for short-range numerical weather prediction. WWRP International Symposium on Nowcasting and Very Short range Forecasting, CDROM 3.06.
72. Gao, J., C. Nuttall, C. Gilreath, M. Xue, K. Brewster, and K. Droegemeier, 2005: Multiple Doppler Wind Analysis and Assimilation via 3DVAR using Simulated Observations of the Planned CASA Network and WSR-88D Radars   32nd Conf. Radar Meteor., Albuquerque, NM, Amer. Meteor. Soc., CDROM J1J.4.
73. Gao, J., K. Brewster, and M. Xue, 2005: Differences Between Explicit and Approximated Radar Ray Paths Due to Vertical Gradient of Refractivity   32nd. Conf. Radar Meteor., Albuquerque, NM, Amer. Meteor. Soc., CDROM JP1J.14.
74. Lyons, E. J., V. Lakamraju, K. Brewster, M. Xue, and K. D. Hondl, 2005: An end-to-end emulation of the CASA radar network   32nd Conf. Radar Meteor., Albuquerque, NM, Amer. Meteor. Soc., CDROM 14R.3.
75. May, R. M., M. I. Biggerstaff, and M. Xue, 2005: The detectability of tornadic signatures with Doppler radar: A radar emulator study   32nd Conf. Radar Meteor., Albuquerque, NM, Amer. Meteor. Soc., CDROM P15R.1.
76. Potvin, C. K., A. M. Shapiro, T.-Y. Yu, and M. Xue, 2005: Characterizing tornadoes in multiple-Doppler radar data using a low-order model   32nd Conf. Radar Meteor., Albuquerque, NM, Amer. Meteor. Soc., CDROM P4R.4.
77. Martin, W. J. and M. Xue, 2005: A comparison of sensitivity analyses from three methods: An adjoint, a very large ensemble, and a new method of random perturbations. Preprint, 11th Conf. Mesoscale Processes, CDROM 1M.1.
78. Xue, M., M. Hu, and M. Tong, 2006: Assimilation of radar data and short-range prediction of thunderstorms using 3DVAR, cloud analysis and ensemble Kalman filter methods. Abstract submitted to the 12th Conf. Aviation Range Aerospace Meteor., 2006, Atlanta, Georgia, Amer. Meteor. Soc.
79. Xue, M., 2006: Data assimilation and prediction at the convective scale: Recent progresses. Preprint, 4th Joint US-Korea Workshop on Mesoscale Observation, Data Assimilation and Modeling for Severe Weather, Seoul, Korea.
80. Gao, J. and M. Xue, 2006: An efficient dual-resolution ensemble data assimilation approach and tests with the assimilation of Doppler radar data. Extended abstract, 10th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans and Land Surface (IOAS-AOLS), Atlanta, GA, Amer. Meteor. Soc., CDROM 2.6.
81. Snook, N. and M. Xue, 2006: Sensitivity of tornadogenesis in very-high-resolution numerical simulations to variations in model microphysical parameters. Extended Abstract, Conf. Severe Local Storms, Amer. Meteor. Soc., CDROM 16.4.
82. Potvin, C. K., A. Shapiro, T.-Y. Yu, and M. Xue, 2006: Using a low-order model to characterize tornadoes in multiple Doppler radar data. Preprint, 22nd Int. Conf. Interactive Info. Proc. Sys. Meteor. Oceanography. Hydro., Atlanta, Amer. Meteor. Soc., CDROM P2.15..
83. Godfrey, E. S., K. Droegemeier, M. Xue, and M. Tong, 2007: Assimilation of simulated CASA radar data of varied storm types using EnSRF for convective storm analyses and forecasts. Preprint, 11th Symp. Integrated Obs. Assimilation Sys. Atmos. Oceans Land Surface (IOAS-AOLS), CDROM 3.11.
84. Brewster, K. A., K. W. Thomas, J. Brotzge, Y. Wang, D. Weber, and M. Xue, 2007: High resolution data assimilation of CASA X-band radar data for thunderstorm forecasting. 22nd Conf. Wea. Anal. Forecasting/18th Conf. Num. Wea. Pred., Salt Lake City, Utah, Amer. Meteor. Soc., CDROM 1B.1.
85. Dawson, D. T., II, M. Xue, J. A. Milbrandt, M. K. Yau, and G. Zhang, 2007: Impact of multi-moment microphysics and model resolution on predicted cold pool and reflectivity intensity and structures in the Oklahoma tornadic supercell storms of 3 May 1999. 22nd Conf. Wea. Anal. Forecasting/18th Conf. Num. Wea. Pred., Salt Lake City, Utah, Amer. Meteor. Soc., CDROM 10B.2.
86. Dong, J., M. Xue, and K. Droegemeier, 2007: The impact of high-resolution surface observations on convective storm analysis with ensemble Kalman filter. 22nd Conf. Wea. Anal. Forecasting/18th Conf. Num. Wea. Pred., Salt Lake City, Utah, Amer. Meteor. Soc., CDROM P1.42.
87. Gao, J. and M. Xue, 2007: The issue of data density and frequency with EnKF radar data assimilation in a compressible nonhydrostatic NWP model. 22nd Conf. Wea. Anal. Forecasting/18th Conf. Num. Wea. Pred., Salt Lake City, Utah, Amer. Meteor. Soc., CDROM P1.44.
88. Hu, M., S. S. Weygandt, M. Xue, and S. G. Benjamin, 2007: Development and testing of a new cloud analysis package using radar, satellite, and surface cloud observations within GSI for initializing rapid refresh. 22nd Conf. Wea. Anal. Forecasting/18th Conf. Num. Wea. Pred., Salt Lake City, Utah, Amer. Meteor. Soc., CDROM P2.5.
89. Hu, M. and M. Xue, 2007: Analysis and prediction of 8 May 2003 Oklahoma City tornadic thunderstorm and embedded tornado using ARPS with assimilation of WSR-88D radar data. 22nd Conf. Wea. Anal. Forecasting/18th Conf. Num. Wea. Pred., Salt Lake City, Utah, Amer. Meteor. Soc., CDROM 1B.4.
90. Xue, M., F. Kong, D. Weber, K. W. Thomas, Y. Wang, K. Brewster, K. K. Droegemeier, J. S. K. S. J. Weiss, D. R. Bright, M. S. Wandishin, M. C. Coniglio, and J. Du, 2007: CAPS realtime storm-scale ensemble and high-resolution forecasts as part of the NOAA hazardous weather testbed 2007 spring experiment. 22nd Conf. Wea. Anal. Forecasting/18th Conf. Num. Wea. Pred., Salt Lake City, Utah, Amer. Meteor. Soc., CDROM 3B.1.
91. Kong, F., M. Xue, Kelvin K. Droegemeier, D. Bright, M. C. Coniglio, K. W. Thomas, Y. Wang, D. Weber, J. S. Kain, S. J. Weiss, and J. Du, 2007: Preliminary analysis on the real-time storm-scale ensemble forecasts produced as a part of the NOAA hazardous weather testbed 2007 spring experiment. 22nd Conf. Wea. Anal. Forecasting/18th Conf. Num. Wea. Pred., Salt Lake City, Utah, Amer. Meteor. Soc., CDROM 3B.2.
92. Weiss, S. J., J. S. Kain, D. R. Bright, J. J. Levit, G. W. Carbin, M. E. Pyle, Z. I. Janjic, B. S. Ferrier, J. Du, M. L. Weisman, and M. Xue, 2007: The NOAA Hazardous Weather Testbed: Collaborative testing of ensemble and convection-allowing WRF models and subsequent transfer to operations at the Storm Prediction Center. 22nd Conf. Wea. Anal. Forecasting/18th Conf. Num. Wea. Pred., Salt Lake City, Utah, Amer. Meteor. Soc., CDROM 6B.4.
93. Liu, H. and M. Xue, 2007: Prediction of convective initiation and storm evolution on 12 June 2002 during IHOP_2002. 22nd Conf. Wea. Anal. Forecasting/18th Conf. Num. Wea. Pred., Salt Lake City, Utah, Amer. Meteor. Soc., CDROM 9B.3.
94. Martin, W. J. and M. Xue, 2007: Prediction of the timing of convective initiation along a dryline in a high-resolution model. 22nd Conf. Wea. Anal. Forecasting/18th Conf. Num. Wea. Pred., Salt Lake City, Utah, Amer. Meteor. Soc., CDROM 9B.6.
95. Zhang, G., M. Xue, D. D. Dawson, and Q. Cao, 2007: Diagnosing the intercept parameter for exponential rain drop size distribution based on video disdrometer observations. 22nd Conf. Wea. Anal. Forecasting/18th Conf. Num. Wea. Pred., Salt Lake City, Utah, Amer. Meteor. Soc., CDROM 10B.3.
96. Lei, T., M. Xue, T. Yu, and M. Teshiba, 2007: Study on the optimal scanning strategies of phase-array radar through ensemble Kalman filter assimilation of simulated data. 33rd Int. Conf. Radar Meteor., Cairns, Australia, Amer. Meteor. Soc., CDROM P7.1.
97. Liou, Y.-C., G.-J. Huang, M. Xue, and M. Tong, 2007: Doppler radar data assimilation over terrain using ensemble Kalman filter. 33rd Int. Conf. Radar Meteor., Cairns, Australia, Amer. Meteor. Soc., CDROM P4.1.
98. Gao, J., G. Ge, M. Xue, and K. K. Droegemeier, 2007: Assimilation of CASA and WSR-88D radar data via 3DVAR to improve short term convective weather forecasting. 33rd Int. Conf. Radar Meteor., Cairns, Australia, Amer. Meteor. Soc., CDROM P4.8.
99. Teshiba, M., T.-Y.Yu, G. E. Crain, and M. Xue, 2007: A monopulse system: Applications for weather radar observations. 33rd Int. Conf. Radar Meteor., Cairns, Australia, Amer. Meteor. Soc., CDROM P8B.7.
100. Alberts, T. A., P. B. Chilson, B. L. Cheong, R. D. Palmer, and M. Xue, 2007: Evaluation of binary phase coded pulse compression schemes using a Time-Series weather radar simulator   33rd Int. Conf. Radar Meteor., Cairns, Australia, Amer. Meteor. Soc., CDROM 7.7.
101. Potvin, C. K., A. M. Shapiro, T. Y. Yu, J. Gao, and M. Xue, 2007: Using a low-order model to detect and characterize tornadoes in multiple-Doppler radar data. 33rd Int. Conf. Radar Meteor., Cairns, Australia, Amer. Meteor. Soc., CDROM P13A.13.Alberts, T. A., P. B.
102. Chilson, B. L. Cheong, R. D. Palmer, and M. Xue, 2008: High resolution weather radar through pulse compression. Symp. Recent Develop. Atmos. Applications Radar Lidar New Orleans, LA, P1.15.
103. Brewster, K. A., J. Brotzge, K. W. Thomas, Y. Wang, M. Xue, J. Gao, D. Weber, and K. Howe, 2008: High resolution assimilation of CASA and NEXRAD radar data in near-real time: Results from Spring 2007 and plans for Spring of 2008. 12th Conf. IOAS-AOLS, New Orleans, LA, Amer. Meteor. Soc.
104. Brotzge, J., K. Brewster, J. Gao, and M. Xue, 2008: Interaction of gravity waves and horizontal convective rools: Observations from CASA collected 24 April 2007. 12th Conf. IOAS-AOLS, New Orleans, LA, Amer. Meteor. Soc., 9A.10.
105. Gao, J., K. Brewster, Y. Wang, K. W. Thomas, J. Brotzge, and M. Xue, 2008: High-resolution three-dimensional wind analysis of CASA IP-1 and WSR-88D radar data using the ARPS 3DVAR. 12th Conference on IOAS-AOLS, New Orleans, LA, Amer. Meteor. Soc., 16.5.
106. Lei, T., M. Xue, T. Yu, and M. Teshiba, 2008: Impact of spatial over-sampling by phased-array radar on convective-storm analysis using ensemble Kalman filter and simulated data. Symp. Recent Develop. Atmos. Applications Radar Lidar New Orleans, LA, Amer. Meteor. Soc., P2.17.
107. Potvin, C. K., A. M. Shapiro, T. Y. Yu, J. Gao, and M. Xue, 2008: Using a low-order model to detect and characterize tornadoes in multiple-Doppler radar data. Symp. Recent Develop. Atmos. Applications Radar Lidar New Orleans, LA, Amer. Meteor. Soc.
108. Schenkman, A. D., A. M. Shapiro, K. Brewster, M. Xue, J. Gao, and N. Snook, 2008: High resolution assimilation of CASA radar data from a tornadic convective system. Symp. Recent Develop. Atmos. Applications Radar Lidar New Orleans, LA, Amer. Meteor. Soc.
109. Weber, D., K. K. W. Thomas, K. Droegemeier, K. A. Brewster, Y. Wang, M. Xue, S. Marru, D. Gannon, J. Alameda, B. F. Jewett, J. S. Kain, S. J. Weiss, and M. Christie, 2008: Use of the LEAD Portal for On-Demand Severe Weather Prediction. 6th Conf. Artificial Intelligence App. Env. Sci., Ameri. Meteor. Soc., J2.2.
110. Yeary, M., R. Palmer, G. Zhang, M. Xue, T. Yu, A. Zahrai, J. Crain, Y. Zhang, R. Doviak, Q. Xu, and P. Chilson, 2008: Development of a multi-channel receiver for the realization multi-mission capabilities at the national weather radar testbed. 24rd Conf. IIPS, New Orleans, LA, Amer. Meteor. Soc., 9A.3.
111. Zhang, G., Q. Cao, M. Xue, P. B. Chilson, M. P. Morris, R. D. Palmer, J. Brotzge, T. J. Schuur, E. A. Brandes, K. Iketa, A. V. Ryzhkov, D. S. Zrnic, and E. Jessup, 2008: A field experiment to study rain microphysics using video disdrometers, a profiler, and polarimetric S- and X-band radars. Symp. Recent Develop. Atmos. Applications Radar Lidar New Orleans, LA, Amer. Meteor. Soc., P2.23.
112. Potvin, C. K., A. Shapiro, T.-Y. Yu, J. Gao, and M. Xue, 2008: Evaluation of a new multiple-Doppler tornado detection and characterization technique using real radar observations. Extended abstract, 24th Conf. Several Local Storms, Savannah, GA, Ameri. Meteor. Soc., 16B.1.
113. Schenkman, A. D., M. Xue, A. Shapiro, K. Brewster, and J. Gao, 2008: Analysis of MCV tornadoes through storm-scale data assimilation and simulations. Extended abstract, 24th Conf. Several Local Storms, Savannah, GA, Ameri. Meteor. Soc., 9B.6.
114. Xue, M., F. Kong, K. W. Thomas, J. Gao, Y. Wang, K. Brewster, K. K. Droegemeier, J. Kain, S. Weiss, D. Bright, M. Coniglio, and J. Du, 2008: CAPS realtime storm-scale ensemble and high-resolution forecasts as part of the NOAA Hazardous Weather Testbed 2008 Spring Experiment. 24th Conf. Several Local Storms, Savannah, GA, Ameri. Meteor. Soc., Page 12.2.
115. Kong, F., M. Xue, M. Xue, K. K. Droegemeier, K. W. Thomas, Y. Wang, J. S. Kain, S. J. Weiss, D. Bright, and J. Du, 2008: Real-time storm-scale ensemble forecasting during the 2008 spring experiment. 24th Conf. Several Local Storms, Savannah, GA, Ameri. Meteor. Soc., Paper 12.3.
116. Lei, T., M. Xue, and T. Yu, 2009: Multi-scale analysis and prediction of the 8 May 2003 Oklahoma City tornadic supercell storm assimilating radar and surface network data using EnKF. Extended abstract, 13th Conf. of IOAS-AOLS, AMS Meetings 2008, Paper 6.4.
117. Charlotte E. Wainwright, M. Xue, G. Zhang, and D. T. Dawson, 2009: Microphysics schemes based on DSD-parameter constraints and their impact on convective storm forecasts. Preprint, 25th Conf. Sat. Meteor. Ocean., Phoenix, AZ., Amer. Meteor. Soc., Paper JP6.5.
118. David R. Bright, J. Huhn, S. J. Weiss, J. J. Levit, J. S. Kain, R. S. Schneider, M. C. Coniglio, M. Duquette, and M. Xue, 2009: Short-range and storm-scale ensemble forecast guidance and its potential applications in air traffic decision support. Preprint, Aviation, Range, Aerospace Meteorology Special Symposium Weather-Air Traffic Management Integration, Phoenix, AZ., Amer. Meteor. Soc., Paper P1.7.
119. Gao, J., J. A. Brotzge, K. Brewster, Y. Wang, K. W. Thomas, M. Xue, V. Chandrasekar, Y. Wang, B. D. Phillips, and M. Zink, 2009: High temporal and spatial resolution 2D wind analysis of CASA and WSR-88D radar data using the ARPS 3DVAR. 13th Conf. OAS-AOLS, Ameri. Meteor. Soc.
120. Gao, J., J. A. Brotzge, Y. Wang, K. W. Thomas, K. Brewster, M. Xue, V. Chandrasekar, Y. Wang, B. D. Phillips, and M. Zink, 2009: High Temporal and Spatial Resolution 2D Wind Analysis of CASA and WSR-88D Radar Data using the ARPS 3DVAR. Preprint, 13th Conf. IOAS-AOLS, Phoenix, AZ., Amer. Meteor. Soc., Paper 6.4.
121. Luchs, S., G. Zhang, A. V. Ryzhkov, M. Xue, L. Ryzhkova, and Q. Cao, 2009: Observations of snow particle size distribution with 2-D video disdrometer and polarimetric radar Preprint, 13th Conf. IOAS-AOLS, Phoenix, AZ., Amer. Meteor. Soc., Paper P2.5.
122. Potvin, C. K., A. M. Shapiro, T. Y. Yu, J. Gao, and M. Xue, 2009: Evaluation of a new multiple-Doppler tornado detection and characterization technique using real radar observations. Preprint, 25th Conf. IIPS for Meteor. Ocean. Hydro., Phoenix, AZ., Amer. Meteor. Soc., Paper 14.3.
123. Schwartz, C. S., J. S. Kain, D. R. Bright, S. J. Weiss, M. Xue, F. Kong, J. J. Levit, M. C. Coniglio, and M. S. Wandishin, 2009: Optimizing probabilistic high resolution ensemble guidance for hydrologic prediction. Preprint, 23rd Conf. Hydrology, Phoenix, AZ., Amer. Meteor. Soc., Paper 9.4.
124. Shimose, K.-i., M. Xue, R. D. Palmer, J. Gao, B. L. Cheong, and D. J. Bodine, 2009: Two-dimensional variational analysis of near-surface moisture from simulated radar refractivity-related phase change observations. Extended abstract, 13th Conf. of IOAS-AOLS, AMS Meetings 2008, Paper 14.3.
125. Stratman, D. R., D. R. Bright, S. J. Weiss, J. S. Kain, J. J. Levit, M. C. Coniglio, K. W. Thomas, F. Kong, and M. Xue, 2009: An Examination of Simulated Reflectivity Forecasts from a 10-Member Storm Scale Ensemble Prediction System Preprint, 25th Conf. IIPS for Meteor. Ocean. Hydro., Phoenix, AZ., Amer. Meteor. Soc., Paper P1.15.
126. Umemoto, Y., T. Lei, T. Y. Yu, and M. Xue, 2009: Observation Error Modeling and EnKF OSSEs Examining the Impact of Spatial and Temporal Resolutions and Errors of Phased-Array Radar
     Preprint, 13th Conf. IOAS-AOLS, Phoenix, AZ., Amer. Meteor. Soc., Paper P1.6.
127. Yeary, M., R. Palmer, G. E. Crain, M. Xue, Y. Zhang, P. Chilson, X. Qin, R. J. Doviak, and A. Zahrai, 2009: An Update on Multi-Channel Receiver Development for the Realization Multi-Mission Capabilities at the National Weather Radar Testbed. Preprint, 25th Conf. IIPS for Meteor. Ocean. Hydro., Phoenix, AZ., Amer. Meteor. Soc., Paper 8B.5.
128. Xue, M., F. Kong, K. W. Thomas, J. Gao, Y. Wang, K. Brewster, K. K. Droegemeier, X. Wang, J. Kain, S. Weiss, D. Bright, M. Coniglio, and J. Du, 2009: CAPS realtime multi-model convection-allowing ensemble and 1-km convection-resolving forecasts for the NOAA Hazardous Weather Testbed 2009 Spring Experiment. 23nd Conf. Wea. Anal. Forecasting/19th Conf. Num. Wea. Pred., Omaha, NB, Amer. Meteor. Soc., Paper 16A.2.
129. Kong, F. M. Xue, K. W. Thomas, J. Gao, Y. Wang, K. Brewster, K. K. Droegemeier, J. Kain, S. Weiss, D. Bright, M. Coniglio, and J. Du, 2009: A realtime storm-scale ensemble forecast system: 2009 spring experiment. 23nd Conf. Wea. Anal. Forecasting/19th Conf. Num. Wea. Pred., Omaha, NB, Amer. Meteor. Soc., Paper 16A.3.
130. Surcel, M., M. Berenguer, I. Zawadzki, M. Xue, and F. Kong, 2009: The diurnal cycle of preciptiation in radar observations, model forecasts and MAPLE nowcasts. 34th Conf. Radar Meteor., Ameri. Meteor. Soc., Paper P14.6.
131. Wang, Q. and M. Xue, 2009: A high-resolution modeling study of convective initiation on 19 June 2002 during IHOP. Part I: Results of control data assimilation experiment. 23nd Conf. Wea. Anal. Forecasting/19th Conf. Num. Wea. Pred., Omaha, NB, Amer. Meteor. Soc., Paper 12A.3.
132. Hall, J., M. Xue, L. Leslie, K. Zhao, L. Ran, and F. Kong, 2010: Intensity, structure and rainfall in high-resolution numerical simulations of Typhoon Morakot (2009). 29th Conf. Hurricanes Tropical Meteor., Tucson, AZ, Amer. Meteor. Soc., Paper 15C.7.
133. Dong, J. and M. Xue, 2010: Ensemble Kalman filter assimilation of coastal WSR-88D radar data and forecsting for hurricane Ike (2008). 29th Conf. Hurricanes Tropical Meteor., Tucson, AZ, Amer. Meteor. Soc., Paper No. P2.138.
134. Xue, M., F. Kong, K. W. Thomas, Y. Wang, K. Brewster, J. Gao, X. Wang, S. Weiss, A. Clark, J. Kain, M. Coniglio, J. Du, T. Jensen, and Y.-H. Kuo, 2010: CAPS Realtime Storm Scale Ensemble and High Resolution Forecasts for the NOAA Hazardous Weather Testbed 2010 Spring Experiment. 25th Conf. Severe Local Storms, Amer. Meteor. Soc., Paper 7B.3.
135. Kong, F., M. Xue, K. W. Thomas, Y. Wang, K. Brewster, X. Wang, J. Gao, S. J. Weiss, A. Clark, J. S. Kain, M. C. Coniglio, and J. Du, 2010: Evaluation of CAPS multi-model storm-scale ensemble forecast for the NOAA HWT 2010 Spring Experiment. 25th Conf. Severe Local Storms, Amer. Meteor. Soc., Paper P4.18.
136. Weiss, S. J., A. J. Clark, I. L. Jirak, C. J. Melick, C. W. Siewert, R. Sobash, P. T. Marsh, A. R. Dean, M. Xue, F. Kong, K. W. Thomas, J. Du, D. R. Novak, F. E. Barthold, M. J. Bodner, J. J. Levit, C. B. Entwistle, T. Jensen, J. S. Kain, M. C. Coniglio, and R. S. Schneider, 2010: An overview of the 2010 NOAA Hazardous Weather Testbed spring forecasting experiment. 25th Conf. Severe Local Storms, Amer. Meteor. Soc., Paper 7B.1.
137. Brewster, K. A., K. W. Thomas, J. Gao, J. Brotzge, M. Xue, and Y. Wang, 2010: A Nowcasting System Using Full Physics Numerical Weather Prediction Initialized with CASA and NEXRAD Radar Data. 25th Conf. Severe Local Storms, Amer. Meteor. Soc., Paper 9.4.
138. Clark, A. J., M. Xue, F. Kong, K.W. Thomas, Y. Wang, K. Brewster, X. Wang, S.J. Weiss, I.L. Jirak, C.J. Melick, P.T. Marsh, J.S. Kain, M.C. Coniglio and J. Du, 2010: Verification of probablistic forecasts for severe weather parameters in the 2010 Storm-Scale Ensemble Forecast System and the operational SREF system. 25th Conf. Severe Local Storms, Amer. Meteor. Society, Paper P7.10.
139. Clark, A. J., M. Xue, F. Kong, K. Thomas, Y. Wang, K. Brewster, J. Gao, K.K. Droegemeier, J. S. Kain, S.J. Weiss, D. Bright, M.C. Coniglio and J. Du, 2010: Probabilistic precipitation forecast skill as a function of ensemble size and spatial scale ina convection-allowing ensemble. 25th Conf. Severe Local Storms, Amer. Meteor. Soc., Paper 12B.4.
140. Gao, J., K. Brewster, M. Xue, J. Brotzge, K. Thomas and Y. Wang, 2010: Real-time, Low-level Wind Analysis including CASA and WSR-88D Radar Data using the ARPS 3DVAR. 25th Conf. Severe Local Storms, Amer. Meteor. Soc., Paper 7B.4.
141. Gao, J., M. Xue, and D.J. Stensrud, 2010: The Development of a Hybrid 3DVAR-EnKF Algorithm for Storm-scale Assimilation. 25th Conf. Severe Local Storms, Amer. Meteor. Soc., Paper P7.4.
142. Gao, J., C. Fu, Z. Li, C. Ye, L. Xu and M. Xue, 2010: Three-dimensional Analyses of Several Thunderstorm Cases Observed using Hunan's Regional Radar Network. 25th Conf. Severe Local Storms, Amer. Meteor. Soc., Paper P7.2
143. Harless, A. R., S.J. Weiss, R.S. Schneider, M. Xue and F. Kong, 2010: A Report and Feature-based Verification Study of the CAPS 2008 Storm-Scale Ensemble Forecasts for Severe Convective Weather. 25th Conf. Severe Local Storms, Amer. Meteor. Soc., Paper P13B.2.
144. Harrold, M., T.L. Jensen, B.G. Brown, S.J. Weiss, P.T. Marsh, M. Xue, F. Kong, A. Clark, K.W. Thomas, J.S. Kain, M.C. Coniglio and R. Schneider, 2010: Spatial verfication of convective systems during Hazardous Weather Testbed 2010 Spring Experiment. 25th Conf. Severe Local Storms, Amer. Meteor. Soc., Paper P7.9.
145. Jensen, T., S. Weiss, J. Kain, M. Harrold, M. Xue, F. Kong, B. Brown, P. Marsh, M. Coniglio, and R. Schneider, 2010: The Developmental Testbed Center (DTC) Objective Evaluation Performed During the Hazardous Weather Testbed (HWT) 2010 Spring Experiment. Extended Abstract, 11th WRF Users' Workshop, NCAR, Boulder CO.
146. Jirak, I. L., S. J. Weiss, C. J. Melick, P. T. Marsh, J. S. Kain, J. Clark, M. Xue, F. Kong, and K. W. Thomas, 2010: Evaluation of the performance and distribution of hourly maximum fields from storm-scale ensemble Forecasts. 25th Conf. Severe Local Storms, Amer. Metero. Soc., Paper 13B.3.
147. Johnson, A. T., X. Wang, F. Kong, and M. Xue, 2010: Object-oriented clustering analysis of CAPS convective scale ensemble forecasts for the NOAA Hazardous Weather Testbed Spring Experiment: A first step toward optimal ensemble configuration for convective scale probabilistic forecasting. 25th Conf. Severe Local Storms, Amer. Meteor. Soc., Paper 12B.1.
148. Marsh, P. T., J. S. Kain, S. J. Weiss, I. L. Jirak, R. A. Sobash, F. Kong, K. W. Thomas, and M. Xue, 2010: Investigating a fundamental component of a Warn-on-Forecast system in a collaborative real-time experiment. 25th Conf. Severe Local Storms, Amer. Meteor. Soc.
149. Melick, C. J., I. L. Jirak, S. J. Weiss, A. J. Clar, P. T. Marsh, J. S. Kain, M. Xue, F. Kong, and K. W. Thomas, 2010: An environmental climatology of the CAPS Storm-Scale Ensemble Forecast system during the 2010 HWT Spring Experiement. 25th Conf. Severe Local Storms, Amer. Meteor. Soc., Paper 13B.5.
150. Putnam, B. J., M. Xue, G. Zhang, Y. Jung, N. Snook, and A. D. Schenkman, 2010: Comparison of the structural evolution and polarimetric variable fields of a forecasted MCV using a single and two-moment microphysics scheme. 25th Conf. Severe Local Storms, Amer. Metero. Soc., Paper P7.6.
151. Stratman, D. R., M. C. Coniglio, and M. Xue, 2010: Using traditional and spatial verification methods to evaluate real-time model forecasts of convection. 25th Conf. Severe Local Storms, Amer. Meteor. Soc., Paper 13B.6.
152. Vivek, M., J. Brotzge, J. Gao, K. Brewster, and M. Xue, 2010: Multi-Doppler and polarimetric analysis of tornado and rear-inflow jet. 26th Conf. Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography and Hydrology.
153. Xue, M., F. Kong, K. W. Thomas, Y. Wang, K. Brewster, J. Gao, X. Wang, S. J. Weiss, A. J. Clark, J. S. Kain, M. C. Coniglio, J. Du, T. L. Jensen, and Y. H. Kuo, 2011: CAPS Realtime Storm Scale Ensemble and High Resolution Forecasts for the NOAA Hazardous Weather Testbed 2010 Spring Experiment. 24th Conf. Wea. Forecasting/20th Conf. Num. Wea. Pred., Amer. Meteor. Soc., Paper 9A.2.
154. Kong, F., M. Xue, K. W. Thomas, Y. Wang, K. A. Brewster, X. Wang, J. Gao, S. J. Weiss, A. J. Clark, J. S. Kain, M. C. Coniglio, and J. Du, 2011: CAPS Multi-Model Storm-Scale Ensemble Forecast for the NOAA HWT 2010 Spring Experiment. 24th Conf. Wea. Forecasting/20th Conf. Num. Wea. Pred., Amer. Meteor. Soc., Paper 457.
155. Barthold, F. E., M. J. Bodner, D. R. Novak, R. Bann, R. Oravec, B. Sullivan, A. R. Dean, I. L. Jirak, C. J. Melick, R. A. Sobash, A. J. Clark, F. Kong, S. J. Weiss, and M. Xue, 2011: The quantitative precipitation forecasting component of the 2010 NOAA Hazardous Weather Testbed Spring Experiment. 24th Conf. Wea. Forecasting/20th Conf. Num. Wea. Pred., Amer. Meteor. Soc., Paper 9A.4.
156. Clark, A. J., M. Xue, F. Kong, S. J. Weiss, I. L. Jirak, C. J. Melick, R. Sobash, P. T. Marsh, A. R. Dean, K. W. Thomas, J. S. Kain, and M. C. Coniglio, 2011: Verification of diurnal cycle characteristics in the CAPS 2010 Storm Scale Ensemble Forecast System 24th Conf. Wea. Forecasting/20th Conf. Num. Wea. Pred., Amer. Meteor. Soc., Paper J19.1.
157. Gasperoni, N., M. Xue, R. D. Palmer, J. Gao, B. L. Cheong, and D. S. Michaud, 2011: Impact of assimilating refractivity measurements from a network of S-band and X-band radars on the forecast of convective initiation using the ARPS 3DVAR system. 15th IOAS-AOLS onf, Amer. Meteor. Soc.
158. Jensen, T. L., M. Harrold, S. J. Weiss, M. Xue, P. T. Marsh, F. E. Barthold, J. J. Levit, F. Kong, A. J. Clark, B. G. Brown, D. R. Novak, J. S. Kain, R. S. Schneider, and M. C. Coniglio, 2011: The Developmental Testbed Center Objective Evaluation Performed During the 2010 NOAA Hazardous Weather Testbed Spring Experiment 24th Conf. Wea. Forecasting/20th Conf. Num. Wea. Pred., Amer. Meteor. Soc., Paper 9A.6.
159. Johnson, A. T., X. Wang, F. Kong, and M. Xue, 2011: Object-oriented clustering analysis of CAPS convective scale ensemble forecasts for the NOAA Hazardous Weather Testbed Spring Experiment: A first step toward optimal ensemble configuration for convective scale probabilistic forecasting 24th Conf. Wea. Forecasting/20th Conf. Num. Wea. Pred., Amer. Meteor. Soc., Paper 9A.3.
160. Li, Y., X. Wang, and M. Xue, 2011: Assimilation of Radar Radial Velocity Data with the WRF Ensemble-3DVAR Hybrid System for the Prediction of Hurricane IKE (2008). 15th Symp. Integrated Observing Assimilation Systems Atmos. Oceans Land Surface (IOAS-AOLS) Amer. Meteor. Soc., Paper 542.
161. Michaud, D. S., R. D. Palmer, D. Bodine, P. L. Heinselman, J. Brotzge, N. A. Gasperoni, B. L. Cheong, M. Xue, and J. Gao, 2011: Understanding radar refractivity. 27th Conf. IIPS, Amer. Meteor. Soc., Paper 11B.2.
162. Schenkman, A. and M. Xue, 2011: Very high-resolution prediction of tornado-like vortices in a long-lived mesovortex. 24th Conf. Wea. Forecasting/20th Conf. Num. Wea. Pred., Amer. Meteor. Soc., Paper 483.
163. Schumacher, R. S., A. J. Clark, M. Xue, and F. Kong, 2011: Evaluation of convection-allowing ensemble forecasts of extreme rainfall associated with a mesoscale vortex. 24th Conf. Wea. Forecasting/20th Conf. Num. Wea. Pred., Amer. Meteor. Soc., Paper 7.2.
164. Snook, N., M. Xue, and Y. Jung, 2011: Probabilistic prediction of low-level vortices associated with mesoscale vortex tornadoes using EnKF data assimilation and implications for warn-on-forecast 24th Conf. Wea. Forecasting/20th Conf. Num. Wea. Pred., Amer. Meteor. Soc., Paper 11B.4.
165. Stratman, D. R., M. C. Coniglio, and M. Xue, 2011: Using Traditional and Spatial Verification Methods to Evaluate Real-Time Model Forecasts of Convection. 24th Conf. Wea. Forecasting/20th Conf. Num. Wea. Pred., Amer. Meteor. Soc., Paper 11B.2.
166. Wang, S. and M. Xue, 2011: Comparison of Sequential Ensemble Square-Root Filter (EnSRF) and Four-Dimensional Asynchronous EnSRF Algorithms for the Assimilation of Simulated Radar Data 15th Symp. Integrated Observing Assimilation Systems Atmos. Oceans Land Surface (IOAS-AOLS) Amer. Meteor. Soc., Paper 537.
167. Weiss, S. J., A. J. Clark, I. L. Jirak, C. J. Melick, C. W. Siewert, R. Sobash, P. T. Marsh, A. R. Dean, M. Xue, F. Kong, K. W. Thomas, J. Du, R. S. Schneider, J. S. Kain, and M. C. Coniglio, 2011: The severe thunderstorm forecasting component of the 2010 NOAA Hazardous Weather Testbed spring experiment. 24th Conf. Wea. Forecasting/20th Conf. Num. Wea. Pred., Amer. Meteor. Soc., Paper 458.
168. Weiss, S. J., A. J. Clark, I. L. Jirak, C. J. Melick, C. W. Siewert, R. Sobash, P. T. Marsh, A. R. Dean, M. Xue, F. Kong, K. W. Thomas, J. Du, D. R. Novak, F. E. Barthold, M. J. Bodner, J. J. Levit, C. B. Entwistle, T. L. Jensen, R. Schneider, J. S. Kain, and M. C. Coniglio, 2011: An overview of the 2010 NOAA Hazardous Weather Testbed spring forecasting experiment. 24th Conf. Wea. Forecasting/20th Conf. Num. Wea. Pred., Amer. Meteor. Soc., Paper 9A.1.
169. Zhu, K., M. Xue, X. Wang, J. Whitaker, S. Benjamin, and S. S. Weygandt, 2011: An Regional Ensemble Kalman Filter Data Assimilation System Employing GSI Observation Processing and Initial Tests for Rapid Refresh Forecast Configurations 15th Symp. Integrated Observing Assimilation Systems Atmos. Oceans Land Surface (IOAS-AOLS) Amer. Meteor. Soc., Paper 550.
170. Kain, J. S., I. L. Jirak, A. J. Clark, M. C. Coniglio, S. J. Weiss, J. Correia Jr., A. R. Dean, P. T. Marsh, C. J. Melick, S. D. Miller Jr., R. Sobash, M. Xue, F. Kong, K. W. Thomas, V. Lakshmanan, D. D. Turner, D. A. Imy, and S. R. Dembek, 2012:  An overview of the 2012 NOAA Hazardous Weather Testbed Spring Forecasting Experiment.  26th Conference on Severe Local Storms, Nashville, TN, Amer. Meteor. Soc., Paper 10.1.
171. Gagne II, D. J., A. McGovern, J. Brotzge, M. Coniglio, J. Correia, Jr., and M. Xue, 2015b: Day-ahead hail prediction integrating machine learning with storm-scale numerical weather models. Proceedings of the 27th Innovative Applications of Artificial Intelligence Conference, Austin, TX, AAAI, 3954–3960. (Referred)
172. Gagne II, D. J., A. McGovern, J. Brotzge, and M. Xue, 2013a: Severe hail prediction within a spatiotemporal relational data mining framework. Proceedings, 13th International Conference on Data Mining Workshops (ICDMW), Dallas, TX, IEEE, 994–1001. (Referred)
173. Gagne II, D. J., A. McGovern, and M. Xue, 2012b: Machine learning enhancement of storm scale ensemble precipitation forecasts. Proceed- ings of the 2012 Conference on Intelligent Data Understanding, Boulder, CO, Computational Intelligence Society, 39–46. (Referred)
174. Gagne II, D. J., A. McGovern, and M. Xue, 2011b: Machine learning en- hancement of storm scale ensemble precipitation forecasts. Proceedings of 2011 Workshop on Knowledge Discovery, Modeling, and Simulation, San Diego, CA, ACM, 45–46. (Referred)

Ph.D. Dissertations of Students advised

1. Nutter, Paul, 2003: Effects of nesting frequency and lateral boundary perturbations on the dispersion of limited-area ensemble forecasts, Ph.D. Dissertation, School of Meteorology, University of Oklahoma, 156 pp.
2. Ren, D., 2004: 4DVAR Retrieval of Prognostic Land Surface Model Variables, Ph. D. Dissertation, School of Meteorology, University of Oklahoma, 228 pp.
3. Hu, Ming, 2005: 3DVAR and cloud analysis with WSR-88D level-II data for the prediction of tornadic thunderstorms, Ph. D. Dissertation, School of Meteorology, University of Oklahoma, 217 pp.
4. Tong, Mingjing, 2006: Ensemble Kalman filer assimilation of Doppler radar data for the initialization and prediction of convective storms, Ph.D. Dissertation, School of Meteorology, University of Oklahoma, 243 pp.
5. Liu, Haixia, 2007: Analysis of GPS Slant-path Water Vapor Observations using 3DVAR with Anisotropic Filters and Their Impact on the Prediction of Convective Initiation and Precipitation, Ph.D. Dissertation, School of Meteorology, University of Oklahoma, 188 pp.
6. Chunyan Sheng, 2007: Data Assimilation for North China Torrential Rain and Numerical Simulation of Orographic Heavy Rainfall (in Chinese).  Ph.D. Dissertation, Institute of Atmospheric Physics, Chinese Academy of Sciences, 140pp.
7. Jung, Yongsun, 2008: State and parameter estimation using polarimetric radar data and an ensemble Kalman filter, Ph.D. Dissertation, School of Meteorology, University of Oklahoma, 209pp
8. Dawson Daniel, II, 2009: Impacts of single- and multi-moment microphysics on numerical simulations of supercells and tornadoes of the 3 May 1999 Oklahoma tornado outbreak. Ph.D. Dissertation, School of Meteorology, University of Oklahoma. 173pp.
9. Dong, Jili, 2010: Applications of Ensemble Kalman Filter Data Assimilation: From Convective Thunderstorms to Hurricanes, Ph.D. Dissertation, School of Meteorology, University of Oklahoma, 199 pp.
10. Kefeng Zhu, 2010: Research and Applications of Radar Data Assimilation for the Forecasting of Convective Systems (In Chinese).  Ph.D. Dissertation, Institute of Atmospheric Physics, Chinese Academy of Sciences, 167pp.
11. Snook, Nathan, 2011: Assimilation of CASA and WSR-88D Radar Data for Tornadic Convective Storms using an Ensemble Kalman Filter and Applications in Probabilistic Ensemble Forecasting,  Ph.D. Dissertation, School of Meteorology, University of Oklahoma, 195 pp.
12. Schenkman, Alexandar. D., 2012: Exploring tornadogenesis with high-resolution simulations initialized with real data, Ph. D. Dissertation, School of Meteorology, University of Oklahoma, 186 pp.
13. Cheng, Jing, 2013: Assimilation of Attenuated Data from X-Band Network Radars using Ensemble Kalman Filter, Ph.D. Dessertation, School of Meteorology, University of Oklahoma, 160pp.
14. Zhao, G., 2013: Development of ARPS LETKF with Four Dimensional Extension and Intercomparison with ARPS EnSRF, Ph.D. Dissertation, School of Meteorology, University of Oklahoma, 200 pp.
15. Li, Yongzuo, 2014: Assimilation of Radar Observations with Ensemble-Variational Hybrid Data Assimilation Method for the Initialization and Prediction of Hurricanes, Ph.D. Dessertation, School of Meteorology, University of Oklahoma, 133 pp.
16. Dahl, N. A., 2014: Coupling the Advanced Regional Prediction System and the Discrete Event Specification Fire Spread Model to Predict Wildfire Behavior, Ph.D. Dessertation, School of Meteorology, University of Oklahoma. 137pp.
17. Tong, Chongchi, 2015: Limitations and Potential of Complex Cloud Analysis and Its Improvement for Radar Reflectivity Data Assimilation Using OSSEs. Ph.D. Dissertation, School of Meteorology, University of Oklahoma, 177pp.
18. Putnam, Bryan, 2016: The Prediction and Assimilation of Polarimetric Radar Data Using Ensemble-based Methods, Ph.D. Dissertation, School of Meteorology, University of Oklahoma, 206pp.
19. Jeffery Duda, 2016: Optimal Design of a Convection-Allowing Ensemble from a Model Error Perspective School of Meteorology, University of Oklahoma, 236 pp. (Co-advisor).
20. Roberts, Brett, 2017: The Role of Surface Drag in Supercell Tornadogenesis and Mesocyclogenesis: Studies based on Idealized Numerical Simulations, Ph.D. Dissertation, School of Meteorology, University of Oklahoma.
21. Kong, Rong, 2017: Hybrid En3DVar Radar Data Assimilation and Comparisos with 3DVAR and EnKF with OSSEs and a Real Case. Ph.D. Dissertation, School of Meteorology, University of Oklahoma. 192pp.
22. Johnson, Marcus, 2019: Assessment of One-Moment and Two-Moment Microphysics and Supectral BIN Microphysics Schemes Using Idealized Supercell Simulations and Real Data Convective-Scale Predictions, Ph.D. Dissertation, School of Meteorology, University of Oklahoma.
23. Stratman, Derrek, 2020: , Ph.D. Dissertation, School of Meteorology, University of Oklahoma.
24. Labriola, Jonathan, 2020: Sensitivity of Explicit Hail Predictions and Convective Scale Ensemble Forecasting to Microphysics Parameterizations and Ensemble Data Assimilatiion Configuration,    Ph.D. Dissertation, School of Meteorology, University of Oklahoma.
25. Ilha de Oliveira, Mauricio, 2021: Cyclic Tornadogenesis and Horizontal Vortex Tubes in High-Resolution Idealized Simulations of Supercells, Ph.D. Dissertation, School of Meteorology, University of Oklahoma.

Other Visiting/Exchange Ph.D. Students Advised

1. Du, Ningzhu., Ph.D., Nanjing Uniersity of Information Science and Technology.
2. Wang, Shizhang, Ph.D., Nanjing Uniersity of Information Science and Technology.
3. Zhu, Kefeng, Ph.D., Institute of Atmospheric Physics.
4. Wang, Mingjun, Ph.D, Nanjing Univversity. 
5. Xin, Xu, Ph.D.,  Nanjing University.
6. Zhuang, Xiaoran, Ph.D., Nanjing University of Information Science and Technology.
7. Zhang, Honglei , Ph.D.  Zhejiang University.
8. Luo, Liping, Ph.D,  Nanjing University. 
9. Sun, Zhenqi, Ph.D.,  Nanjing University.
10. Sun, Shiwei, Ph.D.,  Nanjing University.
11. Zhang, Yuehan, Ph.D.,  Nanjing University.
12. Yang, Lan, Ph.D.,  Nanjing University.
13. Zhu, Lijian, Ph.D.,  Nanjing Uniersity of Information Science and Technology.
14. Fan, Ziqi, Ph.D.,  Nanjing Uniersity.

DISSERTATION / REPORTS / MANUALS

1. Xue, M., 1989: A nonhydrostatic numerical model in sigmacoordinates and simulations of mesoscale phenomena. Ph.D thesis, Dept. of Meteorology, Reading University, 258pp.
2. Xue, M., and Z.-J. Zhang, 1990: ZXPLOT Graphics V. 1.1 User's Documentation. 74pp. [Available from CAPS, University of Oklahoma]
3. Droegemeier, K.K., M. Xue, P.V. Reid, J. Straka, J. Bradley III, and R. Lindsay, 1991: The advanced regional prediction system (ARPS) Version 2.0. Theoretical and numerical formulation. Report No. I (Draft), Center for Analysis and Prediction of Storms, University of Oklahoma, 55pp.
4. CAPS (main contributor) 1992: ARPS Version 3.0 User's Guide. 183pp. [Available from Center for Analysis and Prediction of Storms, University of Oklahoma, Norman OK 73019.
5. Xue, M., K.K. Droegemeier, V. Wong, A. Shapiro, and K. Brewster, 1995: ARPS Version 4.0 User's Guide. 380pp [Available from Center for Analysis and Prediction of Storms, University of Oklahoma, Norman OK 73019].
6. Droegemeier, K.K., M. Xue, and G. Bassett, 1993: High-resolution simulations of the 20 May 1977 Del City supercell storm. Color video animation, 7.5 min.
7. Lin, N.-T., K. Mills, Y.-C. Chen, K. Droegemeier, and M. Xue, 1993: A message passing version of the Advanced Regional Prediction System (mpARPS). 17 pp.
8. Sawdey, A., M. O'Keefe, 0. Meirhaeghe, M. Xue, and K. Droegemeier, 1993: Conversion of the ARPS 3.0 mesoscale weather prediction code to CM-Fortran using the Fortran-P translator. Preprint 93-089, Army High Performance Computing Research Center, University of Minnesota, 8 pp.