Refereed Publications

• Wang, X., and C. H. Bishop, 2003: A comparison of breeding and ensemble transform Kalman filter ensemble forecast schemes. J. Atmos. Sci., 60, 1140-1158.
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• Wang, X., C. H. Bishop, and Simon J. Julier, 2004: Which is better, an ensemble of positive-negative pairs or a centered spherical simplex ensemble? Mon. Wea. Rev., 132, 1590-1605.
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• Wang, X., and C. H. Bishop, 2005: Improvement of ensemble reliability with a new dressing kernel. Q. J. R. Meteo. Soc., 131, 965-986.
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• Wei, M., Z. Toth, R. Wobus, Y. Zhu, C. H. Bishop and X. Wang, 2006: Ensemble transform Kalman filter-based ensemble perturbations in an operational global prediction system at NCEP. Tellus, 58A, 28-44.
  

• Wang, X., T. M. Hamill, J. S. Whitaker and C. H. Bishop, 2007: A comparison of hybrid ensemble transform Kalman filter-OI and ensemble square-root filter analysis schemes. Mon. Wea. Rev., 135, 1055-1076.
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• Wang, X., C. Snyder, and T. M. Hamill, 2007: On the theoretical equivalence of differently proposed ensemble/3D-Var hybrid analysis schemes. Mon. Wea. Rev., 135, 222-227.
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• Wang, X., D. Barker, C. Snyder, T. M. Hamill, 2008: A hybrid ETKF-3DVAR data assimilation scheme for the WRF model. Part I: observing system simulation experiment. Mon. Wea. Rev., 136, 5116-5131.
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• Wang, X., D. Barker, C. Snyder, T. M. Hamill, 2008: A hybrid ETKF-3DVAR data assimilation scheme for the WRF model. Part II: real observation experiments. Mon. Wea. Rev., 136, 5132-5147.
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• Wang, X., T. M. Hamill, J. S. Whitaker, C. H. Bishop, 2009: A comparison of the hybrid and EnSRF analysis schemes in the presence of model error due to unresolved scales. Mon. Wea. Rev., 137,3219-3232.
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• Wang, X., 2010: Incorporating ensemble covariance in the Gridpoint Statistical Interpolation (GSI) variational minimization: a mathematical framework. Mon. Wea. Rev., 138,2990-2995.
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• Hacker, J. P., S.-Y. Ha, C. Snyder, J. Berner, F. A. Eckel, E. Kuchera, M. Pocernich, S. Rugg, J. Schramm, and X. Wang, 2011: The U.S. Air Force Weather Agency's mesoscale ensemble: Scientific description and performance results. Tellus, 63A,625-641.
  

• 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, 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.
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• Wang, X. 2011: Application of the WRF hybrid ETKF-3DVAR data assimilation system for hurricane track forecasts. Wea. Forecasting, 26, 868-884.
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• 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 object-oriented cluster analysis method for precipitation fields. Mon. Wea. Rev., 139,3673-3693.
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• Johnson, A.*, X. Wang, M. Xue, and F. Kong, 2011: Hierarchical cluster analysis of a convection-allowing ensemble during the Hazardous Weather Testbed 2009 Spring Experiment. Part II: Ensemble clustering over the whole experiment period . Mon. Wea. Rev., 139, 3694-3710.
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• 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. Correia, Jr., 2011: An Overview of the 2010 Hazardous Weather Testbed Experimental Forecast Program Spring Experiment. Bull. Amer. Meteor. Soc., 93, 55-74.
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• Johnson, A.* and X. Wang, 2012: Verification and calibration of neighborhodd and object-based probablistic precipitation forecasts from a multi-model convection-allowing ensemble. Mon. Wea. Rev., 140, 3054-3077
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• 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.
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• Thompson, E. T.*, L. J. Wicker and X. Wang, 2012: Impact from a volumetric radar-sampling operator for radial velocity observations within EnKF supercell assimilation. J. Atmos. Oceanic Technol. , 29, 1417-1427
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• Johnson, A.* and X. Wang, 2013: Object-based evaluation of a storm scale ensemble during the 2009 NOAA Hazardous Weather Testbed Spring Experiment. Mon. Wea. Rev., 141,1079-1098
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• Holland, B.* and X. Wang, 2013: Effects of sequential or simultaneous assimilation of observations and localization methods on the performance of the ensemble Kalman filter . Q. J. R. Meteo. Soc., 139,758-770
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• Zhang, Y.*, Y. Hong, X. Wang, J. J. Gourley, J. Gao, H. Vergara and B. Yong, 2013: Assimilation of passive microwave streamflow signals for improving flood forecasting: a first study in Cubango River Basin, Africa. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6,2375-2390
  

• Wang, X., D. Parrish, D. Kleist and J. S. Whitaker, 2013: GSI 3DVar-based Ensemble-Variational Hybrid Data Assimilation for NCEP Global Forecast System: Single Resolution Experiments. Mon. Wea. Rev., 141,4098-4117
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• Johnson, A.*, and 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
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• Zhu, K.*, Y. Pan*, M. Xue, X. Wang, J. S. Whitaker, S. G. Benjamin, S. S. Weygandt, M. Hu, 2013: A Regional GSI-based Ensemble Kalman Filter Data Assimilation System for the Rapid Refresh Configuration: Testing at Reduced Resolution. Mon. Wea. Rev., 141,4118-4139
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• 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
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• Zhang, Y.*, Y. Hong, J. Gourley, X. Wang, G.R. Brakenridge, T.D.Groeve and H. Vergara, 2013 Impact of assimilating spaceborne microwave signals for improving hydrological prediction in ungauged basins AGU Chapman Remote Sensing monograph, 439-450
  

• Duda, J.*, 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
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• Zhang, Y.*, Y. Hong, X. Wang, J. Gourley, X. Xue, Y. Huang, S. Chen, 2014: Hydrometeorological Analysis and Remote Sensing of Extremes: Was 2012 July Beijing Flood Event Detectable and Predictable by Global Satellite Observing and Global Weather Modeling Systems?. J. Hydrometeorology, in press
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• Wang, X. and T. Lei*, 2014: GSI-based four dimensional ensemble-variational (4DEnsVar) data assimilation: formulation and single resolution experiments with real data for NCEP Global Forecast System . Mon. Wea. Rev., 142,3303-3325
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• Pan, Y.*, K. Zhu*,M. Xue, X. Wang, J. S. Whitaker, S. G. Benjamin, S. S. Weygandt, M. Hu, 2014: A Regional GSI-based EnKF-Hybrid System for a Rapid Refresh Configuration: Testing at Reduced Resolution. Mon. Wea. Rev., 142,3756-3780
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• Kerr, C.*, D. Stensrud, X. Wang, 2014: Assimilation of Cloud Top Temperature and radar Observations of an Idealized Splitting Supercell. Mon. Wea. Rev., in press
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• Thompson, T.*, L. J. Wicker, X. Wang and C. Potvin, 2014: A Comparison between the Local Ensemble Transform Kalman Filter and the Ensemble Square Root Filter for the Assimilation of Radar Data in Convective-Scale Models. Q. J. R. Meteo. Soc., in press
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• Gasperoni, N.*, and X. Wang, 2014: Adaptive Localization for the Ensemble-based Observation Impact Estimate using Regression Confidence Factors. Mon. Wea. Rev. , in press
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• Johnson, A.*, X. Wang, J. Carely, L. Wicker and C. Karstens, 2014: A Comparison of Multi-scale GSI-based EnKF and 3DVar Data Assimilation using Radar and Conventional Observations for Mid-latitude Convective-scale Precipitation Forecasts. Mon. Wea. Rev. , in press
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• Chen, S., X. Wang, N. Chang, and Y. Hong, 2014: Data assimilation techniques and inverse modeling. Book chapter for Environmental Informatics Series (I): Advances in hydrological remote sensing to monitor global changes, N. Chang and Y. Hong (eds.), Springer Publisher. accepted with minor revision.
  

• Duda, J.*, X. Wang, F. Kong, M. Xue, and J. Berner, 2015: Impact of a Stochastic Kinetic Energy Backscatter Scheme on Warm season Convection-Allowing Ensemble Forecasts. Mon. Wea. Rev. , submitted
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• Govindan Kutty* and Xuguang Wang, 2015: A Comparison of the Impacts of Radiosonde and AMSU Radiance Observations In GSI-based 3DEnsVar and 3DVar Data Assimilation Systems for NCEP GFS Advances In Meteorology , submitted (invited contribution)
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* students or postdocs authors