Currently in review
Barnett, G. A., N. Flyer, and L. J. Wicker, 2015: An RBF-FD polynomial method based on polyharmonic splines for the Navier-Stokes equations: Comparison on different node layouts. J. Comp. Physics, Submitted in June 15, 2015
Jones, T. A. and D. J. Stensrud, 2015: Assimilating cloud water path as a function of model cloud microphysics in an idealized simulation. Mon. Wea. Rev. Submitted.
Skinner, P. S., C. C. Weiss; L. J. Wicker, C. K. Potvin, D. C. Dowell, 2015: Forcing mechanisms for an internal rear-flank downdraft momentum surge in the 18 May 2010 Dumas, Texas supercell, Mon. Wea. Rev., Accepted for publication, 28 July 2015.
French, M., D. Burgess, E. Mansell, and L. Wicker, 2015: Bulk Hook Echo Raindrop Sizes Retrieved Using Mobile, Polarimetric Doppler Radar Observations. J. Appl. Meteor. Climatology, 54, 423–450, PDF
French, M. M., P. S. Skinner, and L. J. Wicker, 2015: Documenting a Rare Tornado Merger Observed in the 24 May 2011 El Reno, Oklahoma, Supercell. Mon. Wea. Rev., 143, 3025–3043. DOI: http://dx.doi.org/10.1175/MWR-D-14-00349.1
Johnson, A., X. Wang, J. Carley, L. J. Wicker and C. Karstens, 2015: A comparison of multi-scale GSI-based EnKF and 3DVar data assimilation for mid-latitude convective scale precipitation forecasts. Mon. Wea. Rev., 143, 3087-3108, PDF
Jones, T., D. Stensrud, L. Wicker, P. Minnis, and R. Palikonda, 2015: Simultaneous radar and satellite data storm-scale assimilation using an ensemble Kalman filter approach for 24 May 2011. Mon. Wea. Rev. 143, 165–194, PDF
Potvin, C. K. and M. L. Flora, 2015: Sensitivity of Idealized Supercell Simulations to Horizontal Grid Spacing: Implications for Warn-on-Forecast. Mon. Wea. Rev., 143, 2998–3024. DOI: http://dx.doi.org/10.1175/MWR-D-14-00416.1
Sobash, R. A. and L. J. Wicker, 2015: On the impact of additive noise in storm-scale EnKF experiments. Mon. Wea. Rev., 143, 3067-3086. PDF
Tanamachi, R., P. L. Heinselman, and L. J. Wicker, 2015: Impacts of a storm merger on the 24 May 2011 El Reno, Oklahoma Tornadic Supercell. Wea. Forecasting. 30, 501-524, PDF
Thompson, T. E., L. J. Wicker, and X. Wang, 2015: A comparison between the local ensemble transform filter (LETKF) and the ensemble square-root file (EnSRF) for the assimilation of Doppler radar data in convective-scale models. Q. J. Roy. Meteor. Soc., 141, 1163-1176. PDF
Wheatley, D. M., K. H. Knopfmeier, T. A. Jones, and G. J. Creager, 2015: Storm-scale data assimilation and ensemble forecasting with the NSSL Experimental Warn-on-Forecast System. Part I: Radar data experiments, Wea. Forecasting, 30, 1795-1817.
Yussouf, N., D. C. Dowell, L. J. Wicker, K. Knopfmeier, and D. M. Wheatley, 2015: Storm-scale data assimilation and ensemble forecasts for the 27 April 2011 severe weather outbreak in Alabama. Mon. Wea. Rev. 143, 3044-3066. PDF.
Calhoun, K., M., T. M. Smith, D. M. Kingfield, J. Gao, and D. J. Stenrud, 2014: Forecaster Use and Evaluation of realtime 3DVAR analyses during Severe Thunderstorm and Tornado Warning Operations in the Hazardous Weather Testbed. Wea. Forecasting 29, 601-613.
Crowell, S., L. White, and L. J. Wicker, 2014: Estimation of Near Surface Wind Speeds in Strongly Rotating Flows. Appl. Math. Comp., 235C, 201-211.
Dawson II, D. T., E. R. Mansell, Y. Jungsun, 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 Hail. J. Atmos. Sci., 71, 276-299. PDF
Fierro, A. O., J. Gao, C. Ziegler, E. Mansell, and D. MacGorman, 2014: Evaluation of a cloud scale lightning data assimilation technique and a 3DVAR method for the analysis and short-term forecast of the 29 June 2012 derecho event. Mon. Wea. Rev. 142, 183-202.
Gao, J. and D. J. Stensrud, 2014: Some Observing System Simulation Experiments with a Hybrid 3DEnVAR System for Stormscale Radar Data Assimilation, Mon. Wea. Rev., 142, 3326-3346.
Jones, T. A., J. Otkin, D. J. Stensrud, and K. Knopfmeier, 2014a: Forecast evaluation of an Observing System Simulation Experiment assimilating both radar and satellite data. Mon. Wea. Rev. 142, 107-124.
Skinner, P. S., C. C. Weiss, M. M. French, H. B. Bluestein, P. M. Markowski, and Y. P. Richardson, 2014: VORTEX2 Observations of a Low-Level Mesocyclone with Multiple Internal Rear-Flank Downdraft Momentum Surges in the 18 May 2010 Dumas, Texas, Supercell. Mon. Wea. Rev., 142, 2935–2960.
Smith, T. M., J. Gao, K. M. Calhoun, D. J. Stensrud, K. L. Manross, K. L. Ortega, C. Fu, D. M. Kingfield, K. L. Elmore, V. Lakshmanan, and C. Riedel, 2014: Examination of a real-time 3DVAR analysis system in the Hazardous Weather Testbed. Wea. Forecasting, 29, 63-77.
VandenBerg, M.A., M.C. Coniglio, and A.J. Clark, 2014: Comparison of next-day convection-allowing forecasts of storm motion on 1-km and 4-km grids. Wea. Forecasting, 29, 878-893
Wheatley, D. M., N. Yussouf, and D. J. Stensrud, 2014: Ensemble Kalman Filter Analyses and Forecasts of a Severe Mesoscale Convective System Using Different Choices of Microphysics Schemes. Mon. Wea. Rev., 142, 3243–3263.
Dawson II, D. T., L. J. Wicker, E. R. Mansell, 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. Advances In Meteorology, Article ID 818394, 13 pp.
Gao, J., M. Xue, and D. J. Stensrud, 2013: The development of a hybrid EnKF-3DVAR algorithm for storm-scale data assimilation, Advances in Meteorology, Article ID 512656, 12 pp.
Ge., G, J. Gao, and M. Xue, 2013: Impact of a diagnostic pressure equation constraint on tornadic supercell thunderstorms forecasts initialized using 3DVAR radar data assimilation. Advances in Meteorology, Article ID 947874, 12 pp.
Natenberg, E., J. Gao, M. Xue, and F. H. Carr, 2013: Multi-Doppler radar analysis and forecast of a tornadic thunderstorm using a 3D variational data assimilation technique and ARPS model. Advances in Meteorology, Article ID 281695, 18 pp.
Potvin, C. K., and L. J. Wicker, 2013: Correcting fast-mode pressure errors in storm-scale ensemble Kalman filter analyses. Advances in Meteorology, Article ID 624931, 14 pp.
Potvin, C. K., 2013: A variational method for detecting and characterizing intense vortices in Cartesian wind fields. Mon. Wea. Rev., 141, 1612-1628.
Potvin, C. K., and L. J. Wicker, 2013: Assessing ensemble forecasts of low-level supercell rotation within an OSSE framework. Wea. and Forecasting, 28, 940-960.
Potvin, C. K., L. J. Wicker, D. Betten, M. I. Biggerstaff, and A. Shapiro, 2013: Comparison between dual-Doppler and EnKF storm-scale wind analyses: The 29-30 May 2004 Geary, Oklahoma, supercell thunderstorm. Mon. Wea. Rev., 141, 1612-1628.
Reeves, H. D., D. T. Dawson II, 2013: The Dependence of QPF on the Choice of Microphysical Parameterization for Lake-Effect Snowstorms. Journal of Applied Meteorology and Climatology, 52, 363-377.
Tanamachi, R., L. Wicker, D. C. Dowell, H. B. Bluestein, and M. Xue, 2013: Assimilation of high-resolution, mobile Doppler radar data into EnKF analyses of the 4 May 2007 Greensburg, Kansas supercell storm. Mon. Wea. Rev., 141, 625-648, PDF
Yussouf, N., E. R. Mansell, L. J. Wicker, D. M. Wheatley, D. J. Stensrud, 2013: The Ensemble Kalman Filter Analyses and Forecasts of the 8 May 2003 Oklahoma City Tornadic Supercell Storm Using Single- and Double-Moment Microphysics Schemes. Mon. Wea. Rev., 141, 3388–3412.
Yussouf, N., J. Gao, D. J. Stensrud, G. Ge, 2013: The Impact of Mesoscale Environmental Uncertainty on the Prediction of a Tornadic Supercell Storm Using Ensemble Data Assimilation Approach. Advances in Meteorology, Article ID 731647, 15 pp.
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. Advances in Meteorology, Article ID 259052, 9 pp.
Dawson II, D. T., L. J. Wicker, E. R. Mansell, and R. L. Tanamachi, 2012: Impact from the environmental wind profile on ensemble forecasts of the 4 May 2007 Greensburg tornado and its associated mesoscyclones. Mon. Wea. Rev. 140, 696-712. PDF
Jones, T.A. and D. J. Stensrud, 2012: Assimilating AIRS temperature and mixing ratio profiles using an Ensemble Kalman Filter approach for convective-scale forecasts. Wea. and Forecasting, 27, 541-564.
Jones, T. A., D. J. Stensrud, P. Minnis, and R. Palikonda, 2013a: Evaluation of a forward operator to assimilate cloud water path into WRF-DART. Mon. Wea. Rev., 141, 2272–2289.
Jones, T. A., J. Otkin, D. J. Stensrud, and K. Knopfmeier, 2013b: Assimilation of satellite infrared radiances and Doppler radar observations during a cool season Observing System Simulation Experiment. Mon. Wea. Rev. 141, 3273–3299.
Potvin, C. K., and L. J. Wicker, 2012: Comparison between dual-Doppler and EnKF storm-scale wind analyses: Observing system simulation experiments with a supercell thunderstorm. Mon. Wea. Rev., 140, 3972-3991.
Suarez, A., H. D. Reeves, D.. Wheatley, M. Coniglio, 2012: Comparison of Ensemble Kalman Filter–Based Forecasts to Traditional Ensemble and Deterministic Forecasts for a Case Study of Banded Snow. Weather and Forecasting, 27, 85-105.
Therese E. Thompson, Louis J. Wicker, and Xuguang Wang, 2012: Impact from a Volumetric Radar-Sampling Operator for Radial Velocity Observations within EnKF Supercell Assimilation. J. Atmos. Oceanic Technol., 29, 1417–1427.
Wheatley, D. M., D. J. Stensrud, D. C. Dowell, and N. Yussouf, 2012: Application of a WRF Mesoscale Data Assimilation System to Springtime Severe Weather Events 2007–09. Mon. Wea. Rev., 140, 1539–1557. doi: http://dx.doi.org/10.1175/MWR-D-11-00106.1
Wurman, J., D.C. Dowell, Y. Richardson, P. Markowski, E. Rasmussen, D. Burgess, L.J. Wicker, and H.B. Bluestein, 2012: Verification of the Origins of Rotation in Tornadoes Experiment 2: VORTEX2. Bull. Amer. Meteor. Soc., 1147-1170. PDF
Yussouf, N. , D. J. Stensrud, 2012: Comparison of Single-Parameter and Multiparameter Ensembles for Assimilation of Radar Observations Using the Ensemble Kalman Filter. Monthly Weather Review, 140, 562–586.
Dowell, D. C., L. J. Wicker, C. Snyder, 2011: Ensemble Kalman filter assimilation of radar observations of the 8 May 2003 Oklahoma City supercell: Influences of reflectivity observations on storm-scale analyses. Mon. Wea. Rev., 139, 272–294. PDF
Wandishin, M., D. Stensrud, S. Mullen, and L. J. Wicker, 2010: On the predictability of mesoscale convective systems: Three-dimensional simulations. Mon. Wea. Rev., 138, 863-885. PDF.
Wheatley, D. M., and D. J. Stensrud, 2010: The Impact of Assimilating Surface Pressure Observations on Severe Weather Events in a WRF Mesoscale Ensemble System. Mon. Wea. Rev., 138, 1673–1694. doi: http://dx.doi.org/10.1175/2009MWR3042.1
Yussouf, N. , D. J. Stensrud, 2010: Impact of Phased-Array Radar Observations over a Short Assimilation Period: Observing System Simulation Experiments Using an Ensemble Kalman Filter. Monthly Weather Review, 138, 517–538.
Stensrud, D., 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: A Vision for 2020. Bull. Amer. Meteor. Soc., 90, 1487–1499. PDF