Kong, F., K.K. Droegemeier and N.L. Hickmon, 2006:  Multiresolution ensemble forecasts of an observed tornadic thunderstorm system, Part I: Comparison of coarse and fine-grid ensembles.  Mon. Wea. Rev, 134, 807-833.

Nascimento, E. and K.K. Droegemeier, 2006:  Dynamic adjustment in a numerically simulated mesoscale convective system:  Impact of the wind field.  J. Atmos. Sci., 63, 2246-2268.

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.

Plale, B., D. Gannon, J. Brotzge, K.K. Droegemeier and Co-Authors, 2006:  CASA and LEAD:  Adaptive cyberinfrastructure for real-time multiscale weather forecasting.  IEEE Computer, 39, 66-74.

Brotzge, J., K.K. Droegemeier, and D.J. McLaughlin, 2006:  Collaborative Adaptive Sensing of the Atmosphere (CASA): New radar system for improving analysis and forecasting of surface weather conditions.  J. Transport. Res. Board, No. 1948, 145-151.

Gao, J., M. Xue, S. Lee, A. Shapiro and K. K. Droegemeier, 2006: A Three-dimensional variational method for velocity retrievals from single-Doppler radar on supercell storms.  Meteor. and Atmos. Phys., 94, 11-26.

Kong, F., K.K. Droegemeier and N.L. Hickmon, 2007:  Multiresolution ensemble forecasts of an observed tornadic thunderstorm system, Part II.  Mon. Wea. Rev., 135, 759-782.

Kelleher, K., K.K. Droegemeier and co-authors, 2007:  Project CRAFT:  Technical Aspects of a Real Time Delivery System for NEXRAD Level II Data via the Internet.  Bull. Amer. Meteor. Soc., 88, 1045-1057.

Richardson, Y.P., K.K. Droegemeier and R.P. Davies-Jones, 2007:  The influence of horizontal environmental variability on numerically-simulated convective storms, Part I:  Variations in vertical shear.  Mon. Wea. Rev., 135, 3429-3455.

Xue, M., K.K. Droegemeier, and D. Weber, 2007:  Numerical Prediction of High-Impact Local Weather:  A driver for Petascale Computing.  Chapter 18 in Petascale Computing: Algorithms and Applications, Chapman and Hall/CRC Press, 568 pp.

Kain, J.S., S.J. Weiss, D.R. Bright, M.E. Baldwin, J.J. Levit, G.W. Carbin, C.S. Schwartz, M.L. Weisman, K.K. Droegemeier, D.E. Weber, K.W. Thomas, 2008:  Some practical considerations regarding horizontal resolution in the first generation of operational convection-allowing NWP. Wea. and Forecasting, 23, 931-952.

Brewster, K.A., D.B. Weber, S. Marru, K.W. Thomas, D. Gannon, K. Droegemeier, J. Alameda and S. Weiss, 2008:  On-demand severe weather forecasts using TeraGrid via the LEAD portal.  TeraGrid 2008.

 Xue, M., J. Dong and K.K. Droegemeier, 2008:  The analysis and impact of simulated high-resolution surface observations for convective storms with ensemble Kalman filter:  Perfect model experiments.  Submitted to Mon. Wea. Rev.

Gao, J., J. Du, M. Xue and K.K. Droegemeier, 2008:  Testing of a dual-resolution ensemble Kalman filter approach for barotropic waves in a shallow water system. Submitted to Geophys. Res. Lett.

Droegemeier, K.K., 2008:  Transforming the Sensing and Numerical Prediction of High Impact Local Weather Through Dynamic Adaptation. Phil. Trans. of the Royal Soc. A, 1-20.

Proud, J., K.K. Droegemeier, V.T. Wood and R.A. Brown, 2009:  Sampling strategies for tornado and mesocyclone detection using dynamically adaptive Doppler radars:  A simulation study.  J. Atmos. and Oceanic Tech., 26, 492-507.

Dunning Jr., T.H., K. Schulten, J. Tromp, J. Ostriker, K. Droegemeier, M. Xue and P. Fussell, 2009:  Science and engineering in the petascale era.  Computing in Science and Engineering, 11, 28-36.

Palmer, R., M. Biggerstaff, P. Chilson, J. Crain, K. Droegemeier, Y. Hong, M. Yeary, T.-Y. Yu, G. Zhang and Y. Zhang, 2009:  Weather radar education at the University of Oklahoma:  An integrated interdisciplinary approach.  Bull. Amer. Met. Soc., 90, 1277-1282.

McGovern, A., D.H. Rosendahl, R.A. Brown and K.K. Droegemeier, 2011:  Identifying predictive multi-dimensional time series motifs:  An application to severe weather.  Data Mining and Knowledge Discovery, 22, 232-258.