Schima, J., G. M. McFarquhar, D.J. Delene, E. Järvinen, M. Schnaiter, A. J. Heymsfield, A. Bansemer, and J. Finlon, 2024: A Multi-Probe Automated Classification of Ice Crystal Habits During the IMPACTS Campaign. Poster presented at AMS Annual Meeting, Baltimore, MD, 1 February 2024.

Turner, D. D., N. Yussouf, and T. Wagner, 2019: Real-Time Boundary-Layer Profiling at the Southern Great Plains Field Campaign Report. US Department of Energy, Office of Science, report.

Yang, Z., D. Whiteman, X. Chen, J. Wilkins, and B. Demoz, 2021: Assimilating Radar and Lidar Observations to Improve the Prediction of Bore Waves during the 2015 PECAN Field Campaign. AGU Fall Meeting 2021, New Orleans LA, 13-17 December 2021.

Cui, W., 2021: Investigation of Mid-Latitude MCSs Cloud and Precipitation Properties and Their Associated Environments Through an Integrative Analysis of Ground Radar, Satellite and Reanalysis Data and Machine Learning Techniques. University of Arizona, dissertation.

McAuliffe, M., 2019: The Importance of Soil Moisture Content on Numerical Simulations and the Summertime Great Plains Low Level Jet. University of California, Davis, dissertation.

Lillo, S., 2021: Development and Application of a Unified Framework for Meso to Synoptic Scale Error Growth Diagnosis and Weather Extremes in Global Numerical Weather Prediction. University of Oklahoma, dissertation.

Chipilski, H. G., 2021: Assimilation of ground-based remote sensors for improving the prediction of bore-generating nocturnal convection. University of Oklahoma, dissertation.

Tang, S., and S. Xie, 2018: Understanding large-scale controls of nighttime elevated convections over the Great Plains during PECAN field experiment. AGU Fall Meeting 2018, Washington DC, December 2018.

Degelia, S., 2021: Improving the Prediction of Nocturnal Convection through the Assimilation of Novel Datasets: Observation Impacts and Error Treatment. University of Oklahoma, dissertation.

Miller, R. L., 2023: Diagnosis of Severe Wind Processes in Two Nocturnal MCSs Observed during PECAN. PhD Dissertation.