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.

Miller, R., 2018: Kinematics, Thermodynamics, and Microphysics of the 25-26 June 2015 Kansas MCS during PECAN. University of Oklahoma, thesis.

Sullivan, S. M., 2016: June 9-10, 2015: A case study of the Great Plains Low-Level Jet during PECAN (Plains Elevated Convection at Night). University of Wyoming, thesis.

Stelten, S. A., and W. A. Gallus Jr., 2015: Classification and Analysis of Four Types of Elevated Nocturnal Convective Initiation During Summer 2015. AGU Fall Meeting 2015, San Francisco CA, December 2015.

Parsons, D. B., and T. M. Weckwerth, 2023: Highlights of Boundary Layer Research from the PECAN (Plains Elevated Convection at Night) Field Campaign. 103rd Annual AMS Meeting, Denver & Online, 8-12 January 2023.