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Liu, B., and A. A. Seate, 2019: How Forecasters Decide to Warn about Tornadoes: Multi-Sited Rapid Ethnography Training Guide. University of Maryland, report, doi: 10.13016/spik-lyk8.

Nixon, C. J., 2019: THE GOES-16 geostationary lightning mapper: Lightning trends within tornadic quasi-linear convective systems. Texas Tech University, thesis.

Lyza, A. W., 2019: An initial investigation of the role of the northeastern Alabama plateaus in modifying the near-storm environment of potentially tornadic storms. The University of Alabama in Huntsville, dissertation.

Bell, T., 2021: Examining Novel Profiling Systems and Their Synergy for Advancing Boundary-Layer Research. The University of Oklahoma, thesis.

Goudeau, B., 2018: A Case Study on the Usage and Efficacy of Infrasound Monitoring Arrays as a Means of Tornado Detection. The University of Alabama in Huntsville, thesis.

Graham, M., 2023: A Case Study of the 19 March 2018 Northern Alabama Tornadic Supercell and Its Relation to an Atmospheric. The University of Alabama in Huntsville, thesis.

Saunders, P. E., 2018: Objective Identification and Tracking of ZDR Columns in X-band Radar Observations. Purdue University, thesis.

Prosser, A., 2022: Mesovortex-Induced Tornadoes: A Case Study of the 13 April 2018 Northwest Louisiana Quasi-Linear Convective System. University of Oklahoma, thesis.

Sharma, M., 2022: The Relationship Between Cloud Microphysics and Electrification in Southeast U.S. Storms Investigated Using Polarimetric, Cold Pool, and Lightning Characteristics. Purdue University, thesis.