Wade, A., 2016: Rawinsonde Observations of Supercell-Environment Interactions. Thesis, University of Oklahoma.

Dawson, L. C., 2017: On the Predictability of Multiday Episodes of Severe Convective Storms During the Mesoscale Predictability Experiment. Dissertation, Purdue University.

Woznicki, J. M., 2014: Upscale feedbacks observed and modeled during the mesoscale predictability experiment. Dissertation, Purdue University.

Kerr, C., 2017: Analysis of environmental modifications by deep convection during the Mesoscale Predictability Experiment. Dissertation, University of Oklahoma.

Cushanick, M. S., 2014: IMPACT OF CONVECTION ON SURFACE FLUXES OBSERVED DURING LASP/DYNAMO 2011. Thesis, Naval Postgraduate School, Monterey CA.

Hardesty, R. M, 2014: Processing Doppler Lidar and Cloud Radar Observations for Analysis of Convective Mass Flux Parameterizations Using DYNAMO Direct Observations. Annual Report, COLORADO UNIV AT BOULDER COOPERATIVE INST FOR RESEARCH IN ENVIRONMENTAL SCIENCES.

Trampp, D. A., 2012: Upper Ocean Characteristics in the Tropical Indian Ocean from AXBT and AXCTD Measurements. Master's thesis, Naval Postgraduate School, Monterey CA.

Hawkins, J. D., 2012: NRL Satellite Support for DYNAMO Field Program. Annual Report, Naval Research Lab, Monterey, CA.

Blind-Doskocil, L.: Evolution of the Diurnal Cycle of Tropical Rainfall associated with the Madden-Julian Oscillation. National Weather Center Research Experiences for Undergraduates Program, Norman, Oklahoma.

Komori, T. and A. Shimpo: Improvement of MJO Prediction and moistening processes for the DYNAMO period. Climate Prediction Division, Japan Meteorological Agency, Tokyo, Japan.