Martinez, J., 2016: EXAMINATION OF TROPICAL CYCLONE STRUCTURE AND INTENSIFICATION WITH THE EXTENDED FLIGHT LEVEL DATASET (FLIGHT+) FROM 1999 TO 2012. University of Hawaii at Mānoa, thesis.

Buholzer, N., 2019: OBSERVATIONS OF ENVIRONMENTAL FACTORS AFFECTING INTENSITY CHANGES DURING THE TRACK REVERSAL OF HURRICANE JOAQUIN (2015). Naval Postgraduate School, thesis.

Duran, P. T., 2018: The Upper-Level Turbulence, Static Stability and Tropopause Structure of Tropical Cyclones. State University of New York at Albany, dissertation.

Martinez, J. 2020: Axisymmetric and Asymmetric Processes Contributing to Tropical Cyclone Intensification and Expansion. Colorado State University, dissertation.

Jorgensen, A. C., 2017: Factors Contributing to the Interrupted Decay of Hurricane Joaquin (2015) in a Moderate Vertical Wind Shear Environment. Naval Postgraduate School Monterey US, technical report.

Wang, X., L. Leslie and J. Doyle, 2019: Understanding the Impact of Outflow on Hurricane Intensification through Ensemble-Based Data Assimilation and Ensemble Simulation with Multiple Models. University of Oklahoma Norman US, technical report.

Breach, K. I., 2017: Analysis of Tropical Cyclone Initialization in COAMPS-TC for Hurricane Patricia (2015) Utilizing TCI Experiment Datasets. Naval Postgraduate School Monterey US, technical report.

Peng, M. S., E. A. Hendricks, R. L. Elsberry, C. S. Velden, and M. M. Bell, 2019: Improved NAVGEM Tropical Cyclone Predictions from Upscaled COAMPS Dynamic Initialization Analyses that have Incorporated Rapid Scan Atmospheric Motion Vectors During the Tropical Cyclone Intensity (TCI-15) Field Experiment. 33rd Conference on Hurricanes and Tropical Meteorology, AMS, Ponte Vedra Beach FL, 16-20 April 2018.

Pu, Z., and S. Zhang, 2018: Understanding Tropical Cyclone Intensity Changes Through Assimilation of Observations During Tropical Cyclone Intensity (TCI) Experiment. 33rd Conference on Hurricanes and Tropical Meteorology, AMS, Ponte Vedra Beach Florida, 16-20 April 2018.

Doyle, J. D., D. Holdaway, and C. M. Amerault, 2017: Multi-scale Sensitivity and Predictability of Hurricane Joaquin (2015) Illuminated Through Adjoint Studies. AGU Fall Meeting 2017, New Orleans LA, December 2017.