This research investigates tropical atmospheric waves that influence rainfall, storms, and seasonal weather patterns. Using satellite observations and machine learning, the study shows that wave propagation depends on geographic location, upper-level winds, and topography. The findings can improve weather forecasting models and help communities better prepare for extreme rainfall events.

This dissertation introduces a mixed-methods framework integrating midwifery, meteorology, and geography to study Black birthing outcomes. Rejecting deficit-based comparisons, it centers community-specific strengths and environments. Through qualitative studies of Black midwifery and quantitative climate analyses, the work offers a more holistic, justice-oriented approach to environmental health research.