Evaluating the Environmental Drivers and Predictive Accuracy of Rapid Hurricane Intensification: A Case Study of Hurricane Beryl Using WRF-DART and Climatological Analysis

Hurricane Beryl, which formed in the North Atlantic Ocean in late June and early July 2024, defied typical climatological patterns by rapidly intensifying into the earliest recorded Category 5 hurricane in the region. This study aims to identify and analyze the environmental factors that contributed to Beryl’s unusual formation and intensification. By examining 30 years of climatological data, including variables such as sea surface temperature, oceanic heat content, wind shear, and key atmospheric oscillations like the North Atlantic Oscillation (NAO), Madden-Julian Oscillation (MJO), and El Niño–Southern Oscillation (ENSO), the research seeks to understand the conditions conducive to such extreme events. Additionally, this study employs the Weather Research and Forecasting Data Assimilation Research Testbed (WRF-DART) to enhance the accuracy of hindcasting simulations of Hurricane Beryl. By integrating observational data, including satellite radiances and surface measurements, the study aims to refine model simulations of Beryl’s track, development, and rapid intensification. The findings of this research offer insights into how changing climatological conditions could influence future hurricane activity, providing critical information for the Caribbean islands and coastal U.S. states in improving hurricane preparedness and mitigating the impacts on life and property.