Forecasting Rapid Intensification: An Investigation into Hurricane Patricia’s (2015) Rapid Intensification Behavior using WRF

Accurate forecasting of rapid intensification of tropical cyclones remains a significant challenge for meteorologists into the present day. This study investigates the ability of the Weather Research and Forecasting (WRF) model to simulate this phenomenon utilizing Hurricane Patricia (2015) as a case study and investigated the factors that went into the intensification behavior. An ensemble of high-resolution numerical simulations using various parameter configurations were performed and diagnostic analyses were conducted. Results show that while some model runs captured the overall structure and track of Patricia, none of the ensemble members accurately reproduced the observed storm intensity in terms of wind speeds or minimum sea level pressure. The simulations tended to underpredict the storm's intensity, with the best-performing member producing a strong Category 3 or weak Category 4 hurricane. Comparisons of different convective schemes highlight their impacts on resolving smaller-scale processes crucial for simulating intensification in a storm like Patricia. Though exhibiting some improvements since 2015, this analysis reveals the challenges that come with forecasting and modeling extreme intensification events such as that of Patricia. Overcoming this limitation requires further advancements in model physics, data assimilation, and understanding of underlying atmospheric dynamics. The findings underscore the need for continued research to enhance tropical cyclone intensification forecasting capabilities.