To achieve this objective, we will utilize 6-hourly best-track data from the National Hurricane Center's (NHC) HURDAT2 spanning the period from 1979 to 2021. By using the methods detailed in Archambault et al. (2013), we will identify EPAC TCs that undergo recurvature. To detect RWB events favorable for downstream EPAC TC recurvature, we will utilize a RWB tracking algorithm formulated by Bowley et al. (2019) and apply it to the ERA5 reanalysis data.
In addition to identifying and characterizing TC recurvature events, storm-relative composite analyses of large-scale flow patterns will be constructed and linked to EPAC TC recurvature events using ERA5 reanalysis. We will also present a representative case study to illustrate the methodology employed in this study and to showcase a notable instance of EPAC TC recurvature. We anticipate that our findings will provide valuable insights into the chosen methodology, allowing us to further elucidate the clarity and applicability of our research.
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