Willis Research Network Global Tropical Cyclone Wind Footprint Dataset

• Main Authors: DONE, JAMES, Ge, Ming, Holland, Greg, Dima-West, Ioana, Phibbs, Samuel, Saville, Geoffrey R., Wang, Yuqing
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: figshare 2022
• Subjects: Atmospheric Sciences; FOS Earth and related environmental sciences; Climate Science; 40105 Climatology excl. Climate Change Processes; Pacific; Willis; North Atlantic
• Online Access: https://dx.doi.org/10.6084/m9.figshare.c.5843453; https://figshare.com/collections/Willis_Research_Network_Global_Tropical_Cyclone_Wind_Footprint_Dataset/5843453

This dataset consists of 1046 global historical tropical cyclone (TC) wind footprints generated using the modeling approach described in Done et al. (2020). The dataset contains all TCs that made landfall with maximum wind speed of at least 40mph. Near-miss TCs are also included, defined as TCs that...