Synchronous wind, wave and rain dataset from Sentinel-1 during tropical cyclones in 2016-2024

DOI:10.4121/08730743-3c66-4317-a99a-ef85b5739f2d.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/08730743-3c66-4317-a99a-ef85b5739f2d

Datacite citation style

Shao, Weizeng; Hu, Yuyi; Hao, Mengyu (2025): Synchronous wind, wave and rain dataset from Sentinel-1 during tropical cyclones in 2016-2024. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/08730743-3c66-4317-a99a-ef85b5739f2d.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Datasets consisting of wind speed, wind direction, significant wave height, and rain rate data from 357 Sentinel-1 observations of tropical cyclines during 2016-2024, generated using an XGBoost machine learning model (see Shao et al., Synchronous wind, wave and rain dataset from Sentinel-1 during tropical cyclones in 2016-2024, under review). The data can be used to quantify compound hazards induced by coupled wind-wave-rain interactions during tropical cyclones.

History

  • 2025-07-01 first online, published, posted

Publisher

4TU.ResearchData

Format

media types: application/.zip, text/.txt, netcdf/.nc

Organizations

College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, China

DATA

Files (2)