cff-version: 1.2.0
abstract: "<p>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.</p>"
authors:
  - family-names: Shao
    given-names: Weizeng
    orcid: "https://orcid.org/0000-0003-3693-6217"
  - family-names: Hu
    given-names: Yuyi
    orcid: "https://orcid.org/0009-0002-9203-586X"
  - family-names: Hao
    given-names: Mengyu
    orcid: "https://orcid.org/0009-0003-9320-3797"
title: "Synchronous wind, wave and rain dataset from Sentinel-1 during tropical cyclones in 2016-2024"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/08730743-3c66-4317-a99a-ef85b5739f2d.v1
license: CC BY-NC 4.0
date-released: 2025-07-01