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- Title
REVIEW OF TROPICAL CYCLONE INTENSITY ESTIMATION METHODS BASED ON SATELLITE REMOTE SENSING.
- Authors
HU Tianhui; YU Hui; LU Xiaoqin
- Abstract
Tropical cyclones spend most of their time in the ocean, where routine meteorological observation is lacking. Satellite remote sensing, as the main technology for large-scale Earth observation, has provided important data for the estimation of tropical cyclone intensity since the 1960s. In recent years, the data used by the satellite-based tropical cyclone intensity estimation methods have gradually expanded from single-channel data to multiple-channel data including those from infrared, water vapor, and microwave channels. The modeling methods have also developed from the linear model of artificial feature extraction to the nonlinear deep learning model of automatic feature engineering. In the future, the focus will still be the application of multi-channel and multi-satellite data fusion. The combination of human- defined feature and deep learning methods, and the carrying of microwave sounders on stationary satellites are expected to bring new breakthroughs in the area.
- Publication
Journal of Tropical Meteorology (1004-4965), 2022, Vol 38, Issue 2, p311
- ISSN
1004-4965
- Publication type
Article
- DOI
10.16032/j.issn.1004-4965.2022.029