Assessment and application of tropical cyclone clustering in the South China Sea
Abstract Accurate classification of tropical cyclone (TC) tracks is essential for evaluating and mitigating the potential disaster risks associated with TCs. In this study, three commonly used methods (K-means, Fuzzy C-Means, and Self-Organizing Maps) are assessed for clustering historical TC tracks...
Saved in:
Main Authors: | Yan Yan, Nergui Nanding, Xiaomeng Li, Yifan Shi, Bing Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-83872-9 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Impacts of tropical cyclones on extreme precipitation and flooding in a humid subtropical inland basin of China
by: Huishan Chen, et al.
Published: (2025-02-01) -
Modulation of diurnal variation in rainfall associated with tropical cyclones over the East Asia–Western North Pacific region by environmental vertical wind shear
by: Na Wei, et al.
Published: (2025-01-01) -
Quantifying impacts of two ENSO patterns on South China sea summer monsoon onset
by: Lianyi Zhang, et al.
Published: (2025-01-01) -
Modulation of western North Pacific tropical cyclone decadal variability by the Victoria mode
by: Tao Wen, et al.
Published: (2025-01-01) -
Improving tropical cyclone rapid intensification forecasts with satellite measurements of sea surface salinity and calibrated machine learning
by: Ryan Eusebi, et al.
Published: (2025-01-01)