In this paper, we apply finite-mixture-model-based clustering algorithms to cluster post-landfall tracks of tropical cyclones (TCs) making landfall over China. Because existing studies find that landfall surfaces or elevations affect post-landfall TC movements, we also take account of elevations in addition to time orders in this model. Our study reveals three clusters, with cluster 1 making landfall in Hainan province and moving across the western coast of Guangdong province. Most of the TC tracks in cluster 1 move over the ocean and make secondary landfalls over Yunnan province of China and Vietnam. Cluster 1 finally dissipates inland and moves westward as a result of the westward-shift subtropical high, westward steering flow, easterly v...
This paper is the first of a two-part series of papers that employs the data-mining approach to anal...
In the South China Sea (SCS), 17% of tropical cyclones (TCs) formed in the late season (November−Jan...
The present study analyzed the interdecadal variation by applying the statistical change-point analy...
The equal division of tropical cyclone (TC) trajectory method, the mass moment of the TC trajectory ...
A new probabilistic clustering technique, based on a regression mixture model, is used to describe t...
This is the second paper of a two-part series of papers on the analysis of tropical cyclone (TC) tra...
Introduction Typhoons have a large socio-economic impact in many countries in Asia. Depending on th...
Extratropical cyclones (ETCs) are active in spring over East Asia, and their surface impacts are cru...
Spatiotemporal patterns are one of the greatest interests and provide valuable insights into chronol...
This study examines whether there are significant differences in intensity and destructiveness of la...
Typhoon storm surge disasters have garnered much attention because of their catastrophic damages. We...
To date it has proved difficult to make seasonal forecasts of tropical cyclones, particularly for la...
A new probabilistic clustering method, based on a regression mixture model, is used to describe trop...
Observations have shown that circulation patterns in the South China Sea (SCS) are relatively more f...
The tropical cyclone (TC) trajectory model has been widely used to investigate the mechanism of the ...
This paper is the first of a two-part series of papers that employs the data-mining approach to anal...
In the South China Sea (SCS), 17% of tropical cyclones (TCs) formed in the late season (November−Jan...
The present study analyzed the interdecadal variation by applying the statistical change-point analy...
The equal division of tropical cyclone (TC) trajectory method, the mass moment of the TC trajectory ...
A new probabilistic clustering technique, based on a regression mixture model, is used to describe t...
This is the second paper of a two-part series of papers on the analysis of tropical cyclone (TC) tra...
Introduction Typhoons have a large socio-economic impact in many countries in Asia. Depending on th...
Extratropical cyclones (ETCs) are active in spring over East Asia, and their surface impacts are cru...
Spatiotemporal patterns are one of the greatest interests and provide valuable insights into chronol...
This study examines whether there are significant differences in intensity and destructiveness of la...
Typhoon storm surge disasters have garnered much attention because of their catastrophic damages. We...
To date it has proved difficult to make seasonal forecasts of tropical cyclones, particularly for la...
A new probabilistic clustering method, based on a regression mixture model, is used to describe trop...
Observations have shown that circulation patterns in the South China Sea (SCS) are relatively more f...
The tropical cyclone (TC) trajectory model has been widely used to investigate the mechanism of the ...
This paper is the first of a two-part series of papers that employs the data-mining approach to anal...
In the South China Sea (SCS), 17% of tropical cyclones (TCs) formed in the late season (November−Jan...
The present study analyzed the interdecadal variation by applying the statistical change-point analy...