Classifying North Atlantic Tropical Cyclone Tracks by Mass Moments*
A new method for classifying tropical cyclones or similar features is introduced. The cyclone track is considered as an open spatial curve, with the wind speed or power information along the curve considered to be a mass attribute. The first and second moments of the resulting object are computed an...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.329.2158 2023-05-15T17:29:10+02:00 Classifying North Atlantic Tropical Cyclone Tracks by Mass Moments* Yochanan Kushnir Suzana J. Camargo The Pennsylvania State University CiteSeerX Archives 2008 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.2158 http://admin.water.columbia.edu/sitefiles/file/pub/White Papers/Lall2009Classifying(1).pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.2158 http://admin.water.columbia.edu/sitefiles/file/pub/White Papers/Lall2009Classifying(1).pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://admin.water.columbia.edu/sitefiles/file/pub/White Papers/Lall2009Classifying(1).pdf text 2008 ftciteseerx 2016-09-04T00:35:37Z A new method for classifying tropical cyclones or similar features is introduced. The cyclone track is considered as an open spatial curve, with the wind speed or power information along the curve considered to be a mass attribute. The first and second moments of the resulting object are computed and then used to classify the historical tracks using standard clustering algorithms. Mass moments allow the whole track shape, length, and location to be incorporated into the clustering methodology. Tropical cyclones in the North Atlantic basin are clustered with K-means by mass moments, producing an optimum of six clusters with differing genesis locations, track shapes, intensities, life spans, landfalls, seasonal patterns, and trends. Even variables that are not directly clustered show distinct separation between clusters. A trend analysis confirms recent conclusions of increasing tropical cyclones in the basin over the past two decades. However, the trends vary across clusters. 1. Text North Atlantic Unknown |
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ftciteseerx |
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English |
description |
A new method for classifying tropical cyclones or similar features is introduced. The cyclone track is considered as an open spatial curve, with the wind speed or power information along the curve considered to be a mass attribute. The first and second moments of the resulting object are computed and then used to classify the historical tracks using standard clustering algorithms. Mass moments allow the whole track shape, length, and location to be incorporated into the clustering methodology. Tropical cyclones in the North Atlantic basin are clustered with K-means by mass moments, producing an optimum of six clusters with differing genesis locations, track shapes, intensities, life spans, landfalls, seasonal patterns, and trends. Even variables that are not directly clustered show distinct separation between clusters. A trend analysis confirms recent conclusions of increasing tropical cyclones in the basin over the past two decades. However, the trends vary across clusters. 1. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Yochanan Kushnir Suzana J. Camargo |
spellingShingle |
Yochanan Kushnir Suzana J. Camargo Classifying North Atlantic Tropical Cyclone Tracks by Mass Moments* |
author_facet |
Yochanan Kushnir Suzana J. Camargo |
author_sort |
Yochanan Kushnir |
title |
Classifying North Atlantic Tropical Cyclone Tracks by Mass Moments* |
title_short |
Classifying North Atlantic Tropical Cyclone Tracks by Mass Moments* |
title_full |
Classifying North Atlantic Tropical Cyclone Tracks by Mass Moments* |
title_fullStr |
Classifying North Atlantic Tropical Cyclone Tracks by Mass Moments* |
title_full_unstemmed |
Classifying North Atlantic Tropical Cyclone Tracks by Mass Moments* |
title_sort |
classifying north atlantic tropical cyclone tracks by mass moments* |
publishDate |
2008 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.2158 http://admin.water.columbia.edu/sitefiles/file/pub/White Papers/Lall2009Classifying(1).pdf |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
http://admin.water.columbia.edu/sitefiles/file/pub/White Papers/Lall2009Classifying(1).pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.2158 http://admin.water.columbia.edu/sitefiles/file/pub/White Papers/Lall2009Classifying(1).pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766122794555277312 |