Probabilistic Clustering of Extratropical Cyclones Using Regression Mixture Models

A probabilistic clustering technique is developed for classification of wintertime extratropical cyclone (ETC) tracks over the North Atlantic. A regression mixture model is used to describe the longitude-time and latitude-time propagation of the ETCs. Tracks are obtained from a simple tracking algor...

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Main Authors: Scott J. Gaffney, Andrew W. Robertson, Padhraic Smyth, Suzana J. Camargo, Michael Ghil
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2005
Subjects:
North Atlantic
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.8843
http://www.atmos.ucla.edu/tcd/PREPRINTS/GaffneyEtAl_MWRsubm_Jun05.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.59.8843 2023-05-15T17:31:27+02:00 Probabilistic Clustering of Extratropical Cyclones Using Regression Mixture Models Scott J. Gaffney Andrew W. Robertson Padhraic Smyth Suzana J. Camargo Michael Ghil The Pennsylvania State University CiteSeerX Archives 2005 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.8843 http://www.atmos.ucla.edu/tcd/PREPRINTS/GaffneyEtAl_MWRsubm_Jun05.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.8843 http://www.atmos.ucla.edu/tcd/PREPRINTS/GaffneyEtAl_MWRsubm_Jun05.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.atmos.ucla.edu/tcd/PREPRINTS/GaffneyEtAl_MWRsubm_Jun05.pdf text 2005 ftciteseerx 2016-01-08T13:28:30Z A probabilistic clustering technique is developed for classification of wintertime extratropical cyclone (ETC) tracks over the North Atlantic. A regression mixture model is used to describe the longitude-time and latitude-time propagation of the ETCs. Tracks are obtained from a simple tracking algorithm applied to 6-hourly mean sea-level pressure fields from either a general circulation model (GCM) or an observed data set. Three clusters of ETC behavior are identified in both cases; they are characterized by predominantly south-to-north (S-N), west-to-east (W-E), and southwest-to-northeast (SW-NE) tracking cyclones. Quadratic curves are found to provide the best description of the data. The results Text North Atlantic Unknown
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
description A probabilistic clustering technique is developed for classification of wintertime extratropical cyclone (ETC) tracks over the North Atlantic. A regression mixture model is used to describe the longitude-time and latitude-time propagation of the ETCs. Tracks are obtained from a simple tracking algorithm applied to 6-hourly mean sea-level pressure fields from either a general circulation model (GCM) or an observed data set. Three clusters of ETC behavior are identified in both cases; they are characterized by predominantly south-to-north (S-N), west-to-east (W-E), and southwest-to-northeast (SW-NE) tracking cyclones. Quadratic curves are found to provide the best description of the data. The results
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Scott J. Gaffney
Andrew W. Robertson
Padhraic Smyth
Suzana J. Camargo
Michael Ghil
spellingShingle Scott J. Gaffney
Andrew W. Robertson
Padhraic Smyth
Suzana J. Camargo
Michael Ghil
Probabilistic Clustering of Extratropical Cyclones Using Regression Mixture Models
author_facet Scott J. Gaffney
Andrew W. Robertson
Padhraic Smyth
Suzana J. Camargo
Michael Ghil
author_sort Scott J. Gaffney
title Probabilistic Clustering of Extratropical Cyclones Using Regression Mixture Models
title_short Probabilistic Clustering of Extratropical Cyclones Using Regression Mixture Models
title_full Probabilistic Clustering of Extratropical Cyclones Using Regression Mixture Models
title_fullStr Probabilistic Clustering of Extratropical Cyclones Using Regression Mixture Models
title_full_unstemmed Probabilistic Clustering of Extratropical Cyclones Using Regression Mixture Models
title_sort probabilistic clustering of extratropical cyclones using regression mixture models
publishDate 2005
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.8843
http://www.atmos.ucla.edu/tcd/PREPRINTS/GaffneyEtAl_MWRsubm_Jun05.pdf
genre North Atlantic
genre_facet North Atlantic
op_source http://www.atmos.ucla.edu/tcd/PREPRINTS/GaffneyEtAl_MWRsubm_Jun05.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.8843
http://www.atmos.ucla.edu/tcd/PREPRINTS/GaffneyEtAl_MWRsubm_Jun05.pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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