DOI 10.1007/s00382-007-0235-z Probabilistic clustering of extratropical cyclones using regression mixture models

Abstract A probabilistic clustering technique is developed for classification of wintertime extratropical cyclone (ETC) tracks over the North Atlantic. We use a regression mixture model to describe the longitude-time and latitudetime propagation of the ETCs. A simple tracking algorithm is applied to...

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Main Authors: Michael Ghil, S. J. Gaffney, A. W. Robertson, S. J. Camargo, P. Smyth, M. Ghil
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
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North Atlantic
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.3052
http://www.ldeo.columbia.edu/~suzana/papers/gaffney_et_al_clim_dyn07.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.330.3052 2023-05-15T17:32:11+02:00 DOI 10.1007/s00382-007-0235-z Probabilistic clustering of extratropical cyclones using regression mixture models Michael Ghil S. J. Gaffney A. W. Robertson S. J. Camargo P. Smyth M. Ghil The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.3052 http://www.ldeo.columbia.edu/~suzana/papers/gaffney_et_al_clim_dyn07.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.3052 http://www.ldeo.columbia.edu/~suzana/papers/gaffney_et_al_clim_dyn07.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.ldeo.columbia.edu/~suzana/papers/gaffney_et_al_clim_dyn07.pdf text ftciteseerx 2016-09-04T00:40:01Z Abstract A probabilistic clustering technique is developed for classification of wintertime extratropical cyclone (ETC) tracks over the North Atlantic. We use a regression mixture model to describe the longitude-time and latitudetime propagation of the ETCs. A simple tracking algorithm is applied to 6-hourly mean sea-level pressure fields to obtain the tracks from either a general circulation model (GCM) or a reanalysis data set. Quadratic curves are found to provide the best description of the data. We select a three-cluster classification for both data sets, based on a mix of objective and subjective criteria. The track orientations in each of the clusters are broadly similar for the GCM and reanalyzed data; they are characterized by predominantly south-to-north (S–N), west-to-east (W–E), and Text North Atlantic Unknown
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
description Abstract A probabilistic clustering technique is developed for classification of wintertime extratropical cyclone (ETC) tracks over the North Atlantic. We use a regression mixture model to describe the longitude-time and latitudetime propagation of the ETCs. A simple tracking algorithm is applied to 6-hourly mean sea-level pressure fields to obtain the tracks from either a general circulation model (GCM) or a reanalysis data set. Quadratic curves are found to provide the best description of the data. We select a three-cluster classification for both data sets, based on a mix of objective and subjective criteria. The track orientations in each of the clusters are broadly similar for the GCM and reanalyzed data; they are characterized by predominantly south-to-north (S–N), west-to-east (W–E), and
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Michael Ghil
S. J. Gaffney
A. W. Robertson
S. J. Camargo
P. Smyth
M. Ghil
spellingShingle Michael Ghil
S. J. Gaffney
A. W. Robertson
S. J. Camargo
P. Smyth
M. Ghil
DOI 10.1007/s00382-007-0235-z Probabilistic clustering of extratropical cyclones using regression mixture models
author_facet Michael Ghil
S. J. Gaffney
A. W. Robertson
S. J. Camargo
P. Smyth
M. Ghil
author_sort Michael Ghil
title DOI 10.1007/s00382-007-0235-z Probabilistic clustering of extratropical cyclones using regression mixture models
title_short DOI 10.1007/s00382-007-0235-z Probabilistic clustering of extratropical cyclones using regression mixture models
title_full DOI 10.1007/s00382-007-0235-z Probabilistic clustering of extratropical cyclones using regression mixture models
title_fullStr DOI 10.1007/s00382-007-0235-z Probabilistic clustering of extratropical cyclones using regression mixture models
title_full_unstemmed DOI 10.1007/s00382-007-0235-z Probabilistic clustering of extratropical cyclones using regression mixture models
title_sort doi 10.1007/s00382-007-0235-z probabilistic clustering of extratropical cyclones using regression mixture models
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.3052
http://www.ldeo.columbia.edu/~suzana/papers/gaffney_et_al_clim_dyn07.pdf
genre North Atlantic
genre_facet North Atlantic
op_source http://www.ldeo.columbia.edu/~suzana/papers/gaffney_et_al_clim_dyn07.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.3052
http://www.ldeo.columbia.edu/~suzana/papers/gaffney_et_al_clim_dyn07.pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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