A weather pattern classification by trajectory clustering

For environmental meteorological studies it is often crucial to have access to a weather pattern classification scheme, which also includes information about the source area and the path of an air parcel. Besides the fact that most weather pattern classifications lack objectivity, only a few are app...

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Main Authors: Andreas Stohl, Helfried Scheifinger
Format: Article
Language:English
Published: Borntraeger 1994-12-01
Series:Meteorologische Zeitschrift
Subjects:
Online Access:http://dx.doi.org/10.1127/metz/3/1994/333
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author Andreas Stohl
Helfried Scheifinger
author_facet Andreas Stohl
Helfried Scheifinger
author_sort Andreas Stohl
collection DOAJ
description For environmental meteorological studies it is often crucial to have access to a weather pattern classification scheme, which also includes information about the source area and the path of an air parcel. Besides the fact that most weather pattern classifications lack objectivity, only a few are applicable to environmental questions. Thus a new approach was persued in this work to obtain the desired information. Isobaric backward trajectories, calculated twice daily over a period of three and a half years ending in the Eastern Alps were sorted into nine typical clusters by a clustering technique described in Dorling at al. (1992). Relating the classification with selected meteorological and chemical parameters of the atmosphere measured at various Austrian sites the method was found to yield meaningful results.
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spelling doaj.art-fc80effa73d242a7b3807383b24f80dc2024-02-08T08:11:49ZengBorntraegerMeteorologische Zeitschrift0941-29481994-12-013633333610.1127/metz/3/1994/33389577A weather pattern classification by trajectory clusteringAndreas StohlHelfried ScheifingerFor environmental meteorological studies it is often crucial to have access to a weather pattern classification scheme, which also includes information about the source area and the path of an air parcel. Besides the fact that most weather pattern classifications lack objectivity, only a few are applicable to environmental questions. Thus a new approach was persued in this work to obtain the desired information. Isobaric backward trajectories, calculated twice daily over a period of three and a half years ending in the Eastern Alps were sorted into nine typical clusters by a clustering technique described in Dorling at al. (1992). Relating the classification with selected meteorological and chemical parameters of the atmosphere measured at various Austrian sites the method was found to yield meaningful results.http://dx.doi.org/10.1127/metz/3/1994/333environmental meteorological studiesair parcelisobaric backward trajectoriesaustriaumweltmeteorologische studienluftpaketisobare rückwärtstrajektorienösterreich
spellingShingle Andreas Stohl
Helfried Scheifinger
A weather pattern classification by trajectory clustering
Meteorologische Zeitschrift
environmental meteorological studies
air parcel
isobaric backward trajectories
austria
umweltmeteorologische studien
luftpaket
isobare rückwärtstrajektorien
österreich
title A weather pattern classification by trajectory clustering
title_full A weather pattern classification by trajectory clustering
title_fullStr A weather pattern classification by trajectory clustering
title_full_unstemmed A weather pattern classification by trajectory clustering
title_short A weather pattern classification by trajectory clustering
title_sort weather pattern classification by trajectory clustering
topic environmental meteorological studies
air parcel
isobaric backward trajectories
austria
umweltmeteorologische studien
luftpaket
isobare rückwärtstrajektorien
österreich
url http://dx.doi.org/10.1127/metz/3/1994/333
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AT helfriedscheifinger aweatherpatternclassificationbytrajectoryclustering
AT andreasstohl weatherpatternclassificationbytrajectoryclustering
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