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dc.contributor.authorStehlík, Jiří
dc.date.accessioned2021-11-25T03:11:09Z
dc.date.available2021-11-25T03:11:09Z
dc.date.issued2001
dc.identifier.urihttp://hdl.handle.net/20.500.11956/159823
dc.description.abstractThe purpose of this paper is to answer the question whether the present Czech circulation pattem (CP) cIassification is dependent on other subjective cIassification schemes defined for different European regions (the British Isles, Germany and Greece respectively) and whether the Czech cIassification can be derived (predicted) from above mentioned cIassifications and vice versa. The intercomparison is done by using several statistica! tests for the period 1965-1990. The time variations in the relationships are also investigated. It follows from the achieved results that the significance of dependence of cIassifications and predictability was proved. The decreasing trend of most coefficients could be assigned to the increasing variability of weather conditions over Europe which is oCten associated with cli mate change. Another explanation could be a gradua! change in methology. When the strong dependence among the cIassifications will be confirmed also after including objective cIassification schemes and more cIassification pairs, it could serve as a basis for establishing one European CP cIassification instead of a lot of loca! ones. Such cIassification should explain the variability of local weather (precipitation, temperature) despite being developed for large-sca!e region.en
dc.language.isoen
dc.language.isocs
dc.language.isoen
dc.titleWeather to weather links :relationships between Czech circulation pattern classification and other European regional classification schemesen
dc.typePříspěvek v časopisucs
dc.description.startPage155
dc.description.endPage167
dcterms.isPartOf.nameActa Universitatis Carolinae. Geographicaen
dcterms.isPartOf.journalYear2001
dcterms.isPartOf.journalVolume36
dcterms.isPartOf.journalIssue2
dcterms.isPartOf.issn0300-5402
dc.identifier.lisID000027865
dc.subject.keywordcirculation pattern classificationen
dc.subject.keywordstatistical intercomparisonen


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