On the forecasting efficiency of self-informative and inertial characteristics of average monthly air temperature anomalies

dc.contributor.author	Vereshchagin M.
dc.contributor.author	Perevedentsev Y.
dc.date.accessioned	2018-09-17T21:38:23Z
dc.date.available	2018-09-17T21:38:23Z
dc.date.issued	1993
dc.identifier.issn	0130-2906
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/135248
dc.description.abstract	On the basis of long-time (1881-1960) observations at the Kazan' University weather bureau, the feasibility to use the self-informative and inertial properties of average monthly air temperature anomalies for their long-period forecasting is studied. The possibility of using the forecasting properties of average monthly air temperature anomalies is considerably dependent on their representation and varies with seasons. The months for which such forecasts are most advisable are determined.
dc.relation.ispartofseries	Meteorologiya i Gidrologiya
dc.title	On the forecasting efficiency of self-informative and inertial characteristics of average monthly air temperature anomalies
dc.type	Article
dc.relation.ispartofseries-issue	6
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	102
dc.source.id	SCOPUS01302906-1993-6-SID0027614752

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.