Powered by OpenAIRE graph
Found an issue? Give us feedback

Тепловой режим Северной Атлантики в конце лета и условия зимнего термического режима в Республике Татарстан

Тепловой режим Северной Атлантики в конце лета и условия зимнего термического режима в Республике Татарстан

Abstract

Closeness and direction of asynchronous connections between the thermal regime of the North Atlantic in the end of summer (August) and the conditions of the thermal regime in the following January in the Republic of Tatarstan are investigated with the use of the long-term data archive (1966-2009) of the average January air temperatures in the Republic of Tatarstan and the reanalysis data on average monthly sea surface temperature anomalies (SSTA) in the North Atlantic. We analyze the physical basis of the mechanism underlying these relationships, the connecting role of the atmospheric circulation and the results of testing the possibilities of using the informative field properties of SSTA in August for the long-term forecasting conditions of January thermal regime in the Republic of Tatarstan. It is shown that the overall accuracy of forecasts of the thermal regime in the Republic of Tatarstan by the method of linear discriminant analysis was 73 %, and by the method of nonparametric discriminant analysis 80 %.

С использованием многолетнего (1966-2009 гг.) архива данных о средних январских температурах воздуха на территории Республики Татарстан (РТ) и данных реанализа средних месячных аномалий температуры поверхности океана (АТПО) Северной Атлантики исследуются теснота и направленность асинхронных связей между термическим режимом Северной Атлантики в конце лета (август) и условиями термического режима в последующем январе в РТ. Анализируются физические основы механизма, лежащего в основе указанных связей, связующая роль атмосферной циркуляции и результаты тестирования возможностей использования информативных свойств полей АТПО в августе для долгосрочного прогнозирования условий январского термического режима в РТ. Показано, что общая оправдываемость прогнозов термического режима в РТ методом линейного дискриминантного анализа составила 73 %, методом непараметрического дискриминантного анализа 80 %.

Keywords

ТЕРМИЧЕСКИЙ РЕЖИМ, ДОЛГОСРОЧНЫЕ МЕТЕОРОЛОГИЧЕСКИЕ ПРОГНОЗЫ, АНОМАЛИИ ТЕМПЕРАТУРЫ ПОВЕРХНОСТИ ОКЕАНА, ИНФОРМАТИВНЫЕ ОЧАГИ

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average