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РЕГРЕССИОННАЯ ЗАВИСИМОСТЬ КОЛЕБАНИЯ УРОВНЯ ЯПОНСКОГО И ОХОТСКОГО МОРЕЙ ОТ АТМОСФЕРНОЙ И ОКЕАНИЧЕСКОЙ ЦИРКУЛЯЦИИ. / Старицын, Д.К.

In: ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. СЕРИЯ 7: ГЕОЛОГИЯ, ГЕОГРАФИЯ, No. 1, 2007, p. 117-123.

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Старицын ДК. РЕГРЕССИОННАЯ ЗАВИСИМОСТЬ КОЛЕБАНИЯ УРОВНЯ ЯПОНСКОГО И ОХОТСКОГО МОРЕЙ ОТ АТМОСФЕРНОЙ И ОКЕАНИЧЕСКОЙ ЦИРКУЛЯЦИИ. ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. СЕРИЯ 7: ГЕОЛОГИЯ, ГЕОГРАФИЯ. 2007;(1):117-123.

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Старицын, Д.К. / РЕГРЕССИОННАЯ ЗАВИСИМОСТЬ КОЛЕБАНИЯ УРОВНЯ ЯПОНСКОГО И ОХОТСКОГО МОРЕЙ ОТ АТМОСФЕРНОЙ И ОКЕАНИЧЕСКОЙ ЦИРКУЛЯЦИИ. In: ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. СЕРИЯ 7: ГЕОЛОГИЯ, ГЕОГРАФИЯ. 2007 ; No. 1. pp. 117-123.

BibTeX

@article{5b68154bf7de43e1b1f8e6f61bdff620,
title = "РЕГРЕССИОННАЯ ЗАВИСИМОСТЬ КОЛЕБАНИЯ УРОВНЯ ЯПОНСКОГО И ОХОТСКОГО МОРЕЙ ОТ АТМОСФЕРНОЙ И ОКЕАНИЧЕСКОЙ ЦИРКУЛЯЦИИ",
abstract = "Based on the data of altimeter measurements of the Japan and Okhotsk sea surface heights, correlation dependencies are estimated between the sea surface height variations and the variability of geophysical and hydro-physical processes. With the help of cross-correlation analysis, the range of out-timing is determined among the best correlated predictors, and the actual term of sea surface height forecast is assessed. A linear multiple regression model is obtained with R2 = 0,72 and calculation error probability that is lower than the significance value for all of the regression equation coefficients.",
author = "Д.К Старицын",
year = "2007",
language = "русский",
pages = "117--123",
journal = "Вестник Санкт-Петербургского университета. Науки о Земле",
issn = "2541-9668",
publisher = "Издательство Санкт-Петербургского университета",
number = "1",

}

RIS

TY - JOUR

T1 - РЕГРЕССИОННАЯ ЗАВИСИМОСТЬ КОЛЕБАНИЯ УРОВНЯ ЯПОНСКОГО И ОХОТСКОГО МОРЕЙ ОТ АТМОСФЕРНОЙ И ОКЕАНИЧЕСКОЙ ЦИРКУЛЯЦИИ

AU - Старицын, Д.К

PY - 2007

Y1 - 2007

N2 - Based on the data of altimeter measurements of the Japan and Okhotsk sea surface heights, correlation dependencies are estimated between the sea surface height variations and the variability of geophysical and hydro-physical processes. With the help of cross-correlation analysis, the range of out-timing is determined among the best correlated predictors, and the actual term of sea surface height forecast is assessed. A linear multiple regression model is obtained with R2 = 0,72 and calculation error probability that is lower than the significance value for all of the regression equation coefficients.

AB - Based on the data of altimeter measurements of the Japan and Okhotsk sea surface heights, correlation dependencies are estimated between the sea surface height variations and the variability of geophysical and hydro-physical processes. With the help of cross-correlation analysis, the range of out-timing is determined among the best correlated predictors, and the actual term of sea surface height forecast is assessed. A linear multiple regression model is obtained with R2 = 0,72 and calculation error probability that is lower than the significance value for all of the regression equation coefficients.

M3 - статья

SP - 117

EP - 123

JO - Вестник Санкт-Петербургского университета. Науки о Земле

JF - Вестник Санкт-Петербургского университета. Науки о Земле

SN - 2541-9668

IS - 1

ER -

ID: 5026935