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Опыт предвычисления среднегодового уровня Японского и Охотского морей по гидрофизическим и гидрометеорологическим предикторам. / Staritsyn, D. K.; Foux, V. R.; Lobanova, P. V.

In: ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. СЕРИЯ 7: ГЕОЛОГИЯ, ГЕОГРАФИЯ, Vol. 2011, No. 3, 2011, p. 73-82.

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@article{0fbd13029f65469da09e14b65ee670bf,
title = "Опыт предвычисления среднегодового уровня Японского и Охотского морей по гидрофизическим и гидрометеорологическим предикторам",
abstract = "The relation between the variability of the average annual level fluctuations in the Japan Sea and in the Okhotsk Sea and the indexes, reflecting the dynamics of hydrophysical processes, is examined by means of auto-and inter-correlation analyses; regression forecasting equations are developed as well. Sea level magnitudes are predicted for advance time 1 to 4 years. The sea level forecast model is the multiple linear regression.",
keywords = "Correlation and interrelation analysis, Linear multiple regression, The indexes of atmospheric and oceanic circulation",
author = "Staritsyn, {D. K.} and Foux, {V. R.} and Lobanova, {P. V.}",
year = "2011",
language = "русский",
volume = "2011",
pages = "73--82",
journal = "Вестник Санкт-Петербургского университета. Науки о Земле",
issn = "2541-9668",
publisher = "Издательство Санкт-Петербургского университета",
number = "3",

}

RIS

TY - JOUR

T1 - Опыт предвычисления среднегодового уровня Японского и Охотского морей по гидрофизическим и гидрометеорологическим предикторам

AU - Staritsyn, D. K.

AU - Foux, V. R.

AU - Lobanova, P. V.

PY - 2011

Y1 - 2011

N2 - The relation between the variability of the average annual level fluctuations in the Japan Sea and in the Okhotsk Sea and the indexes, reflecting the dynamics of hydrophysical processes, is examined by means of auto-and inter-correlation analyses; regression forecasting equations are developed as well. Sea level magnitudes are predicted for advance time 1 to 4 years. The sea level forecast model is the multiple linear regression.

AB - The relation between the variability of the average annual level fluctuations in the Japan Sea and in the Okhotsk Sea and the indexes, reflecting the dynamics of hydrophysical processes, is examined by means of auto-and inter-correlation analyses; regression forecasting equations are developed as well. Sea level magnitudes are predicted for advance time 1 to 4 years. The sea level forecast model is the multiple linear regression.

KW - Correlation and interrelation analysis

KW - Linear multiple regression

KW - The indexes of atmospheric and oceanic circulation

UR - http://www.scopus.com/inward/record.url?scp=83155167599&partnerID=8YFLogxK

M3 - статья

VL - 2011

SP - 73

EP - 82

JO - Вестник Санкт-Петербургского университета. Науки о Земле

JF - Вестник Санкт-Петербургского университета. Науки о Земле

SN - 2541-9668

IS - 3

ER -

ID: 5026124