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.
|Translated title of the contribution||Experiment in regression-based precalculation of sea level in the Japan Sea and in the Okhotsk Sea use hydrophysical and hydrometeorological predictors|
|Number of pages||10|
|Journal||Vestnik Sankt-Peterburgskogo Universiteta, Seriya Geologiya i Geografiya|
|Publication status||Published - 2011|
Scopus subject areas
- Earth and Planetary Sciences(all)