Lag-WALS approach incorporating ENSO-related quantities for altimetric interannual SLA forecasts in the South China Sea

A novel approach using lag weighted-average least squares (Lag-WALS) is proposed to forecast the interannual sea level anomaly (SLA) in the South China Sea (SCS) using lagged equatorial Pacific El Niño–Southern Oscillation (ENSO)-related quantities. Through empirical orthogonal function (EOF) and wa...

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Bibliographic Details

Published in:	Frontiers in Marine Science
Main Authors:	Pengfei Yang, Hok Sum Fok
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-11-01
Subjects:	sea level anomaly lag-WALS model South China Sea ENSO-related quantities autocorrelation
Online Access:	https://www.frontiersin.org/articles/10.3389/fmars.2024.1467164/full