An empirical stochastic model of sea-surface temperatures and surface winds over the Southern Ocean

This study employs NASA's recent satellite measurements of sea-surface temperatures (SSTs) and sea-level winds (SLWs) with missing data filled-in by Singular Spectrum Analysis (SSA), to construct empirical models that capture both intrinsic and SST-dependent aspects of SLW variability. The mode...

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Bibliographic Details
Published in:Ocean Science
Main Authors: S. Kravtsov, D. Kondrashov, I. Kamenkovich, M. Ghil
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2011
Subjects:
Geography. Anthropology. Recreation
G
Environmental sciences
GE1-350
Southern Ocean
Online Access:https://doi.org/10.5194/os-7-755-2011
https://doaj.org/article/8ff7ecc48aaf4ea595cd585223774627
Description
Summary:This study employs NASA's recent satellite measurements of sea-surface temperatures (SSTs) and sea-level winds (SLWs) with missing data filled-in by Singular Spectrum Analysis (SSA), to construct empirical models that capture both intrinsic and SST-dependent aspects of SLW variability. The model construction methodology uses a number of algorithmic innovations that are essential in providing stable estimates of the model's propagator. The best model tested herein is able to faithfully represent the time scales and spatial patterns of anomalies associated with a number of distinct processes. These processes range from the daily synoptic variability to interannual signals presumably associated with oceanic or coupled dynamics. Comparing the simulations of an SLW model forced by the observed SST anomalies with the simulations of an SLW-only model provides preliminary evidence for the ocean driving the atmosphere in the Southern Ocean region.

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