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- W2102582322 abstract "Abstract. 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." @default.
- W2102582322 created "2016-06-24" @default.
- W2102582322 creator A5045772011 @default.
- W2102582322 creator A5052337472 @default.
- W2102582322 creator A5069985817 @default.
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- W2102582322 date "2011-11-14" @default.
- W2102582322 modified "2023-10-02" @default.
- W2102582322 title "An empirical stochastic model of sea-surface temperatures and surface winds over the Southern Ocean" @default.
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- W2102582322 doi "https://doi.org/10.5194/os-7-755-2011" @default.
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