2020
DOI: 10.1029/2020jc016428
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A New Approach for Estimating Salinity in the Southwest Atlantic and Its Application in a Data Assimilation Evaluation Experiment

Abstract: A new method for generating synthetic salinity (SS) profiles in the Southwest Atlantic was developed and applied in data assimilation experiments. This method was based on the smallest integrated values of root mean square deviation (RMSD)—with respect to observations—to infer salinity through climatological data and by regressive methods on temperature (T) using a five‐order polynomial function (P5). In the 14 delimited subregions, the averaged RMSD of P5 was 45% smaller than interpolated climatological data.… Show more

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Cited by 4 publications
(8 citation statements)
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“…In the case of a hypothetical ideal CTD profiling at τ 2 = τ T , procedure (10) leads to the complete elimination of dynamic errors T(t) = T 2 (t). However, in real conditions, this is not the case for the following reasons.…”
Section: Minimization Of Dynamic Errorsmentioning
confidence: 99%
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“…In the case of a hypothetical ideal CTD profiling at τ 2 = τ T , procedure (10) leads to the complete elimination of dynamic errors T(t) = T 2 (t). However, in real conditions, this is not the case for the following reasons.…”
Section: Minimization Of Dynamic Errorsmentioning
confidence: 99%
“…To reduce the levels of dynamic errors in CTD data as much as possible, we will continue to use an alternative processing scheme everywhere. To do this, we replace the smoothing of the profile T 1 (t) by filter (9) with the "recovery" procedure (10), preserving its equalization (8) and smoothing of the profile E 1 (t) (9). In this case, we will select the optimal values of the "recovery" processing parameters τ 2 , displacement nδt, and smoothing τ 3 according to the criterion of minimum dispersion of high-frequency salinity fluctuations on scales of up to 2 s [27,36].…”
Section: Minimization Of Dynamic Errorsmentioning
confidence: 99%
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