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Data quality improvements for satellite sea surface salinity data

AutorAretxabaleta, Alfredo L. ; Gourrion, Jérôme ; Guimbard, Sébastien ; Sabia, Roberto ; Gabarró, Carolina ; González, Verónica ; Martínez, Justino ; Font, Jordi
Fecha de publicación20-feb-2012
Citación2012 Ocean Sciences Meeting. Abstract book: 15 (2012)
ResumenThe recently available SMOS sea surface salinity (SSS) exhibits areas of increased measurement error (associated with land contamination, RFI, auxiliary wind product deficiencies, external noise or instrument inaccuracies). In this study, we present some of the strategies developed at the SMOS-BEC to improve SSS data quality. Ocean Target Transformation (OTT) is used in the operational Level 2 processor. Three conflicting factors impact its efficiency: 1) the number of observations used to compute the OTT (more data increase robustness); 2) the apparent instrument (temporal) drift (requiring periodic OTT updates); and 3) the effect of latitudinal variation (suggesting the need for spatial OTT filtering). We propose several palliative procedures for OTT deficiency mitigation. Additionally, we present an updated sea surface roughness formulation based on retrieved SMOS data. The dependencies with incidence angle and several roughness-related parameters (wind speed, mean square slope, significant wave height, wave age, wind stress) are considered in the improved approach. We also introduce a method for optimal multi-regime estimation of missing data (zones of too large error). First, by combining data from moored stations (TAO/TRITON) with model results (ECCO-JPL) treated as synthetic data, we achieve improved quality predictions. Then, the method is used to fill areas that have been flagged as having too large errors while preserving the non-Gaussian character of the SSS data
Descripción2012 Ocean Sciences Meeting, 20-24 February 2012, Salt Lake City, Utah, USA
Versión del editorhttp://www.sgmeet.com/osm2012/
Aparece en las colecciones: (ICM) Comunicaciones congresos
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