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| Reverdin, Gilles; Morisset, S.; Boutin, Jacqueline; Martin, Nicolas; Sena-martins, M.; Gaillard, Fabienne; Blouch, P.; Rolland, J.; Font, J.; Salvador, J.; Fernandez, Pili; Stammer, D.. |
| Salinity measurements from 119 surface drifters in 2007-12 were assessed; 80% [Surface Velocity Program with a barometer with a salinity sensor (SVP-BS)] and 75% [SVP with salinity (SVP-S)] of the salinity data were found to be usable, after editing out some spikes. Sudden salinity jumps are found in drifter salinity records that are not always associated with temperature jumps, in particular in the wet tropics. A method is proposed to decide whether and how to correct those jumps, and the uncertainty in the correction applied. Northeast of South America, in a region influenced by the Amazon plume and fresh coastal water, drifter salinity is very variable, but a comparison with data from the Soil Moisture and Ocean Salinity satellite suggests that this... |
| Tipo: Text |
Palavras-chave: Surface observations; Surface layer; Data quality control; Buoy observations. |
| Ano: 2014 |
URL: http://archimer.ifremer.fr/doc/00190/30095/28748.pdf |
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| Gourrion, Jerome; Szekely, Tanguy; Killick, Rachel; Owens, Breck; Reverdin, Gilles; Chapron, Bertrand. |
| Realistic ocean state prediction and its validation rely on the availability of high quality in situ observations. To detect data errors, adequate quality check procedures must be designed. This paper presents procedures that take advantage of the ever-growing observation databases that provide climatological knowledge of the ocean variability in the neighborhood of an observation location. Local validity intervals are used to estimate binarily whether the observed values are considered as good or erroneous. Whereas a classical approach estimates validity bounds from first- and second-order moments of the climatological parameter distribution, that is, mean and variance, this work proposes to infer them directly from minimum and maximum observed values.... |
| Tipo: Text |
Palavras-chave: Ocean; Climatology; Salinity; Temperature; Data quality control; Oceanic variability. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00628/74031/73359.pdf |
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