SMOS SMAP High Resolution SSS maps in regions of high variability, generated by CATDS CEC

Users of satellite Sea Surface Salinity products stress the importance of temporal and spatial resolution for the study of processes especially in river plumes.

The  Ocean Salinity Center of Expertise for CATDS (CATDS CEC-OS) has derived a new methodology aiming at keeping high temporal SMOS and SMAP SSS variability in highly variable regions while filtering outliers in low variability regions.

As for the global 18-day CATDS CEC products, the high resolution (HR) products are built using a temporal interpolation, grid node per grid node. This interpolation is done simultaneously with the estimation of the across-track SSS biases [Boutin et al., 2018]. The main change with respect to the global CEC CATDS products comes from the different kernel used for the temporal smoothing.

The use of an exponential kernel for the temporal smoothing allows:

  • an improvement of the spatial contrasts either on the SMOS period alone or on the SMOS + SMAP period on almost all considered regional areas.
  • a better restitution of the temporal dynamics for the low SSS at the mouths of the river plumes

There is a substantial gain in the correlation indicators with the In Situ data in the SMOS+SMAP period with an exponential core.

Overall, there is no noise degradation with the HR products.

Moreover, there is a suppression of certain orbit "lineages" with the use of an exponential kernel.

This version 0 of the products are delivered in 8 regions.

Feedbacks from users about the quality of these new experimental products are very welcome and essential for the CATDS expertise center to improve future versions.

A detailed description is described on https://data.catds.fr/cecos-locean/Ocean_products/HIGH_RESOLUTION_8_REGIONS/documentation/Doc_High_Resolution_8_Regions.pdf.

Disciplines

Physical oceanography, Chemical oceanography, Environment

Keywords

SMOS, SMAP, Salinity, River plumes, Satellite, Remote Sensing

Location

-10N, -30S, -30E, -54W

20N, 5S, -10E, -30W

25N, 5S, 100E, 78W

-30N, -50S, -40E, -70W

25N, -5S, -30E, -65W

7N, -20S, 15E, -15W

31N, 18S, -80E, -100W

-15N, -45S, 30E, -50W

Data

FileSizeFormatProcessingAccess
Amazon
441 MoNetCDFQuality controlled data
South Atlantic
825 MoNetCDFQuality controlled data
Bengal
188 MoNetCDFQuality controlled data
Brazil
168 MoNetCDFQuality controlled data
Guinea
373 MoNetCDFQuality controlled data
Falklands
200 MoNetCDFQuality controlled data
Mexico
133 MoNetCDFQuality controlled data
Senegal
163 MoNetCDFQuality controlled data
How to cite
Boutin Jacqueline, Vergely Jean-Luc, Olivier Léa, Reverdin Gilles, Perrot Xavier, Thouvenin-Masson Clovis (2022). SMOS SMAP High Resolution SSS maps in regions of high variability, generated by CATDS CEC. SEANOE. https://doi.org/10.17882/90082
In addition to properly cite this dataset, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication :
Olivier et al. (2022). Late summer northwestward Amazon plume pathway under the action of the North Brazil Current rings. to be submitted to JGR-Oceans, 2022..

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