CATDS-PDC L3OS 3Q mixed - Debiased average 10 days & monthly salinity field product from SMOS satellite (mixed orbits)

Date(s) (Publication)
Author(s):
Principal investigator(s): Jacqueline Boutin, Jean-Luc Vergely
Affiliation(s) 1 : LOCEAN
2 : ACRI
Publisher(s): CATDS (CNES, IFREMER, LOCEAN, ACRI)
Credit CATDS (CNES, IFREMER, LOCEAN, ACRI)
DOI 10.12770/0f02fc28-cb86-4c44-89f3-ee7df6177e7b
Abstract This product contains average 10 days & monthly salinity field corrected from land-sea contamination and latitudinal bias, based on L2Q products, mixing ascending and descending orbits.
Keywords Orthoimagery, SMOS, CATDS, CPDC, L3OS, Ocean Salinity, 3Q, Ocean Product, CDS-SAT-Brest, Remote sensing, /Physical Oceanography/Salinity
Lineage The base products, for all the CATDS-PDC (Centre Aval de Traitement des Données SMOS - Production & Dissemination Center) processing chains, are the SMOS L1B products from ESA (European Space Agency).
From these, brightness temperatures at various incidence angles are reconstructed. The Sea Surface Salinity (SSS) are retrieved from multi-angular brightness temperatures through a maximum likehood Bayesian approach in which measured Tb and Tb simulated using a forward direct model are compared
Utilisation Formal permission induced by existence of a license.

Formal permission induced by existence of a license.

Creative Commons license to apply : Attribution (BY) : http://creativecommons.org/licenses/?lang=en
Data

How to cite

CATDS (2019). CATDS-PDC L3OS 3Q mixed - Debiased average 10 days & monthly salinity field product from SMOS satellite (mixed orbits). CATDS (CNES, IFREMER, LOCEAN, ACRI). https://doi.org/10.12770/0f02fc28-cb86-4c44-89f3-ee7df6177e7b

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:

Boutin J., Vergely J.L., Marchand S., D'Amico F., Hasson A., Kolodziejczyk Nicolas, Reul Nicolas, Reverdin G., Vialard J. (2018). New SMOS Sea Surface Salinity with reduced systematic errors and improved variability. Remote Sensing of Environment, 214, 115-134. Publisher's official version : http://doi.org/10.1016/j.rse.2018.05.022 , Open Access version : http://archimer.ifremer.fr/doc/00441/55254/