SMOS ARCTIC SSS L3 maps produced by CATDS CEC LOCEAN

Date 2020-09
Temporal extent 2010-06-01 -2019-11-26
Author(s) Supply AlexandreORCID1, Boutin JacquelineORCID1, Vergely Jean-Luc2, Kolodziejczyk NicolasORCID3, Reverdin GillesORCID1, Reul NicolasORCID3, Tarasenko Anastasiia3, 4
Affiliation(s) 1 : LOCEAN-IPSL, Sorbonne Université-CNRS-IRD-MNHN, Paris, France
2 : ACRI-St, Guyancourt, France
3 : Laboratoire d’Océanographie Physique et Spatiale (LOPS), Univ. Brest, CNRS, Ifremer, IRD, Brest, France
4 : Arctic and Antarctic Research Institute, Saint-Petersburg, Russia
DOI 10.17882/71909
Publisher SEANOE
Keyword(s) SMOS, Salinity, Arctic Ocean, Satellite, Remote Sensing
Abstract

LOCEAN, LOPS, AARI and ACRI-ST have derived improved SMOS SSS maps over the Arctic Ocean based on new SST corrections and new sea ice filtering applied to SSS retrieved from SMOS satellite measurements.

The first version of level 3 (L3) SMOS ARCTIC SSS (weekly and monthly) covers a period from June 2010 to November 2019 above 60°North. The dataset is derived using uncorrected SSS from ESA SMOS SSS v662 level 2 (L2, https://smos.argans.co.uk/docs/deliverables/delivered/ATBD/SO-TN-ARG-GS-0007_L2OS-ATBD_v3.13_160429.pdf). SSS values are reprojected in an Equal-Scalable Earth Grid 2 (EASE, https://nsidc.org/data/ease) with a Northern Hemisphere Azimuthal projection and a resolution of 25km.

REMSS Microwave+Infrared Sea Surface Temperature (SST) optimal interpolation product (http://www.remss.com/measurements/sea-surface-temperature/oisst-description/) is used in order to correct SST related biases.

7-day moving averages of SMOS ESA L2 parameters are produced each day for L3 SSS weekly product. An average considering each day of the month is computed for L3 SSS monthly product. Weekly and monthly uncertainties are estimated through an error propagation of SMOS ESA v662 L2 uncertainty estimates.

Feedbacks from users about the quality of these new products are very welcome, as they are experimental. 

 

Version of the product:

V1.0: debiasing and sea ice filtering using ACARD + SST effects correction using REMSS SST 

V1.1: generalization of bias correction using ACARD + sea ice filtering using ACARD + SST effects correction using REMSS SST (Methodology presented in "New insights into SMOS sea surface salinity retrievals in the Arctic Ocean »; Supply et al, 2020 ; https://doi.org/10.1016/j.rse.2020.112027)

 

Licence CC-BY-NC-ND
Acknowledgments SMOS ARCTIC SSS L3 V1.0 maps have been produced by LOCEAN/IPSL (UMR CNRS/SU/IRD/MNHN) laboratory. AS is supported by a SU Ph. D. grant. This work was supported by CNES-TOSCA “SMOS-Ocean” and ESA “Expert Support Laboratory for L2 Ocean Salinity“ projects. AT acknowledges financial support from the Ministry of Science and Higher Education of the Russian Federation, project RFMEFI61619X0108.
Sensor metadata

Soil Moisture and Ocean Salinity (SMOS) satellite mission.

Data
File Size Format Processing Access Key
480 MB NC, NetCDF Processed data Access on demand 70605
14 GB NC, NetCDF Processed data Access on demand 70606
User's guide 49 KB PDF Open access 70612
Monthly SMOS Arctic SSS v1.1 476 MB NC, NetCDF Processed data Open access 77286
Weekly SMOS Arctic SSS v1.1 14 GB NC, NetCDF Processed data Open access 77290
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How to cite 

Supply Alexandre, Boutin Jacqueline, Vergely Jean-Luc, Kolodziejczyk Nicolas, Reverdin Gilles, Reul Nicolas, Tarasenko Anastasiia (2020). SMOS ARCTIC SSS L3 maps produced by CATDS CEC LOCEAN. SEANOE. https://doi.org/10.17882/71909


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 :


Supply Alexandre, Boutin Jacqueline, Vergely Jean-Luc, Kolodziejczyk Nicolas, Reverdin Gilles, Reul Nicolas, Tarasenko Anastasiia (2020). New insights into SMOS sea surface salinity retrievals in the Arctic Ocean. Remote Sensing Of Environment, 249, 112027 (24p.). https://doi.org/10.1016/j.rse.2020.112027