Articles | Volume 14, issue 5
https://doi.org/10.5194/essd-14-2343-2022
https://doi.org/10.5194/essd-14-2343-2022
Data description paper
 | 
13 May 2022
Data description paper |  | 13 May 2022

First SMOS Sea Surface Salinity dedicated products over the Baltic Sea

Verónica González-Gambau, Estrella Olmedo, Antonio Turiel, Cristina González-Haro, Aina García-Espriu, Justino Martínez, Pekka Alenius, Laura Tuomi, Rafael Catany, Manuel Arias, Carolina Gabarró, Nina Hoareau, Marta Umbert, Roberto Sabia, and Diego Fernández

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Cited articles

Axell, L.: Product User Manual of Baltic Sea Physical Reanalysis Product BALTICSEA_REANALYSIS_PHY_003_011, issue 2.0, Tech. Rep., Copernicus Marine Environment Monitoring Service, https://catalogue.marine.copernicus.eu/documents/PUM/CMEMS-BAL-PUM-003-011.pdf (last access: 30 October 2019​​​​​​​), 2019. a, b, c, d
BEC team: BEC Products Description, BEC-PD-SSS-Baltic-L3-L4.pdf, version1.0, July 2021, http://bec.icm.csic.es/doc/BEC_PD_SSS_Baltic_L3_L4.pdf (last access: 10 April 2022), 2021a. a
BEC team: Baltic+ L4 seasonal SSS product, Helcom catalogue [data set] https://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/9d979033-1136-4dd1-a09b-7ee9e512ad14 (last access: 10 April 2022), 2021b. a
Boutin, J., Vergely, J. L., Marchand, S., D'Amico, F., Hasson, A., Kolodziejczyk, N., Reul, N., Reverdin, G., and Vialard, J.: New SMOS Sea Surface Salinity with reduced systematic errors and improved variability, Remote Sens. Environ., 214, 115–134, https://doi.org/10.1016/j.rse.2018.05.022, 2018. a
Boutin, J., Vergely, J.-L., and Koehler, J.and Rouffi, F. R. N.: ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_CCI): Version 1.8 data collection, CEDA Archive [data set], https://doi.org/10.5285/9ef0ebf847564c2eabe62cac4899ec41, 2019. a
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Short summary
We present the first Soil Moisture and Ocean Salinity Sea Surface Salinity (SSS) dedicated products over the Baltic Sea (ESA Baltic+ Salinity Dynamics). The Baltic+ L3 product covers 9 days in a 0.25° grid. The Baltic+ L4 is derived by merging L3 SSS with sea surface temperature information, giving a daily product in a 0.05° grid. The accuracy of L3 is 0.7–0.8 and 0.4 psu for the L4. Baltic+ products have shown to be useful, covering spatiotemporal data gaps and for validating numerical models.
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