ESA Arctic+ Salinity Product V4: Reducing the Contamination Close to the Ice-Edge
2024
García Espriu, Aina | González Gambau, Verónica | Olmedo, Estrella | Gabarró, Carolina | Umbert, Marta | Sánchez Urrea, María | González-Haro, Cristina | Bertino, Laurent | Raj, Roshin P. | Catany, Rafael | Sabia, Roberto | European Space Agency | Ministerio de Ciencia e Innovación (España) | Agencia Estatal de Investigación (España) | Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
IEEE International Geoscience and Remote Sensing Symposium (IEEE IGARSS 2024), Acting for Sustainability and Resilience, 7-12 July 2024, Athens, Greece.-- 4 pages, 4 figures.-- © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Afficher plus [+] Moins [-]In the framework of the ESA regional initiative Arctic+ Salinity, a new Sea Surface Salinity (SSS) product (v4) has been developed from the Soil Moisture and Ocean Salinity (SMOS) measurements. The data processing starts from the SMOS Level 0 (L0) data and applies specific algorithms for reducing the contamination close to the ice edge at Level 1 (L1) (in the Brightness Temperature reconstruction) and at Level 2 (L2) (in the correction of biases in the salinity retrieval). In this work we explain these algorithms and present the new 13-year temporal series of SMOS SSS maps as well as the main results of the quality assessment
Afficher plus [+] Moins [-]The work has been funded by the ESA Arctic+ Salinity project (AO/1-9158/18/I-BG) and Arctic+ SSS CCN (4000125590/18/I-BG) and by MCIN/AEI/10.13039/501100-011033 through the project INTERACT (PID2020-114623RB-C31). This work represents a contribution to CSIC Thematic Interdisciplinary Platform PTI Teledetect, with the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S)
Afficher plus [+] Moins [-]Peer reviewed
Afficher plus [+] Moins [-]Mots clés AGROVOC
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