12 citations as recorded by crossref.

1. Near real time processing of underway salinity data from ships of opportunity G. Alory et al. https://doi.org/10.1080/1755876X.2025.2541460
2. Improving ocean analyses in the ensemble-based data assimilation system using the Community Earth System Model by assimilating satellite sea surface salinity Q. Wang et al. https://doi.org/10.1080/1755876X.2024.2418687
3. The Bright Decade of Ocean Salinity from Space R. Sabia et al. https://doi.org/10.3390/rs17132261
4. Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks Y. Fujii et al. https://doi.org/10.3389/fmars.2019.00417
5. Observing system experiments over the Atlantic Ocean with the REMO ocean data assimilation system (RODAS) into HYCOM C. Tanajura et al. https://doi.org/10.1007/s10236-019-01309-8
6. Rapid reconstruction of temperature and salinity fields based on machine learning and the assimilation application Z. Chen et al. https://doi.org/10.3389/fmars.2022.985048
7. Sea surface salinity estimates from spaceborne L-band radiometers: An overview of the first decade of observation (2010–2019) N. Reul et al. https://doi.org/10.1016/j.rse.2020.111769
8. High frequency radar error classification and prediction based on K-means methods Z. Wang et al. https://doi.org/10.3389/fmars.2024.1448427
9. Satellite‐Based Sea Surface Salinity Designed for Ocean and Climate Studies J. Boutin et al. https://doi.org/10.1029/2021JC017676
10. Assimilation of sea surface salinities from SMOS in an Arctic coupled ocean and sea ice reanalysis J. Xie et al. https://doi.org/10.5194/os-19-269-2023
11. Assessing the Impact of the Assimilation of SWOT Observations in a Global High-Resolution Analysis and Forecasting System Part 1: Methods M. Benkiran et al. https://doi.org/10.3389/fmars.2021.691955
12. Observation impact statement on satellite sea surface salinity data from two operational global ocean forecasting systems M. Martin et al. https://doi.org/10.1080/1755876X.2020.1771815