11 citations as recorded by crossref.

1. Three Types of Antarctic Intermediate Water Revealed by a Machine Learning Approach X. Xia et al. https://doi.org/10.1029/2022GL099445
2. Observing the Ice‐Covered Weddell Gyre With Profiling Floats: Position Uncertainties and Correlation Statistics P. Chamberlain et al. https://doi.org/10.1029/2017JC012990
3. Observed features of salinity bias with negative pressure dependency for measurements by SBE 41CP and SBE 61 CTD sensors on deep profiling floats T. Kobayashi et al. https://doi.org/10.1016/j.pocean.2021.102686
4. Temporal and Spatial Scales of Correlation in Marine Phytoplankton Communities A. Kuhn et al. https://doi.org/10.1029/2019JC015331
5. Locally stationary spatio-temporal interpolation of Argo profiling float data M. Kuusela & M. Stein https://doi.org/10.1098/rspa.2018.0400
6. Variability of SST and ILD in the Arabian Sea and Sea of Oman in Association with the Monsoon Cycle S. Khan et al. https://doi.org/10.1155/2021/9958257
7. Guidance on integrating marine environmental impacts of ocean alkalinity enhancement into life cycle assessment M. Delval et al. https://doi.org/10.1007/s11367-026-02707-z
8. On the mesoscale monitoring capability of Argo floats in the Mediterranean Sea A. Sánchez-Román et al. https://doi.org/10.5194/os-13-223-2017
9. Unsupervised Clustering of Argo Temperature and Salinity Profiles in the Mid‐Latitude Northwest Pacific Ocean and Revealed Influence of the Kuroshio Extension Variability on the Vertical Structure Distribution F. Sambe & T. Suga https://doi.org/10.1029/2021JC018138
10. Coherent heat patterns revealed by unsupervised classification of Argo temperature profiles in the North Atlantic Ocean G. Maze et al. https://doi.org/10.1016/j.pocean.2016.12.008
11. Unsupervised Clustering of Southern Ocean Argo Float Temperature Profiles D. Jones et al. https://doi.org/10.1029/2018JC014629