# Super-Resolving Ocean Dynamics from Space with Computer Vision Algorithms
## 4 Discussion
It would thus be interesting to train (or even only to test) our model in other areas where intense mesoscale activity is observed (e.g., western boundary currents, Antarctic Circumpolar Current, etc. ), eventually starting from different numerical simulations. Additionally, we plan to further improve the network architecture by implementing and testing the latest modules and ideas emerging from computer vision research (e.g., convolutional block attention module (CBAM)), [63]. Major advances might then come from the design of network architectures that admit the explicit use of sequences of ADT and SST data as predictors, which could then allow users to define physically informed loss functions (e.g., by enforcing some approximate potential vorticity/tracer conservation) to jointly improve the reconstruction of both current and tracer evolution over time. Conceptualization, B.B.N. ; methodology, B.B.N., D.C. ([PERSON]), D.C. ([PERSON]) and E.C. ; investigation, B.B.N. and D.C. ([PERSON]); visualization, B.B.N. and D.C. ([PERSON]); supervision, B.B.N. ; writing--original draft, B.B.N. and D.C. ([PERSON]); writing--review and editing, B.B.N. and D.C. ([PERSON]), D.C. ([PERSON]) and E.C. All authors have read and agreed to the published version of the manuscript. This work has been partly supported by the Copernicus Marine Environment Monitoring Service Multi Observations Thematic Assembly Center (CMEMS MOB TAC), funded through subcontracting agreement no. CLS-SCO-18-0004 between Consiglio Nazionale delle Ricerche and Collecte Localisation Satellites (CLS), the latter of which is presently leading the CMEMS MOB TAC. The 83-CMEMS-TAC-MOB contract was funded by Mercator Ocean as part of its delegation agreement with the European Union, represented by the European Commission, to set up and manage CMEMS. The data used for the observation system simulation experiment have been provided by the ocean CIRculation from ocean COlour observations (CIRCOL) project, funded by the European Space Agency via the contract grant no. 4000128147/19/I-DT. **Institutional Review Board Statement:** Not applicable. **Informed Consent Statement:** Not applicable. **Data Availability Statement:** The dADR-SR code is available at: [[https://github.com/bbuong/dADR-SR](https://github.com/bbuong/dADR-SR)]([https://github.com/bbuong/dADR-SR](https://github.com/bbuong/dADR-SR)) (last accessed 14 January 2022) and training/test datasets are available at: [[https://doi.org/10.5281/zenodo.5815330](https://doi.org/10.5281/zenodo.5815330)]([https://doi.org/10.5281/zenodo.5815330](https://doi.org/10.5281/zenodo.5815330)) (last accessed 14 January 2022). The AMEDA code and description are freely accessible through [[https://github.com/briaclevu/AMEDA](https://github.com/briaclevu/AMEDA)]([https://github.com/briaclevu/AMEDA](https://github.com/briaclevu/AMEDA)) (last accessed 14 January 2022). **Acknowledgments:** We thank [PERSON] for providing support on the numerical simulation data used for the setup of the observing system simulation experiment and [PERSON] for providing support on the drifter database. We also wish to thank [PERSON] for critical reading of the paper and useful suggestions on the presentation of the results. We acknowledge the use of imagery from the NASA Worldview application ([[https://worldview.earthdata.nasa.gov](https://worldview.earthdata.nasa.gov)]([https://worldview.earthdata.nasa.gov](https://worldview.earthdata.nasa.gov)), last accessed 14 January 2022), part of the NASA Earth Observing System Data and Information System (EOSDIS). **Conflicts of Interest:** The authors declare no conflict of interest.