Ocean reanalyses are reconstructions of the recent state of the ocean, using all available observational datasets together with models. They are necessary tools for understanding ocean and climate dynamics and studying the evolution of recent ocean and climate change. They are also used to derive climatologies and anomalies for applied studies, initialisation of forecasts, and training for deep learning applications.

This session aims at deepening our understanding of the way reanalyses are used by the scientific community, by providing a forum for ocean reanalysis producers and users. The session will focus, among others, on the following applications:

- Reanalyses intercomparison studies to understand the strengths and limitations of these data
- Impact of long-term observations on reanalyses quality as well as potential uncertainties stemming from the lack of such observations.
- Representation, analysis and dynamical interpretation of specific events such as extremes.
- Synergies with deep learning applications for ocean reanalyses

The outcome of the session will provide useful insights to ocean reanalysis producers for further developments to meet the community’s needs for their applications.