Artemis Ioannou (Laboratoire de Météorologie Dynamique, LMD-IPSL, Ecole Normale Supérieure, Paris, France, France); Sabrina Speich (Laboratoire de Météorologie Dynamique, LMD-IPSL, Ecole Normale Supérieure, Paris, France; Ecole Normale Supérieure ENS-PSL, Paris, France)

Following the first description of the concept of mesoscale ocean eddy networks and its implementation in the TOEddies algorithm (Laxenaire et al., 2018), this tool, when applied to Absolute Dynamic Topography satellite observations has, in a particularly effective way, helped our team and partners to highlight complex behaviors of these ocean structures. TOEddies has been applied to near-real-time altimetric fields for operational support to target eddies (e.g., the Curent Ring of Northern Brazil during EURC4A-OA; Stephen et al., 2021) and to monitor their sampling by autonomous devices (e.g., Bio-Argo 6903095 launched into a cyclone during cruise SO282). When applied to delayed-time fields, the characteristics of the eddies, and thus their networks, have been used to highlight complex eddy behaviors as they propagate through the ocean (e.g., the Agulhas rings connecting the Mozambique Channel and the Zapiola gyre; Laxenaire et al., 2018). The full power of this formidable database was achieved when these data were collocated with automatic devices sampling the vertical column. For example, by colocating them with Argo float data and vertical sampling from science cruises, we have shown the subduction of the Agulhas rings (Laxenaire et al., 2019, 2020), the importance of eddies on the assessment of meridional transport during a Go-Ship transect (Manta et al, 2021), their direct impact on the overall distribution of mode waters in the South Atlantic (Chen et al., 2021), and the offshore transport achieved by eddies of eastern upwelling origin in the Atlantic (Ioannou et al., submitted). Furthermore, through their colocalization with the BGC-Argo database, different impacts of eddies on the role of deep chlorophyll maxima in global primary production have been suggested (Corned et al., 2021). These excellent results, which proved the great value of this database, highlighted the need to share it with the wider community. We are therefore implementing a database, both in delayed and near-real time, of eddies detected by TOEddies collocated with (BGC-)Argo floats associated with a toolkit to use them (both in Matlab and Python). In this poster, we demonstrate the capabilities of these datasets by selecting results we have obtained thanks to them over the past four years.