Numerical Models, Observing Systems, and Data Assimilation for Prediction of Mesoscale Eddies in the Ocean

– Zhijin Li, Department of Atmospheric and Ocean Sciences, Fudan University, Shanghai, China –

Résumé :

Mesoscale eddies, with horizontal scales of ~100 km and lifetimes of weeks, dominate the variability of the global ocean. Their prediction—ocean “weather” on timescales of days to a month—has been enabled by advances in eddy-resolving models, global observing systems, and data assimilation. A synergistic combination of observations from the Argo float network and the constellation of satellite altimeters is essential for accurately constraining the mesoscale ocean state through data assimilation, thereby enabling skillful eddy forecasting. Yet, multiscale and strong depth-dependent variability poses challenges for data assimilation. Multiscale data assimilation methods have therefore been developed to address these challenges, and we outline methods and strategies for their implementation.

Lien Zoom :

https://ird-fr.zoom.us/j/7289551121?pwd=a09uWXpMY2RnK05Ba1plZ2NacUlUZz09