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Prof. Eric Chassignet

Florida State University, USA

About the speaker:

Dr. Eric Chassignet is the Distinguished Professor of Oceanography at Florida State University. He is the Director of Center for Ocean-Atmospheric Prediction Studies (COAPS) which promotes interdisciplinary research in ocean-atmosphere-land-ice interactions. For the past 20 years, he has also been the coordinator of a broad partnership of institutions (academic, government, and industry) to develop and demonstrate the performance and application of high-resolution, real-time global and basin-scale ocean prediction systems. He is Co-chair of OceanPredict, an international science forum supporting the development and advance of global and regional ocean analysis and forecasting systems. As Co-director of Florida Climate Institute (FCI), he is involved in research and other activities designed to help achieve a better understanding of climate variability and change. He is the lead investigator and director of the multi-institutional Consortium for Simulation of Oil-Microbial Interactions in the Ocean (CSOMIO) as well as a fellow of two NOAA cooperative institutes.

Prof. Chassignet’s webpage: https://www.coaps.fsu.edu/eric-chassignet

About keynote speech:
Nature Runs for Digital Twins of the Ocean
Abstract:

A digital twin of the ocean is digital representation of the ocean that help to answer 'what if' questions and, at its heart, resides a numerical ocean model. The more sophisticated and realistic is the ocean model, the broader the set of questions one can answer. We argue that the next thresholdfor a significant improvement in western boundary currents is in resolving the submesoscale, but it is not the only gain when using kilometric-resolution models; there is also the benefit of a better representation of the topography. This talk will summarize the latest developments in high resolution (horizontal and vertical) ocean modeling and highlight the importance of accurately representing the ocean bathymetry for an ocean model to be closer to "nature".

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