Machine Learning for Ocean Prediction: Methods, Applications & Challenges
Recent developments in artificial intelligence (AI) capabilities (including neural network approaches, machine learning and deep learning related tools) have demonstrated the ability to provide accurate forecasts in weather and environmental forecasting. The OceanPredict Artificial Intelligence Task Team (AI-TT) aims to create a forum to discuss recent developments in the application of AI to ocean prediction, to share best practices, and to explore areas for future development.
This 2-day meeting will provide an overview of ongoing and planned activities in machine learning ocean prediction across the global community. Topics span the full breadth of ocean prediction applications, and include downscaling, forecast emulation, hybrid modelling, data assimilation and ensembles, and challenges in evaluating machine learning emulators compared to numerical models.
The workshop will include keynote speakers (details to follow shortly), oral presentations, posters and breakout discussions.
