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von Schuckmann, K., et al. Copernicus Marine Service Ocean State Report, issue 4. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology 13, (2020).
Brajard, J., Bocquet, M., Carrassi, A. & Bertino, L. Connections between data assimilation and machine learning to emulate a numerical model. Proceedings of the 9th International Workshop on Climate informatics: CI 2019 (2019).doi:10.5065/y82j-f154
Brajard, J., Carrassi, A., Bocquet, M. & Bertino, L. Combining data assimilation and machine learning to infer unresolved scale parametrization. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences (2021).doi:10.1098/rsta.2020.0086 Abstract
Bertino, L. Challenges and capabilities of data assimilation. Nansen-Tutu Centre Scientific Opening Symposium (2011).
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Carrieres, T., et al. Automated Sea Ice Prediction Systems. Sea Ice Analysis and Forecasting - Towards an Increased Reliance on Automated Prediction Systems (2017).doi:10.1017/9781108417426
Milutinovic, S. & Bertino, L. Assessment and Propagation of Uncertainties in Input Terms through the Vertically Generalized Productivity Model. COCOS Workshop on Combining Water Column Data with Sediment Trap and Satellite Observations for Improved Marine Carbon Export Estimates (2010).