Biblio

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Carrassi, A. & Vannitsem, S. Accounting for Model Error in Data Assimilation. Oberwolfach Reports. Mathematical and Algorithmic Aspects of Atmosphere-Ocean Data Assimilation 9, 3417 - 3471 (2012).
Bertino, L., Ali, A., Carrasco, A., Lien, V.S. & Melsom, A. The Arctic marine forecasting center in the first Copernicus period. Proceedings of the 9th EuroGoos International Conference "Advances in Operational Oceanography": Expanding Europe's Observing and Forecasting Capacity (2021).doi:10.13155/83160
Carrieres, T., mfl. Automated Sea Ice Prediction Systems. Sea Ice Analysis and Forecasting - Towards an Increased Reliance on Automated Prediction Systems (2017).doi:10.1017/9781108417426
Yang, S., Gao, Y., Koenigk, T., Keenlyside, N. & Counillon, F. The Climate Model: An ARCPATH Tool to Understand and Predict Climate Change. Nordic Perspectives on the Responsible Development of the Arctic: Pathways to Action (2020).doi:10.1007/978-3-030-52324-4_8
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
Carrassi, A. & Vannitsem, S. Deterministic Treatment of Model Error in Geophysical Data Assimilation. Mathematical Paradigms of Climate Science (2016).doi:10.1007/978-3-319-39092-5_9
Johannessen, J.A., Chapron, B., Kudryavtsev, V. & Collard, F. From 2D mesoscale surface expressions to 3D upper ocean dynamics. Proceedings of SeaSAR 2012 2nd Edition, Tromsø, Norway (ESA SP-709, 2nd edition) (2013).