Biblio

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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 379, (2021). Abstract
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
Boutin, G., Williams, T., Horvat, C. & Brodeau, L. Modelling the Arctic wave-affected marginal ice zone: a comparison with ICESat-2 observations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380, (2022).
Bonnet, E. Power law fault length distribution exponent: a synthesis. NGF (Geological Society of Norway), annual meeting, Stavanger 6-8 Jan 1999 (1999).