Laurent Bertino

Job Position: 
Research Leader/Senior Researcher
Research Group: 
+47 934 56 215
Laurent Bertino Staff Picture

Research interests

My aim is to improve the stochastic framework for performing data assimilation, other interests include numerical ocean modelling (especially in the hybrid coordinates ocean model HYCOM) and statistics applied to environmental problems. My PhD has borrowed the method of "Gaussian anamorphosis" from the weaponry of geostatistics for further applications of sequential data assimilation into coupled physical-ecosystem models.

2001: PhD in geostatistics from the Ecole des Mines de Paris.

2002: Post-doc at NERSC

2003: Group leader for the Modeling and Data Assimilation group.

2004: Co-director of the Mohn-Sverdrup Center.

2010: Research Director at NERSC.


cv-laurent_bertino_2p_2018.pdf90.59 KB

Peer Review Publications and Books

111 total publications.


  1. 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;


  1. von Schuckmann K, Traon P-YL, Smith N, Pascual A, Djavidnia S, Gattuso J-P, et al. Copernicus Marine Service Ocean State Report, issue 4. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology. 2020;13(1).
  2. Bertino L, Xie J. Operational Forecasting of Sea Ice in the Arctic Using TOPAZ system. In: Sea Ice in the Arctic, Past, Present and Future. 2020.


  1. Brajard J, Bocquet M, Carrassi A, Bertino L. Connections between data assimilation and machine learning to emulate a numerical model. In: Proceedings of the 9th International Workshop on Climate informatics: CI 2019. 2019.

Other Publications