Laurent Bertino

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.
Project leader of the following projects
NERSC Principal Investigator of the following projects
Project deputy leader of the following projects
Publications
Peer Review Publications and Books
2023
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Assimilation of sea surface salinities from SMOS in an Arctic coupled ocean and sea ice reanalysis. Ocean Science. 2023;19(2)..
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Surface and Interior Dynamics of Arctic Seas Using Surface Quasi-Geostrophic Approach. Remote Sensing. 2023;15(7).
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Improving Vortex Position Accuracy with a New Multiscale Alignment Ensemble Filter. Monthly Weather Review. 2023;151(6)..
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Detection and attribution of intra-annual mass component of sea-level variations along the Norwegian coast. Scientific Reports. 2023;.
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A Kernel Extension of the Ensemble Transform Kalman Filter. Lecture Notes in Computer Science (LNCS). 2023;10476..
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Improving satellite-based monitoring of the polar regions: Identification of research and capacity gaps. Frontiers in Remote Sensing. 2023;4.
2022
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Sea-level change over the northern European continental shelf due to atmospheric and oceanic contributions. [Internett]. 2022. Available from: https://hdl.handle.net/11250/3011735.
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Section 4.2. Oceanic response to the 2020 Siberian heatwave In: Copernicus Ocean State Report, issue 6. Journal of operational oceanography. Publisher: The Institute of Marine Engineering, Science & Technology. 2022;15.
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Biogeochemical Modelling. I: ETOOFS Expert team on Operational Ocean Forecasting System - Implementing operational ocean monitoring and forecasting systems. 2022.
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Sea Ice Modelling. I: ETOOFS Expert team on Operational Ocean Forecasting System - Implementing operational ocean monitoring and forecasting systems. 2022..
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Safer Operations in Changing Ice-Covered Seas: Approaches and Perspectives. I: IUTAM Symposium on Physics and Mechanics of Sea Ice. 2022.
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Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system. Environmental Research Letters. 2022;209..
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Improved BEC SMOS Arctic Sea Surface Salinity product v3.1. Earth System Science Data. 2022;14(1).
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An evaluation of the performance of sea ice thickness forecasts to support arctic marine transport. Journal of Marine Science and Engineering. 2022;10(2).
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Super-resolution data assimilation. Ocean Dynamics. 2022;72(8)..
2021
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The relationship between the eddy-driven jet stream and northern European sea level variability. Tellus A: Dynamic Meteorology and Oceanography. 2021;73(1)..
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Combining data assimilation and machine learning to infer unresolved scale parametrization. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2021;379(2194)..
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Combined influence of oceanic and atmospheric circulations on Greenland sea ice concentration. The Cryosphere. 2021;15(3).
Other Publications
2019
2014
2012
2011
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Challenges and capabilities of data assimilation. Nansen-Tutu Centre Scientific Opening Symposium. 2011;.
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Ocean weather and ecosystem. 2011..
2010
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Joint state-parameter estimation in a 3-D coupled physical-ecosystem model of the North Atlantic: assimilation of SeaWiFS data with a non-Gaussian extension of an ESRF [Internett]. ESA Living Planet Symposium. 2010;Available from: http://www.esa.int/SPECIALS/Living_Planet_Symposium_2010/index.html.
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LOVECUR. 2010..
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The fram Strait tomography system for ocean model validation, assimilation, and inversion. IPY - Oslo Science Conference. 2010;