Laurent Bertino
Laurent Bertino
Research Director, NERSC
Verified email at - Homepage
Cited by
Cited by
Data assimilation in the geosciences: An overview of methods, issues, and perspectives
A Carrassi, M Bocquet, L Bertino, G Evensen
Wiley Interdisciplinary Reviews: Climate Change 9 (5), e535, 2018
TOPAZ4: an ocean-sea ice data assimilation system for the North Atlantic and Arctic.
P Sakov, F Counillon, L Bertino, KA Lisæter, PR Oke, A Korablev
Ocean Science 8 (4), 633-656, 2012
Sequential data assimilation techniques in oceanography
L Bertino, G Evensen, H Wackernagel
International Statistical Review 71 (2), 223-241, 2003
On the future navigability of Arctic sea routes: High-resolution projections of the Arctic Ocean and sea ice
Y Aksenov, EE Popova, A Yool, AJG Nurser, TD Williams, L Bertino, ...
Marine Policy 75, 300-317, 2017
Relation between two common localisation methods for the EnKF
P Sakov, L Bertino
Computational Geosciences 15, 225-237, 2011
Wave–ice interactions in the marginal ice zone. Part 1: Theoretical foundations
TD Williams, LG Bennetts, VA Squire, D Dumont, L Bertino
Ocean Modelling 71, 81-91, 2013
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model
J Brajard, A Carrassi, M Bocquet, L Bertino
Journal of computational science 44, 101171, 2020
An iterative EnKF for strongly nonlinear systems
P Sakov, DS Oliver, L Bertino
Monthly Weather Review 140 (6), 1988-2004, 2012
Gaussian anamorphosis extension of the DEnKF for combined state parameter estimation: Application to a 1D ocean ecosystem model
E Simon, L Bertino
Journal of Marine Systems 89 (1), 1-18, 2012
A wave‐based model for the marginal ice zone including a floe breaking parameterization
D Dumont, A Kohout, L Bertino
Journal of Geophysical Research: Oceans 116 (C4), 2011
Asynchronous data assimilation with the EnKF
P Sakov, G Evensen, L Bertino
Tellus A: Dynamic Meteorology and Oceanography 62 (1), 24-29, 2010
From observation to information and users: The Copernicus Marine Service perspective
PY Le Traon, A Reppucci, E Alvarez Fanjul, L Aouf, A Behrens, ...
Frontiers in Marine Science 6, 234, 2019
Process identification by principal component analysis of river water-quality data
W Petersen, L Bertino, U Callies, E Zorita
Ecological Modelling 138 (1-3), 193-213, 2001
Application of the Gaussian anamorphosis to assimilation in a 3-D coupled physical-ecosystem model of the North Atlantic with the EnKF: a twin experiment
E Simon, L Bertino
Ocean Science 5 (4), 495-510, 2009
GEROS-ISS: GNSS reflectometry, radio occultation, and scatterometry onboard the international space station
J Wickert, E Cardellach, M Martín-Neira, J Bandeiras, L Bertino, ...
IEEE Journal of selected topics in applied Earth observations and Remote …, 2016
GODAE systems in operation
E DOmBrOwSky, L Bertino, GB Brassington, EP Chassignet, F Davidson, ...
Oceanography 22 (3), 80-95, 2009
Wave–ice interactions in the marginal ice zone. Part 2: Numerical implementation and sensitivity studies along 1D transects of the ocean surface
TD Williams, LG Bennetts, VA Squire, D Dumont, L Bertino
Ocean Modelling 71, 92-101, 2013
Measuring currents, ice drift, and waves from space: the Sea surface KInematics Multiscale monitoring (SKIM) concept
F Ardhuin, Y Aksenov, A Benetazzo, L Bertino, P Brandt, E Caubet, ...
Ocean Science 14 (3), 337-354, 2018
Combining data assimilation and machine learning to infer unresolved scale parametrization
J Brajard, A Carrassi, M Bocquet, L Bertino
Philosophical Transactions of the Royal Society A 379 (2194), 20200086, 2021
The TOPAZ monitoring and prediction system for the Atlantic and Arctic Oceans
L Bertino, KA Lisæter
Journal of operational oceanography 1 (2), 15-18, 2008
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