Articles with public access mandates - Laurent BertinoLearn more
Not available anywhere: 5
Cryorad: A low frequency wideband radiometer mission for the study of the cryosphere
G Macelloni, M Brogioni, M Leduc-Leballeur, F Montomoli, A Bartsch, ...
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
Mandates: Government of Italy
Analysis of the northern South China Sea counter-wind current in winter using a data assimilation model
J Xie, J Zhu, L Bertino, F Counillon
Ocean Dynamics 65, 523-538, 2015
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China …
An OSSE evaluation of the GNSS-R altimetry data for the GEROS-ISS mission as a complement to the existing observational networks
J Xie, L Bertino, E Cardellach, M Semmling, J Wickert
Remote Sensing of Environment 209, 152-165, 2018
Mandates: Research Council of Norway
Impact of assimilating altimeter data on eddy characteristics in the South China Sea
J Xie, M De Vos, L Bertino, J Zhu, F Counillon
Ocean Modelling 155, 101704, 2020
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Operational Forecasting of Sea Ice in the Arctic Using TOPAZ System
L Bertino, J Xie
Sea Ice in the Arctic: Past, Present and Future, 389-397, 2020
Mandates: Research Council of Norway
Available somewhere: 60
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
Mandates: Research Council of Norway
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
Mandates: US National Science Foundation, UK Natural Environment Research Council
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
Mandates: UK Natural Environment Research Council, Research Council of Norway
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
Mandates: US National Aeronautics and Space Administration, Government of Spain
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
Mandates: UK Natural Environment Research Council, Research Council of Norway
Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013
J Xie, L Bertino, F Counillon, KA Lisæter, P Sakov
Ocean Science 13 (1), 123-144, 2017
Mandates: European Commission, Research Council of Norway
Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models
M Bocquet, J Brajard, A Carrassi, L Bertino
Nonlinear Processes in Geophysics 26 (3), 143-162, 2019
Mandates: Research Council of Norway
Status and future of global and regional ocean prediction systems
M Tonani, M Balmaseda, L Bertino, E Blockley, G Brassington, ...
Journal of Operational Oceanography 8 (sup2), s201-s220, 2015
Mandates: US National Aeronautics and Space Administration
Synthesis of ocean observations using data assimilation for operational, real-time and reanalysis systems: A more complete picture of the state of the ocean
AM Moore, MJ Martin, S Akella, HG Arango, M Balmaseda, L Bertino, ...
Frontiers in Marine Science 6, 90, 2019
Mandates: US Department of Defense
Observing system evaluation based on ocean data assimilation and prediction systems: On-going challenges and a future vision for designing and supporting ocean observational …
Y Fujii, E Rémy, H Zuo, P Oke, G Halliwell, F Gasparin, M Benkiran, ...
Frontiers in Marine Science 6, 417, 2019
Mandates: US National Oceanic and Atmospheric Administration, European Commission
Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites
K Aalstad, S Westermann, TV Schuler, J Boike, L Bertino
The Cryosphere 12 (1), 247-270, 2018
Mandates: Research Council of Norway
Seasonal-to-decadal predictions with the ensemble Kalman filter and the Norwegian Earth System Model: a twin experiment
F Counillon, I Bethke, N Keenlyside, M Bentsen, L Bertino, F Zheng
Tellus A: Dynamic Meteorology and Oceanography 66 (1), 21074, 2014
Mandates: Research Council of Norway
Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography
K Aalstad, S Westermann, L Bertino
Remote Sensing of Environment 239, 111618, 2020
Mandates: Research Council of Norway, Nordforsk
Polar ocean observations: A critical gap in the observing system and its effect on environmental predictions from hours to a season
GC Smith, R Allard, M Babin, L Bertino, M Chevallier, G Corlett, J Crout, ...
Frontiers in Marine Science 6, 429, 2019
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Copernicus marine service ocean state report, issue 4
K von Schuckmann, PY Le Traon, N Smith, A Pascual, S Djavidnia, ...
Journal of Operational Oceanography 13 (sup1), S1-S172, 2020
Mandates: Fundação para a Ciência e a Tecnologia, Portugal
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