Biblio
Filters: Author is Laurent Bertino [Clear All Filters]
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization. Foundations of Data Science 2, (2020). Abstract
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model. Journal of Computational Science 44, (2020).
Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography. Remote Sensing of Environment 239, (2020).
The impact of atmospheric and oceanic circulations on the Greenland Sea iceconcentration. The Cryosphere Discussions (2020).doi:https://doi.org/10.5194/tc-2020-127
Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment. Tellus. Series A, Dynamic meteorology and oceanography 72, (2019). Abstract
Connections between data assimilation and machine learning to emulate a numerical model. (2019).doi:10.5065/y82j-f154
Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models. Nonlinear processes in geophysics 26, (2019).
From Observation to Information and Users: The Copernicus Marine Service Perspective. Frontiers in Marine Science (2019).doi:10.3389/fmars.2019.00234
Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks. Frontiers in Marine Science (2019).doi:10.3389/fmars.2019.00417
Polar Ocean Observations: A critical gap in the observing system and its effect on environmental predictions from hours to a season. Frontiers in Marine Science (2019).doi:10.3389/fmars.2019.00429
Synthesis of ocean observations using data assimilation for operational, real-time and reanalysis systems: a more complete picture of the state of the ocean. Frontiers in Marine Science 6, (2019).
Assimilation of semi-qualitative observations with a stochasticensemble Kalman filter. Quarterly Journal of the Royal Meteorological Society 144, (2018). Abstract
Data assimilation in the geosciences - An overview of methods, issues and perspectives. WIREs Climate Change (2018).doi:doi: 10.1002/wcc.535
Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis. The Cryosphere 12, (2018). Abstract
