Search Results - "BERTINO, LAURENT"
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Combining data assimilation and machine learning to infer unresolved scale parametrization
Published in Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences (05-04-2021)“…In recent years, machine learning (ML) has been proposed to devise data-driven parametrizations of unresolved processes in dynamical numerical models. In most…”
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Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models
Published in Nonlinear processes in geophysics (10-07-2019)“…Recent progress in machine learning has shown how to forecast and, to some extent, learn the dynamics of a model from its output, resorting in particular to…”
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On the future navigability of Arctic sea routes: High-resolution projections of the Arctic Ocean and sea ice
Published in Marine policy (01-01-2017)“…The rapid Arctic summer sea ice reduction in the last decade has lead to debates in the maritime industries on the possibility of an increase in cargo…”
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Wave–ice interactions in the marginal ice zone. Part 1: Theoretical foundations
Published in Ocean modelling (Oxford) (01-11-2013)“…•A one-dimensional model for wave-ice interactionst is presented.•The main components are floe breaking parameterization and wave attenuation.•Theoretical…”
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Detection and attribution of intra-annual mass component of sea-level variations along the Norwegian coast
Published in Scientific reports (15-09-2023)“…Reliable sea-level observations in coastal regions are needed to assess the impact of sea level on coastal communities and ecosystems. This paper evaluates the…”
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Wave–ice interactions in the marginal ice zone. Part 2: Numerical implementation and sensitivity studies along 1D transects of the ocean surface
Published in Ocean modelling (Oxford) (01-11-2013)“…•A one-dimenstional model for wave–ice interactions was presented in part 1 of this paper.•The main components are summarised here.•The numerical schemes and…”
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Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis
Published in The cryosphere (26-11-2018)“…Accurately forecasting the sea-ice thickness (SIT) in the Arctic is a major challenge. The new SIT product (referred to as CS2SMOS) merges measurements from…”
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Insights on multivariate updates of physical and biogeochemical ocean variables using an Ensemble Kalman Filter and an idealized model of upwelling
Published in Ocean modelling (Oxford) (01-06-2018)“…•Multivariate updates of physical–biogeochemical fields outperform isolated updates.•Success depends on close correlation between physical and biogeochemical…”
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Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites
Published in The cryosphere (23-01-2018)“…With its high albedo, low thermal conductivity and large water storing capacity, snow strongly modulates the surface energy and water balance, which makes it a…”
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Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013
Published in Ocean science (13-02-2017)“…Long dynamical atmospheric reanalyses are widely used for climate studies, but data-assimilative reanalyses of ocean and sea ice in the Arctic are less common…”
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Measuring currents, ice drift, and waves from space: the Sea surface KInematics Multiscale monitoring (SKIM) concept
Published in Ocean science (15-05-2018)“…We propose a satellite mission that uses a near-nadir Ka-band Doppler radar to measure surface currents, ice drift and ocean waves at spatial scales of 40 km…”
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An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US
Published in Remote sensing (Basel, Switzerland) (01-03-2019)“…A number of studies have shown that assimilation of satellite derived soil moisture using the ensemble Kalman Filter (EnKF) can improve soil moisture…”
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The relationship between the eddy-driven jet stream and northern European sea level variability
Published in Tellus. Series A, Dynamic meteorology and oceanography (01-01-2021)“…Wintertime sea level variability over the northern European continental shelf is largely wind-driven. Using daily gridded sea level anomaly from altimetry, we…”
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GEROS-ISS: GNSS REflectometry, Radio Occultation, and Scatterometry Onboard the International Space Station
Published in IEEE journal of selected topics in applied earth observations and remote sensing (01-10-2016)“…GEROS-ISS stands for GNSS REflectometry, radio occultation, and scatterometry onboard the International Space Station (ISS). It is a scientific experiment,…”
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Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment
Published in Tellus. Series A, Dynamic meteorology and oceanography (01-01-2020)“…A newly introduced stochastic data assimilation method, the Ensemble Kalman Filter Semi-Qualitative (EnKF-SQ) is applied to a realistic coupled ice-ocean model…”
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Freshwater in the Arctic Ocean 2010–2019
Published in Ocean science (17-08-2021)“…The Arctic climate system is rapidly transitioning into a new regime with a reduction in the extent of sea ice, enhanced mixing in the ocean and atmosphere,…”
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Seasonal-to-decadal predictions with the ensemble Kalman filter and the Norwegian Earth System Model: a twin experiment
Published in Tellus. Series A, Dynamic meteorology and oceanography (01-01-2014)“…Here, we firstly demonstrate the potential of an advanced flow dependent data assimilation method for performing seasonal-to-decadal prediction and secondly,…”
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Surface and Interior Dynamics of Arctic Seas Using Surface Quasi-Geostrophic Approach
Published in Remote sensing (Basel, Switzerland) (01-04-2023)“…This study assesses the capability of Surface Quasi-Geostrophy (SQG) to reconstruct the three-dimensional (3D) dynamics in four critical areas of the Arctic…”
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Synthesis of Ocean Observations Using Data Assimilation for Operational, Real-Time and Reanalysis Systems: A More Complete Picture of the State of the Ocean
Published in Frontiers in Marine Science (05-03-2019)“…Ocean data assimilation is increasingly recognized as crucial for the accuracy of realtime ocean prediction systems and historical re-analyses. The current…”
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Evaluation of Arctic Ocean surface salinities from the Soil Moisture and Ocean Salinity (SMOS) mission against a regional reanalysis and in situ data
Published in Ocean science (06-09-2019)“…Recently two gridded sea surface salinity (SSS) products that cover the Arctic Ocean have been derived from the European Space Agency (ESA)'s Soil Moisture and…”
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