Search Results - "BERTINO, LAURENT"

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  1. 1

    Combining data assimilation and machine learning to infer unresolved scale parametrization by Brajard, Julien, Carrassi, Alberto, Bocquet, Marc, Bertino, Laurent

    “…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 by Bocquet, Marc, Brajard, Julien, Carrassi, Alberto, Bertino, Laurent

    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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  3. 3

    On the future navigability of Arctic sea routes: High-resolution projections of the Arctic Ocean and sea ice by Aksenov, Yevgeny, Popova, Ekaterina E., Yool, Andrew, Nurser, A.J. George, Williams, Timothy D., Bertino, Laurent, Bergh, Jon

    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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  4. 4

    Wave–ice interactions in the marginal ice zone. Part 1: Theoretical foundations by Williams, Timothy D., Bennetts, Luke G., Squire, Vernon A., Dumont, Dany, Bertino, Laurent

    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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  5. 5

    Detection and attribution of intra-annual mass component of sea-level variations along the Norwegian coast by Mangini, Fabio, Bonaduce, Antonio, Chafik, Léon, Raj, Roshin, Bertino, Laurent

    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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  6. 6

    Wave–ice interactions in the marginal ice zone. Part 2: Numerical implementation and sensitivity studies along 1D transects of the ocean surface by Williams, Timothy D., Bennetts, Luke G., Squire, Vernon A., Dumont, Dany, Bertino, Laurent

    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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  7. 7

    Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis by Xie, Jiping, Counillon, Francois, Bertino, Laurent

    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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  8. 8

    Insights on multivariate updates of physical and biogeochemical ocean variables using an Ensemble Kalman Filter and an idealized model of upwelling by Yu, Liuqian, Fennel, Katja, Bertino, Laurent, Gharamti, Mohamad El, Thompson, Keith R.

    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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  9. 9

    Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites by Aalstad, Kristoffer, Westermann, Sebastian, Schuler, Thomas Vikhamar, Boike, Julia, Bertino, Laurent

    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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  10. 10

    Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013 by Xie, Jiping, Bertino, Laurent, Counillon, François, Lisæter, Knut A, Sakov, Pavel

    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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    An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US by Blyverket, Jostein, Hamer, Paul, Bertino, Laurent, Albergel, Clément, Fairbairn, David, Lahoz, William

    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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  13. 13

    The relationship between the eddy-driven jet stream and northern European sea level variability by Mangini, Fabio, Chafik, Léon, Madonna, Erica, Li, Camille, Bertino, Laurent, Nilsen, Jan Even Øie

    “…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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    Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment by Shah, Abhishek, Bertino, Laurent, Counillon, François, El Gharamti, Mohamad, Xie, Jiping

    “…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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  16. 16

    Freshwater in the Arctic Ocean 2010–2019 by Solomon, Amy, Heuzé, Céline, Rabe, Benjamin, Bacon, Sheldon, Bertino, Laurent, Heimbach, Patrick, Inoue, Jun, Iovino, Doroteaciro, Mottram, Ruth, Zhang, Xiangdong, Aksenov, Yevgeny, McAdam, Ronan, Nguyen, An, Raj, Roshin P, Tang, Han

    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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  17. 17

    Seasonal-to-decadal predictions with the ensemble Kalman filter and the Norwegian Earth System Model: a twin experiment by Counillon, Francois, Bethke, Ingo, Keenlyside, Noel, Bentsen, Mats, Bertino, Laurent, Zheng, Fei

    “…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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  18. 18

    Surface and Interior Dynamics of Arctic Seas Using Surface Quasi-Geostrophic Approach by Umbert, Marta, De-Andrés, Eva, Gonçalves-Araujo, Rafael, Gutiérrez, Marina, Raj, Roshin, Bertino, Laurent, Gabarró, Carolina, Isern-Fontanet, Jordi

    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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    Evaluation of Arctic Ocean surface salinities from the Soil Moisture and Ocean Salinity (SMOS) mission against a regional reanalysis and in situ data by Xie, Jiping, Raj, Roshin P, Bertino, Laurent, Samuelsen, Annette, Wakamatsu, Tsuyoshi

    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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