Search Results - "Simon, Ehouarn"
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1
Covariance Matrix Estimation for Ensemble-Based Kalman Filters with Multiple Ensembles
Published in Mathematical geosciences (01-11-2023)“…We consider the implementation of ensemble-based Kalman filters (EnKF) in the framework of ensembles of different accuracies and sizes that are smaller than…”
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2
Lp‐norm regularization approaches in variational data assimilation
Published in Quarterly journal of the Royal Meteorological Society (01-04-2021)“…This article presents a formulation of the 4D‐Var objective function using as a penalty term a Lp‐norm with 1 < p < 2. This approach is motivated by the nature…”
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3
Gaussian Anamorphosis for Ensemble Kalman Filter Analysis of SAR-Derived Wet Surface Ratio Observations
Published in IEEE transactions on geoscience and remote sensing (2024)“…Flood simulation and forecast capability have been greatly improved thanks to advances in data assimilation (DA) strategies incorporating various types of…”
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Guaranteeing the convergence of the saddle formulation for weakly constrained 4D‐Var data assimilation
Published in Quarterly journal of the Royal Meteorological Society (01-10-2018)“…This paper discusses convergence issues for the saddle variational formulation of the weakly constrained 4D‐Var method in data assimilation, a method whose…”
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5
A note on preconditioning weighted linear least‐squares, with consequences for weakly constrained variational data assimilation
Published in Quarterly journal of the Royal Meteorological Society (01-04-2018)“…The effect of preconditioning linear weighted least‐squares using an approximation of the model matrix is analyzed. The aim is to investigate from a…”
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6
Minimizing convex quadratics with variable precision conjugate gradients
Published in Numerical linear algebra with applications (01-01-2021)“…Summary We investigate the method of conjugate gradients, exploiting inaccurate matrix‐vector products, for the solution of convex quadratic optimization…”
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7
A Deep Learning Approach for Estimation of the Nearshore Bathymetry
Published in Journal of coastal research (26-05-2020)“…Benshila, R.; Thoumyre, G.; Al Najar, M.; Absessolo, G.; Almar, R.; Bergsma, E.; Hugonnard, G.; Labracherie, L.; Lavie, B.; Ragonneau, T.; Simon, E.; Vieuble,…”
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8
Neural prediction model for transition onset of a boundary layer in presence of two-dimensional surface defects
Published in Flow (Cambridge, England) (17-07-2023)“…Predicting the laminar to turbulent transition is an important aspect of computational fluid dynamics because of its impact on skin friction. Traditional…”
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Application of model reduced 4D-Var to a 1D ecosystem model
Published in Ocean modelling (Oxford) (01-11-2012)“…► Model reduced 4D-Var capable of combined parameter and initial condition calibration for ecosystem. ► Initial condition estimated in the reduced space, which…”
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10
Observation thinning in data assimilation computations
Published in EURO journal on computational optimization (01-02-2015)“…We propose to use an observation-thinning method for the efficient numerical solution of large-scale incremental four- dimensional (4D-Var) data assimilation…”
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11
Dealing With Non-Gaussianity of SAR-derived Wet Surface Ratio for Flood Extent Representation Improvement
Published 14-06-2023“…IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 1595-1598 Owing to advances in data assimilation,…”
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12
Gaussian anamorphosis extension of the DEnKF for combined state parameter estimation: Application to a 1D ocean ecosystem model
Published in Journal of marine systems (2012)“…We consider the problem of combined state–parameter estimations in biased nonlinear models with non-Gaussian extensions of the Deterministic Ensemble Kalman…”
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13
A non-linear conjugate gradient in dual space for Lp-norm regularized non-linear least squares with application in data assimilation
Published in Numerical algorithms (2024)“…Wanting to minimize a non-linear least squares function penalized with an L p -norm, with p ∈ ( 1 , 2 ) , stemming from a 4DVar formulation of a data…”
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14
A non-linear conjugate gradient in dual space for $$L_p$$-norm regularized non-linear least squares with application in data assimilation
Published in Numerical algorithms (01-01-2024)Get full text
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15
L p ‐norm regularization approaches in variational data assimilation
Published in Quarterly journal of the Royal Meteorological Society (01-04-2021)“…Abstract This article presents a formulation of the 4D‐Var objective function using as a penalty term a L p ‐norm with 1 < p < 2 . This approach is motivated…”
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16
Experiences in multiyear combined state–parameter estimation with an ecosystem model of the North Atlantic and Arctic Oceans using the Ensemble Kalman Filter
Published in Journal of marine systems (01-12-2015)“…A sequence of one-year combined state–parameter estimation experiments has been conducted in a North Atlantic and Arctic Ocean configuration of the coupled…”
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17
A note on preconditioning weighted linear least squares, with consequences for weakly-constrained variational data assimilation
Published 26-09-2017“…Quarterly Journal of the Royal Meteorological Society, vol. 144(172), pp. 934--940, 2018 The effect of preconditioning linear weighted least-squares using an…”
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18
An algorithm for the minimization of nonsmooth nonconvex functions using inexact evaluations and its worst-case complexity
Published in Mathematical programming (01-05-2021)“…An adaptive regularization algorithm using inexact function and derivatives evaluations is proposed for the solution of composite nonsmooth nonconvex…”
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19
Minimizing convex quadratics with variable precision conjugate gradients
Published in Numerical linear algebra with applications (2021)“…We investigate the method of conjugate gradients, exploiting inac-curate matrix-vector products, for the solution of convex quadratic op-timization problems…”
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20
Online tuning of ocean biogeochemical model parameters using ensemble estimation techniques: Application to a one-dimensional model in the North Atlantic
Published in Journal of marine systems (01-04-2017)“…Given the recent focus on developing new data assimilation systems for biological models, we present in this study the application of a newly developed…”
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