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K. Larnier, J. Monnier, P.-A. Garambois & J. Verley. (2021) River discharge and bathymetry estimation from SWOT altimetry measurements. Inverse Problems in Science and Engineering 29:6, pages 759-789.
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Jemima M. Tabeart, Sarah L. Dance, Amos S. Lawless, Nancy K. Nichols & Joanne A. Waller. (2020) Improving the condition number of estimated covariance matrices. Tellus A: Dynamic Meteorology and Oceanography 72:1, pages 1-19.
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A.M. Fowler. (2019) Data compression in the presence of observational error correlations. Tellus A: Dynamic Meteorology and Oceanography 71:1.
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Yonghan Choi, Gyu-Ho Lim & Dong-Kyou Lee. (2013) Radar radial wind data assimilation using the time-incremental 4D-Var method implemented to the WRFDA system. Tellus A: Dynamic Meteorology and Oceanography 65:1.
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Laura M. Stewart, Sarah L. Dance & Nancy K. Nichols. (2013) Data assimilation with correlated observation errors: experiments with a 1-D shallow water model. Tellus A: Dynamic Meteorology and Oceanography 65:1.
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Olivier Goux, Selime Gürol, Anthony T. Weaver, Youssef Diouane & Oliver Guillet. (2023) Impact of correlated observation errors on the conditioning of variational data assimilation problems. Numerical Linear Algebra with Applications 31:1.
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Kevin LARNIER & Jérôme MONNIER. (2023) Hybrid Neural Network - Variational Data Assimilation algorithm to infer river discharges from SWOT-like data. Computational Geosciences 27:5, pages 853-877.
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S.A.N. Nouwens, B. de Jager, M.M. Paulides & W.P.M.H. Heemels. (2022) Approximate Kalman filtering for large-scale systems with an application to hyperthermia cancer treatments. Approximate Kalman filtering for large-scale systems with an application to hyperthermia cancer treatments.
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Jérôme Monnier & Jiamin Zhu. (2021) Physically-constrained data-driven inversions to infer the bed topography beneath glaciers flows. Application to East Antarctica. Computational Geosciences 25:5, pages 1793-1819.
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Guannan Hu & Sarah L. Dance. (2021) Efficient computation of matrix–vector products with full observation weighting matrices in data assimilation. Quarterly Journal of the Royal Meteorological Society 147:741, pages 4101-4121.
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L. Pujol, P-A. Garambois, P. Finaud-Guyot, J. Monnier, K. Larnier, R. Mosé, S. Biancamaria, H. Yesou, D. Moreira, A. Paris & S. Calmant. (2020) Estimation of multiple inflows and effective channel by assimilation of multi-satellite hydraulic signatures: The ungauged anabranching Negro river. Journal of Hydrology 591, pages 125331.
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Sam Hatfield, Andrew McRae, Tim Palmer & Peter Düben. (2020) Single-Precision in the Tangent-Linear and Adjoint Models of Incremental 4D-Var. Monthly Weather Review 148:4, pages 1541-1552.
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Jemima M. Tabeart, Sarah L. Dance, Amos S. Lawless, Stefano Migliorini, Nancy K. Nichols, Fiona Smith & Joanne A. Waller. (2020) The impact of using reconditioned correlated observation‐error covariance matrices in the Met Office 1D‐Var system. Quarterly Journal of the Royal Meteorological Society 146:728, pages 1372-1390.
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P.-A. Garambois, K. Larnier, J. Monnier, P. Finaud-Guyot, J. Verley, A.-S. Montazem & S. Calmant. (2020) Variational estimation of effective channel and ungauged anabranching river discharge from multi-satellite water heights of different spatial sparsity. Journal of Hydrology 581, pages 124409.
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S. F. Cleator, S. P. Harrison, N. K. Nichols, I. C. Prentice & I. Roulstone. (2020) A Method for Generating Coherent Spatially Explicit Maps of Seasonal Paleoclimates From Site‐Based Reconstructions. Journal of Advances in Modeling Earth Systems 12:1.
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Jérôme Monnier & Jiamin Zhu. (2019) Inference of the bottom topography in anisothermal mildly-sheared shallow ice flows. Computer Methods in Applied Mechanics and Engineering 348, pages 954-977.
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François Mercier, Yann Michel, Thibaut Montmerle, Pierre Jolivet & Selime Gürol. (2019) Speeding up the ensemble data assimilation system of the limited‐area model of Météo‐France using a block Krylov algorithm. Quarterly Journal of the Royal Meteorological Society 145:720, pages 910-929.
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François Mercier, Selime Gürol, Pierre Jolivet, Yann Michel & Thibaut Montmerle. (2018) Block Krylov methods for accelerating ensembles of variational data assimilations. Quarterly Journal of the Royal Meteorological Society 144:717, pages 2463-2480.
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Jemima M. Tabeart, Sarah L. Dance, Stephen A. Haben, Amos S. Lawless, Nancy K. Nichols & Joanne A. Waller. (2018) The conditioning of least‐squares problems in variational data assimilation. Numerical Linear Algebra with Applications 25:5.
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T. Janjić, N. Bormann, M. Bocquet, J. A Carton, S. E. Cohn, S. L. Dance, S. N. Losa, N. K. Nichols, R. Potthast, J. A. Waller & P. Weston. (2017) On the representation error in data assimilation. Quarterly Journal of the Royal Meteorological Society 144:713, pages 1257-1278.
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Colin Grudzien, Alberto Carrassi & Marc Bocquet. (2018) Asymptotic Forecast Uncertainty and the Unstable Subspace in the Presence of Additive Model Error. SIAM/ASA Journal on Uncertainty Quantification 6:4, pages 1335-1363.
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P. P. Weston, W. Bell & J. R. Eyre. (2014) Accounting for correlated error in the assimilation of high-resolution sounder data. Quarterly Journal of the Royal Meteorological Society 140:685, pages 2420-2429.
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A. Barth, J.-M. Beckers, C. Troupin, A. Alvera-Azcárate & L. Vandenbulcke. (2014) divand-1.0: <i>n</i>-dimensional variational data analysis for ocean observations. Geoscientific Model Development 7:1, pages 225-241.
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