74 citations as recorded by crossref.

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30. Data assimilation experiments using diffusive back-and-forth nudging for the NEMO ocean model G. Ruggiero et al. 10.5194/npg-22-233-2015
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33. Sequential identification of boundary support parameters in a fluid-structure vascular model using patient image data P. Moireau et al. 10.1007/s10237-012-0418-3
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35. Data Assimilation in Large Prandtl Rayleigh--Bénard Convection from Thermal Measurements A. Farhat et al. 10.1137/19M1248327
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42. A Spatially Dependent Nudging Method and Its Application to a Global Tide Assimilation L. Liu & X. Chen 10.1007/s00376-024-4062-5
43. Mapping Altimetry in the Forthcoming SWOT Era by Back-and-Forth Nudging a One-Layer Quasigeostrophic Model F. Le Guillou et al. 10.1175/JTECH-D-20-0104.1
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48. Reconstructing the Initial State of the Linear System and Estimating its Error in Discretization R. Wang & W. Xie 10.11650/tjm/221105
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50. Uniform exponential stabilization and the state reconstruction of the wave equation with viscosity Z. Fu et al. 10.1360/SSM-2020-0292
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53. Finite time synchronization of the continuous/discrete data assimilation algorithms for Lorenz 63 system based on the back and forth nudging techniques Y. Peng et al. 10.1016/j.rinam.2023.100407
54. Ocean‐depth measurement using shallow‐water wave models V. Vasan et al. 10.1111/sapm.12418
55. Fundamental principles of data assimilation underlying the Verdandi library: applications to biophysical model personalization within euHeart D. Chapelle et al. 10.1007/s11517-012-0969-6
56. First results of operational ionospheric dynamics prediction for the Brazilian Space Weather program A. Petry et al. 10.1016/j.asr.2014.03.017
57. Eccentricity Parameters Identification for a Motorized Spindle System Based on Improved Maximum Likelihood Method W. Mao et al. 10.1155/2020/5491957
58. On the physical nudging equations G. Conti et al. 10.1007/s00382-021-05972-w
59. Dynamic Initialization for Whole Atmospheric Global Modeling I. Song et al. 10.1029/2017MS001213
60. Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al. 10.1002/wcc.535
61. Continuous Data Assimilation for the Three-Dimensional Navier--Stokes Equations A. Biswas & R. Price 10.1137/20M1323229
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63. Continuous data assimilation for the 3D Ladyzhenskaya model: analysis and computations Y. Cao et al. 10.1016/j.nonrwa.2022.103659
64. Data assimilation in 2D hyperbolic/parabolic systems using a stabilized explicit finite difference scheme run backward in time A. Carasso 10.1080/27690911.2023.2282641
65. Methods for Observation Data Assimilation in Problems of Physics of Atmosphere and Ocean V. Shutyaev 10.1134/S0001433819010080
66. Output error minimizing back and forth nudging method for initial state recovery A. Aalto 10.1016/j.sysconle.2016.06.002
67. Sources of skill in near-term climate prediction: generating initial conditions A. Carrassi et al. 10.1007/s00382-016-3036-4
68. Object-Based Analog Forecasts for Surface Wind Speed M. Frediani et al. 10.1175/MWR-D-17-0012.1
69. An efficient data assimilation algorithm using the Allen–Cahn equation B. Xia et al. 10.1016/j.enganabound.2023.06.029
70. Data assimilation with regularized nonlinear instabilities H. Abarbanel et al. 10.1002/qj.600
71. A Switching Observer for a Class of Nonuniformly Observable Systems via Singular Time-Rescaling M. Aguado-Rojas et al. 10.1109/TAC.2021.3062340
72. Model and observation‐error covariance matrix information in the physical nudging equations G. Conti et al. 10.1002/qj.4979
73. Luenberger Observers for Infinite-Dimensional Systems, Back and Forth Nudging, and Application to a Crystallization Process L. Brivadis et al. 10.1137/20M1329020
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