17 citations as recorded by crossref.

1. A nonintrusive hybrid neural-physics modeling of incomplete dynamical systems: Lorenz equations S. Pawar et al. 10.1007/s13137-021-00185-z
2. Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models M. Bocquet et al. 10.5194/npg-26-143-2019
3. A new mathematical framework for atmospheric blocking events V. Lucarini & A. Gritsun 10.1007/s00382-019-05018-2
4. On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments C. Grudzien et al. 10.5194/gmd-13-1903-2020
5. Joint identification of contaminant source characteristics and hydraulic conductivity in a tide-influenced coastal aquifer A. Dodangeh et al. 10.1016/j.jconhyd.2022.103980
6. A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China G. Jia et al. 10.1016/j.jes.2021.08.048
7. Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology Y. Chen et al. 10.5194/tc-18-2381-2024
8. Strongly Coupled Data Assimilation in Multiscale Media: Experiments Using a Quasi‐Geostrophic Coupled Model S. Penny et al. 10.1029/2019MS001652
9. Inferring the instability of a dynamical system from the skill of data assimilation exercises Y. Chen et al. 10.5194/npg-28-633-2021
10. Application of a local attractor dimension to reduced space strongly coupled data assimilation for chaotic multiscale systems C. Quinn et al. 10.5194/npg-27-51-2020
11. Online learning of both state and dynamics using ensemble Kalman filters M. Bocquet et al. 10.3934/fods.2020015
12. Combining harmonic pumping with a tracer test for fractured aquifer characterization A. Dodangeh et al. 10.1007/s10040-023-02595-9
13. Particle filters for data assimilation based on reduced‐order data models J. Maclean & E. Van Vleck 10.1002/qj.4001
14. Dynamical effects of inflation in ensemble‐based data assimilation under the presence of model error G. Scheffler et al. 10.1002/qj.4307
15. Asymptotic Forecast Uncertainty and the Unstable Subspace in the Presence of Additive Model Error C. Grudzien et al. 10.1137/17M114073X
16. Inference of stochastic parametrizations for model error treatment using nested ensemble Kalman filters G. Scheffler et al. 10.1002/qj.3542
17. On Temporal Scale Separation in Coupled Data Assimilation with the Ensemble Kalman Filter M. Tondeur et al. 10.1007/s10955-020-02525-z