17 citations as recorded by crossref.

1. A nonintrusive hybrid neural-physics modeling of incomplete dynamical systems: Lorenz equations S. Pawar et al. https://doi.org/10.1007/s13137-021-00185-z
2. Multiscale data assimilation in turbulent models F. Fossella et al. https://doi.org/10.1103/c1wn-n1j6
3. Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models M. Bocquet et al. https://doi.org/10.5194/npg-26-143-2019
4. A new mathematical framework for atmospheric blocking events V. Lucarini & A. Gritsun https://doi.org/10.1007/s00382-019-05018-2
5. On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments C. Grudzien et al. https://doi.org/10.5194/gmd-13-1903-2020
6. Joint identification of contaminant source characteristics and hydraulic conductivity in a tide-influenced coastal aquifer A. Dodangeh et al. https://doi.org/10.1016/j.jconhyd.2022.103980
7. A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China G. Jia et al. https://doi.org/10.1016/j.jes.2021.08.048
8. Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology Y. Chen et al. https://doi.org/10.5194/tc-18-2381-2024
9. Strongly Coupled Data Assimilation in Multiscale Media: Experiments Using a Quasi‐Geostrophic Coupled Model S. Penny et al. https://doi.org/10.1029/2019MS001652
10. Inferring the instability of a dynamical system from the skill of data assimilation exercises Y. Chen et al. https://doi.org/10.5194/npg-28-633-2021
11. Application of a local attractor dimension to reduced space strongly coupled data assimilation for chaotic multiscale systems C. Quinn et al. https://doi.org/10.5194/npg-27-51-2020
12. Online learning of both state and dynamics using ensemble Kalman filters M. Bocquet et al. https://doi.org/10.3934/fods.2020015
13. Combining harmonic pumping with a tracer test for fractured aquifer characterization A. Dodangeh et al. https://doi.org/10.1007/s10040-023-02595-9
14. Particle filters for data assimilation based on reduced‐order data models J. Maclean & E. Van Vleck https://doi.org/10.1002/qj.4001
15. Dynamical effects of inflation in ensemble‐based data assimilation under the presence of model error G. Scheffler et al. https://doi.org/10.1002/qj.4307
16. Asymptotic Forecast Uncertainty and the Unstable Subspace in the Presence of Additive Model Error C. Grudzien et al. https://doi.org/10.1137/17M114073X
17. Inference of stochastic parametrizations for model error treatment using nested ensemble Kalman filters G. Scheffler et al. https://doi.org/10.1002/qj.3542