10 citations as recorded by crossref.

1. Robust reconstruction of glacier beds using transient 2D assimilation with Stokes S. Cook et al. https://doi.org/10.1017/jog.2023.26
2. Data assimilation using adaptive, non-conservative, moving mesh models A. Aydoğdu et al. https://doi.org/10.5194/npg-26-175-2019
3. Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic M. Rabatel et al. https://doi.org/10.5194/tc-12-935-2018
4. Robust adaptive meshing, mesh density functions, and nonlocal observations for ensemble based data assimilation J. Buenger et al. https://doi.org/10.1016/j.camwa.2025.11.017
5. Estimation of the state and parameters in ice sheet model using an ensemble Kalman filter and Observing System Simulation Experiments Y. Choi et al. https://doi.org/10.5194/tc-19-5423-2025
6. Next Generation Air Quality Models: Dynamical Mesh, New Insights into Mechanism, Datasets and Applications J. Li et al. https://doi.org/10.1007/s40726-025-00355-9
7. Data assimilation in the geosciences: An overview of methods, issues, and perspectives A. Carrassi et al. https://doi.org/10.1002/wcc.535
8. A metric tensor approach to data assimilation with adaptive moving meshes C. Krause et al. https://doi.org/10.1016/j.jcp.2022.111407
9. Simulating surface height and terminus position for marine outlet glaciers using a level set method with data assimilation M. Hossain et al. https://doi.org/10.1016/j.jcp.2022.111766
10. Assimilation of surface observations in a transient marine ice sheet model using an ensemble Kalman filter F. Gillet-Chaulet https://doi.org/10.5194/tc-14-811-2020