17 citations as recorded by crossref.

1. A Coordinate-Based Framework for Sea Surface Wind Speed Reconstruction from Sparse Multi-Source Observations R. Hu et al. https://doi.org/10.3390/rs18162709
2. An Analog Offline EnKF for Paleoclimate Data Assimilation H. Sun et al. https://doi.org/10.1029/2021MS002674
3. Background Error in WRF Model N. Kutaladze & G. Mikuchadze https://doi.org/10.37394/232015.2020.16.63
4. Error-correction across gauged and ungauged locations: A data assimilation-inspired approach to post-processing river discharge forecasts G. Matthews et al. https://doi.org/10.5194/hess-29-6157-2025
5. A Hybrid Gain Analog Offline EnKF for Paleoclimate Data Assimilation H. Sun et al. https://doi.org/10.1029/2022MS003414
6. Probabilistic Machine Learning Estimation of Ocean Mixed Layer Depth From Dense Satellite and Sparse In Situ Observations D. Foster et al. https://doi.org/10.1029/2021MS002474
7. Crisis Ocean Modelling with a Relocatable Operational Forecasting System and Its Application to the Lakshadweep Sea (Indian Ocean) G. Shapiro et al. https://doi.org/10.3390/jmse10111579
8. OIRF-LEnKF v1.0: a novel data assimilation system by integrating incremental machine learning with a localized EnKF for enhanced PM2.5 chemical component simulation and reanalysis H. Li et al. https://doi.org/10.5194/gmd-19-4835-2026
9. The importance of input data quality and quantity in climate field reconstructions – results from the assimilation of various tree-ring collections J. Franke et al. https://doi.org/10.5194/cp-16-1061-2020
10. Impact of Proxies and Prior Estimates on Data Assimilation Using Isotope Ratios for the Climate Reconstruction of the Last Millennium S. Shoji et al. https://doi.org/10.1029/2020EA001618
11. DASH: a MATLAB toolbox for paleoclimate data assimilation J. King et al. https://doi.org/10.5194/gmd-16-5653-2023
12. Assimilating monthly precipitation data in a paleoclimate data assimilation framework V. Valler et al. https://doi.org/10.5194/cp-16-1309-2020
13. An ensemble reconstruction of global monthly sea surface temperature and sea ice concentration 1000–1849 E. Samakinwa et al. https://doi.org/10.1038/s41597-021-01043-1
14. A global Data Assimilation of Moisture Patterns from 21 000–0 BP (DAMP-21ka) using lake level proxy records C. Hancock et al. https://doi.org/10.5194/cp-20-2663-2024
15. Efficient deep data assimilation with sparse observations and time-varying sensors S. Cheng et al. https://doi.org/10.1016/j.jcp.2023.112581
16. Harmonizing Terrestrial Carbon Cycle Observations Over CONUS NEON Sites: Assessing the Information Contributions of Multiple Data Constraints D. Zhang et al. https://doi.org/10.1111/gcb.70761
17. ModE-RA: a global monthly paleo-reanalysis of the modern era 1421 to 2008 V. Valler et al. https://doi.org/10.1038/s41597-023-02733-8