13 citations as recorded by crossref.

1. An Analog Offline EnKF for Paleoclimate Data Assimilation H. Sun et al. 10.1029/2021MS002674
2. Background Error in WRF Model N. Kutaladze & G. Mikuchadze 10.37394/232015.2020.16.63
3. A Hybrid Gain Analog Offline EnKF for Paleoclimate Data Assimilation H. Sun et al. 10.1029/2022MS003414
4. Probabilistic Machine Learning Estimation of Ocean Mixed Layer Depth From Dense Satellite and Sparse In Situ Observations D. Foster et al. 10.1029/2021MS002474
5. Crisis Ocean Modelling with a Relocatable Operational Forecasting System and Its Application to the Lakshadweep Sea (Indian Ocean) G. Shapiro et al. 10.3390/jmse10111579
6. 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. 10.5194/cp-16-1061-2020
7. Impact of Proxies and Prior Estimates on Data Assimilation Using Isotope Ratios for the Climate Reconstruction of the Last Millennium S. Shoji et al. 10.1029/2020EA001618
8. DASH: a MATLAB toolbox for paleoclimate data assimilation J. King et al. 10.5194/gmd-16-5653-2023
9. Assimilating monthly precipitation data in a paleoclimate data assimilation framework V. Valler et al. 10.5194/cp-16-1309-2020
10. An ensemble reconstruction of global monthly sea surface temperature and sea ice concentration 1000–1849 E. Samakinwa et al. 10.1038/s41597-021-01043-1
11. A global Data Assimilation of Moisture Patterns from 21 000–0 BP (DAMP-21ka) using lake level proxy records C. Hancock et al. 10.5194/cp-20-2663-2024
12. Efficient deep data assimilation with sparse observations and time-varying sensors S. Cheng et al. 10.1016/j.jcp.2023.112581
13. ModE-RA: a global monthly paleo-reanalysis of the modern era 1421 to 2008 V. Valler et al. 10.1038/s41597-023-02733-8