9 citations as recorded by crossref.

1. Comparing the ensemble and extended Kalman filters for in situ soil moisture assimilation with contrasting conditions D. Fairbairn et al. https://doi.org/10.5194/hess-19-4811-2015
2. Impact of INSAT‐3D land surface temperature assimilation via simplified extended Kalman filter‐based land data assimilation system on forecasting of surface fields over India A. Lodh et al. https://doi.org/10.1002/met.70019
3. Combining an EKF soil analysis with a 3D‐Var upper‐air assimilation in a limited‐area NWP model A. Duerinckx et al. https://doi.org/10.1002/qj.3141
4. Toward a variational assimilation of polarimetric radar observations in a convective-scale numerical weather prediction (NWP) model G. Thomas et al. https://doi.org/10.5194/amt-13-2279-2020
5. Pseudosatellite Dynamic Positioning of UAV Pod Based on an Improved SR-UKF Algorithm Q. Zhang et al. https://doi.org/10.1155/2018/4568746
6. Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area C. Albergel et al. https://doi.org/10.5194/gmd-10-3889-2017
7. Assimilation of Screen-level Observations for Soil Moisture Analysis in the INM RAS-MSU Multilayer Soil Model Included in the SL-AV Global Atmospheric Modeling System S. Travova & M. Tolstykh https://doi.org/10.3103/S1068373922080015
8. Influence of ASCAT soil moisture on prediction of track and intensity of landfall tropical cyclones A. Routray et al. https://doi.org/10.1080/01431161.2022.2164232
9. Development of Surface Data Assimilation Using Simplified Extended Kalman Filter in AROME Model in Hungary H. Tóth et al. https://doi.org/10.3390/atmos16060709