25 citations as recorded by crossref.

1. Suitability of modelled and remotely sensed essential climate variables for monitoring Euro-Mediterranean droughts C. Szczypta et al. 10.5194/gmd-7-931-2014
2. Assimilation of SMOS soil moisture into a distributed hydrological model and impacts on the water cycle variables over the Ouémé catchment in Benin D. Leroux et al. 10.5194/hess-20-2827-2016
3. Enhancing Model Skill by Assimilating SMOPS Blended Soil Moisture Product into Noah Land Surface Model J. Yin et al. 10.1175/JHM-D-14-0070.1
4. Estimation of the L-Band Effective Scattering Albedo of Tropical Forests Using SMOS Observations M. Parrens et al. 10.1109/LGRS.2017.2703637
5. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review G. Balsamo et al. 10.3390/rs10122038
6. Simultaneous assimilation of in situ soil moisture and streamflow in the SWAT model using the Extended Kalman Filter L. Sun et al. 10.1016/j.jhydrol.2016.10.040
7. Review of the Kalman-type hydrological data assimilation L. Sun et al. 10.1080/02626667.2015.1127376
8. Assimilation of SMOS-derived soil moisture in a fully integrated hydrological and soil-vegetation-atmosphere transfer model in Western Denmark M. Ridler et al. 10.1002/2014WR015392
9. SMOS Neural Network Soil Moisture Data Assimilation in a Land Surface Model and Atmospheric Impact N. Rodríguez-Fernández et al. 10.3390/rs11111334
10. Warm Season Evaluation of Soil Moisture Prediction in the Soil, Vegetation, and Snow (SVS) Scheme N. Alavi et al. 10.1175/JHM-D-15-0189.1
11. Comparing the ensemble and extended Kalman filters for in situ soil moisture assimilation with contrasting conditions D. Fairbairn et al. 10.5194/hess-19-4811-2015
12. Soil moisture background error covariance and data assimilation in a coupled land-atmosphere model L. Lin et al. 10.1002/2015WR017548
13. Ground, Proximal, and Satellite Remote Sensing of Soil Moisture E. Babaeian et al. 10.1029/2018RG000618
14. New Approach for Calculating the Effective Dielectric Constant of the Moist Soil for Microwaves C. Park et al. 10.3390/rs9070732
15. Characteristics of Background Error Covariance of Soil Moisture and Atmospheric States in Strongly Coupled Land–Atmosphere Data Assimilation L. Lin & Z. Pu 10.1175/JAMC-D-18-0050.1
16. Global-scale surface roughness effects at L-band as estimated from SMOS observations M. Parrens et al. 10.1016/j.rse.2016.04.006
17. Impact of quality control of satellite soil moisture data on their assimilation into land surface model J. Yin et al. 10.1002/2014GL060659
18. Modeling soil evaporation efficiency in a range of soil and atmospheric conditions using a meta-analysis approach O. Merlin et al. 10.1002/2015WR018233
19. Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment L. Renzullo et al. 10.1016/j.jhydrol.2014.08.008
20. Considering combined or separated roughness and vegetation effects in soil moisture retrievals M. Parrens et al. 10.1016/j.jag.2016.11.001
21. Reducing multiplicative bias of satellite soil moisture retrievals K. Kornelsen & P. Coulibaly 10.1016/j.rse.2015.04.031
22. The Canadian Land Data Assimilation System (CaLDAS): Description and Synthetic Evaluation Study M. Carrera et al. 10.1175/JHM-D-14-0089.1
23. 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. 10.5194/gmd-10-3889-2017
24. Comparing the Ensemble and Extended Kalman Filters for in situ soil moisture assimilation with contrasting soil conditions D. Fairbairn et al. 10.5194/hessd-12-7353-2015
25. Suitability of modelled and remotely sensed essential climate variables for monitoring Euro-Mediterranean droughts C. Szczypta et al. 10.5194/gmdd-6-5553-2013