30 citations as recorded by crossref.

1. Assimilation of passive microwave vegetation optical depth in LDAS-Monde: a case study over the continental USA A. Mucia et al. 10.5194/bg-19-2557-2022
2. Field scale computer modeling of soil moisture with dynamic nudging assimilation algorithm O. Kozhushko et al. 10.23939/mmc2022.02.203
3. Improving CLM5.0 Biomass and Carbon Exchange Across the Western United States Using a Data Assimilation System B. Raczka et al. 10.1029/2020MS002421
4. Assimilation of Remotely Sensed Leaf Area Index for Improving Land Surface Simulation Performance at a Global Scale X. Ling et al. 10.1109/JSTARS.2024.3388006
5. Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA O. Rojas-Munoz et al. 10.3390/rs15174329
6. Assimilating ASCAT normalized backscatter and slope into the land surface model ISBA-A-gs using a Deep Neural Network as the observation operator: Case studies at ISMN stations in western Europe X. Shan et al. 10.1016/j.rse.2024.114167
7. Towards unified land data assimilation at ECMWF: Soil and snow temperature analysis in the SEKF C. Herbert et al. 10.1002/qj.4808
8. Reconciling plant water stress response using vegetation and soil moisture data assimilation for vegetation-soil-hydrology interaction estimation over the Chinese Loess Plateau Z. Shu et al. 10.1016/j.agrformet.2025.110581
9. Assimilation of NDVI data in a land surface – Vegetation model for leaf area index predictions in a tree-grass ecosystem N. Montaldo et al. 10.1080/17538947.2023.2259226
10. An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space S. Kumar et al. 10.1029/2022MS003259
11. The Joint Assimilation of Remotely Sensed Leaf Area Index and Surface Soil Moisture into a Land Surface Model A. Rahman et al. 10.3390/rs14030437
12. Simulating carbon and water fluxes using a coupled process-based terrestrial biosphere model and joint assimilation of leaf area index and surface soil moisture S. Li et al. 10.5194/hess-26-6311-2022
13. Assimilation of ASCAT Radar Backscatter Coefficients over Southwestern France T. Corchia et al. 10.3390/rs15174258
14. Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies With the ORCHIDEE Terrestrial Biosphere Model N. MacBean et al. 10.1029/2021GB007177
15. Multivariate assimilation of satellite-based leaf area index and ground-based river streamflow for hydrological modelling of irrigated watersheds using SWAT+ O. Mohammadi Igder et al. 10.1016/j.jhydrol.2022.128012
16. Overview towards improved understanding of the mechanisms leading to heavy precipitation in the western Mediterranean: lessons learned from HyMeX S. Khodayar et al. 10.5194/acp-21-17051-2021
17. Impact of leaf area index assimilation and gauge-corrected precipitation on land surface variables in LDAS-Monde: a case study over China E. Liu et al. 10.1016/j.jhydrol.2025.133304
18. Improving Dynamic Vegetation Modeling in Noah‐MP by Parameter Optimization and Data Assimilation Over China's Loess Plateau Z. Shu et al. 10.1029/2022JD036703
19. Implementation of a new crop phenology and irrigation scheme in the ISBA land surface model using SURFEX_v8.1 A. Druel et al. 10.5194/gmd-15-8453-2022
20. Evapotranspiration over Land from a Boundary-Layer Meteorology Perspective J. Cuxart & A. Boone 10.1007/s10546-020-00550-9
21. From Monitoring to Forecasting Land Surface Conditions Using a Land Data Assimilation System: Application over the Contiguous United States A. Mucia et al. 10.3390/rs12122020
22. Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe S. Scherrer et al. 10.5194/hess-27-4087-2023
23. Nonstationarity in the global terrestrial water cycle and its interlinkages in the Anthropocene W. Nie et al. 10.1073/pnas.2403707121
24. Evaluation of root zone soil moisture products over the Huai River basin E. Liu et al. 10.5194/hess-28-2375-2024
25. Data assimilation for continuous global assessment of severe conditions over terrestrial surfaces C. Albergel et al. 10.5194/hess-24-4291-2020
26. Toward Discharge Estimation for Water Resources Management with a Semidistributed Model and Local Ensemble Kalman Filter Data Assimilation S. Wongchuig et al. 10.1061/(ASCE)HE.1943-5584.0002027
27. Multiscale Assimilation of Sentinel and Landsat Data for Soil Moisture and Leaf Area Index Predictions Using an Ensemble-Kalman-Filter-Based Assimilation Approach in a Heterogeneous Ecosystem N. Montaldo et al. 10.3390/rs14143458
28. Challenges for drought assessment in the Mediterranean region under future climate scenarios Y. Tramblay et al. 10.1016/j.earscirev.2020.103348
29. An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US J. Blyverket et al. 10.3390/rs11050478
30. Global Assimilation of Remotely Sensed Leaf Area Index: The Impact of Updating More State Variables Within a Land Surface Model A. Rahman et al. 10.3389/frwa.2021.789352