88 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. LDAS-Monde Sequential Assimilation of Satellite Derived Observations Applied to the Contiguous US: An ERA-5 Driven Reanalysis of the Land Surface Variables C. Albergel et al. 10.3390/rs10101627
3. Assimilation of Remotely Sensed Leaf Area Index into the Noah-MP Land Surface Model: Impacts on Water and Carbon Fluxes and States over the Continental United States S. Kumar et al. 10.1175/JHM-D-18-0237.1
4. Improved streamflow simulations by coupling soil moisture analytical relationship in EnKF based hydrological data assimilation framework A. Patil & R. Ramsankaran 10.1016/j.advwatres.2018.08.010
5. Towards constraining soil and vegetation dynamics in land surface models: Modeling ASCAT backscatter incidence-angle dependence with a Deep Neural Network X. Shan et al. 10.1016/j.rse.2022.113116
6. The joint assimilation of satellite observed LAI and soil moisture for the global root zone soil moisture production and its impact on land surface and ecosystem variables Y. Xu et al. 10.1016/j.agrformet.2024.110299
7. A multi-sourced assessment of the spatiotemporal dynamics of soil moisture in the MARINE flash flood model J. Eeckman et al. 10.5194/hess-25-1425-2021
8. Assimilation of vegetation optical depth retrievals from passive microwave radiometry S. Kumar et al. 10.5194/hess-24-3431-2020
9. Using Satellite-Derived Vegetation Products to Evaluate LDAS-Monde over the Euro-Mediterranean Area D. Leroux et al. 10.3390/rs10081199
10. Impacts of shifting phenology on boundary layer dynamics in North America in the CESM X. Li et al. 10.1016/j.agrformet.2022.109286
11. Watershed Modeling with Remotely Sensed Big Data: MODIS Leaf Area Index Improves Hydrology and Water Quality Predictions A. Rajib et al. 10.3390/rs12132148
12. Evaluation of root zone soil moisture products over the Huai River basin E. Liu et al. 10.5194/hess-28-2375-2024
13. Towards a Long-Term Reanalysis of Land Surface Variables over Western Africa: LDAS-Monde Applied over Burkina Faso from 2001 to 2018 M. Tall et al. 10.3390/rs11060735
14. Assimilation of Remotely Sensed LAI Into CLM4CN Using DART X. Ling et al. 10.1029/2019MS001634
15. Modeling the response of soil moisture to climate variability in the Mediterranean region L. Mimeau et al. 10.5194/hess-25-653-2021
16. Deriving surface soil moisture from reflected GNSS signal observations from a grassland site in southwestern France S. Zhang et al. 10.5194/hess-22-1931-2018
17. Assimilation of Backscatter Observations into a Hydrological Model: A Case Study in Belgium Using ASCAT Data P. Baguis et al. 10.3390/rs14225740
18. The influence of assimilating leaf area index in a land surface model on global water fluxes and storages X. Zhang et al. 10.5194/hess-24-3775-2020
19. The latest improvements with SURFEX v8.0 of the Safran–Isba–Modcou hydrometeorological model for France P. Le Moigne et al. 10.5194/gmd-13-3925-2020
20. Assimilation of Leaf Area Index and Soil Water Index from Satellite Observations in a Land Surface Model in Hungary H. Tóth & B. Szintai 10.3390/atmos12080944
21. Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in Over 700 Catchments Throughout Europe D. De Santis et al. 10.1029/2021WR029643
22. 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
23. The New Stand-Alone Surface Analysis at ECMWF: Implications for Land–Atmosphere DA Coupling D. Fairbairn et al. 10.1175/JHM-D-19-0074.1
24. River Bars and Vegetation Dynamics in Response to Upstream Damming: A Case Study of the Middle Yangtze River Y. Hu et al. 10.3390/rs15092324
25. Land surface modeling over the Dry Chaco: the impact of model structures, and soil, vegetation and land cover parameters M. Maertens et al. 10.5194/hess-25-4099-2021
26. Comparison of different sequential assimilation algorithms for satellite-derived leaf area index using the Data Assimilation Research Testbed (version Lanai) X. Ling et al. 10.5194/gmd-12-3119-2019
27. Assimilation of Remotely Sensed Leaf Area Index Enhances the Estimation of Anthropogenic Irrigation Water Use W. Nie et al. 10.1029/2022MS003040
28. Understanding terrestrial water storage variations in northern latitudes across scales T. Trautmann et al. 10.5194/hess-22-4061-2018
29. A remote sensing data fusion method for continuous daily evapotranspiration mapping at kilometric scale in Sahelian areas A. Allies et al. 10.1016/j.jhydrol.2022.127504
30. 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
31. Interannual land cover and vegetation variability based on remote sensing data in the HTESSEL land surface model: implementation and effects on simulated water dynamics F. van Oorschot et al. 10.5194/esd-14-1239-2023
32. Interannual Variations and Trends in Remotely Sensed and Modeled Soil Moisture in China B. Jia et al. 10.1175/JHM-D-18-0003.1
33. 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
34. An ensemble square root filter for the joint assimilation of surface soil moisture and leaf area index within the Land Data Assimilation System LDAS-Monde: application over the Euro-Mediterranean region B. Bonan et al. 10.5194/hess-24-325-2020
35. A Comparison of Land Surface Phenology in the Northern Hemisphere Derived from Satellite Remote Sensing and the Community Land Model X. Li et al. 10.1175/JHM-D-21-0169.1
36. Substantial uncertainties in global soil organic carbon simulated by multiple terrestrial carbon cycle models Z. Wang et al. 10.1002/ldr.4679
37. A 3 km spatially and temporally consistent European daily soil moisture reanalysis from 2000 to 2015 B. Naz et al. 10.1038/s41597-020-0450-6
38. 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
39. ERA5-Land: a state-of-the-art global reanalysis dataset for land applications J. Muñoz-Sabater et al. 10.5194/essd-13-4349-2021
40. A deep transfer learning framework for mapping high spatiotemporal resolution LAI J. Zhou et al. 10.1016/j.isprsjprs.2023.10.017
41. Spatial calibration and uncertainty reduction of the SWAT model using multiple remotely sensed data S. Lee et al. 10.1016/j.heliyon.2024.e30923
42. Data assimilation for continuous global assessment of severe conditions over terrestrial surfaces C. Albergel et al. 10.5194/hess-24-4291-2020
43. When climate variability partly compensates for groundwater depletion: An analysis of the GRACE signal in Morocco H. Ouatiki et al. 10.1016/j.ejrh.2022.101177
44. Hydrological assessment of atmospheric forcing uncertainty in the Euro-Mediterranean area using a land surface model E. Gelati et al. 10.5194/hess-22-2091-2018
45. Improving soil moisture and runoff simulations at 3 km over Europe using land surface data assimilation B. Naz et al. 10.5194/hess-23-277-2019
46. Challenges for drought assessment in the Mediterranean region under future climate scenarios Y. Tramblay et al. 10.1016/j.earscirev.2020.103348
47. Can Data Assimilation Improve Short-Term Prediction of Land Surface Variables? Y. Tian et al. 10.3390/rs14205172
48. An offline framework for high-dimensional ensemble Kalman filters to reduce the time to solution Y. Zheng et al. 10.5194/gmd-13-3607-2020
49. An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications H. Fang et al. 10.1029/2018RG000608
50. Long-Term Variation of Global GEOV2 and MODIS Leaf Area Index (LAI) and Their Uncertainties: An Insight into the Product Stabilities H. Fang et al. 10.34133/2021/9842830
51. Monitoring and Forecasting the Impact of the 2018 Summer Heatwave on Vegetation C. Albergel et al. 10.3390/rs11050520
52. Role of remotely sensed leaf area index assimilation in eco-hydrologic processes in different ecosystems over East Asia with Community Land Model version 4.5 – Biogeochemistry H. Seo & Y. Kim 10.1016/j.jhydrol.2021.125957
53. Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA O. Rojas-Munoz et al. 10.3390/rs15174329
54. Interpretation of ASCAT Radar Scatterometer Observations Over Land: A Case Study Over Southwestern France D. Shamambo et al. 10.3390/rs11232842
55. 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
56. 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
57. NCA-LDAS: Overview and Analysis of Hydrologic Trends for the National Climate Assessment M. Jasinski et al. 10.1175/JHM-D-17-0234.1
58. Long-term total water storage change from a Satellite Water Cycle reconstruction over large southern Asian basins V. Pellet et al. 10.5194/hess-24-3033-2020
59. Simultaneous Assimilation of Remotely Sensed Soil Moisture and FAPAR for Improving Terrestrial Carbon Fluxes at Multiple Sites Using CCDAS M. Wu et al. 10.3390/rs11010027
60. 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
61. A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements J. Peng et al. 10.1016/j.rse.2020.112162
62. Improved agricultural Water management in data-scarce semi-arid watersheds: Value of integrating remotely sensed leaf area index in hydrological modeling M. Paul et al. 10.1016/j.scitotenv.2021.148177
63. Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication G. De Lannoy et al. 10.3389/frwa.2022.981745
64. Assimilation of Global Satellite Leaf Area Estimates Reduces Modeled Global Carbon Uptake and Energy Loss by Terrestrial Ecosystems A. Fox et al. 10.1029/2022JG006830
65. The influence of vegetation drought stress on formaldehyde and ozone distributions over a central European city H. Trimmel et al. 10.1016/j.atmosenv.2023.119768
66. An Observation‐Driven Approach to Improve Vegetation Phenology in a Global Land Surface Model J. Kolassa et al. 10.1029/2020MS002083
67. Assessing the Decadal Predictability of Land and Ocean Carbon Uptake R. Séférian et al. 10.1002/2017GL076092
68. Monitoring Soil Moisture Drought over Northern High Latitudes from Space J. Blyverket et al. 10.3390/rs11101200
69. Local-scale evaluation of the simulated interactions between energy, water and vegetation in ISBA, ORCHIDEE and a diagnostic model J. De Pue et al. 10.5194/bg-19-4361-2022
70. Improving global gross primary productivity estimation by fusing multi-source data products Y. Zhang & A. Ye 10.1016/j.heliyon.2022.e09153
71. Assimilation of ASCAT Radar Backscatter Coefficients over Southwestern France T. Corchia et al. 10.3390/rs15174258
72. Evaluation of a Data Assimilation System for Land Surface Models Using CLM4.5 A. Fox et al. 10.1029/2018MS001362
73. A comparison of three model output statistics approaches for the bias correction of simulated soil moisture Y. Yang et al. 10.1002/met.1970
74. Improving Global Gross Primary Productivity Estimation by Fusing Multi-Source Data Products Y. Zhang & A. Ye 10.2139/ssrn.3978981
75. ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better? C. Albergel et al. 10.5194/hess-22-3515-2018
76. Towards effective drought monitoring in the Middle East and North Africa (MENA) region: implications from assimilating leaf area index and soil moisture into the Noah-MP land surface model for Morocco W. Nie et al. 10.5194/hess-26-2365-2022
77. Confronting Soil Moisture Dynamics from the ORCHIDEE Land Surface Model With the ESA-CCI Product: Perspectives for Data Assimilation N. Raoult et al. 10.3390/rs10111786
78. CrocO_v1.0: a particle filter to assimilate snowpack observations in a spatialised framework B. Cluzet et al. 10.5194/gmd-14-1595-2021
79. ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions W. Dorigo et al. 10.1016/j.rse.2017.07.001
80. Improving CLM5.0 Biomass and Carbon Exchange Across the Western United States Using a Data Assimilation System B. Raczka et al. 10.1029/2020MS002421
81. 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
82. Evaluation of an Adaptive Soil Moisture Bias Correction Approach in the ECMWF Land Data Assimilation System D. Fairbairn et al. 10.3390/rs16030493
83. Would the obtainable gross primary productivity (GPP) products stand up? A critical assessment of 45 global GPP products Y. Zhang & A. Ye 10.1016/j.scitotenv.2021.146965
84. Joint assimilation of satellite-based surface soil moisture and vegetation conditions into the Noah-MP land surface model Z. Heyvaert et al. 10.1016/j.srs.2024.100129
85. Satellite Leaf Area Index: Global Scale Analysis of the Tendencies Per Vegetation Type Over the Last 17 Years S. Munier et al. 10.3390/rs10030424
86. Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems M. Scholze et al. 10.5194/bg-14-3401-2017
87. Linkages between Rainfed Cereal Production and Agricultural Drought through Remote Sensing Indices and a Land Data Assimilation System: A Case Study in Morocco E. Bouras et al. 10.3390/rs12244018
88. 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