92 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.
2. Improved streamflow simulations by coupling soil moisture analytical relationship in EnKF based hydrological data assimilation framework A. Patil & R. Ramsankaran
3. Assimilation of vegetation optical depth retrievals from passive microwave radiometry S. Kumar et al.
4. Impacts of shifting phenology on boundary layer dynamics in North America in the CESM X. Li et al.
5. Deriving surface soil moisture from reflected GNSS signal observations from a grassland site in southwestern France S. Zhang et al.
6. Assimilation of Leaf Area Index and Soil Water Index from Satellite Observations in a Land Surface Model in Hungary H. Tóth & B. Szintai
7. 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.
8. The New Stand-Alone Surface Analysis at ECMWF: Implications for Land–Atmosphere DA Coupling D. Fairbairn et al.
9. River Bars and Vegetation Dynamics in Response to Upstream Damming: A Case Study of the Middle Yangtze River Y. Hu et al.
10. Land surface modeling over the Dry Chaco: the impact of model structures, and soil, vegetation and land cover parameters M. Maertens et al.
11. Assimilation of Remotely Sensed Leaf Area Index Enhances the Estimation of Anthropogenic Irrigation Water Use W. Nie et al.
12. A remote sensing data fusion method for continuous daily evapotranspiration mapping at kilometric scale in Sahelian areas A. Allies et al.
13. 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.
14. Interannual Variations and Trends in Remotely Sensed and Modeled Soil Moisture in China B. Jia et al.
15. Substantial uncertainties in global soil organic carbon simulated by multiple terrestrial carbon cycle models Z. Wang et al.
16. A review of current best practices and future directions in assimilating GRACE/-FO terrestrial water storage data into numerical models A. Springer et al.
17. A 3 km spatially and temporally consistent European daily soil moisture reanalysis from 2000 to 2015 B. Naz et al.
18. ERA5-Land: a state-of-the-art global reanalysis dataset for land applications J. Muñoz-Sabater et al.
19. When climate variability partly compensates for groundwater depletion: An analysis of the GRACE signal in Morocco H. Ouatiki et al.
20. Hydrological assessment of atmospheric forcing uncertainty in the Euro-Mediterranean area using a land surface model E. Gelati et al.
21. Deriving Gridded Soil Moisture Estimates Using Earth Observation Data and a Process Informed Statistical Machine Learning Approach R. Fealy et al.
22. An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications H. Fang et al.
23. 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
24. Interpretation of ASCAT Radar Scatterometer Observations Over Land: A Case Study Over Southwestern France D. Shamambo et al.
25. Improving Dynamic Vegetation Modeling in Noah‐MP by Parameter Optimization and Data Assimilation Over China's Loess Plateau Z. Shu et al.
26. An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space S. Kumar et al.
27. An Observation‐Driven Approach to Improve Vegetation Phenology in a Global Land Surface Model J. Kolassa et al.
28. Joint assimilation of satellite soil moisture and vegetation conditions improves estimates of gross primary production and evapotranspiration over South Asia A. Chakraborty & M. Saharia
29. Development of Surface Data Assimilation Using Simplified Extended Kalman Filter in AROME Model in Hungary H. Tóth et al.
30. Assimilation of ASCAT Radar Backscatter Coefficients over Southwestern France T. Corchia et al.
31. A comparison of three model output statistics approaches for the bias correction of simulated soil moisture Y. Yang et al.
32. Improving Global Gross Primary Productivity Estimation by Fusing Multi-Source Data Products Y. Zhang & A. Ye
33. 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.
34. Confronting Soil Moisture Dynamics from the ORCHIDEE Land Surface Model With the ESA-CCI Product: Perspectives for Data Assimilation N. Raoult et al.
35. Improving CLM5.0 Biomass and Carbon Exchange Across the Western United States Using a Data Assimilation System B. Raczka et al.
36. Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe S. Scherrer et al.
37. Joint assimilation of satellite-based surface soil moisture and vegetation conditions into the Noah-MP land surface model Z. Heyvaert et al.
38. 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.
39. 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.
40. 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.
41. 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.
42. A multi-sourced assessment of the spatiotemporal dynamics of soil moisture in the MARINE flash flood model J. Eeckman et al.
43. Using Satellite-Derived Vegetation Products to Evaluate LDAS-Monde over the Euro-Mediterranean Area D. Leroux et al.
44. Watershed Modeling with Remotely Sensed Big Data: MODIS Leaf Area Index Improves Hydrology and Water Quality Predictions A. Rajib et al.
45. Evaluation of root zone soil moisture products over the Huai River basin E. Liu et al.
46. 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.
47. Assimilation of Remotely Sensed LAI Into CLM4CN Using DART X. Ling et al.
48. Modeling the response of soil moisture to climate variability in the Mediterranean region L. Mimeau et al.
49. Assimilation of Backscatter Observations into a Hydrological Model: A Case Study in Belgium Using ASCAT Data P. Baguis et al.
50. The influence of assimilating leaf area index in a land surface model on global water fluxes and storages X. Zhang et al.
51. The latest improvements with SURFEX v8.0 of the Safran–Isba–Modcou hydrometeorological model for France P. Le Moigne et al.
52. Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in Over 700 Catchments Throughout Europe D. De Santis et al.
53. 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.
54. Comparison of different sequential assimilation algorithms for satellite-derived leaf area index using the Data Assimilation Research Testbed (version Lanai) X. Ling et al.
55. Understanding terrestrial water storage variations in northern latitudes across scales T. Trautmann et al.
56. 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.
57. 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.
58. 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.
59. A Comparison of Land Surface Phenology in the Northern Hemisphere Derived from Satellite Remote Sensing and the Community Land Model X. Li et al.
60. From Monitoring to Forecasting Land Surface Conditions Using a Land Data Assimilation System: Application over the Contiguous United States A. Mucia et al.
61. A deep transfer learning framework for mapping high spatiotemporal resolution LAI J. Zhou et al.
62. Spatial calibration and uncertainty reduction of the SWAT model using multiple remotely sensed data S. Lee et al.
63. Data assimilation for continuous global assessment of severe conditions over terrestrial surfaces C. Albergel et al.
64. Improving soil moisture and runoff simulations at 3 km over Europe using land surface data assimilation B. Naz et al.
65. Challenges for drought assessment in the Mediterranean region under future climate scenarios Y. Tramblay et al.
66. Can Data Assimilation Improve Short-Term Prediction of Land Surface Variables? Y. Tian et al.
67. An offline framework for high-dimensional ensemble Kalman filters to reduce the time to solution Y. Zheng et al.
68. The Impact of Spatial Dynamic Error on the Assimilation of Soil Moisture Retrieval Products X. Bai et al.
69. 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.
70. Monitoring and Forecasting the Impact of the 2018 Summer Heatwave on Vegetation C. Albergel et al.
71. Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA O. Rojas-Munoz et al.
72. 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.
73. NCA-LDAS: Overview and Analysis of Hydrologic Trends for the National Climate Assessment M. Jasinski et al.
74. Long-term total water storage change from a Satellite Water Cycle reconstruction over large southern Asian basins V. Pellet et al.
75. Simultaneous Assimilation of Remotely Sensed Soil Moisture and FAPAR for Improving Terrestrial Carbon Fluxes at Multiple Sites Using CCDAS M. Wu et al.
76. Assimilation of Remotely Sensed Leaf Area Index for Improving Land Surface Simulation Performance at a Global Scale X. Ling et al.
77. A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements J. Peng et al.
78. 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.
79. 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.
80. Assimilation of Global Satellite Leaf Area Estimates Reduces Modeled Global Carbon Uptake and Energy Loss by Terrestrial Ecosystems A. Fox et al.
81. The influence of vegetation drought stress on formaldehyde and ozone distributions over a central European city H. Trimmel et al.
82. 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.
83. Assessing the Decadal Predictability of Land and Ocean Carbon Uptake R. Séférian et al.
84. Monitoring Soil Moisture Drought over Northern High Latitudes from Space J. Blyverket et al.
85. Local-scale evaluation of the simulated interactions between energy, water and vegetation in ISBA, ORCHIDEE and a diagnostic model J. De Pue et al.
86. Improving global gross primary productivity estimation by fusing multi-source data products Y. Zhang & A. Ye
87. Evaluation of a Data Assimilation System for Land Surface Models Using CLM4.5 A. Fox et al.
88. ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better? C. Albergel et al.
89. CrocO_v1.0: a particle filter to assimilate snowpack observations in a spatialised framework B. Cluzet et al.
90. ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions W. Dorigo et al.
91. Evaluation of an Adaptive Soil Moisture Bias Correction Approach in the ECMWF Land Data Assimilation System D. Fairbairn et al.
92. Would the obtainable gross primary productivity (GPP) products stand up? A critical assessment of 45 global GPP products Y. Zhang & A. Ye