70 citations as recorded by crossref.

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4. Climate Sensitivities of Carbon Turnover Times in Soil and Vegetation: Understanding Their Effects on Forest Carbon Sequestration R. Ge et al. 10.1029/2020JG005880
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6. Perspectives on the Future of Land Surface Models and the Challenges of Representing Complex Terrestrial Systems R. Fisher & C. Koven 10.1029/2018MS001453
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14. Realized ecological forecast through an interactive Ecological Platform for Assimilating Data (EcoPAD, v1.0) into models Y. Huang et al. 10.5194/gmd-12-1119-2019
15. 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
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20. Attributing Past Carbon Fluxes to CO2 and Climate Change: Respiration Response to CO2 Fertilization Shifts Regional Distribution of the Carbon Sink G. Quetin et al. 10.1029/2022GB007478
21. 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
22. Carbon and Water Fluxes of the Boreal Evergreen Needleleaf Forest Biome Constrained by Assimilating Ecosystem Carbonyl Sulfide Flux Observations C. Abadie et al. 10.1029/2023JG007407
23. Using Free Air CO2 Enrichment data to constrain land surface model projections of the terrestrial carbon cycle N. Raoult et al. 10.5194/bg-21-1017-2024
24. Development of an open-source regional data assimilation system in PEcAn v. 1.7.2: application to carbon cycle reanalysis across the contiguous US using SIPNET H. Dokoohaki et al. 10.5194/gmd-15-3233-2022
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26. National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the global stocktake B. Byrne et al. 10.5194/essd-15-963-2023
27. Terrestrial carbon cycle model-data fusion: Progress and challenges X. Li et al. 10.1007/s11430-020-9800-3
28. Assessment of Daily of Reference Evapotranspiration Using CLDAS Product in Different Climate Regions of China L. Wu et al. 10.3390/w14111744
29. Using the International Tree-Ring Data Bank (ITRDB) records as century-long benchmarks for global land-surface models J. Jeong et al. 10.5194/gmd-14-5891-2021
30. A comprehensive land-surface vegetation model for multi-stream data assimilation, D&B v1.0 W. Knorr et al. 10.5194/gmd-18-2137-2025
31. Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model M. Peaucelle et al. 10.1111/geb.12937
32. Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects J. Exbrayat et al. 10.1007/s10712-019-09506-2
33. Exploring the potential of history matching for land surface model calibration N. Raoult et al. 10.5194/gmd-17-5779-2024
34. 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
35. Assimilation of river discharge in a land surface model to improve estimates of the continental water cycles F. Wang et al. 10.5194/hess-22-3863-2018
36. Using terrestrial laser scanning to constrain forest ecosystem structure and functions in the Ecosystem Demography model (ED2.2) F. Meunier et al. 10.5194/gmd-15-4783-2022
37. Effects of extreme drought events on vegetation activity from the perspectives of meteorological and soil droughts in southwestern China F. Huang et al. 10.1016/j.scitotenv.2023.166562
38. Assessing the response of forest productivity to climate extremes in Switzerland using model–data fusion V. Trotsiuk et al. 10.1111/gcb.15011
39. Plant gross primary production, plant respiration and carbonyl sulfide emissions over the globe inferred by atmospheric inverse modelling M. Remaud et al. 10.5194/acp-22-2525-2022
40. Data assimilation using an ensemble of models: a hierarchical approach P. Rayner 10.5194/acp-20-3725-2020
41. Parameter calibration and stomatal conductance formulation comparison for boreal forests with adaptive population importance sampler in the land surface model JSBACH J. Mäkelä et al. 10.5194/gmd-12-4075-2019
42. Land surface model parameter optimisation using in situ flux data: comparison of gradient-based versus random search algorithms (a case study using ORCHIDEE v1.9.5.2) V. Bastrikov et al. 10.5194/gmd-11-4739-2018
43. Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years J. Xiao et al. 10.1016/j.rse.2019.111383
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47. Assessing water and energy fluxes in a regional hydrosystem: case study of the Seine basin D. Kilic et al. 10.5802/crgeos.165
48. 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
49. Quantifying the value of surveillance data for improving model predictions of lymphatic filariasis elimination E. Michael et al. 10.1371/journal.pntd.0006674
50. Global modelling of soil carbonyl sulfide exchanges C. Abadie et al. 10.5194/bg-19-2427-2022
51. Assimilating solar-induced chlorophyll fluorescence into the terrestrial biosphere model BETHY-SCOPE v1.0: model description and information content A. Norton et al. 10.5194/gmd-11-1517-2018
52. 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
53. Assimilation of multiple datasets results in large differences in regional- to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model C. Bacour et al. 10.5194/bg-20-1089-2023
54. Evaluation and uncertainty analysis of regional-scale CLM4.5 net carbon flux estimates H. Post et al. 10.5194/bg-15-187-2018
55. Simulating the land carbon sink: Progresses and challenges of terrestrial ecosystem models W. Yuan et al. 10.1016/j.agrformet.2024.110264
56. An improved estimate of soil carbon pool and carbon fluxes in the Qinghai-Tibetan grasslands using data assimilation with an ecosystem biogeochemical model R. Zhao et al. 10.1016/j.geoderma.2022.116283
57. The EU-FP7 ERA-CLIM2 Project Contribution to Advancing Science and Production of Earth System Climate Reanalyses R. Buizza et al. 10.1175/BAMS-D-17-0199.1
58. Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO2 Flux and its Inter‐Annual Variability K. Mahmud et al. 10.1029/2021JG006400
59. Effect of Assimilating SMAP Soil Moisture on CO2 and CH4 Fluxes through Direct Insertion in a Land Surface Model Z. Zhang et al. 10.3390/rs14102405
60. Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement A. Ganesan et al. 10.1029/2018GB006065
61. Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb) B. Badawy et al. 10.5194/gmd-11-631-2018
62. Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model A. Norton et al. 10.5194/bg-16-3069-2019
63. Improving Estimates of Gross Primary Productivity by Assimilating Solar‐Induced Fluorescence Satellite Retrievals in a Terrestrial Biosphere Model Using a Process‐Based SIF Model C. Bacour et al. 10.1029/2019JG005040
64. Cutting out the middleman: calibrating and validating a dynamic vegetation model (ED2-PROSPECT5) using remotely sensed surface reflectance A. Shiklomanov et al. 10.5194/gmd-14-2603-2021
65. A triple tree-ring constraint for tree growth and physiology in a global land surface model J. Barichivich et al. 10.5194/bg-18-3781-2021
66. Modeling the Carbon Cycle of a Subtropical Chinese Fir Plantation Using a Multi-Source Data Fusion Approach L. Hu et al. 10.3390/f11040369
67. Evidence and attribution of the enhanced land carbon sink S. Ruehr et al. 10.1038/s43017-023-00456-3
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69. Constraining estimates of terrestrial carbon uptake: new opportunities using long‐term satellite observations and data assimilation W. Smith et al. 10.1111/nph.16055
70. Consistent assimilation of multiple data streams in a carbon cycle data assimilation system N. MacBean et al. 10.5194/gmd-9-3569-2016