93 citations as recorded by crossref.

1. Lengthening vegetation carbon turnover time across China’s forests R. Ge et al.
2. A Coupled Model of Hydraulic Eco‐Physiology and Cambial Growth — Accounting for Biophysical Limitations and Phenology Improves Stem Diameter Prediction at High Temporal Resolution C. Liu et al.
3. Improved process representation of leaf phenology significantly shifts climate sensitivity of ecosystem carbon balance A. Norton et al.
4. Evaluating carbon and water fluxes and stocks in Brazil under changing climate and refined regional scenarios for changes in land use A. Castro et al.
5. Reanalysis in Earth System Science: Toward Terrestrial Ecosystem Reanalysis R. Baatz et al.
6. Combining Process Modelling and LAI Observations to Diagnose Winter Wheat Nitrogen Status and Forecast Yield A. Revill et al.
7. Evaluation of CMIP5 Earth System Models for the Spatial Patterns of Biomass and Soil Carbon Turnover Times and Their Linkage with Climate D. Wu et al.
8. Fire decline in dry tropical ecosystems enhances decadal land carbon sink Y. Yin et al.
9. Rainfall erosion of mountain environment and people flow planning of Leshan giant Buddha site based on big data GIS B. Zhu & J. Zhou
10. Constraining DALECv2 using multiple data streams and ecological constraints: analysis and application S. Delahaies et al.
11. Reliability ensemble averaging of 21st century projections of terrestrial net primary productivity reduces global and regional uncertainties J. Exbrayat et al.
12. Simulation, calibration and validation protocols for the model 3D-CMCC-CNR-FEM: a case study in the Bonis’ watershed (Calabria, Italy) A. Collalti et al.
13. Environment-sensitivity functions for gross primary productivity in light use efficiency models S. Bao et al.
14. Plant Traits are Key Determinants in Buffering the Meteorological Sensitivity of Net Carbon Exchanges of Arctic Tundra E. López‐Blanco et al.
15. Forecasting Responses of a Northern Peatland Carbon Cycle to Elevated CO2 and a Gradient of Experimental Warming J. Jiang et al.
16. Dominant regions and drivers of the variability of the global land carbon sink across timescales X. Zhang et al.
17. Biogeographic pattern of living vegetation carbon turnover time in mature forests across continents K. Yu et al.
18. A comprehensive land-surface vegetation model for multi-stream data assimilation, D&B v1.0 W. Knorr et al.
19. Global Carbon Budget 2023 P. Friedlingstein et al.
20. Global evaluation of gross primary productivity in the JULES land surface model v3.4.1 D. Slevin et al.
21. Optimizing the Isoprene Emission Model MEGAN With Satellite and Ground‐Based Observational Constraints C. DiMaria et al.
22. Combining European Earth Observation products with Dynamic Global Vegetation Models for estimating Essential Biodiversity Variables M. Dantas de Paula et al.
23. Reduced spatial heterogeneity of day-night temperature variability difference under global changes F. Liu et al.
24. Unrevealing site-dependent relationship between solar-induced chlorophyll fluorescence and gross primary productivity using the terrestrial ecosystem carbon cycle simulator H. Liu et al.
25. Evaluation of a Data Assimilation System for Land Surface Models Using CLM4.5 A. Fox et al.
26. Parameterizing Lognormal state space models using moment matching J. Smith et al.
27. Synthesis of the land carbon fluxes of the Amazon region between 2010 and 2020 T. Rosan et al.
28. Accelerating rates of Arctic carbon cycling revealed by long-term atmospheric CO 2 measurements S. Jeong et al.
29. Global satellite-driven estimates of heterotrophic respiration A. Konings et al.
30. Assessing Ecosystem State Space Models: Identifiability and Estimation J. Smith et al.
31. Evaluation of terrestrial pan-Arctic carbon cycling using a data-assimilation system E. López-Blanco et al.
32. Modeling the Carbon Cycle of a Subtropical Chinese Fir Plantation Using a Multi-Source Data Fusion Approach L. Hu et al.
33. Carbon Stocks and Fluxes in Kenyan Forests and Wooded Grasslands Derived from Earth Observation and Model-Data Fusion P. Rodríguez-Veiga et al.
34. Underestimated ecosystem carbon turnover time and sequestration under the steady state assumption: A perspective from long‐term data assimilation R. Ge et al.
35. Quantifying the UK's carbon dioxide flux: an atmospheric inverse modelling approach using a regional measurement network E. White et al.
36. Reduced biomass burning emissions reconcile conflicting estimates of the post-2006 atmospheric methane budget J. Worden et al.
37. Inverse Determination of the Influence of Fire on Vegetation Carbon Turnover in the Pantropics J. Exbrayat et al.
38. Assimilation of repeated woody biomass observations constrains decadal ecosystem carbon cycle uncertainty in aggrading forests T. Smallman et al.
39. A mid‐century ecological forecast with partitioned uncertainty predicts increases in loblolly pine forest productivity R. Thomas et al.
40. The Land Variational Ensemble Data Assimilation Framework: LAVENDAR v1.0.0 E. Pinnington et al.
41. Parameter uncertainty dominates C-cycle forecast errors over most of Brazil for the 21st century T. Smallman et al.
42. The value of soil respiration measurements for interpreting and modeling terrestrial carbon cycling C. Phillips et al.
43. Understanding the effect of disturbance from selective felling on the carbon dynamics of a managed woodland by combining observations with model predictions E. Pinnington et al.
44. New constraints on biogenic emissions using satellite-based estimates of carbon monoxide fluxes H. Worden et al.
45. A global wetland methane emissions and uncertainty dataset for atmospheric chemical transport models (WetCHARTs version 1.0) A. Bloom et al.
46. Predicting spring phenology in deciduous broadleaf forests: NEON phenology forecasting community challenge K. Wheeler et al.
47. Examining Interactions Between and Among Predictors of Net Ecosystem Exchange: A Machine Learning Approach in a Semi-arid Landscape Q. Zhou et al.
48. Conditional interval reduction method: A possible new direction for the optimization of process based models R. Hollós et al.
49. The carbon budget of the managed grasslands of Great Britain – informed by earth observations V. Myrgiotis et al.
50. Response and biophysical regulation of carbon dioxide fluxes to climate variability and anomaly in contrasting ecosystems in northwestern Ohio, USA H. Chu et al.
51. Global Carbon Budget 2024 P. Friedlingstein et al.
52. Precipitation–fire functional interactions control biomass stocks and carbon exchanges across the world's largest savanna M. Williams et al.
53. Investigating the role of prior and observation error correlations in improving a model forecast of forest carbon balance using Four-dimensional Variational data assimilation E. Pinnington et al.
54. Impacts of reduced model complexity and driver resolution on cropland ecosystem photosynthesis estimates A. Revill et al.
55. Scale variance in the carbon dynamics of fragmented, mixed-use landscapes estimated using model–data fusion D. Milodowski et al.
56. Reference carbon cycle dataset for typical Chinese forests via colocated observations and data assimilation H. He et al.
57. Lagged effects regulate the inter-annual variability of the tropical carbon balance A. Bloom et al.
58. Simultaneous state-parameter estimation supports the evaluation of data assimilation performance and measurement design for soil-water-atmosphere-plant system S. Hu et al.
59. GOLUM-CNP v1.0: a data-driven modeling of carbon, nitrogen and phosphorus cycles in major terrestrial biomes Y. Wang et al.
60. Climate Sensitivities of Carbon Turnover Times in Soil and Vegetation: Understanding Their Effects on Forest Carbon Sequestration R. Ge et al.
61. Predicting the abatement rates of soil organic carbon sequestration management in Western European vineyards using random forest regression F. Payen et al.
62. A model-data fusion approach to analyse carbon dynamics in managed grasslands V. Myrgiotis et al.
63. Inferring management and predicting sub-field scale C dynamics in UK grasslands using biogeochemical modelling and satellite-derived leaf area data V. Myrgiotis et al.
64. Resolving temperature limitation on spring productivity in an evergreen conifer forest using a model–data fusion framework S. Stettz et al.
65. Plant Water Uptake Thresholds Inferred From Satellite Soil Moisture M. Bassiouni et al.
66. Predicting lymphatic filariasis elimination in data-limited settings: A reconstructive computational framework for combining data generation and model discovery M. Smith et al.
67. From Ecosystem Observation to Environmental Decision-Making: Model-Data Fusion as an Operational Tool T. Smallman et al.
68. Toward Robust Parameterizations in Ecosystem‐Level Photosynthesis Models S. Bao et al.
69. Isolating the effects of land use and functional variation on Yucatán's forest biomass under global change S. George-Chacon et al.
70. Assimilation of Remotely Sensed LAI Into CLM4CN Using DART X. Ling et al.
71. Carbon Flux Variability From a Relatively Simple Ecosystem Model With Assimilated Data Is Consistent With Terrestrial Biosphere Model Estimates G. Quetin et al.
72. Detection of hidden model errors by combining single and multi-criteria calibration T. Houska et al.
73. The importance of physiological, structural and trait responses to drought stress in driving spatial and temporal variation in GPP across Amazon forests S. Flack-Prain et al.
74. CARDAMOM-FluxVal version 1.0: a FLUXNET-based validation system for CARDAMOM carbon and water flux estimates Y. Yang et al.
75. A long-term reconstruction of a global photosynthesis proxy over 1982–2023 J. Fang et al.
76. Spring photosynthetic onset and net CO2 uptake in Alaska triggered by landscape thawing N. Parazoo et al.
77. Greening of a boreal rich fen driven by CO2 fertilisation S. Thayamkottu et al.
78. Determination of Region of Influence Obtained by Aircraft Vertical Profiles Using the Density of Trajectories from the HYSPLIT Model H. Cassol et al.
79. The decadal state of the terrestrial carbon cycle: Global retrievals of terrestrial carbon allocation, pools, and residence times A. Bloom et al.
80. Across‐model spread and shrinking in predicting peatland carbon dynamics under global change E. Hou et al.
81. Hyperspectral surface reflectance improves GPP estimation in terrestrial biosphere modeling using model-data fusion H. Liu et al.
82. Water Stress Dominates 21st‐Century Tropical Land Carbon Uptake P. Levine et al.
83. 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.
84. Leveraging 35 years of Pinus taeda research in the southeastern US to constrain forest carbon cycle predictions: regional data assimilation using ecosystem experiments R. Thomas et al.
85. Consistent assimilation of multiple data streams in a carbon cycle data assimilation system N. MacBean et al.
86. Evaluating two land surface models for Brazil using a full carbon cycle benchmark with uncertainties A. Caen et al.
87. Challenges in Scaling Up Greenhouse Gas Fluxes: Experience From the UK Greenhouse Gas Emissions and Feedbacks Program P. Levy et al.
88. Constraining a complex biogeochemical model for CO2 and N2O emission simulations from various land uses by model–data fusion T. Houska et al.
89. 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.
90. 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.
91. Description and validation of an intermediate complexity model for ecosystem photosynthesis and evapotranspiration: ACM-GPP-ETv1 T. Smallman & M. Williams
92. Optimal model complexity for terrestrial carbon cycle prediction C. Famiglietti et al.
93. A decrease in the age of respired carbon from the terrestrial biosphere and increase in the asymmetry of its distribution C. Sierra et al.