103 citations as recorded by crossref.

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29. Reverse engineering model structures for soil and ecosystem respiration: the potential of gene expression programming I. Ilie et al. 10.5194/gmd-10-3519-2017
30. A strategy for quality and uncertainty assessment of long-term eddy-covariance measurements M. Mauder et al. 10.1016/j.agrformet.2012.09.006
31. Multiple gap-filling for eddy covariance datasets A. Lucas-Moffat et al. 10.1016/j.agrformet.2022.109114
32. Uncertainty estimates for 1-h averaged turbulence fluxes of carbon dioxide, latent heat and sensible heat D. Vickers & M. Göckede 10.1111/j.1600-0889.2009.00449.x
33. Temporal Error Correlations in a Terrestrial Carbon Cycle Model Derived by Comparison to Carbon Dioxide Eddy Covariance Flux Tower Measurements D. Wesloh et al. 10.1029/2023JG007526
34. Uncertainty analysis of forest carbon sink forecast with varying measurement errors: a data assimilation approach E. Weng et al. 10.1093/jpe/rtr018
35. Ecosystem model optimization using in situ flux observations: benefit of Monte Carlo versus variational schemes and analyses of the year-to-year model performances D. Santaren et al. 10.5194/bg-11-7137-2014
36. Joint assimilation of eddy covariance flux measurements and FAPAR products over temperate forests within a process‐oriented biosphere model C. Bacour et al. 10.1002/2015JG002966
37. A practical approach for uncertainty quantification of high‐frequency soil respiration using Forced Diffusion chambers M. Lavoie et al. 10.1002/2014JG002773
38. Assessing the Use of Sentinel-2 Data for Spatio-Temporal Upscaling of Flux Tower Gross Primary Productivity Measurements A. Spinosa et al. 10.3390/rs15030562
39. Interpretability of negative latent heat fluxes from eddy covariance measurements in dry conditions S. Paulus et al. 10.5194/bg-21-2051-2024
40. Analysis of the 21-years long carbon dioxide flux dataset from a Central European tall tower site Z. Barcza et al. 10.1016/j.agrformet.2020.108027
41. A pre-whitening with block-bootstrap cross-correlation procedure for temporal alignment of data sampled by eddy covariance systems D. Vitale et al. 10.1007/s10651-024-00615-9
42. Soil CO2 efflux errors are lognormally distributed – implications and guidance T. Wutzler et al. 10.5194/gi-9-239-2020
43. Characterizing Performance of Freshwater Wetland Methane Models Across Time Scales at FLUXNET‐CH4 Sites Using Wavelet Analyses Z. Zhang et al. 10.1029/2022JG007259
44. Regional atmospheric cooling and wetting effect of permafrost thaw‐induced boreal forest loss M. Helbig et al. 10.1111/gcb.13348
45. The REFLEX project: Comparing different algorithms and implementations for the inversion of a terrestrial ecosystem model against eddy covariance data A. Fox et al. 10.1016/j.agrformet.2009.05.002
46. A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle P. Peylin et al. 10.5194/gmd-9-3321-2016
47. Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands J. Irvin et al. 10.1016/j.agrformet.2021.108528
48. Modelling of grassland fluxes in Europe: Evaluation of two biogeochemical models R. Sándor et al. 10.1016/j.agee.2015.09.001
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50. The model–data fusion pitfall: assuming certainty in an uncertain world T. Keenan et al. 10.1007/s00442-011-2106-x
51. Close relationship between spectral vegetation indices and V_cmax in deciduous and mixed forests Y. Zhou et al. 10.3402/tellusb.v66.23279
52. Optimization of water uptake and photosynthetic parameters in an ecosystem model using tower flux data L. He et al. 10.1016/j.ecolmodel.2014.09.019
53. Spatio-Temporal Relationships between Optical Information and Carbon Fluxes in a Mediterranean Tree-Grass Ecosystem J. Pacheco-Labrador et al. 10.3390/rs9060608
54. Heterotrophic soil respiration and soil carbon dynamics in the deciduous Hainich forest obtained by three approaches W. Kutsch et al. 10.1007/s10533-010-9414-9
55. Modeling the impact of drought on canopy carbon and water fluxes for a subtropical evergreen coniferous plantation in southern China through parameter optimization using an ensemble Kalman filter W. Ju et al. 10.5194/bg-7-845-2010
56. The European carbon balance. Part 3: forests S. LUYSSAERT et al. 10.1111/j.1365-2486.2009.02056.x
57. Two for one: Partitioning CO2 fluxes and understanding the relationship between solar-induced chlorophyll fluorescence and gross primary productivity using machine learning W. Zhan et al. 10.1016/j.agrformet.2022.108980
58. Drivers of spatio-temporal variability of carbon dioxide and energy fluxes in a Mediterranean savanna ecosystem T. El-Madany et al. 10.1016/j.agrformet.2018.07.010
59. Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation G. LASSLOP et al. 10.1111/j.1365-2486.2009.02041.x
60. Estimated carbon residence times in three forest ecosystems of eastern China: Applications of probabilistic inversion L. Zhang et al. 10.1029/2009JG001004
61. Connecting dynamic vegetation models to data – an inverse perspective F. Hartig et al. 10.1111/j.1365-2699.2012.02745.x
62. 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
63. Regional inversion of CO2 ecosystem fluxes from atmospheric measurements: reliability of the uncertainty estimates G. Broquet et al. 10.5194/acp-13-9039-2013
64. The carbon balance of European croplands: A cross-site comparison of simulation models M. Wattenbach et al. 10.1016/j.agee.2010.08.004
65. Evolution and variation of atmospheric carbon dioxide concentration over terrestrial ecosystems as derived from eddy covariance measurements M. Liu et al. 10.1016/j.atmosenv.2015.05.026
66. Actual Evapotranspiration in Suli Alpine Meadow in Northeastern Edge of Qinghai-Tibet Plateau, China J. Wu et al. 10.1155/2015/593649
67. Improving land surface models with FLUXNET data M. Williams et al. 10.5194/bg-6-1341-2009
68. Comparing observations and process‐based simulations of biosphere‐atmosphere exchanges on multiple timescales M. Mahecha et al. 10.1029/2009JG001016
69. Regional-scale analysis of carbon and water cycles on managed grassland systems S. Ma et al. 10.1016/j.envsoft.2015.03.007
70. Characterizing the performance of ecosystem models across time scales: A spectral analysis of the North American Carbon Program site-level synthesis M. Dietze et al. 10.1029/2011JG001661
71. Short-term forecasting of regional biospheric CO2 fluxes in Europe using a light-use-efficiency model (VPRM, MPI-BGC version 1.2) J. Chen et al. 10.5194/gmd-13-4091-2020
72. Interactions between nocturnal turbulent flux, storage and advection at an “ideal” eucalypt woodland site I. McHugh et al. 10.5194/bg-14-3027-2017
73. Uncertainty analysis of modeled carbon fluxes for a broad-leaved Korean pine mixed forest using a process-based ecosystem model L. Zhang et al. 10.1007/s10310-011-0305-2
74. The potential benefit of using forest biomass data in addition to carbon and water flux measurements to constrain ecosystem model parameters: Case studies at two temperate forest sites T. Thum et al. 10.1016/j.agrformet.2016.12.004
75. Estimating uncertainties in individual eddy covariance flux measurements: A comparison of methods and a proposed new method D. Billesbach 10.1016/j.agrformet.2010.12.001
76. Model–data fusion approach to quantify evapotranspiration and net ecosystem exchange across the sagebrush ecosystem at different temporal resolutions B. Mitra et al. 10.1002/eco.1957
77. Time‐Scale Dependent Relations Between Earth Observation Based Proxies of Vegetation Productivity N. Linscheid et al. 10.1029/2021GL093285
78. Assessing parameter variability in a photosynthesis model within and between plant functional types using global Fluxnet eddy covariance data M. Groenendijk et al. 10.1016/j.agrformet.2010.08.013
79. Synthesis on the carbon budget and cycling in a Danish, temperate deciduous forest J. Wu et al. 10.1016/j.agrformet.2013.07.012
80. Random errors in carbon and water vapor fluxes assessed with Gaussian Processes O. Menzer et al. 10.1016/j.agrformet.2013.04.024
81. Incorporating grassland management in ORCHIDEE: model description and evaluation at 11 eddy-covariance sites in Europe J. Chang et al. 10.5194/gmd-6-2165-2013
82. Spatial representativeness and uncertainty of eddy covariance carbon flux measurements for upscaling net ecosystem productivity to the grid scale Y. Ran et al. 10.1016/j.agrformet.2016.05.008
83. Parameter and prediction uncertainty in an optimized terrestrial carbon cycle model: Effects of constraining variables and data record length D. Ricciuto et al. 10.1029/2010JG001400
84. Linking big models to big data: efficient ecosystem model calibration through Bayesian model emulation I. Fer et al. 10.5194/bg-15-5801-2018
85. Quantifying the constraint of biospheric process parameters by CO2 concentration and flux measurement networks through a carbon cycle data assimilation system E. Koffi et al. 10.5194/acp-13-10555-2013
86. Robust Inverse Modeling of Growing Season Net Ecosystem Exchange in a Mountainous Peatland: Influence of Distributional Assumptions on Estimated Parameters and Total Carbon Fluxes T. Weber et al. 10.1029/2017MS001044
87. Constraining ecosystem processes from tower fluxes and atmospheric profiles T. Hill et al. 10.1890/09-0840.1
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89. Improving North American terrestrial CO2 flux diagnosis using spatial structure in land surface model residuals T. Hilton et al. 10.5194/bg-10-4607-2013
90. Examining the role of environmental memory in the predictability of carbon and water fluxes across Australian ecosystems J. Cranko Page et al. 10.5194/bg-19-1913-2022
91. State-dependent errors in a land surface model across biomes inferred from eddy covariance observations on multiple timescales T. Wang et al. 10.1016/j.ecolmodel.2012.07.017
92. Quantifying the model structural error in carbon cycle data assimilation systems S. Kuppel et al. 10.5194/gmd-6-45-2013
93. Simulating net ecosystem exchange under seasonal snow cover at an Arctic tundra site V. Dutch et al. 10.5194/bg-21-825-2024
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