84 citations as recorded by crossref.

1. Land-surface parameter optimisation using data assimilation techniques: the adJULES system V1.0 N. Raoult et al.
2. Constraining a terrestrial biosphere model with remotely sensed atmospheric carbon dioxide T. Kaminski et al.
3. Toward Robust Parameterizations in Ecosystem‐Level Photosynthesis Models S. Bao et al.
4. Optimising CH4 simulations from the LPJ-GUESS model v4.1 using an adaptive Markov chain Monte Carlo algorithm J. Kallingal et al.
5. Age‐dependent forest carbon sink: Estimation via inverse modeling T. Zhou et al.
6. Parameterization and sensitivity analysis of a process‐based terrestrial ecosystem model using adjoint method Q. Zhu & Q. Zhuang
7. Contrasting responses of grassland water and carbon exchanges to climate change between Tibetan Plateau and Inner Mongolia D. Liu et al.
8. Evaluation and uncertainty analysis of regional-scale CLM4.5 net carbon flux estimates H. Post et al.
9. Spatial biases reduce the ability of Earth system models to simulate soil heterotrophic respiration fluxes B. Guenet et al.
10. Ecosystem biogeochemistry model parameterization: Do more flux data result in a better model in predicting carbon flux? Q. Zhu & Q. Zhuang
11. Evaluating the potential of large-scale simulations to predict carbon fluxes of terrestrial ecosystems over a European Eddy Covariance network M. Balzarolo et al.
12. Exploring a hybrid ensemble–variational data assimilation technique (4DEnVar) with a simple ecosystem carbon model N. Douglas et al.
13. Suitability of modelled and remotely sensed essential climate variables for monitoring Euro-Mediterranean droughts C. Szczypta et al.
14. 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.
15. The comparison between single-point method and footprint-integrated validation method of the remote-sensing retrieval of evapotranspiration: a case study at Daman site Y. Zhou et al.
16. Terrestrial CO2 exchange diagnosis using a peatland-optimized vegetation photosynthesis and respiration model (VPRM) for the Hudson Bay Lowlands O. Balogun et al.
17. Improving North American terrestrial CO2 flux diagnosis using spatial structure in land surface model residuals T. Hilton et al.
18. Global sensitivity analysis, probabilistic calibration, and predictive assessment for the data assimilation linked ecosystem carbon model C. Safta et al.
19. Improving predictions of soil heterotrophic respiration: A parameter-optimized microbial model for alpine meadows in the three-river source region, Qinghai-Tibet plateau Y. Lu et al.
20. A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle P. Peylin et al.
21. A new approach to optimal discretization of plant functional types in a process‐based ecosystem model with forest management: a case study for temperate conifers M. Peaucelle et al.
22. 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.
23. Observation and integrated Earth-system science: A roadmap for 2016–2025 A. Simmons et al.
24. Ideas and perspectives: Beyond model evaluation – combining experiments and models to advance terrestrial ecosystem science S. Caldararu et al.
25. Bayesian integration of flux tower data into a process-based simulator for quantifying uncertainty in simulated output R. Raj et al.
26. Strong constraint on modelled global carbon uptake using solar-induced chlorophyll fluorescence data N. MacBean et al.
27. Assimilation of NEON Observations Into a Process‐Based Carbon Cycle Model Reveals Divergent Mechanisms of Carbon Dynamics in Temperate Deciduous Forests C. Jung & O. Hararuk
28. Assessing nitrogen controls on carbon, water and energy exchanges in major plant functional types across North America using a carbon and nitrogen coupled ecosystem model S. Huang et al.
29. Quantifying the model structural error in carbon cycle data assimilation systems S. Kuppel et al.
30. 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.
31. Assimilating multi-site eddy-covariance data to calibrate the wetland CH4 emission module in a terrestrial ecosystem model J. Kallingal et al.
32. The value of soil respiration measurements for interpreting and modeling terrestrial carbon cycling C. Phillips et al.
33. Greenhouse gas observation network design for Africa A. Nickless et al.
34. Parameter uncertainty dominates C-cycle forecast errors over most of Brazil for the 21st century T. Smallman et al.
35. Assimilation of river discharge in a land surface model to improve estimates of the continental water cycles F. Wang et al.
36. Potential of MODIS data to track the variability in ecosystem water-use efficiency of temperate deciduous forests X. Tang et al.
37. A novel approach for ecosystem respiration simulation in drylands J. Ai et al.
38. Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al.
39. Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0 G. Schürmann et al.
40. Assimilation of repeated woody biomass observations constrains decadal ecosystem carbon cycle uncertainty in aggrading forests T. Smallman et al.
41. 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.
42. Separation of the Effects of Land and Climate Model Errors on Simulated Contemporary Land Carbon Cycle Trends in the MPI Earth System Model version 1* D. Dalmonech et al.
43. Models ignoring spatial heterogeneities of forest age will significantly overestimate the climate effects on litterfall in China X. Liu et al.
44. Nonsteady state carbon sequestration in forest ecosystems of China estimated by data assimilation T. Zhou et al.
45. 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.
46. Using SMOS soil moisture data combining CO2 flask samples to constrain carbon fluxes during 2010–2015 within a Carbon Cycle Data Assimilation System (CCDAS) M. Wu et al.
47. Simulated effects of canopy structural complexity on forest productivity M. Toda et al.
48. Simultaneous Assimilation of Remotely Sensed Soil Moisture and FAPAR for Improving Terrestrial Carbon Fluxes at Multiple Sites Using CCDAS M. Wu et al.
49. Precipitation amount, seasonality and frequency regulate carbon cycling of a semi-arid grassland ecosystem in Inner Mongolia, China: A modeling analysis S. Peng et al.
50. From Ecosystem Observation to Environmental Decision-Making: Model-Data Fusion as an Operational Tool T. Smallman et al.
51. Modeling phenological controls on carbon dynamics in dryland sagebrush ecosystems K. Renwick et al.
52. Exploring the potential of history matching for land surface model calibration N. Raoult et al.
53. Towards the assimilation of atmospheric CO2 concentration data in a land surface model using adjoint-free variational methods S. Beylat et al.
54. Improving the global MODIS GPP model by optimizing parameters with FLUXNET data X. Huang et al.
55. Carbonyl sulfide: comparing a mechanistic representation of the vegetation uptake in a land surface model and the leaf relative uptake approach F. Maignan et al.
56. A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) B. Qu et al.
57. Uncertainty analysis of eddy covariance CO2 flux measurements for different EC tower distances using an extended two-tower approach H. Post et al.
58. Variation of parameters in a Flux-Based Ecosystem Model across 12 sites of terrestrial ecosystems in the conterminous USA Q. Li et al.
59. 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.
60. The role of data assimilation in predictive ecology S. Niu et al.
61. Variational assimilation of land surface temperature within the ORCHIDEE Land Surface Model Version 1.2.6 H. Benavides Pinjosovsky et al.
62. Improving modelled albedo over the Greenland ice sheet through parameter optimisation and MODIS snow albedo retrievals N. Raoult et al.
63. Using Free Air CO2 Enrichment data to constrain land surface model projections of the terrestrial carbon cycle N. Raoult et al.
64. Plant gross primary production, plant respiration and carbonyl sulfide emissions over the globe inferred by atmospheric inverse modelling M. Remaud et al.
65. 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.
66. Performance of the ecosystem demography model (EDv2.2) in simulating gross primary production capacity and activity in a dryland study area H. Dashti et al.
67. Evaluation of root water uptake in the ISBA-A-gs land surface model using agricultural yield statistics over France N. Canal et al.
68. Description and validation of an intermediate complexity model for ecosystem photosynthesis and evapotranspiration: ACM-GPP-ETv1 T. Smallman & M. Williams
69. Model–data fusion across ecosystems: from multisite optimizations to global simulations S. Kuppel et al.
70. Identifying environmental controls on vegetation greenness phenology through model–data integration M. Forkel et al.
71. Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems M. Scholze et al.
72. Assimilating Sentinel-2 data in a modified vegetation photosynthesis and respiration model (VPRM) to improve the simulation of croplands CO2 fluxes in Europe H. Bazzi et al.
73. Assimilating ESA CCI land surface temperature into the ORCHIDEE land surface model: insights from a multi-site study across Europe L. Olivera-Guerra et al.
74. Local-scale evaluation of the simulated interactions between energy, water and vegetation in ISBA, ORCHIDEE and a diagnostic model J. De Pue et al.
75. Photosynthetic phenological variation may promote coexistence among co-dominant tree species in a Madrean sky island mixed conifer forest D. Potts et al.
76. Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model M. Peaucelle et al.
77. Using satellite data to improve the leaf phenology of a global terrestrial biosphere model N. MacBean et al.
78. Global Sensitivity Analysis of the Historical Carbon Sink across Biomes R. Deepak et al.
79. Simulating canopy carbonyl sulfide uptake of two forest stands through an improved ecosystem model and parameter optimization using an ensemble Kalman filter B. Chen et al.
80. Bayesian inversions of a dynamic vegetation model at four European grassland sites J. Minet et al.
81. Joint assimilation of eddy covariance flux measurements and FAPAR products over temperate forests within a process‐oriented biosphere model C. Bacour et al.
82. 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.
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. Unravelling the Effects of Tree-Size and Canopy Structural Complexity on Forest Productivity M. Toda et al.