42 citations as recorded by crossref.

1. Optimal model complexity for terrestrial carbon cycle prediction C. Famiglietti et al. 10.5194/bg-18-2727-2021
2. Process refinement contributed more than parameter optimization to improve the CoLM's performance in simulating the carbon and water fluxes in a grassland Y. Li et al. 10.1016/j.agrformet.2020.108067
3. Identifying Sensitive Model Parameter Combinations for Uncertainties in Land Surface Process Simulations over the Tibetan Plateau F. Peng & G. Sun 10.3390/w11081724
4. 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. 10.1029/2021GB007177
5. 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. 10.1016/j.rse.2020.111719
6. 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
7. A framework for improved predictions of the climate impacts on potential yields of UK winter wheat and its applicability to other UK crops G. Hayman et al. 10.1016/j.cliser.2024.100479
8. Multi‐Objective Adaptive Surrogate Modeling‐Based Optimization for Distributed Environmental Models Based on Grid Sampling R. Sun et al. 10.1029/2020WR028740
9. Combining local model calibration with the emergent constraint approach to reduce uncertainty in the tropical land carbon cycle feedback N. Raoult et al. 10.5194/esd-14-723-2023
10. Consistent assimilation of multiple data streams in a carbon cycle data assimilation system N. MacBean et al. 10.5194/gmd-9-3569-2016
11. 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. 10.5194/hess-29-261-2025
12. Description and validation of an intermediate complexity model for ecosystem photosynthesis and evapotranspiration: ACM-GPP-ETv1 T. Smallman & M. Williams 10.5194/gmd-12-2227-2019
13. Constraining a terrestrial biosphere model with remotely sensed atmospheric carbon dioxide T. Kaminski et al. 10.1016/j.rse.2017.08.017
14. Uncertainty Quantification for the Noah‐MP Land Surface Model: A Case Study in a Grassland and Sandy Soil Region H. Wang et al. 10.1029/2023JD038556
15. Ozone deposition impact assessments for forest canopies require accurate ozone flux partitioning on diurnal timescales A. Visser et al. 10.5194/acp-21-18393-2021
16. 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
17. Reducing the uncertainty of parameters controlling seasonal carbon and water fluxes in Chinese forests and its implication for simulated climate sensitivities Y. Li et al. 10.1002/2017GB005714
18. 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
19. Development of an ecophysiology module in the GEOS-Chem chemical transport model version 12.2.0 to represent biosphere–atmosphere fluxes relevant for ozone air quality J. Lam et al. 10.5194/gmd-16-2323-2023
20. The Land Variational Ensemble Data Assimilation Framework: LAVENDAR v1.0.0 E. Pinnington et al. 10.5194/gmd-13-55-2020
21. 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
22. Emulation of high-resolution land surface models using sparse Gaussian processes with application to JULES E. Baker et al. 10.5194/gmd-15-1913-2022
23. ICLASS 1.1, a variational Inverse modelling framework for the Chemistry Land-surface Atmosphere Soil Slab model: description, validation, and application P. Bosman & M. Krol 10.5194/gmd-16-47-2023
24. Exploring a hybrid ensemble–variational data assimilation technique (4DEnVar) with a simple ecosystem carbon model N. Douglas et al. 10.1016/j.envsoft.2025.106361
25. Improving modelled albedo over the Greenland ice sheet through parameter optimisation and MODIS snow albedo retrievals N. Raoult et al. 10.5194/tc-17-2705-2023
26. 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
27. 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
28. Dry Deposition of Ozone Over Land: Processes, Measurement, and Modeling O. Clifton et al. 10.1029/2019RG000670
29. 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
30. Impact of remotely sensed soil moisture and precipitation on soil moisture prediction in a data assimilation system with the JULES land surface model E. Pinnington et al. 10.5194/hess-22-2575-2018
31. 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
32. Pixel-level parameter optimization of a terrestrial biosphere model for improving estimation of carbon fluxes with an efficient model–data fusion method and satellite-derived LAI and GPP data R. Ma et al. 10.5194/gmd-15-6637-2022
33. Assessing MODIS carbon and water fluxes in grasslands and shrublands in semiarid regions using eddy covariance tower data Y. Li et al. 10.1080/01431161.2020.1811915
34. Exploring the potential of history matching for land surface model calibration N. Raoult et al. 10.5194/gmd-17-5779-2024
35. Simulating the land carbon sink: Progresses and challenges of terrestrial ecosystem models W. Yuan et al. 10.1016/j.agrformet.2024.110264
36. Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. 10.1029/2019MS001689
37. Calibration of cloud and aerosol related parameters for solar irradiance forecasts in WRF-solar Y. Liu et al. 10.1016/j.solener.2022.05.064
38. Strong constraint on modelled global carbon uptake using solar-induced chlorophyll fluorescence data N. MacBean et al. 10.1038/s41598-018-20024-w
39. Parameter optimization for carbon and water fluxes in two global land surface models based on surrogate modelling J. Li et al. 10.1002/joc.5428
40. Impacts of Land Cover and Soil Texture Uncertainty on Land Model Simulations Over the Central Tibetan Plateau J. Li et al. 10.1029/2018MS001377
41. Numerical Evaluation of JULES Surface Tiling Scheme with High-Resolution Atmospheric Forcing and Land Cover Data J. Park et al. 10.2151/sola.2018-004
42. Improved representation of plant functional types and physiology in the Joint UK Land Environment Simulator (JULES v4.2) using plant trait information A. Harper et al. 10.5194/gmd-9-2415-2016