47 citations as recorded by crossref.

1. Towards robust statistical inference for complex computer models J. Oberpriller et al. 10.1111/ele.13728
2. A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1) M. Forkel et al. 10.5194/gmd-10-4443-2017
3. Leveraging 35 years of <i>Pinus taeda</i> research in the southeastern US to constrain forest carbon cycle predictions: regional data assimilation using ecosystem experiments R. Thomas et al. 10.5194/bg-14-3525-2017
4. Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model M. Peaucelle et al. 10.1111/geb.12937
5. Atmospheric phosphorus deposition amplifies carbon sinks in simulations of a tropical forest in Central Africa D. Goll et al. 10.1111/nph.18535
6. Comment F. Chevallier & F. Bréon 10.1080/01621459.2017.1419138
7. 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
8. 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. 10.1002/2017JG003760
9. Differences Between OCO‐2 and GOME‐2 SIF Products From a Model‐Data Fusion Perspective C. Bacour et al. 10.1029/2018JG004938
10. On the use of Earth Observation to support estimates of national greenhouse gas emissions and sinks for the Global stocktake process: lessons learned from ESA-CCI RECCAP2 A. Bastos et al. 10.1186/s13021-022-00214-w
11. Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0) E. Weng et al. 10.5194/gmd-15-8153-2022
12. Modeling and uncertainty analysis of carbon and water fluxes in a broad-leaved Korean pine mixed forest based on model-data fusion X. Ren et al. 10.1016/j.ecolmodel.2018.03.013
13. Coupling between the terrestrial carbon and water cycles—a review P. Gentine et al. 10.1088/1748-9326/ab22d6
14. Characterizing the Error and Bias of Remotely Sensed LAI Products: An Example for Tropical and Subtropical Evergreen Forests in South China Y. Zhao et al. 10.3390/rs12193122
15. ORCHIDEE-SOM: modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe M. Camino-Serrano et al. 10.5194/gmd-11-937-2018
16. Evaluation of Earth Observations and In Situ Data Assimilation for Seasonal Hydrological Forecasting J. Musuuza et al. 10.1029/2022WR033655
17. 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
18. Optimal model complexity for terrestrial carbon cycle prediction C. Famiglietti et al. 10.5194/bg-18-2727-2021
19. Constraining DALECv2 using multiple data streams and ecological constraints: analysis and application S. Delahaies et al. 10.5194/gmd-10-2635-2017
20. Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe S. Scherrer et al. 10.5194/hess-27-4087-2023
21. Improved process representation of leaf phenology significantly shifts climate sensitivity of ecosystem carbon balance A. Norton et al. 10.5194/bg-20-2455-2023
22. 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
23. Definitions and methods to estimate regional land carbon fluxes for the second phase of the REgional Carbon Cycle Assessment and Processes Project (RECCAP-2) P. Ciais et al. 10.5194/gmd-15-1289-2022
24. A data-driven approach for discovering the most probable transition pathway for a stochastic carbon cycle system J. Chen et al. 10.1063/5.0116643
25. 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
26. 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
27. Calibrating the soil organic carbon model Yasso20 with multiple datasets T. Viskari et al. 10.5194/gmd-15-1735-2022
28. Including Stable Carbon Isotopes to Evaluate the Dynamics of Soil Carbon in the Land‐Surface Model ORCHIDEE M. Camino‐Serrano et al. 10.1029/2018MS001392
29. 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
30. 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
31. 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
32. 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
33. Potential of Bayesian formalism for the fusion and assimilation of sequential forestry data in time and space C. Mohamedou et al. 10.1139/cjfr-2021-0145
34. 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
35. A Variational Approach to Data Assimilation in the Solar Wind M. Lang & M. Owens 10.1029/2018SW001857
36. Constraining estimates of terrestrial carbon uptake: new opportunities using long‐term satellite observations and data assimilation W. Smith et al. 10.1111/nph.16055
37. Modeling the Carbon Cycle of a Subtropical Chinese Fir Plantation Using a Multi-Source Data Fusion Approach L. Hu et al. 10.3390/f11040369
38. CARDAMOM-FluxVal version 1.0: a FLUXNET-based validation system for CARDAMOM carbon and water flux estimates Y. Yang et al. 10.5194/gmd-15-1789-2022
39. 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
40. Carbon Flux Variability From a Relatively Simple Ecosystem Model With Assimilated Data Is Consistent With Terrestrial Biosphere Model Estimates G. Quetin et al. 10.1029/2019MS001889
41. Constraining modelled global vegetation dynamics and carbon turnover using multiple satellite observations M. Forkel et al. 10.1038/s41598-019-55187-7
42. 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
43. Assessing the response of forest productivity to climate extremes in Switzerland using model–data fusion V. Trotsiuk et al. 10.1111/gcb.15011
44. Lagged effects regulate the inter-annual variability of the tropical carbon balance A. Bloom et al. 10.5194/bg-17-6393-2020
45. Improved algorithm for parallel mining collaborative frequent itemsets in multiple data streams F. Liu et al. 10.1007/s10586-018-1859-y
46. Linking big models to big data: efficient ecosystem model calibration through Bayesian model emulation I. Fer et al. 10.5194/bg-15-5801-2018
47. 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