12 citations as recorded by crossref.

1. Integrating the evidence for a terrestrial carbon sink caused by increasing atmospheric CO2 A. Walker et al. 10.1111/nph.16866
2. Sensitivity analysis and estimation using a hierarchical Bayesian method for the parameters of the FvCB biochemical photosynthetic model T. Han et al. 10.1007/s11120-019-00684-z
3. A Computationally Efficient Method for Estimating Multi‐Model Process Sensitivity Index H. Dai et al. 10.1029/2022WR033263
4. Linking big models to big data: efficient ecosystem model calibration through Bayesian model emulation I. Fer et al. 10.5194/bg-15-5801-2018
5. Guidelines for Publicly Archiving Terrestrial Model Data to Enhance Usability, Intercomparison, and Synthesis M. Simmonds et al. 10.5334/dsj-2022-003
6. 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
7. The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty D. Lawrence et al. 10.1029/2018MS001583
8. Process Interactions Can Change Process Ranking in a Coupled Complex System Under Process Model and Parametric Uncertainty J. Yang et al. 10.1029/2021WR029812
9. Parameter sensitivity analysis for a biochemically-based photosynthesis model T. Han et al. 10.1016/j.rcar.2023.04.005
10. Advancing global change biology through experimental manipulations: Where have we been and where might we go? P. Hanson & A. Walker 10.1111/gcb.14894
11. Structural differences across hydrological models affect certainty of predictions of nature-based solution benefits A. Rebelo et al. 10.1016/j.ecolmodel.2024.110940
12. Biological mechanisms may contribute to soil carbon saturation patterns M. Craig et al. 10.1111/gcb.15584