12 citations as recorded by crossref.

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