27 citations as recorded by crossref.

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2. Topographic Heterogeneity and Aspect Moderate Exposure to Climate Change Across an Alpine Tundra Hillslope K. Jay et al. 10.1029/2023JG007664
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4. A machine learning approach targeting parameter estimation for plant functional type coexistence modeling using ELM-FATES (v2.0) L. Li et al. 10.5194/gmd-16-4017-2023
5. A Review of Machine Learning Applications in Land Surface Modeling S. Pal & P. Sharma 10.3390/earth2010011
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8. Large Ensemble Diagnostic Evaluation of Hydrologic Parameter Uncertainty in the Community Land Model Version 5 (CLM5) H. Yan et al. 10.1029/2022MS003312
9. Inferring surface energy fluxes using drone data assimilation in large eddy simulations N. Pirk et al. 10.5194/amt-15-7293-2022
10. 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
11. Assessing the potential for simplification in global climate model cloud microphysics U. Proske et al. 10.5194/acp-22-4737-2022
12. Modeling China's terrestrial ecosystem gross primary productivity with BEPS model: Parameter sensitivity analysis and model calibration X. Xing et al. 10.1016/j.agrformet.2023.109789
13. Evaluating a reservoir parametrization in the vector-based global routing model mizuRoute (v2.0.1) for Earth system model coupling I. Vanderkelen et al. 10.5194/gmd-15-4163-2022
14. Knowledge-informed deep learning for hydrological model calibration: an application to Coal Creek Watershed in Colorado P. Jiang et al. 10.5194/hess-27-2621-2023
15. Sensitivity of Air Pollution Exposure and Disease Burden to Emission Changes in China Using Machine Learning Emulation L. Conibear et al. 10.1029/2021GH000570
16. Characterizing uncertainty in Community Land Model version 5 hydrological applications in the United States H. Yan et al. 10.1038/s41597-023-02049-7
17. Flexible Foliar Stoichiometry Reduces the Magnitude of the Global Land Carbon Sink E. Hauser et al. 10.1029/2023GL105493
18. Machine learning for numerical weather and climate modelling: a review C. de Burgh-Day & T. Leeuwenburg 10.5194/gmd-16-6433-2023
19. Model calibration using ESEm v1.1.0 – an open, scalable Earth system emulator D. Watson-Parris et al. 10.5194/gmd-14-7659-2021
20. Scalable deep learning for watershed model calibration M. Mudunuru et al. 10.3389/feart.2022.1026479
21. CLM5-FruitTree: a new sub-model for deciduous fruit trees in the Community Land Model (CLM5) O. Dombrowski et al. 10.5194/gmd-15-5167-2022
22. Using a surrogate-assisted Bayesian framework to calibrate the runoff-generation scheme in the Energy Exascale Earth System Model (E3SM) v1 D. Xu et al. 10.5194/gmd-15-5021-2022
23. Multi‐Objective Adaptive Surrogate Modeling‐Based Optimization for Distributed Environmental Models Based on Grid Sampling R. Sun et al. 10.1029/2020WR028740
24. The CryoGrid community model (version 1.0) – a multi-physics toolbox for climate-driven simulations in the terrestrial cryosphere S. Westermann et al. 10.5194/gmd-16-2607-2023
25. Modeling Global Carbon Costs of Plant Nitrogen and Phosphorus Acquisition R. Braghiere et al. 10.1029/2022MS003204
26. An Outlook for Deep Learning in Ecosystem Science G. Perry et al. 10.1007/s10021-022-00789-y
27. Moving Land Models Toward More Actionable Science: A Novel Application of the Community Terrestrial Systems Model Across Alaska and the Yukon River Basin Y. Cheng et al. 10.1029/2022WR032204