56 citations as recorded by crossref.

1. Technical note: Inherent benchmark or not? Comparing Nash–Sutcliffe and Kling–Gupta efficiency scores W. Knoben et al. 10.5194/hess-23-4323-2019
2. Influence of modifications (from AoB2015 to v0.5) in the Vegetation Optimality Model R. Nijzink et al. 10.5194/gmd-15-883-2022
3. Evaluation of Drydown Processes in Global Land Surface and Hydrological Models Using Flux Tower Evapotranspiration A. Martínez-de la Torre et al. 10.3390/w11020356
4. Global evaluation of the Ecosystem Demography model (ED v3.0) L. Ma et al. 10.5194/gmd-15-1971-2022
5. Modeling the Terrestrial Biosphere J. Fisher et al. 10.1146/annurev-environ-012913-093456
6. Challenges and opportunities in land surface modelling of savanna ecosystems R. Whitley et al. 10.5194/bg-14-4711-2017
7. Assessing Surface Solar Radiation Fluxes in the CMIP Ensembles A. Loew et al. 10.1175/JCLI-D-14-00503.1
8. Setting expectations for hydrologic model performance with an ensemble of simple benchmarks W. Knoben 10.1002/hyp.15288
9. CLASSIC v1.0: the open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM) – Part 1: Model framework and site-level performance J. Melton et al. 10.5194/gmd-13-2825-2020
10. The impact of changing the land surface scheme in ACCESS(v1.0/1.1) on the surface climatology E. Kowalczyk et al. 10.5194/gmd-9-2771-2016
11. Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network J. Beringer et al. 10.1111/gcb.16141
12. Benchmarking and Process Diagnostics of Land Models G. Nearing et al. 10.1175/JHM-D-17-0209.1
13. The International Land Model Benchmarking (ILAMB) System: Design, Theory, and Implementation N. Collier et al. 10.1029/2018MS001354
14. Benchmarking of a Physically Based Hydrologic Model A. Newman et al. 10.1175/JHM-D-16-0284.1
15. Parameter Sensitivity of the Noah-MP Land Surface Model with Dynamic Vegetation K. Arsenault et al. 10.1175/jhm-d-17-0205.1
16. LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation S. Schaphoff et al. 10.5194/gmd-11-1377-2018
17. A model inter-comparison study to examine limiting factors in modelling Australian tropical savannas R. Whitley et al. 10.5194/bg-13-3245-2016
18. Examining the role of environmental memory in the predictability of carbon and water fluxes across Australian ecosystems J. Cranko Page et al. 10.5194/bg-19-1913-2022
19. Grand Challenges in Understanding the Interplay of Climate and Land Changes S. Liu et al. 10.1175/EI-D-16-0012.1
20. Environmental reporting and accounting in Australia: Progress, prospects and research priorities A. van Dijk et al. 10.1016/j.scitotenv.2013.12.053
21. Improving the representation of hydrologic processes in Earth System Models M. Clark et al. 10.1002/2015WR017096
22. An analytical test case for snow models M. Clark et al. 10.1002/2016WR019672
23. Recent trends and drivers of regional sources and sinks of carbon dioxide S. Sitch et al. 10.5194/bg-12-653-2015
24. Exploring how groundwater buffers the influence of heatwaves on vegetation function during multi-year droughts M. Mu et al. 10.5194/esd-12-919-2021
25. Assessment of simulated water balance from Noah, Noah‐MP, CLM, and VIC over CONUS using the NLDAS test bed X. Cai et al. 10.1002/2014JD022113
26. Derived Optimal Linear Combination Evapotranspiration (DOLCE): a global gridded synthesis ET estimate S. Hobeichi et al. 10.5194/hess-22-1317-2018
27. Evaluating precipitation distributions at regional scales: a benchmarking framework and application to CMIP5 and 6 models M. Ahn et al. 10.5194/gmd-16-3927-2023
28. A test of an optimal stomatal conductance scheme within the CABLE land surface model M. De Kauwe et al. 10.5194/gmd-8-431-2015
29. Benchmarking a Soil Moisture Data Assimilation System for Agricultural Drought Monitoring E. Han et al. 10.1175/JHM-D-13-0125.1
30. On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results G. Abramowitz et al. 10.5194/bg-21-5517-2024
31. Diagnosing the Dynamics of Observed and Simulated Ecosystem Gross Primary Productivity with Time Causal Information Theory Quantifiers S. Sippel et al. 10.1371/journal.pone.0164960
32. The Terrestrial Biosphere Model Farm J. Fisher et al. 10.1029/2021MS002676
33. Benchmarking NLDAS-2 Soil Moisture and Evapotranspiration to Separate Uncertainty Contributions G. Nearing et al. 10.1175/JHM-D-15-0063.1
34. Sensitivity of inferred climate model skill to evaluation decisions: a case study using CMIP5 evapotranspiration C. Schwalm et al. 10.1088/1748-9326/8/2/024028
35. 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
36. The Plumbing of Land Surface Models: Is Poor Performance a Result of Methodology or Data Quality? N. Haughton et al. 10.1175/JHM-D-15-0171.1
37. Leaf mass per area, not total leaf area, drives differences in above‐ground biomass distribution among woody plant functional types R. Duursma & D. Falster 10.1111/nph.14033
38. Modelling evapotranspiration during precipitation deficits: identifying critical processes in a land surface model A. Ukkola et al. 10.5194/hess-20-2403-2016
39. Evaluating Land–Atmosphere Coupling Using a Resistance Pathway Framework A. Hirsch et al. 10.1175/JHM-D-15-0204.1
40. Sensitivity of Numerical Weather Forecasts to Initial Soil Moisture Variations in CFSv2 P. Dirmeyer & S. Halder 10.1175/WAF-D-16-0049.1
41. A flux tower dataset tailored for land model evaluation A. Ukkola et al. 10.5194/essd-14-449-2022
42. Selecting CMIP6 global climate models (GCMs) for Coordinated Regional Climate Downscaling Experiment (CORDEX) dynamical downscaling over Southeast Asia using a standardised benchmarking framework P. Nguyen et al. 10.5194/gmd-17-7285-2024
43. Do land surface models need to include differential plant species responses to drought? Examining model predictions across a mesic-xeric gradient in Europe M. De Kauwe et al. 10.5194/bg-12-7503-2015
44. Effects of Meteorological and Ancillary Data, Temporal Averaging, and Evaluation Methods on Model Performance and Uncertainty in a Land Surface Model C. Ménard et al. 10.1175/JHM-D-15-0013.1
45. A traceability analysis system for model evaluation on land carbon dynamics: design and applications J. Zhou et al. 10.1186/s13717-021-00281-w
46. The impact of structural error on parameter constraint in a climate model D. McNeall et al. 10.5194/esd-7-917-2016
47. Development of Integrated Land Simulator T. Nitta et al. 10.1186/s40645-020-00383-7
48. Evaluating the Interplay Between Biophysical Processes and Leaf Area Changes in Land Surface Models G. Forzieri et al. 10.1002/2018MS001284
49. An optimal ensemble of the Noah-MP land surface model for simulating surface heat fluxes over a typical subtropical forest in South China M. Chang et al. 10.1016/j.agrformet.2019.107815
50. Does maximization of net carbon profit enable the prediction of vegetation behaviour in savanna sites along a precipitation gradient? R. Nijzink et al. 10.5194/hess-26-525-2022
51. The Land Use Model Intercomparison Project (LUMIP) contribution to CMIP6: rationale and experimental design D. Lawrence et al. 10.5194/gmd-9-2973-2016
52. Shyft v4.8: a framework for uncertainty assessment and distributed hydrologic modeling for operational hydrology J. Burkhart et al. 10.5194/gmd-14-821-2021
53. New turbulent resistance parameterization for soil evaporation based on a pore‐scale model: Impact on surface fluxes in CABLE M. Decker et al. 10.1002/2016MS000832
54. Multi-site evaluation of the JULES land surface model using global and local data D. Slevin et al. 10.5194/gmd-8-295-2015
55. Taking off the training wheels: the properties of a dynamic vegetation model without climate envelopes, CLM4.5(ED) R. Fisher et al. 10.5194/gmd-8-3593-2015
56. The quantity and quality of information in hydrologic models G. Nearing & H. Gupta 10.1002/2014WR015895