84 citations as recorded by crossref.

1. A comprehensive benchmarking system for evaluating global vegetation models D. Kelley et al. 10.5194/bg-10-3313-2013
2. Evaluating the Interplay Between Biophysical Processes and Leaf Area Changes in Land Surface Models G. Forzieri et al. 10.1002/2018MS001284
3. Towards a public, standardized, diagnostic benchmarking system for land surface models G. Abramowitz 10.5194/gmd-5-819-2012
4. Improving the representation of hydrologic processes in Earth System Models M. Clark et al. 10.1002/2015WR017096
5. 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
6. Quantification and attribution of errors in the simulated annual gross primary production and latent heat fluxes by two global land surface models J. Li et al. 10.1002/2015MS000583
7. A framework for benchmarking land models Y. Luo et al. 10.5194/bg-9-3857-2012
8. 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
9. High-end climate change impact on European runoff and low flows – exploring the effects of forcing biases L. Papadimitriou et al. 10.5194/hess-20-1785-2016
10. The significance of land-atmosphere interactions in the Earth system—iLEAPS achievements and perspectives T. Suni et al. 10.1016/j.ancene.2015.12.001
11. Diagnosing hydrological limitations of a land surface model: application of JULES to a deep-groundwater chalk basin N. Le Vine et al. 10.5194/hess-20-143-2016
12. Hydrological Functioning of Maize Crops in Southwest France Using Eddy Covariance Measurements and a Land Surface Model O. Dare-Idowu et al. 10.3390/w13111481
13. Evaluation of CMIP5 earth system models in reproducing leaf area index and vegetation cover over the Tibetan Plateau Y. Bao et al. 10.1007/s13351-014-4023-5
14. Evaluation of a photosynthesis-based biogenic isoprene emission scheme in JULES and simulation of isoprene emissions under present-day climate conditions F. Pacifico et al. 10.5194/acp-11-4371-2011
15. Global evaluation of gross primary productivity in the JULES land surface model v3.4.1 D. Slevin et al. 10.5194/gmd-10-2651-2017
16. Improvement of modeling plant responses to low soil moisture in JULESvn4.9 and evaluation against flux tower measurements A. Harper et al. 10.5194/gmd-14-3269-2021
17. Assessing Model Predictions of Carbon Dynamics in Global Drylands D. Fawcett et al. 10.3389/fenvs.2022.790200
18. Cultivating C4 crops in a changing climate: sugarcane in Ghana E. Black et al. 10.1088/1748-9326/7/4/044027
19. Evaluation of vegetation cover and land‐surface albedo in MPI‐ESM CMIP5 simulations V. Brovkin et al. 10.1029/2012MS000169
20. Narrowing the Range of Future Climate Projections Using Historical Observations of Atmospheric CO2 B. Booth et al. 10.1175/JCLI-D-16-0178.1
21. Land surface Verification Toolkit (LVT) – a generalized framework for land surface model evaluation S. Kumar et al. 10.5194/gmd-5-869-2012
22. The effect of GCM biases on global runoff simulations of a land surface model L. Papadimitriou et al. 10.5194/hess-21-4379-2017
23. 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
24. PALADYN v1.0, a comprehensive land surface–vegetation–carbon cycle model of intermediate complexity M. Willeit & A. Ganopolski 10.5194/gmd-9-3817-2016
25. Compensatory climate effects link trends in global runoff to rising atmospheric CO2 concentration H. Yang et al. 10.1088/1748-9326/ab5c6f
26. Photosynthesis-dependent isoprene emission from leaf to planet in a global carbon-chemistry-climate model N. Unger et al. 10.5194/acp-13-10243-2013
27. 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
28. Using observed river flow data to improve the hydrological functioning of the JULES land surface model (vn4.3) used for regional coupled modelling in Great Britain (UKC2) A. Martínez-de la Torre et al. 10.5194/gmd-12-765-2019
29. Modeling the Terrestrial Biosphere J. Fisher et al. 10.1146/annurev-environ-012913-093456
30. Challenges and opportunities in land surface modelling of savanna ecosystems R. Whitley et al. 10.5194/bg-14-4711-2017
31. Evaluation of terrestrial carbon cycle models for their response to climate variability and to CO2 trends S. Piao et al. 10.1111/gcb.12187
32. Development of an ecophysiology module in the GEOS-Chem chemical transport model version 12.2.0 to represent biosphere–atmosphere fluxes relevant for ozone air quality J. Lam et al. 10.5194/gmd-16-2323-2023
33. Global parameterization and validation of a two‐leaf light use efficiency model for predicting gross primary production across FLUXNET sites Y. Zhou et al. 10.1002/2014JG002876
34. Modeling and Assessment of Vegetation Water Content on Soil Moisture Retrieval via the Synergistic Use of Sentinel‐1 and Sentinel‐2 Q. Wang et al. 10.1029/2021EA002063
35. Multi-site evaluation of the JULES land surface model using global and local data D. Slevin et al. 10.5194/gmd-8-295-2015
36. 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
37. Development and evaluation of an Earth-System model – HadGEM2 W. Collins et al. 10.5194/gmd-4-1051-2011
38. Investigating Terrestrial Carbon Uptake Over India Using Multimodel Simulations of Gross Primary Productivity and Satellite‐Based Biophysical Product G. Uchale et al. 10.1029/2023JG007468
39. The Joint UK Land Environment Simulator (JULES), model description – Part 2: Carbon fluxes and vegetation dynamics D. Clark et al. 10.5194/gmd-4-701-2011
40. Climate-driven uncertainties in modeling terrestrial energy and water fluxes: a site-level to global-scale analysis R. Barman et al. 10.1111/gcb.12473
41. Evaluation of biospheric components in Earth system models using modern and palaeo-observations: the state-of-the-art A. Foley et al. 10.5194/bg-10-8305-2013
42. Soil Moisture‐Temperature Coupling in a Set of Land Surface Models A. Gevaert et al. 10.1002/2017JD027346
43. Evaluating litter decomposition in earth system models with long‐term litterbag experiments: an example using the Community Land Model version 4 (CLM4) G. Bonan et al. 10.1111/gcb.12031
44. Global Evaluation of the Noah‐MP Land Surface Model and Suggestions for Selecting Parameterization Schemes J. Li et al. 10.1029/2021JD035753
45. The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes M. Best et al. 10.5194/gmd-4-677-2011
46. The International Land Model Benchmarking (ILAMB) System: Design, Theory, and Implementation N. Collier et al. 10.1029/2018MS001354
47. Towards a more objective evaluation of modelled land-carbon trends using atmospheric CO<sub>2</sub> and satellite-based vegetation activity observations D. Dalmonech & S. Zaehle 10.5194/bg-10-4189-2013
48. Improved representation of plant functional types and physiology in the Joint UK Land Environment Simulator (JULES v4.2) using plant trait information A. Harper et al. 10.5194/gmd-9-2415-2016
49. Do we (need to) care about canopy radiation schemes in DGVMs? Caveats and potential impacts A. Loew et al. 10.5194/bg-11-1873-2014
50. Coupling a land-surface model with a crop growth model to improve ET flux estimations in the Upper Ganges basin, India G. Tsarouchi et al. 10.5194/hess-18-4223-2014
51. A critical assessment of the JULES land surface model hydrology for humid tropical environments Z. Zulkafli et al. 10.5194/hess-17-1113-2013
52. Separation of the Effects of Land and Climate Model Errors on Simulated Contemporary Land Carbon Cycle Trends in the MPI Earth System Model version 1* D. Dalmonech et al. 10.1175/JCLI-D-13-00593.1
53. Modelling carbon sources and sinks in terrestrial vegetation S. Fatichi et al. 10.1111/nph.15451
54. Evaluation of a Global Vegetation Model using time series of satellite vegetation indices F. Maignan et al. 10.5194/gmd-4-1103-2011
55. Land surface model performance using cosmic-ray and point-scale soil moisture measurements for calibration J. Iwema et al. 10.5194/hess-21-2843-2017
56. The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description M. Longo et al. 10.5194/gmd-12-4309-2019
57. How Well Do Operational Numerical Weather Prediction Configurations Represent Hydrology? E. Zsoter et al. 10.1175/JHM-D-18-0086.1
58. Geological controls of discharge variability in the Thames Basin, UK from cross-spectral analyses: Observations versus modelling G. Weedon et al. 10.1016/j.jhydrol.2023.130104
59. Recent trends and drivers of regional sources and sinks of carbon dioxide S. Sitch et al. 10.5194/bg-12-653-2015
60. Improved representation of plant physiology in the JULES-vn5.6 land surface model: photosynthesis, stomatal conductance and thermal acclimation R. Oliver et al. 10.5194/gmd-15-5567-2022
61. Modelling evapotranspiration during precipitation deficits: identifying critical processes in a land surface model A. Ukkola et al. 10.5194/hess-20-2403-2016
62. Uncertainties in CMIP5 Climate Projections due to Carbon Cycle Feedbacks P. Friedlingstein et al. 10.1175/JCLI-D-12-00579.1
63. Environmental drivers of drought deciduous phenology in the Community Land Model K. Dahlin et al. 10.5194/bg-12-5061-2015
64. Reviews and syntheses: Flying the satellite into your model: on the role of observation operators in constraining models of the Earth system and the carbon cycle T. Kaminski & P. Mathieu 10.5194/bg-14-2343-2017
65. Scale-Dependent Performance of CMIP5 Earth System Models in Simulating Terrestrial Vegetation Carbon* L. Jiang et al. 10.1175/JCLI-D-14-00270.1
66. The Terrestrial Biosphere Model Farm J. Fisher et al. 10.1029/2021MS002676
67. Validation of 3D-CMCC Forest Ecosystem Model (v.5.1) against eddy covariance data for 10 European forest sites A. Collalti et al. 10.5194/gmd-9-479-2016
68. Influence of modifications (from AoB2015 to v0.5) in the Vegetation Optimality Model R. Nijzink et al. 10.5194/gmd-15-883-2022
69. Multicriteria evaluation of discharge simulation in Dynamic Global Vegetation Models H. Yang et al. 10.1002/2015JD023129
70. Assessing Surface Solar Radiation Fluxes in the CMIP Ensembles A. Loew et al. 10.1175/JCLI-D-14-00503.1
71. From Ecosystem Observation to Environmental Decision-Making: Model-Data Fusion as an Operational Tool T. Smallman et al. 10.3389/ffgc.2021.818661
72. 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
73. A Bayesian ensemble data assimilation to constrain model parameters and land-use carbon emissions S. Lienert & F. Joos 10.5194/bg-15-2909-2018
74. How representative are FLUXNET measurements of surface fluxes during temperature extremes? S. van der Horst et al. 10.5194/bg-16-1829-2019
75. Evaluating and comparing remote sensing terrestrial GPP models for their response to climate variability and CO2 trends Z. Sun et al. 10.1016/j.scitotenv.2019.03.025
76. Comparisons of the Noah-MP land surface model simulations with measurements of forest and crop sites in Amazonia I. Pilotto et al. 10.1007/s00703-015-0399-8
77. Improved modelling of Siberian river flow through the use of an alternative frozen soil hydrology scheme in a land surface model D. Finney et al. 10.5194/tc-6-859-2012
78. Toward a better integration of biological data from precipitation manipulation experiments into Earth system models N. Smith et al. 10.1002/2014RG000458
79. Climate‐driven uncertainties in modeling terrestrial gross primary production: a site level to global‐scale analysis R. Barman et al. 10.1111/gcb.12474
80. Design and implementation of the infrastructure of HadGEM3: the next-generation Met Office climate modelling system H. Hewitt et al. 10.5194/gmd-4-223-2011
81. Challenges in Quantifying Changes in the Global Water Cycle G. Hegerl et al. 10.1175/BAMS-D-13-00212.1
82. Evaluating global snow water equivalent products for testing land surface models S. Hancock et al. 10.1016/j.rse.2012.10.004
83. State of the Art in Large-Scale Soil Moisture Monitoring T. Ochsner et al. 10.2136/sssaj2013.03.0093
84. Biases in Reanalysis Snowfall Found by Comparing the JULES Land Surface Model to GlobSnow S. Hancock et al. 10.1175/JCLI-D-13-00382.1