113 citations as recorded by crossref.

1. Increasing impact of warm droughts on northern ecosystem productivity over recent decades D. Gampe et al. https://doi.org/10.1038/s41558-021-01112-8
2. The global drivers of wildfire O. Haas et al. https://doi.org/10.3389/fenvs.2024.1438262
3. Regional and seasonal partitioning of water and temperature controls on global land carbon uptake variability K. Wang et al. https://doi.org/10.1038/s41467-022-31175-w
4. Implementing a dynamic representation of fire and harvest including subgrid-scale heterogeneity in the tile-based land surface model CLASSIC v1.45 S. Curasi et al. https://doi.org/10.5194/gmd-17-2683-2024
5. A Paleoclimate-Compatible Framework for Modeling Lightning-Caused Ignition Probability in Alaska C. Uden et al. https://doi.org/10.3390/atmos17050490
6. Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models L. Teckentrup et al. https://doi.org/10.5194/bg-16-3883-2019
7. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017 A. Petrescu et al. https://doi.org/10.5194/essd-13-2307-2021
8. A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) B. Qu et al. https://doi.org/10.1088/1748-9326/ace376
9. An assessment of geographical distribution of different plant functional types over North America simulated using the CLASS–CTEM modelling framework R. Shrestha et al. https://doi.org/10.5194/bg-14-4733-2017
10. Global Sensitivity Analysis of the Historical Carbon Sink across Biomes R. Deepak et al. https://doi.org/10.1080/07055900.2025.2552952
11. A Data‐Driven Global Soil Heterotrophic Respiration Dataset and the Drivers of Its Inter‐Annual Variability Y. Yao et al. https://doi.org/10.1029/2020GB006918
12. Global Sensitivity Analysis of the Future Land Carbon Sink R. Deepak et al. https://doi.org/10.1080/07055900.2025.2540430
13. Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest B. Bahrami et al. https://doi.org/10.5194/gmd-15-6957-2022
14. Controls on evapotranspiration from jack pine forests in the Boreal Plains Ecozone M. Nazarbakhsh et al. https://doi.org/10.1002/hyp.13674
15. On the Discretization of Richards Equation in Canadian Land Surface Models M. MacKay et al. https://doi.org/10.1080/07055900.2022.2096558
16. Mapping of ESA's Climate Change Initiative land cover data to plant functional types for use in the CLASSIC land model L. Wang et al. https://doi.org/10.5194/bg-20-2265-2023
17. Quantitative assessment of fire and vegetation properties in simulations with fire-enabled vegetation models from the Fire Model Intercomparison Project S. Hantson et al. https://doi.org/10.5194/gmd-13-3299-2020
18. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019 A. Petrescu et al. https://doi.org/10.5194/essd-15-1197-2023
19. Global Methane Budget 2000–2020 M. Saunois et al. https://doi.org/10.5194/essd-17-1873-2025
20. Improved estimate of global gross primary production for reproducing its long-term variation, 1982–2017 Y. Zheng et al. https://doi.org/10.5194/essd-12-2725-2020
21. Improving permafrost physics in the coupled Canadian Land Surface Scheme (v.3.6.2) and Canadian Terrestrial Ecosystem Model (v.2.1) (CLASS-CTEM) J. Melton et al. https://doi.org/10.5194/gmd-12-4443-2019
22. Modelled land use and land cover change emissions – a spatio-temporal comparison of different approaches W. Obermeier et al. https://doi.org/10.5194/esd-12-635-2021
23. Country-level estimates of gross and net carbon fluxes from land use, land-use change and forestry W. Obermeier et al. https://doi.org/10.5194/essd-16-605-2024
24. Vegetation demographics in Earth System Models: A review of progress and priorities R. Fisher et al. https://doi.org/10.1111/gcb.13910
25. Solar‐Induced Fluorescence Helps Constrain Global Patterns in Net Biosphere Exchange, as Estimated Using Atmospheric CO2 Observations M. Zhang et al. https://doi.org/10.1029/2023JG007703
26. CLASSIC v1.0: the open-source community successor to the Canadian Land Surface Scheme (CLASS) and the Canadian Terrestrial Ecosystem Model (CTEM) – Part 2: Global benchmarking C. Seiler et al. https://doi.org/10.5194/gmd-14-2371-2021
27. Global Carbon Budget 2018 C. Le Quéré et al. https://doi.org/10.5194/essd-10-2141-2018
28. Night-time decline in plant respiration is consistent with substrate depletion S. Jones et al. https://doi.org/10.1038/s43247-024-01312-y
29. Boreal afforestation’s underestimated cloud influence on Earth’s energy imbalance E. Ofosu et al. https://doi.org/10.1038/s41612-026-01365-0
30. The global methane budget 2000–2012 M. Saunois et al. https://doi.org/10.5194/essd-8-697-2016
31. Climate‐Driven Variability and Trends in Plant Productivity Over Recent Decades Based on Three Global Products M. O'Sullivan et al. https://doi.org/10.1029/2020GB006613
32. Simulating shrubs and their energy and carbon dioxide fluxes in Canada's Low Arctic with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) G. Meyer et al. https://doi.org/10.5194/bg-18-3263-2021
33. Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb) B. Badawy et al. https://doi.org/10.5194/gmd-11-631-2018
34. Terrestrial biosphere models may overestimate Arctic CO2 assimilation if they do not account for decreased quantum yield and convexity at low temperature A. Rogers et al. https://doi.org/10.1111/nph.15750
35. The Global Methane Budget 2000–2017 M. Saunois et al. https://doi.org/10.5194/essd-12-1561-2020
36. Quantifying the environmental limits to fire spread in grassy ecosystems A. Cardoso et al. https://doi.org/10.1073/pnas.2110364119
37. A Global Sensitivity Analysis of Parameter Uncertainty in the CLASSIC Model R. S. N. et al. https://doi.org/10.1080/07055900.2024.2396426
38. Investigating the response of leaf area index to droughts in southern African vegetation using observations and model simulations S. Lawal et al. https://doi.org/10.5194/hess-26-2045-2022
39. Global climate change below 2 °C avoids large end century increases in burned area in Canada S. Curasi et al. https://doi.org/10.1038/s41612-024-00781-4
40. Tiling soil textures for terrestrial ecosystem modelling via clustering analysis: a case study with CLASS-CTEM (version 2.1) J. Melton et al. https://doi.org/10.5194/gmd-10-2761-2017
41. An assessment of natural methane fluxes simulated by the CLASS-CTEM model V. Arora et al. https://doi.org/10.5194/bg-15-4683-2018
42. Uncertainty Quantification of Global Net Methane Emissions From Terrestrial Ecosystems Using a Mechanistically Based Biogeochemistry Model L. Liu et al. https://doi.org/10.1029/2019JG005428
43. A fire model with distinct crop, pasture, and non-agricultural burning: use of new data and a model-fitting algorithm for FINAL.1 S. Rabin et al. https://doi.org/10.5194/gmd-11-815-2018
44. Introducing water-stressed shrubland into the Canadian Land Surface Scheme S. Sun & D. Verseghy https://doi.org/10.1016/j.jhydrol.2019.124157
45. Deep Learning Surrogate Models of JULES-INFERNO for Wildfire Prediction on a Global Scale S. Cheng et al. https://doi.org/10.1109/TETCI.2024.3445450
46. Global human-made mass exceeds all living biomass E. Elhacham et al. https://doi.org/10.1038/s41586-020-3010-5
47. Hiatus of wetland methane emissions associated with recent La Niña episodes in the Asian monsoon region X. Zhang et al. https://doi.org/10.1007/s00382-020-05219-0
48. Multicriteria sensitivity analysis as a diagnostic tool for understanding model behaviour and characterizing model uncertainty A. Haghnegahdar et al. https://doi.org/10.1002/hyp.11358
49. Recent trends in gross primary production and their drivers: analysis and modelling at flux-site and global scales W. Cai & I. Prentice https://doi.org/10.1088/1748-9326/abc64e
50. Machine-learning-based estimates of global natural vegetated wetland methane emissions (2000–2025) M. Li et al. https://doi.org/10.5194/essd-18-3507-2026
51. Global soil respiration estimation based on ecological big data and machine learning model J. Liu et al. https://doi.org/10.1038/s41598-024-64235-w
52. Impact of dynamic vegetation phenology on the simulated pan-Arctic land surface state B. Teufel et al. https://doi.org/10.1007/s00382-018-4142-2
53. Combining European Earth Observation products with Dynamic Global Vegetation Models for estimating Essential Biodiversity Variables M. Dantas de Paula et al. https://doi.org/10.1080/17538947.2019.1597187
54. Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements T. Thonat et al. https://doi.org/10.5194/acp-17-8371-2017
55. Parameterizations of Snow Cover, Snow Albedo and Snow Density in Land Surface Models: A Comparative Review W. Lee et al. https://doi.org/10.1007/s13143-023-00344-2
56. A human-driven decline in global burned area N. Andela et al. https://doi.org/10.1126/science.aal4108
57. Global Carbon Budget 2017 C. Le Quéré et al. https://doi.org/10.5194/essd-10-405-2018
58. ELM2.1-XGBfire1.0: improving wildfire prediction by integrating a machine learning fire model in a land surface model Y. Liu et al. https://doi.org/10.5194/gmd-18-4103-2025
59. Observational constraints reduce model spread but not uncertainty in global wetland methane emission estimates K. Chang et al. https://doi.org/10.1111/gcb.16755
60. Characterizing Performance of Freshwater Wetland Methane Models Across Time Scales at FLUXNET‐CH4 Sites Using Wavelet Analyses Z. Zhang et al. https://doi.org/10.1029/2022JG007259
61. The status and challenge of global fire modelling S. Hantson et al. https://doi.org/10.5194/bg-13-3359-2016
62. The Fire Modeling Intercomparison Project (FireMIP), phase 1: experimental and analytical protocols with detailed model descriptions S. Rabin et al. https://doi.org/10.5194/gmd-10-1175-2017
63. Decadal climate predictions with the Canadian Earth System Model version 5 (CanESM5) R. Sospedra-Alfonso et al. https://doi.org/10.5194/gmd-14-6863-2021
64. Considerable Uncertainties in Simulating Land Carbon Sinks Induced by Different Precipitation Products M. Wang et al. https://doi.org/10.1029/2021JG006524
65. Historical (1700–2012) global multi-model estimates of the fire emissions from the Fire Modeling Intercomparison Project (FireMIP) F. Li et al. https://doi.org/10.5194/acp-19-12545-2019
66. The impacts of modelling prescribed vs. dynamic land cover in a high-CO2 future scenario – greening of the Arctic and Amazonian dieback S. Kou-Giesbrecht et al. https://doi.org/10.5194/bg-21-3339-2024
67. Equations to Predict Carbon Monoxide Emissions from Amazon Rainforest Fires S. Gallup et al. https://doi.org/10.3390/fire7120477
68. Global positive gross primary productivity extremes and climate contributions during 1982–2016 M. Wang et al. https://doi.org/10.1016/j.scitotenv.2021.145703
69. Estimation of China’s Contribution to Global Greening over the Past Three Decades J. Peng et al. https://doi.org/10.3390/land11030393
70. Modeling the diurnal variability of respiratory fluxes in the Canadian Terrestrial Ecosystem Model (CTEM) B. Badawy et al. https://doi.org/10.1002/2015MS000540
71. Global Carbon Budget 2016 C. Le Quéré et al. https://doi.org/10.5194/essd-8-605-2016
72. Assessment of Terrestrial Carbon Sinks in China Simulated by Multiple Vegetation Models W. Xu et al. https://doi.org/10.3390/land14061246
73. Impact of topography and meteorological forcing on snow simulation in the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) L. Wang et al. https://doi.org/10.5194/gmd-18-6597-2025
74. The sensitivity of simulated competition between different plant functional types to subgrid‐scale representation of vegetation in a land surface model R. Shrestha et al. https://doi.org/10.1002/2015JG003234
75. Divergent historical GPP trends among state-of-the-art multi-model simulations and satellite-based products R. Yang et al. https://doi.org/10.5194/esd-13-833-2022
76. Evaluating the Performance of the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) Tailored to the Pan‐Canadian Domain S. Curasi et al. https://doi.org/10.1029/2022MS003480
77. Integrating peatlands into the coupled Canadian Land Surface Scheme (CLASS) v3.6 and the Canadian Terrestrial Ecosystem Model (CTEM) v2.0 Y. Wu et al. https://doi.org/10.5194/gmd-9-2639-2016
78. An abrupt shift in gross primary productivity over Eastern China-Mongolia and its inter-model diversity in land surface models D. Lee et al. https://doi.org/10.1038/s41598-023-49763-1
79. Impact of fire on global land surface air temperature and energy budget for the 20th century due to changes within ecosystems F. Li et al. https://doi.org/10.1088/1748-9326/aa6685
80. Do CMIP6 earth system models outperform their predecessors in simulating global vegetation changes? R. Xu et al. https://doi.org/10.1016/j.agrformet.2026.111067
81. Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling S. Pan et al. https://doi.org/10.5194/hess-24-1485-2020
82. Simulating net ecosystem exchange under seasonal snow cover at an Arctic tundra site V. Dutch et al. https://doi.org/10.5194/bg-21-825-2024
83. Comparison and Assessment of Regional and Global Land Cover Datasets for Use in CLASS over Canada L. Wang et al. https://doi.org/10.3390/rs11192286
84. Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models M. Forkel et al. https://doi.org/10.5194/bg-16-57-2019
85. The Impact of Climate Forcing Biases and the Nitrogen Cycle on Land Carbon Balance Projections C. Seiler et al. https://doi.org/10.1029/2023MS003749
86. Evaluating GPP and Respiration Estimates Over Northern Midlatitude Ecosystems Using Solar‐Induced Fluorescence and Atmospheric CO2 Measurements B. Byrne et al. https://doi.org/10.1029/2018JG004472
87. Assessing Model Predictions of Carbon Dynamics in Global Drylands D. Fawcett et al. https://doi.org/10.3389/fenvs.2022.790200
88. Potential near‐future carbon uptake overcomes losses from a large insect outbreak in British Columbia, Canada V. Arora et al. https://doi.org/10.1002/2015GL067532
89. Dynamic temperature sensitivity improves simulated ecosystem respiration in a coupled land-atmosphere model T. Wang et al. https://doi.org/10.1016/j.ecolmodel.2025.111393
90. Implementation of nitrogen cycle in the CLASSIC land model A. Asaadi & V. Arora https://doi.org/10.5194/bg-18-669-2021
91. 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. https://doi.org/10.5194/gmd-13-2825-2020
92. Reconstructing the Seasonality and Trend in Global Leaf Area Index During 2001–2017 for Prognostic Modeling M. Wang et al. https://doi.org/10.1029/2020JG005698
93. Reduction in global area burned and wildfire emissions since 1930s enhances carbon uptake by land V. Arora & J. Melton https://doi.org/10.1038/s41467-018-03838-0
94. Variability and quasi-decadal changes in the methane budget over the period 2000–2012 M. Saunois et al. https://doi.org/10.5194/acp-17-11135-2017
95. Impact of the 2015/2016 El Niño on the terrestrial carbon cycle constrained by bottom-up and top-down approaches A. Bastos et al. https://doi.org/10.1098/rstb.2017.0304
96. Modeling long-term fire impact on ecosystem characteristics and surface energy using a process-based vegetation–fire model SSiB4/TRIFFID-Fire v1.0 H. Huang et al. https://doi.org/10.5194/gmd-13-6029-2020
97. An improved parameterization of leaf area index (LAI) seasonality in the Canadian Land Surface Scheme (CLASS) and Canadian Terrestrial Ecosystem Model (CTEM) modelling framework A. Asaadi et al. https://doi.org/10.5194/bg-15-6885-2018
98. Towards an ensemble-based evaluation of land surface models in light of uncertain forcings and observations V. Arora et al. https://doi.org/10.5194/bg-20-1313-2023
99. Comparing simulated tree biomass from daily, monthly, and seasonal climate input of terrestrial ecosystem model Q. Wang et al. https://doi.org/10.1016/j.ecolmodel.2023.110420
100. Role of Fire in the Global Land Water Budget during the Twentieth Century due to Changing Ecosystems F. Li & D. Lawrence https://doi.org/10.1175/JCLI-D-16-0460.1
101. Comparison of forest above‐ground biomass from dynamic global vegetation models with spatially explicit remotely sensed observation‐based estimates H. Yang et al. https://doi.org/10.1111/gcb.15117
102. In situ warming causes thermal divergence in photosynthetic capacity between two boreal conifers classified as the same plant functional type W. Vaughn et al. https://doi.org/10.3389/ffgc.2026.1814554
103. Comparing machine learning-derived global estimates of soil respiration and its components with those from terrestrial ecosystem models H. Lu et al. https://doi.org/10.1088/1748-9326/abf526
104. Comparing assumptions and applications of dynamic vegetation models used in the Arctic-Boreal zone of Alaska and Canada E. Heffernan et al. https://doi.org/10.1088/1748-9326/ad6619
105. Global Carbon Budget 2019 P. Friedlingstein et al. https://doi.org/10.5194/essd-11-1783-2019
106. Canada's Forests Are Shifting From a Recovery‐Driven Carbon Sink to a Disturbance‐Driven Carbon Source S. Curasi et al. https://doi.org/10.1111/gcb.70958
107. Global Carbon Budget Study using Global Carbon Cycle Model O. Kwon & J. Jung https://doi.org/10.5322/JESI.2018.27.12.1169
108. Examining the sensitivity of the terrestrial carbon cycle to the expression of El Niño L. Teckentrup et al. https://doi.org/10.5194/bg-18-2181-2021
109. Sources of Uncertainty in Regional and Global Terrestrial CO2 Exchange Estimates A. Bastos et al. https://doi.org/10.1029/2019GB006393
110. Accounting for forest age in the tile-based dynamic global vegetation model JSBACH4 (4.20p7; git feature/forests) – a land surface model for the ICON-ESM J. Nabel et al. https://doi.org/10.5194/gmd-13-185-2020
111. Global and Regional Trends and Drivers of Fire Under Climate Change M. Jones et al. https://doi.org/10.1029/2020RG000726
112. Assessment of a hydrologic-land surface model to simulate thermo-hydrologic evolution of permafrost regions M. Abdelhamed et al. https://doi.org/10.1016/j.jhydrol.2024.132161
113.  RETRACTED ARTICLE: A constraint on historic growth in global photosynthesis due to increasing CO2 T. Keenan et al. https://doi.org/10.1038/s41586-021-04096-9