213 citations as recorded by crossref.

1. Assessing Surface Solar Radiation Fluxes in the CMIP Ensembles A. Loew et al. 10.1175/JCLI-D-14-00503.1
2. Statistical uncertainty of eddy covariance CO2 fluxes inferred using a residual bootstrap approach H. Wang et al. 10.1016/j.agrformet.2015.03.011
3. Spatiotemporal Changes and Driver Analysis of Ecosystem Respiration in the Tibetan and Inner Mongolian Grasslands W. Liu et al. 10.3390/rs14153563
4. The Jena Diversity-Dynamic Global Vegetation Model (JeDi-DGVM): a diverse approach to representing terrestrial biogeography and biogeochemistry based on plant functional trade-offs R. Pavlick et al. 10.5194/bg-10-4137-2013
5. Meta-analysis of high-latitude nitrogen-addition and warming studies implies ecological mechanisms overlooked by land models N. Bouskill et al. 10.5194/bg-11-6969-2014
6. Forest Biomass and Net Primary Productivity in Southwestern China: A Meta-Analysis Focusing on Environmental Driving Factors L. Liu et al. 10.3390/f7080173
7. Simulating the atmospheric CO2 concentration across the heterogeneous landscape of Denmark using a coupled atmosphere–biosphere mesoscale model system A. Lansø et al. 10.5194/bg-16-1505-2019
8. A warm-season comparison of WRF coupled to the CLM4.0, Noah-MP, and Bucket hydrology land surface schemes over the central USA M. Van Den Broeke et al. 10.1007/s00704-017-2301-8
9. Impacts of benchmarking choices on inferred model skill of the Arctic–Boreal terrestrial carbon cycle J. Poe et al. 10.1088/2752-664X/adacee
10. Competition alters predicted forest carbon cycle responses to nitrogen availability and elevated CO2: simulations using an explicitly competitive, game-theoretic vegetation demographic model E. Weng et al. 10.5194/bg-16-4577-2019
11. 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
12. Evaluating theories of drought‐induced vegetation mortality using a multimodel–experiment framework N. McDowell et al. 10.1111/nph.12465
13. Drought, Heat, and the Carbon Cycle: a Review S. Sippel et al. 10.1007/s40641-018-0103-4
14. Simulating the land carbon sink: Progresses and challenges of terrestrial ecosystem models W. Yuan et al. 10.1016/j.agrformet.2024.110264
15. Interannual variability of ecosystem carbon exchange: From observation to prediction S. Niu et al. 10.1111/geb.12633
16. Aridity-dependent resistance but strong resilience of grassland ANPP to naturally occurring precipitation extremes S. Ning et al. 10.1093/jpe/rtae084
17. The Variable Infiltration Capacity model version 5 (VIC-5): infrastructure improvements for new applications and reproducibility J. Hamman et al. 10.5194/gmd-11-3481-2018
18. A global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset J. Schellekens et al. 10.5194/essd-9-389-2017
19. Global evaluation of the Ecosystem Demography model (ED v3.0) L. Ma et al. 10.5194/gmd-15-1971-2022
20. Integrative ecology in the era of big data—From observation to prediction S. Niu et al. 10.1007/s11430-020-9664-6
21. Benchmarking a Soil Moisture Data Assimilation System for Agricultural Drought Monitoring E. Han et al. 10.1175/JHM-D-13-0125.1
22. Nitrogen limitation on land: how can it occur in Earth system models? R. Thomas et al. 10.1111/gcb.12813
23. A Bibliometric Analysis of the Research Progress and Trends during 2002–2022 on the Carbon Stocks in Terrestrial Ecosystems S. Sawirdin et al. 10.3390/f14102051
24. On the applicability of surrogate‐based Markov chain Monte Carlo‐Bayesian inversion to the Community Land Model: Case studies at flux tower sites M. Huang et al. 10.1002/2015JD024339
25. 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
26. A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks Y. Zhang et al. 10.5194/bg-15-5779-2018
27. Bayesian Calibration of the Community Land Model Using Surrogates J. Ray et al. 10.1137/140957998
28. The role of remote sensing in process-scaling studies of managed forest ecosystems J. Masek et al. 10.1016/j.foreco.2015.05.032
29. Observational needs for estimating Alaskan soil carbon stocks under current and future climate U. Vitharana et al. 10.1002/2016JG003421
30. Vegetation demographics in Earth System Models: A review of progress and priorities R. Fisher et al. 10.1111/gcb.13910
31. The Terrestrial Biosphere Model Farm J. Fisher et al. 10.1029/2021MS002676
32. Challenging a Global Land Surface Model in a Local Socio-Environmental System K. Dahlin et al. 10.3390/land9100398
33. 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
34. Identifying uncertainties in scenarios and models of socio-ecological systems in support of decision-making M. Rounsevell et al. 10.1016/j.oneear.2021.06.003
35. How do I know if my forecasts are better? Using benchmarks in hydrological ensemble prediction F. Pappenberger et al. 10.1016/j.jhydrol.2015.01.024
36. Terrestrial and marine perspectives on modeling organic matter degradation pathways A. Burd et al. 10.1111/gcb.12987
37. Nitrogen cycling in CMIP6 land surface models: progress and limitations T. Davies-Barnard et al. 10.5194/bg-17-5129-2020
38. Constraining estimates of global soil respiration by quantifying sources of variability J. Jian et al. 10.1111/gcb.14301
39. Scale-dependency of Arctic ecosystem properties revealed by UAV M. Siewert & J. Olofsson 10.1088/1748-9326/aba20b
40. Empirically Derived Sensitivity of Vegetation to Climate across Global Gradients of Temperature and Precipitation G. Quetin & A. Swann 10.1175/JCLI-D-16-0829.1
41. Benchmark estimates for aboveground litterfall data derived from ecosystem models S. Li et al. 10.1088/1748-9326/ab2ee4
42. Terrestrial gross primary production inferred from satellite fluorescence and vegetation models N. Parazoo et al. 10.1111/gcb.12652
43. 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
44. Evaluation of a Data Assimilation System for Land Surface Models Using CLM4.5 A. Fox et al. 10.1029/2018MS001362
45. Impacts of soil–aquifer heat and water fluxes on simulated global climate N. Krakauer et al. 10.5194/hess-17-1963-2013
46. Decadal fates and impacts of nitrogen additions on temperate forest carbon storage: a data–model comparison S. Cheng et al. 10.5194/bg-16-2771-2019
47. Evaluating common land model energy fluxes using FLUXNET data X. Zhang et al. 10.1007/s00376-017-6251-y
48. Ecosystem‐level controls on root‐rhizosphere respiration F. Hopkins et al. 10.1111/nph.12271
49. Challenges and opportunities in land surface modelling of savanna ecosystems R. Whitley et al. 10.5194/bg-14-4711-2017
50. 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
51. Evaluating the Community Land Model in a pine stand with shading manipulations and 13CO2 labeling J. Mao et al. 10.5194/bg-13-641-2016
52. Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0) E. Weng et al. 10.5194/gmd-15-8153-2022
53. Multiple-constraint inversion of SCOPE. Evaluating the potential of GPP and SIF for the retrieval of plant functional traits J. Pacheco-Labrador et al. 10.1016/j.rse.2019.111362
54. Capability of the variogram to quantify the spatial patterns of surface fluxes and soil moisture simulated by land surface models S. Garrigues et al. 10.1177/0309133320986147
55. Testing a land model in ecosystem functional space via a comparison of observed and modeled ecosystem flux responses to precipitation regimes and associated stresses in a Central U.S. forest L. Gu et al. 10.1002/2015JG003302
56. Joint CO2 Mole Fraction and Flux Analysis Confirms Missing Processes in CASA Terrestrial Carbon Uptake Over North America S. Feng et al. 10.1029/2020GB006914
57. A fully traits-based approach to modeling global vegetation distribution P. van Bodegom et al. 10.1073/pnas.1304551110
58. Predicting sub‐continental fuel hazard under future climate and rising atmospheric CO2 concentration J. Yang et al. 10.1111/1365-2664.14486
59. Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States E. Towler et al. 10.5194/hess-27-1809-2023
60. Using research networks to create the comprehensive datasets needed to assess nutrient availability as a key determinant of terrestrial carbon cycling S. Vicca et al. 10.1088/1748-9326/aaeae7
61. Earth system data cubes unravel global multivariate dynamics M. Mahecha et al. 10.5194/esd-11-201-2020
62. A wavelet-based approach to streamflow event identification and modeled timing error evaluation E. Towler & J. McCreight 10.5194/hess-25-2599-2021
63. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review G. Balsamo et al. 10.3390/rs10122038
64. Uncertainty analysis of terrestrial net primary productivity and net biome productivity in China during 1901–2005 J. Shao et al. 10.1002/2015JG003062
65. A Bayesian ensemble data assimilation to constrain model parameters and land-use carbon emissions S. Lienert & F. Joos 10.5194/bg-15-2909-2018
66. Iterative near-term ecological forecasting: Needs, opportunities, and challenges M. Dietze et al. 10.1073/pnas.1710231115
67. Systematic Global Evaluation of Seasonal Climate Forecast Skill for Monthly Precipitation of JMA/MRI-CPS2 Compared with a Statistical Forecast System Using Climate Indices Y. MASUTOMI et al. 10.2151/jmsj.2023-014
68. Beyond Static Benchmarking: Using Experimental Manipulations to Evaluate Land Model Assumptions W. Wieder et al. 10.1029/2018GB006141
69. Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0 G. Schürmann et al. 10.5194/gmd-9-2999-2016
70. Quantitative assessment of the parameterization sensitivity of the Noah-MP land surface model with dynamic vegetation using ChinaFLUX data Q. Yang et al. 10.1016/j.agrformet.2021.108542
71. 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
72. Towards improved and more routine Earth system model evaluation in CMIP V. Eyring et al. 10.5194/esd-7-813-2016
73. 100 Years of Progress in Boundary Layer Meteorology M. LeMone et al. 10.1175/AMSMONOGRAPHS-D-18-0013.1
74. Supporting hierarchical soil biogeochemical modeling: version 2 of the Biogeochemical Transport and Reaction model (BeTR-v2) J. Tang et al. 10.5194/gmd-15-1619-2022
75. Hydroclimatic Controls on the Means and Variability of Vegetation Phenology and Carbon Uptake R. Koster et al. 10.1175/JCLI-D-13-00477.1
76. Toward “optimal” integration of terrestrial biosphere models C. Schwalm et al. 10.1002/2015GL064002
77. Reliable, robust and realistic: the three R's of next-generation land-surface modelling I. Prentice et al. 10.5194/acp-15-5987-2015
78. Divergence in land surface modeling: linking spread to structure C. Schwalm et al. 10.1088/2515-7620/ab4a8a
79. Deep learning and process understanding for data-driven Earth system science M. Reichstein et al. 10.1038/s41586-019-0912-1
80. Evaluating three evapotranspiration estimates from model of different complexity over China using the ILAMB benchmarking system G. Wu et al. 10.1016/j.jhydrol.2020.125553
81. A generic biogeochemical module for Earth system models: Next Generation BioGeoChemical Module (NGBGC), version 1.0 Y. Fang et al. 10.5194/gmd-6-1977-2013
82. Exploring the impacts of unprecedented climate extremes on forest ecosystems: hypotheses to guide modeling and experimental studies J. Holm et al. 10.5194/bg-20-2117-2023
83. An extended approach for spatiotemporal gapfilling: dealing with large and systematic gaps in geoscientific datasets J. v. Buttlar et al. 10.5194/npg-21-203-2014
84. The Rainfall Sensitivity of Tropical Net Primary Production in CMIP5 Twentieth- and Twenty-First-Century Simulations* R. Negrón-Juárez et al. 10.1175/JCLI-D-14-00675.1
85. Divergent predictions of carbon storage between two global land models: attribution of the causes through traceability analysis R. Rafique et al. 10.5194/esd-7-649-2016
86. Competing effects of soil fertility and toxicity on tropical greening J. Fisher et al. 10.1038/s41598-020-63589-1
87. Matrix Approach to Land Carbon Cycle Modeling Y. Luo et al. 10.1029/2022MS003008
88. Editorial: Benchmarking 3D-Models of Root Growth, Architecture and Functioning A. Schnepf et al. 10.3389/fpls.2022.902587
89. Joint control of terrestrial gross primary productivity by plant phenology and physiology J. Xia et al. 10.1073/pnas.1413090112
90. senSCOPE: Modeling mixed canopies combining green and brown senesced leaves. Evaluation in a Mediterranean Grassland J. Pacheco-Labrador et al. 10.1016/j.rse.2021.112352
91. Investigation into the role of canopy structure traits and plant functional types in modulating the correlation between canopy nitrogen and reflectance in a temperate forest in northeast China Q. Yu 10.1117/1.JRS.11.046013
92. Process-Oriented Evaluation of Climate and Weather Forecasting Models E. Maloney et al. 10.1175/BAMS-D-18-0042.1
93. CO2 exchange of the ecosystem–atmosphere in a mountain forest ecosystem: Combining stable carbon isotope (δ13C) and soil respiration measurements H. Li et al. 10.1016/j.ecolind.2022.108947
94. Reviews and syntheses: Field data to benchmark the carbon cycle models for tropical forests D. Clark et al. 10.5194/bg-14-4663-2017
95. Using the International Tree-Ring Data Bank (ITRDB) records as century-long benchmarks for global land-surface models J. Jeong et al. 10.5194/gmd-14-5891-2021
96. Global evaluation of terrestrial biogeochemistry in the Energy Exascale Earth System Model (E3SM) and the role of the phosphorus cycle in the historical terrestrial carbon balance X. Yang et al. 10.5194/bg-20-2813-2023
97. Joint structural and physiological control on the interannual variation in productivity in a temperate grassland: A data‐model comparison Z. Hu et al. 10.1111/gcb.14274
98. Benchmarking NLDAS-2 Soil Moisture and Evapotranspiration to Separate Uncertainty Contributions G. Nearing et al. 10.1175/JHM-D-15-0063.1
99. Consistency between sun-induced chlorophyll fluorescence and gross primary production of vegetation in North America Y. Zhang et al. 10.1016/j.rse.2016.05.015
100. Reconciling carbon‐cycle processes from ecosystem to global scales A. Ballantyne et al. 10.1002/fee.2296
101. 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
102. Taking climate model evaluation to the next level V. Eyring et al. 10.1038/s41558-018-0355-y
103. Model prediction of biome‐specific global soil respiration from 1960 to 2012 Z. Zhao et al. 10.1002/2016EF000480
104. How the performance of hydrological models relates to credibility of projections under climate change V. Krysanova et al. 10.1080/02626667.2018.1446214
105. Underestimated Interannual Variability of Terrestrial Vegetation Production by Terrestrial Ecosystem Models S. Lin et al. 10.1029/2023GB007696
106. ISS observations offer insights into plant function E. Stavros et al. 10.1038/s41559-017-0194
107. Using ecosystem experiments to improve vegetation models B. Medlyn et al. 10.1038/nclimate2621
108. C4MIP – The Coupled Climate–Carbon Cycle Model Intercomparison Project: experimental protocol for CMIP6 C. Jones et al. 10.5194/gmd-9-2853-2016
109. Using results from global change experiments to inform land model development and calibration J. Dukes et al. 10.1111/nph.13083
110. Observational benchmarks inform representation of soil organic carbon dynamics in land surface models K. Nyaupane et al. 10.5194/bg-21-5173-2024
111. A comprehensive benchmarking system for evaluating global vegetation models D. Kelley et al. 10.5194/bg-10-3313-2013
112. The value of soil respiration measurements for interpreting and modeling terrestrial carbon cycling C. Phillips et al. 10.1007/s11104-016-3084-x
113. Toward a better integration of biological data from precipitation manipulation experiments into Earth system models N. Smith et al. 10.1002/2014RG000458
114. Assimilation of multiple datasets results in large differences in regional- to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model C. Bacour et al. 10.5194/bg-20-1089-2023
115. Photosynthetic productivity and its efficiencies in ISIMIP2a biome models: benchmarking for impact assessment studies A. Ito et al. 10.1088/1748-9326/aa7a19
116. Stepwise sensitivity analysis from qualitative to quantitative: Application to the terrestrial hydrological modeling of a Conjunctive Surface‐Subsurface Process (CSSP) land surface model Y. Gan et al. 10.1002/2014MS000406
117. Projections of leaf area index in earth system models N. Mahowald et al. 10.5194/esd-7-211-2016
118. Evaluating the Interplay Between Biophysical Processes and Leaf Area Changes in Land Surface Models G. Forzieri et al. 10.1002/2018MS001284
119. Benchmarking the seasonal cycle of CO2 fluxes simulated by terrestrial ecosystem models S. Peng et al. 10.1002/2014GB004931
120. Explicitly representing soil microbial processes in Earth system models W. Wieder et al. 10.1002/2015GB005188
121. 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
122. Evaluating Climate Models with an African Lens R. James et al. 10.1175/BAMS-D-16-0090.1
123. The North American Carbon Program Multi-Scale Synthesis and Terrestrial Model Intercomparison Project – Part 1: Overview and experimental design D. Huntzinger et al. 10.5194/gmd-6-2121-2013
124. Artificial neural networks and deep learning in urban geography: A systematic review and meta-analysis G. Grekousis 10.1016/j.compenvurbsys.2018.10.008
125. Traceable components of terrestrial carbon storage capacity in biogeochemical models J. Xia et al. 10.1111/gcb.12172
126. Calibration of the E3SM Land Model Using Surrogate‐Based Global Optimization D. Lu et al. 10.1002/2017MS001134
127. 100 Years of Earth System Model Development D. Randall et al. 10.1175/AMSMONOGRAPHS-D-18-0018.1
128. Benchmarking of a Physically Based Hydrologic Model A. Newman et al. 10.1175/JHM-D-16-0284.1
129. OpenForecast v2: Development and Benchmarking of the First National-Scale Operational Runoff Forecasting System in Russia G. Ayzel 10.3390/hydrology8010003
130. Microbial Models for Simulating Soil Carbon Dynamics: A Review A. Chandel et al. 10.1029/2023JG007436
131. The impact of structural error on parameter constraint in a climate model D. McNeall et al. 10.5194/esd-7-917-2016
132. Benchmarking and parameter sensitivity of physiological and vegetation dynamics using the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) at Barro Colorado Island, Panama C. Koven et al. 10.5194/bg-17-3017-2020
133. The AmeriFlux network: A coalition of the willing K. Novick et al. 10.1016/j.agrformet.2017.10.009
134. Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems M. Scholze et al. 10.5194/bg-14-3401-2017
135. Reviews and syntheses: Four decades of modeling methane cycling in terrestrial ecosystems X. Xu et al. 10.5194/bg-13-3735-2016
136. A framework for assessing the computational reproducibility of geo-simulation experiments Z. Zhu et al. 10.1016/j.envsoft.2025.106323
137. The Land Use Model Intercomparison Project (LUMIP) contribution to CMIP6: rationale and experimental design D. Lawrence et al. 10.5194/gmd-9-2973-2016
138. Reconciling inconsistencies in precipitation–productivity relationships: implications for climate change A. Knapp et al. 10.1111/nph.14381
139. The International Land Model Benchmarking (ILAMB) System: Design, Theory, and Implementation N. Collier et al. 10.1029/2018MS001354
140. How well do terrestrial biosphere models simulate coarse-scale runoff in the contiguous United States? C. Schwalm et al. 10.1016/j.ecolmodel.2015.02.006
141. Recent trends and drivers of regional sources and sinks of carbon dioxide S. Sitch et al. 10.5194/bg-12-653-2015
142. Toward accounting for ecoclimate teleconnections: intra- and inter-continental consequences of altered energy balance after vegetation change S. Stark et al. 10.1007/s10980-015-0282-5
143. A synthesis dataset of permafrost-affected soil thermal conditions for Alaska, USA K. Wang et al. 10.5194/essd-10-2311-2018
144. Causes of variation in soil carbon simulations from CMIP5 Earth system models and comparison with observations K. Todd-Brown et al. 10.5194/bg-10-1717-2013
145. A HINDCAST EXPERIMENT USING THE GCAM 3.0 AGRICULTURE AND LAND-USE MODULE K. CALVIN et al. 10.1142/S2010007817500051
146. Carbon cycling in mature and regrowth forests globally K. Anderson-Teixeira et al. 10.1088/1748-9326/abed01
147. New Representation of Plant Hydraulics Improves the Estimates of Transpiration in Land Surface Model H. Li et al. 10.3390/f12060722
148. Coincidences of climate extremes and anomalous vegetation responses: comparing tree ring patterns to simulated productivity A. Rammig et al. 10.5194/bg-12-373-2015
149. Changes in soil organic carbon storage predicted by Earth system models during the 21st century K. Todd-Brown et al. 10.5194/bg-11-2341-2014
150. Predictability of the terrestrial carbon cycle Y. Luo et al. 10.1111/gcb.12766
151. Process-level model evaluation: a snow and heat transfer metric A. Slater et al. 10.5194/tc-11-989-2017
152. Development of a Regional Gridded Runoff Dataset Using Long Short-Term Memory (LSTM) Networks G. Ayzel et al. 10.3390/hydrology8010006
153. Predictive systems ecology M. Evans et al. 10.1098/rspb.2013.1452
154. FluxnetLSM R package (v1.0): a community tool for processing FLUXNET data for use in land surface modelling A. Ukkola et al. 10.5194/gmd-10-3379-2017
155. Benchmarking and Process Diagnostics of Land Models G. Nearing et al. 10.1175/JHM-D-17-0209.1
156. Tree diversity reduced to the bare essentials H. Bugmann 10.1126/science.abb7020
157. Representing Nitrogen, Phosphorus, and Carbon Interactions in the E3SM Land Model: Development and Global Benchmarking Q. Zhu et al. 10.1029/2018MS001571
158. Modeling the Terrestrial Biosphere J. Fisher et al. 10.1146/annurev-environ-012913-093456
159. Recent trends in Inner Asian forest dynamics to temperature and precipitation indicate high sensitivity to climate change B. Poulter et al. 10.1016/j.agrformet.2012.12.006
160. Call for Participation: Collaborative Benchmarking of Functional-Structural Root Architecture Models. The Case of Root Water Uptake A. Schnepf et al. 10.3389/fpls.2020.00316
161. Microbial Activity and Root Carbon Inputs Are More Important than Soil Carbon Diffusion in Simulating Soil Carbon Profiles Y. Wang et al. 10.1029/2020JG006205
162. A Systematic Evaluation of Noah‐MP in Simulating Land‐Atmosphere Energy, Water, and Carbon Exchanges Over the Continental United States N. Ma et al. 10.1002/2017JD027597
163. Scale-Dependent Performance of CMIP5 Earth System Models in Simulating Terrestrial Vegetation Carbon* L. Jiang et al. 10.1175/JCLI-D-14-00270.1
164. Narrowing the Range of Future Climate Projections Using Historical Observations of Atmospheric CO2 B. Booth et al. 10.1175/JCLI-D-16-0178.1
165. Global Evaluation of the Noah‐MP Land Surface Model and Suggestions for Selecting Parameterization Schemes J. Li et al. 10.1029/2021JD035753
166. Representing leaf and root physiological traits in CLM improves global carbon and nitrogen cycling predictions B. Ghimire et al. 10.1002/2015MS000538
167. Mineral and Climatic Controls Over Soil Organic Matter Stability Across the Tibetan Alpine Permafrost Region K. Fang et al. 10.1029/2021GB007118
168. Few multiyear precipitation–reduction experiments find a shift in the productivity–precipitation relationship M. Estiarte et al. 10.1111/gcb.13269
169. Improving the representation of hydrologic processes in Earth System Models M. Clark et al. 10.1002/2015WR017096
170. Approaches for Improving Field Soil Identification Z. Fan et al. 10.2136/sssaj2017.09.0337
171. Frameworks on Patterns of Grasslands’ Sensitivity to Forecast Extreme Drought T. Muraina 10.3390/su12197837
172. 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
173. Carbon–nitrogen interactions in idealized simulations with JSBACH (version 3.10) D. Goll et al. 10.5194/gmd-10-2009-2017
174. Water response of ecosystem respiration regulates future projection of net ecosystem productivity in a semiarid grassland L. Lei et al. 10.1016/j.agrformet.2018.01.020
175. The Arctic-Boreal vulnerability experiment model benchmarking system E. Stofferahn et al. 10.1088/1748-9326/ab10fa
176. Implications of improved representations of plant respiration in a changing climate C. Huntingford et al. 10.1038/s41467-017-01774-z
177. Decadal Stabilization of Soil Inorganic Nitrogen as a Benchmark for Global Land Models N. Wei et al. 10.1029/2019MS001633
178. 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
179. Observing terrestrial ecosystems and the carbon cycle from space D. Schimel et al. 10.1111/gcb.12822
180. Imaging spectroscopy- and lidar-derived estimates of canopy composition and structure to improve predictions of forest carbon fluxes and ecosystem dynamics A. Antonarakis et al. 10.1002/2013GL058373
181. Significant inconsistency of vegetation carbon density in CMIP5 Earth system models against observational data X. Song et al. 10.1002/2017JG003914
182. The status and challenge of global fire modelling S. Hantson et al. 10.5194/bg-13-3359-2016
183. Precipitation and carbon-water coupling jointly control the interannual variability of global land gross primary production Y. Zhang et al. 10.1038/srep39748
184. Simulating vegetation response to climate change in the Blue Mountains with MC2 dynamic global vegetation model J. Kim et al. 10.1016/j.cliser.2018.04.001
185. Uncertainty Quantification of Extratropical Forest Biomass in CMIP5 Models over the Northern Hemisphere C. Yang et al. 10.1038/s41598-018-29227-7
186. How far can the uncertainty on a Digital Soil Map be known?: A numerical experiment using pseudo values of clay content obtained from Vis-SWIR hyperspectral imagery P. Lagacherie et al. 10.1016/j.geoderma.2018.08.024
187. LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation S. Schaphoff et al. 10.5194/gmd-11-1377-2018
188. Representing agriculture in Earth System Models: Approaches and priorities for development S. McDermid et al. 10.1002/2016MS000749
189. Midwest US Croplands Determine Model Divergence in North American Carbon Fluxes W. Sun et al. 10.1029/2020AV000310
190. Reducing uncertainty in projections of terrestrial carbon uptake N. Lovenduski & G. Bonan 10.1088/1748-9326/aa66b8
191. Development of a REgion‐Specific Ecosystem Feedback Fire (RESFire) Model in the Community Earth System Model Y. Zou et al. 10.1029/2018MS001368
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