66 citations as recorded by crossref.

1. Matrix Approach to Accelerate Spin‐Up of CLM5 C. Liao et al. 10.1029/2023MS003625
2. Toward more realistic projections of soil carbon dynamics by Earth system models Y. Luo et al. 10.1002/2015GB005239
3. Parameter calibration in global soil carbon models using surrogate-based optimization H. Xu et al. 10.5194/gmd-11-3027-2018
4. Multi‐modelling predictions show high uncertainty of required carbon input changes to reach a 4‰ target E. Bruni et al. 10.1111/ejss.13330
5. Matrix representation of lateral soil movements: scaling and calibrating CE-DYNAM (v2) at a continental level A. Fendrich et al. 10.5194/gmd-15-7835-2022
6. The Canadian model for peatlands (CaMP): A peatland carbon model for national greenhouse gas reporting K. Bona et al. 10.1016/j.ecolmodel.2020.109164
7. Uncertainty propagation in a global biogeochemical model driven by leaf area data C. Bian & J. Xia 10.3389/fevo.2023.1105832
8. Accounting for disturbance history in models: using remote sensing to constrain carbon and nitrogen pool spin‐up E. Hanan et al. 10.1002/eap.1718
9. Response of microbial decomposition to spin-up explains CMIP5 soil carbon range until 2100 J. Exbrayat et al. 10.5194/gmd-7-2683-2014
10. Disentangling residence time and temperature sensitivity of microbial decomposition in a global soil carbon model J. Exbrayat et al. 10.5194/bg-11-6999-2014
11. Microbial Models for Simulating Soil Carbon Dynamics: A Review A. Chandel et al. 10.1029/2023JG007436
12. Ecosystem carbon transit versus turnover times in response to climate warming and rising atmospheric CO<sub>2</sub> concentration X. Lu et al. 10.5194/bg-15-6559-2018
13. Covariations between plant functional traits emerge from constraining parameterization of a terrestrial biosphere model M. Peaucelle et al. 10.1111/geb.12937
14. A traceability analysis system for model evaluation on land carbon dynamics: design and applications J. Zhou et al. 10.1186/s13717-021-00281-w
15. Simulation of terrestrial carbon equilibrium state by using a detachable carbon cycle scheme Z. Wang et al. 10.1016/j.ecolind.2016.12.014
16. Microbial models with data‐driven parameters predict stronger soil carbon responses to climate change O. Hararuk et al. 10.1111/gcb.12827
17. Microbial dynamics and soil physicochemical properties explain large‐scale variations in soil organic carbon H. Zhang et al. 10.1111/gcb.14994
18. Pool dynamics of time-dependent compartmental systems with application to the terrestrial carbon cycle G. Chappelle et al. 10.1098/rsif.2022.0843
19. Integrating microbial physiology and physio-chemical principles in soils with the MIcrobial-MIneral Carbon Stabilization (MIMICS) model W. Wieder et al. 10.5194/bg-11-3899-2014
20. Across‐model spread and shrinking in predicting peatland carbon dynamics under global change E. Hou et al. 10.1111/gcb.16643
21. Modeling permafrost thaw and ecosystem carbon cycle under annual and seasonal warming at an Arctic tundra site in Alaska J. Li et al. 10.1002/2013JG002569
22. Biogeographic variation in evergreen conifer needle longevity and impacts on boreal forest carbon cycle projections P. Reich et al. 10.1073/pnas.1216054110
23. The quasi-equilibrium framework revisited: analyzing long-term CO<sub>2</sub> enrichment responses in plant–soil models M. Jiang et al. 10.5194/gmd-12-2069-2019
24. A vertically discretised canopy description for ORCHIDEE (SVN r2290) and the modifications to the energy, water and carbon fluxes K. Naudts et al. 10.5194/gmd-8-2035-2015
25. Transit times and mean ages for nonautonomous and autonomous compartmental systems M. Rasmussen et al. 10.1007/s00285-016-0990-8
26. Improving SWAT for simulating water and carbon fluxes of forest ecosystems Q. Yang & X. Zhang 10.1016/j.scitotenv.2016.06.238
27. Nitrogen Deposition Maintains a Positive Effect on Terrestrial Carbon Sequestration in the 21st Century Despite Growing Phosphorus Limitation at Regional Scales K. Fleischer et al. 10.1029/2018GB005952
28. Nutrient Limitations Lead to a Reduced Magnitude of Disequilibrium in the Global Terrestrial Carbon Cycle N. Wei et al. 10.1029/2021JG006764
29. Potential for bias in effective climate sensitivity from state-dependent energetic imbalance B. Sanderson & M. Rugenstein 10.5194/esd-13-1715-2022
30. Dominant regions and drivers of the variability of the global land carbon sink across timescales X. Zhang et al. 10.1111/gcb.14275
31. Evaluating the effect of alternative carbon allocation schemes in a land surface model (CLM4.5) on carbon fluxes, pools, and turnover in temperate forests F. Montané et al. 10.5194/gmd-10-3499-2017
32. Matrix approach to land carbon cycle modeling: A case study with the Community Land Model Y. Huang et al. 10.1111/gcb.13948
33. Matrix‐Based Sensitivity Assessment of Soil Organic Carbon Storage: A Case Study from the ORCHIDEE‐MICT Model Y. Huang et al. 10.1029/2017MS001237
34. Divergence in land surface modeling: linking spread to structure C. Schwalm et al. 10.1088/2515-7620/ab4a8a
35. Global soil carbon projections are improved by modelling microbial processes W. Wieder et al. 10.1038/nclimate1951
36. Evaluation of a Data Assimilation System for Land Surface Models Using CLM4.5 A. Fox et al. 10.1029/2018MS001362
37. Predictability of the terrestrial carbon cycle Y. Luo et al. 10.1111/gcb.12766
38. Additional carbon inputs to reach a 4 per 1000 objective in Europe: feasibility and projected impacts of climate change based on Century simulations of long-term arable experiments E. Bruni et al. 10.5194/bg-18-3981-2021
39. Carbon–nitrogen coupling under three schemes of model representation: a traceability analysis Z. Du et al. 10.5194/gmd-11-4399-2018
40. Global carbon assimilation system using a local ensemble Kalman filter with multiple ecosystem models S. Zhang et al. 10.1002/2014JG002792
41. C4MIP – The Coupled Climate–Carbon Cycle Model Intercomparison Project: experimental protocol for CMIP6 C. Jones et al. 10.5194/gmd-9-2853-2016
42. Technical Note: An efficient method for accelerating the spin-up process for process-based biogeochemistry models Y. Qu et al. 10.5194/bg-15-3967-2018
43. The effect of vertically resolved soil biogeochemistry and alternate soil C and N models on C dynamics of CLM4 C. Koven et al. 10.5194/bg-10-7109-2013
44. Accelerating the spin-up of the coupled carbon and nitrogen cycle model in CLM4 Y. Fang et al. 10.5194/gmd-8-781-2015
45. Underestimated ecosystem carbon turnover time and sequestration under the steady state assumption: A perspective from long‐term data assimilation R. Ge et al. 10.1111/gcb.14547
46. Strategies for future robust meat production and climate change mitigation under imported input constraints in Alentejo, Portugal C. Pinsard et al. 10.1007/s13593-023-00883-y
47. Steady state estimation of soil organic carbon using satellite‐derived canopy leaf area index Y. Fang et al. 10.1002/2014MS000331
48. Full Implementation of Matrix Approach to Biogeochemistry Module of CLM5 X. Lu et al. 10.1029/2020MS002105
49. Deep Learning Optimizes Data-Driven Representation of Soil Organic Carbon in Earth System Model Over the Conterminous United States F. Tao et al. 10.3389/fdata.2020.00017
50. Multimodel Analysis of Future Land Use and Climate Change Impacts on Ecosystem Functioning A. Krause et al. 10.1029/2018EF001123
51. 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
52. Matrix Approach to Land Carbon Cycle Modeling Y. Luo et al. 10.1029/2022MS003008
53. Estimating of terrestrial carbon storage and its internal carbon exchange under equilibrium state Z. Wang 10.1016/j.ecolmodel.2019.03.008
54. A new version of the CABLE land surface model (Subversion revision r4601) incorporating land use and land cover change, woody vegetation demography, and a novel optimisation-based approach to plant coordination of photosynthesis V. Haverd et al. 10.5194/gmd-11-2995-2018
55. Traceable components of terrestrial carbon storage capacity in biogeochemical models J. Xia et al. 10.1111/gcb.12172
56. Terrestrial Ecosystem Modeling with IBIS: Progress and Future Vision L. Jinxun et al. 10.5814/j.issn.1674-764x.2022.01.001
57. Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: Part 2. Carbon Cycling K. Haynes et al. 10.1029/2018MS001541
58. Evaluation and uncertainty analysis of regional-scale CLM4.5 net carbon flux estimates H. Post et al. 10.5194/bg-15-187-2018
59. Plant Feedback Aggravates Soil Organic Carbon Loss Associated With Wind Erosion in Northwest China L. Lei et al. 10.1029/2018JG004804
60. Grassland Carbon Sequestration Ability in China: A New Perspective from Terrestrial Aridity Zones Y. Chen et al. 10.1016/j.rama.2015.09.003
61. Spin-up processes in the Community Land Model version 4 with explicit carbon and nitrogen components M. Shi et al. 10.1016/j.ecolmodel.2013.04.008
62. Linear and nonlinear effects of dominant drivers on the trends in global and regional land carbon uptake: 1959 to 2013 X. Zhang et al. 10.1002/2015GL067162
63. An explicit and computationally efficient method to initialise first-order-based soil organic matter models—The Geometric Series Solution (GSS) H. Wong et al. 10.1016/j.ecolmodel.2013.07.014
64. Critical land change information enhances the understanding of carbon balance in the United States J. Liu et al. 10.1111/gcb.15079
65. The role of residence time in diagnostic models of global carbon storage capacity: model decomposition based on a traceable scheme C. Yizhao et al. 10.1038/srep16155
66. Substantial uncertainties in global soil organic carbon simulated by multiple terrestrial carbon cycle models Z. Wang et al. 10.1002/ldr.4679