107 citations as recorded by crossref.

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10. Vulnerability of European ecosystems to two compound dry and hot summers in 2018 and 2019 A. Bastos et al. https://doi.org/10.5194/esd-12-1015-2021
11. 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
12. High-resolution LGM climate of Europe and the Alpine region using the regional climate model WRF E. Russo et al. https://doi.org/10.5194/cp-20-449-2024
13. Changes in the relationship between climate variables and vegetation carbon uptake in East Asia M. Shin et al. https://doi.org/10.1016/j.ecoinf.2025.103375
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15. Global peatland area and carbon dynamics from the Last Glacial Maximum to the present – a process-based model investigation J. Müller & F. Joos https://doi.org/10.5194/bg-17-5285-2020
16. Rainfall manipulation experiments as simulated by terrestrial biosphere models: Where do we stand? A. Paschalis et al. https://doi.org/10.1111/gcb.15024
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20. Environmental drivers constraining the seasonal variability in satellite-observed and modelled methane at northern high latitudes E. Kivimäki et al. https://doi.org/10.5194/bg-22-5193-2025
21. A Robust Estimate of Continental‐Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals L. Zhang et al. https://doi.org/10.1029/2023GL102815
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26. 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
27. The Role of Emission Sources and Atmospheric Sink in the Seasonal Cycle of CH4 and δ13-CH4: Analysis Based on the Atmospheric Chemistry Transport Model TM5 V. Kangasaho et al. https://doi.org/10.3390/atmos13060888
28. Enhanced India‐Africa Carbon Uptake and Asia‐Pacific Carbon Release Associated With the 2019 Extreme Positive Indian Ocean Dipole J. Wang et al. https://doi.org/10.1029/2022GL100950
29. Environmental and Seasonal Variability of High Latitude Methane Emissions Based on Earth Observation Data and Atmospheric Inverse Modelling A. Erkkilä et al. https://doi.org/10.3390/rs15245719
30. The benefits and trade-offs of multi-variable calibration of the WaterGAP global hydrological model (WGHM) in the Ganges and Brahmaputra basins H. Hasan et al. https://doi.org/10.5194/hess-29-567-2025
31. Partitioning anthropogenic and natural methane emissions in Finland during 2000–2021 by combining bottom-up and top-down estimates M. Tenkanen et al. https://doi.org/10.5194/acp-25-2181-2025
32. Warming climate amplifies vapor pressure deficit limits on gross primary productivity S. Xu et al. https://doi.org/10.1038/s41467-026-72549-8
33. Uncertainties in carbon emissions from land use and land cover change in Indonesia I. Brasika et al. https://doi.org/10.5194/bg-22-3547-2025
34. Understanding the Land Carbon Cycle with Space Data: Current Status and Prospects J. Exbrayat et al. https://doi.org/10.1007/s10712-019-09506-2
35. Soil respiration–driven CO 2 pulses dominate Australia’s flux variability E. Metz et al. https://doi.org/10.1126/science.add7833
36. Global Carbon Budget 2018 C. Le Quéré et al. https://doi.org/10.5194/essd-10-2141-2018
37. Three decades of simulated global terrestrial carbon fluxes from a data assimilation system confronted with different periods of observations K. Castro-Morales et al. https://doi.org/10.5194/bg-16-3009-2019
38. Harmonizing direct and indirect anthropogenic land carbon fluxes indicates a substantial missing sink in the global carbon budget since the early 20th century A. Walker et al. https://doi.org/10.1002/ppp3.10619
39. Partitioning Climatic Controls on Global Land Carbon Sink Variability: Temperature vs. Moisture Constraints Across Biomes X. Luo et al. https://doi.org/10.3390/su17219377
40. Committed and projected future changes in global peatlands – continued transient model simulations since the Last Glacial Maximum J. Müller & F. Joos https://doi.org/10.5194/bg-18-3657-2021
41. Carbon dioxide fertilization enhanced carbon sink offset by climate change and land use in Amazonia on a centennial scale B. Chen et al. https://doi.org/10.1016/j.scitotenv.2024.176903
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43. Regional contrasts of ecosystem productivity sensitivity to atmospheric CO2 growth across East Asia Y. Na et al. https://doi.org/10.5194/esd-17-1381-2026
44. Optimal canopy light-use strategy shapes global greenness dynamics Z. Zhu et al. https://doi.org/10.1038/s41467-026-76896-4
45. Melt period methane emissions in northern high latitude wetlands are governed by the length of the period and presence of permafrost S. Hyvärinen et al. https://doi.org/10.5194/acp-26-7555-2026
46. No increase is detected and modeled for the seasonal cycle amplitude of δ13C of atmospheric carbon dioxide F. Joos et al. https://doi.org/10.5194/bg-22-19-2025
47. Multi-spatial scale assessment and multi-dataset fusion of global terrestrial evapotranspiration datasets Y. Wu et al. https://doi.org/10.5194/essd-17-6445-2025
48. Global nitrous oxide budget (1980–2020) H. Tian et al. https://doi.org/10.5194/essd-16-2543-2024
49. Spatial-Temporal Characteristics and Influencing Factors of Carbon Emissions from Land Use and Land Cover in Black Soil Region of Northeast China Based on LMDI Simulation L. Chen et al. https://doi.org/10.3390/su15129334
50. Evaluating nitrogen cycling in terrestrial biosphere models: a disconnect between the carbon and nitrogen cycles S. Kou-Giesbrecht et al. https://doi.org/10.5194/esd-14-767-2023
51. Climate impact on mean annual cycle and interannual variability of CO2 fluxes in European deciduous broadleaf and evergreen needleleaf forests: insights from observations and state-of-the-art data-driven and process-based models A. Ullah et al. https://doi.org/10.5194/bg-22-4135-2025
52. Global Carbon Budget 2025 P. Friedlingstein et al. https://doi.org/10.5194/essd-18-3211-2026
53. Air temperature and precipitation constraining the modelled wetland methane emissions in a boreal region in northern Europe T. Aalto et al. https://doi.org/10.5194/bg-22-323-2025
54. Seasonal and interannual variability in CO2 fluxes in southern Africa seen by GOSAT E. Metz et al. https://doi.org/10.5194/bg-22-555-2025
55. Differences and uncertainties in land-use CO2 flux estimates W. Obermeier et al. https://doi.org/10.1038/s43017-025-00730-6
56. Pronounced inter-model uncertainties in TRENDY-simulated terrestrial carbon sink responses to hydroclimatic extremes Z. Wang et al. https://doi.org/10.1088/1748-9326/ae4b55
57. The influence of varying atmospheric CO2 on global warming potentials and carbon emission impulse response functions A. Jeltsch-Thömmes et al. https://doi.org/10.1088/1748-9326/add54b
58. First global carbon dynamics from an observational and process-informed hybrid perspective: Oversimplified respiration representation likely drives divergence in terrestrial carbon sequestration across models S. Zhu et al. https://doi.org/10.1016/j.agrformet.2026.111197
59. Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty H. Tian et al. https://doi.org/10.1111/gcb.14514
60. Global Carbon Budget 2021 P. Friedlingstein et al. https://doi.org/10.5194/essd-14-1917-2022
61. Uncertainty and Emergent Constraints on Enhanced Ecosystem Carbon Stock by Land Greening C. Bian et al. https://doi.org/10.1029/2022MS003397
62. Earth system responses to carbon dioxide removal as exemplified by ocean alkalinity enhancement: tradeoffs and lags A. Jeltsch-Thömmes et al. https://doi.org/10.1088/1748-9326/ad4401
63. Widespread consistent but rapid response of terrestrial ecosystem photosynthesis and respiratory to drought W. Guo et al. https://doi.org/10.1016/j.jhydrol.2025.133107
64. Effect of Land Use and Land Cover Change in Context of Growth Enhancements in the United States Since 1700: Net Source or Sink? B. Felzer & M. Jiang https://doi.org/10.1029/2017JG004378
65. Best practices in software development for robust and reproducible geoscientific models based on insights from the Global Carbon Budget's dynamic vegetation models K. Gregor et al. https://doi.org/10.5194/gmd-19-2407-2026
66. Fine-Scale Improved Carbon Bookkeeping Model Using Landsat Time Series for Subtropical Forest, Southern China X. Wang et al. https://doi.org/10.3390/rs14030753
67. Is there warming in the pipeline? A multi-model analysis of the Zero Emissions Commitment from CO2 A. MacDougall et al. https://doi.org/10.5194/bg-17-2987-2020
68. European anthropogenic AFOLU greenhouse gas emissions: a review and benchmark data A. Petrescu et al. https://doi.org/10.5194/essd-12-961-2020
69. Hysteresis of the Earth system under positive and negative CO2 emissions A. Jeltsch-Thömmes et al. https://doi.org/10.1088/1748-9326/abc4af
70. Importance of the memory effect for assessing interannual variation in net ecosystem exchange W. Liu et al. https://doi.org/10.1016/j.agrformet.2023.109691
71. Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks A. Marcolongo et al. https://doi.org/10.1017/eds.2022.1
72. CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes A. Tsuruta et al. https://doi.org/10.3390/rs15061620
73. Direct and seasonal legacy effects of the 2018 heat wave and drought on European ecosystem productivity A. Bastos et al. https://doi.org/10.1126/sciadv.aba2724
74. Warm and wet spring compensated for the reduction in carbon sinks due to an extreme summer heatwave-drought event in 2022 in southern China Y. Zhang et al. https://doi.org/10.1016/j.agrformet.2026.111060
75. Ocean acidification in emission-driven temperature stabilization scenarios: the role of TCRE and non-CO2 greenhouse gases J. Terhaar et al. https://doi.org/10.1088/1748-9326/acaf91
76. Satellite-Observed Greening of Human-Dominated Ecosystems in Global Dryland Y. Li et al. https://doi.org/10.34133/remotesensing.0941
77. Are Terrestrial Biosphere Models Fit for Simulating the Global Land Carbon Sink? C. Seiler et al. https://doi.org/10.1029/2021MS002946
78. Improved estimates of net ecosystem exchanges in mega-countries using GOSAT and OCO-2 observations L. Zhang et al. https://doi.org/10.1038/s43247-024-01910-w
79. Global Carbon Budget 2022 P. Friedlingstein et al. https://doi.org/10.5194/essd-14-4811-2022
80. The change pattern and spatiotemporal transition of land use carbon emissions in China's Three-North Shelterbelt Program Region L. Yang et al. https://doi.org/10.1016/j.ecoleng.2025.107680
81. Probabilistic Assessment of the Impact of Compound Dry and Hot Events on Vegetation Drought Over Northwestern China J. Lu et al. https://doi.org/10.1002/eco.70008
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84. Impacts of extreme summers on European ecosystems: a comparative analysis of 2003, 2010 and 2018 A. Bastos et al. https://doi.org/10.1098/rstb.2019.0507
85. Terrestrial carbon cycle model-data fusion: Progress and challenges X. Li et al. https://doi.org/10.1007/s11430-020-9800-3
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87. Spatiotemporal evolution characteristics, influencing factors of land use carbon emissions, and low-carbon development in Hubei Province, China M. Fan et al. https://doi.org/10.1016/j.ecoinf.2024.102567
88. Mapping the safe operating space of marine ecosystems under contrasting emission pathways T. Bourgeois et al. https://doi.org/10.5194/bg-22-5435-2025
89. High-resolution inversion of methane emissions over Europe using the Community Inversion Framework and FLEXPART A. Mengistu et al. https://doi.org/10.5194/acp-26-12295-2026
90. N2O changes from the Last Glacial Maximum to the preindustrial – Part 2: terrestrial N2O emissions and carbon–nitrogen cycle interactions F. Joos et al. https://doi.org/10.5194/bg-17-3511-2020
91. Is soil contamination a missing driver of soil heterotrophic respiration in land surface models? A study case with copper – L. Sereni et al. https://doi.org/10.1016/j.scitotenv.2024.177574
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96. 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
97. Atmospheric CO2 observations reveal seasonality bias in Arctic–boreal carbon flux estimates J. Wen et al. https://doi.org/10.1088/1748-9326/ae6128
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