78 citations as recorded by crossref.

1. Uncertainty of hourly-average concentration values derived from non-continuous measurements L. Haszpra & E. Prácser 10.5194/amt-14-3561-2021
2. A New Method for Top-Down Inversion Estimation of Carbon Dioxide Flux Based on Deep Learning H. Wang et al. 10.3390/rs16193694
3. Retrieval of atmospheric CO2 vertical profiles from ground-based near-infrared spectra S. Roche et al. 10.5194/amt-14-3087-2021
4. Independent Bias Correction Method for Satellite Observation Data Introduced to CO₂ Flux Inversion T. Maki et al. 10.2151/sola.2023-021
5. Soil moisture–atmosphere feedback dominates land carbon uptake variability V. Humphrey et al. 10.1038/s41586-021-03325-5
6. Global increase in biomass carbon stock dominated by growth of northern young forests over past decade H. Yang et al. 10.1038/s41561-023-01274-4
7. Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South America N. Bautista et al. 10.1071/ES24027
8. The First Global Carbon Dioxide Flux Map Derived from TanSat Measurements D. Yang et al. 10.1007/s00376-021-1179-7
9. Do State‐Of‐The‐Art Atmospheric CO2 Inverse Models Capture Drought Impacts on the European Land Carbon Uptake? W. He et al. 10.1029/2022MS003150
10. Large CO2 Emitters as Seen From Satellite: Comparison to a Gridded Global Emission Inventory F. Chevallier et al. 10.1029/2021GL097540
11. Near-real-time CO2 fluxes from CarbonTracker Europe for high-resolution atmospheric modeling A. van der Woude et al. 10.5194/essd-15-579-2023
12. Four years of global carbon cycle observed from the Orbiting Carbon Observatory 2 (OCO-2) version 9 and in situ data and comparison to OCO-2 version 7 H. Peiro et al. 10.5194/acp-22-1097-2022
13. Towards verifying and improving estimations of China's CO2 and CH4 budgets using atmospheric inversions Y. Wang et al. 10.1093/nsr/nwaf090
14. Local and regional enhancements of CH4, CO, and CO2 inferred from TCCON column measurements K. Mottungan et al. 10.5194/amt-17-5861-2024
15. Carbon Dioxide Distribution, Origins, and Transport Along a Frontal Boundary During Summer in Mid‐Latitudes A. Samaddar et al. 10.1029/2020JD033118
16. Quantification of regional net CO2 flux errors in the Orbiting Carbon Observatory-2 (OCO-2) v10 model intercomparison project (MIP) ensemble using airborne measurements J. Yun et al. 10.5194/acp-25-1725-2025
17. Carbon Flux Variability From a Relatively Simple Ecosystem Model With Assimilated Data Is Consistent With Terrestrial Biosphere Model Estimates G. Quetin et al. 10.1029/2019MS001889
18. A Robust Estimate of Continental‐Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals L. Zhang et al. 10.1029/2023GL102815
19. Improving Model-Based Carbon Dioxide Datasets Using Deep Learning and Satellite Observations F. Mustafa & M. Xu 10.1109/TGRS.2025.3556309
20. Progress and challenges in remotely sensed terrestrial carbon fluxes T. Wang et al. 10.1080/10095020.2024.2336599
21. Effect of assimilating CO2 observations in the Korean Peninsula on the inverse modeling to estimate surface CO2 flux over Asia M. Cho et al. 10.1371/journal.pone.0263925
22. An atmospheric perspective on the carbon budgets of terrestrial ecosystems in China: progress and challenges B. Chen et al. 10.1016/j.scib.2021.05.017
23. CO2 Flux Inversion With a Regional Joint Data Assimilation System Based on CMAQ, EnKS, and Surface Observations Z. Peng et al. 10.1029/2022JD037154
24. On the potential of a neural-network-based approach for estimating XCO2 from OCO-2 measurements F. Bréon et al. 10.5194/amt-15-5219-2022
25. Estimation of China’s terrestrial ecosystem carbon sink: Methods, progress and prospects S. Piao et al. 10.1007/s11430-021-9892-6
26. Deep learning applied to CO2 power plant emissions quantification using simulated satellite images J. Dumont Le Brazidec et al. 10.5194/gmd-17-1995-2024
27. Soil respiration–driven CO 2 pulses dominate Australia’s flux variability E. Metz et al. 10.1126/science.add7833
28. Siberian 2020 heatwave increased spring CO2 uptake but not annual CO2 uptake M. Kwon et al. 10.1088/1748-9326/ac358b
29. Evaluation of downward and upward solar irradiances simulated by the Integrated Forecasting System of ECMWF using airborne observations above Arctic low-level clouds H. Müller et al. 10.5194/acp-24-4157-2024
30. Regional CO2 fluxes from 2010 to 2015 inferred from GOSAT XCO2 retrievals using a new version of the Global Carbon Assimilation System F. Jiang et al. 10.5194/acp-21-1963-2021
31. Evaluating Global Atmospheric Inversions of Terrestrial Net Ecosystem Exchange CO2 Over North America on Seasonal and Sub‐Continental Scales Y. Cui et al. 10.1029/2022GL100147
32. Reconstructing global daily XCO2 at 1° × 1° spatial resolution from 2016 to 2019 with multisource satellite observation data Y. Huang et al. 10.1117/1.JRS.18.028502
33. 基于中国大气反演系统的卫星<bold>CO</bold><sub><bold>2</bold></sub>数据同化对全球碳收支的评估 哲. 金 et al. 10.1360/N072022-0123
34. Constraint of satellite CO2 retrieval on the global carbon cycle from a Chinese atmospheric inversion system Z. Jin et al. 10.1007/s11430-022-1036-7
35. Using OCO-2 Observations to Constrain Regional CO2 Fluxes Estimated with the Vegetation, Photosynthesis and Respiration Model I. Konovalov et al. 10.3390/rs17020177
36. Five years of variability in the global carbon cycle: comparing an estimate from the Orbiting Carbon Observatory-2 and process-based models Z. Chen et al. 10.1088/1748-9326/abfac1
37. Technical note: The CAMS greenhouse gas reanalysis from 2003 to 2020 A. Agustí-Panareda et al. 10.5194/acp-23-3829-2023
38. Low latency carbon budget analysis reveals a large decline of the land carbon sink in 2023 P. Ke et al. 10.1093/nsr/nwae367
39. Estimation of fire-induced carbon emissions from Equatorial Asia in 2015 using in situ aircraft and ship observations Y. Niwa et al. 10.5194/acp-21-9455-2021
40. Global Carbon Budget 2020 P. Friedlingstein et al. 10.5194/essd-12-3269-2020
41. The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
42. Characterization of Regional Combustion Efficiency using ΔXCO: ΔXCO2 Observed by a Portable Fourier-Transform Spectrometer at an Urban Site in Beijing K. Che et al. 10.1007/s00376-022-1247-7
43. The carbon sink in China as seen from GOSAT with a regional inversion system based on the Community Multi-scale Air Quality (CMAQ) and ensemble Kalman smoother (EnKS) X. Kou et al. 10.5194/acp-23-6719-2023
44. The CO2 Human Emissions (CHE) Project: First Steps Towards a European Operational Capacity to Monitor Anthropogenic CO2 Emissions G. Balsamo et al. 10.3389/frsen.2021.707247
45. Observation of greenhouse gas vertical profiles in the boundary layer of the Mount Qomolangma region using a multirotor UAV Y. Zhou et al. 10.5194/amt-18-1609-2025
46. Seasonal and interannual variability in CO2 fluxes in southern Africa seen by GOSAT E. Metz et al. 10.5194/bg-22-555-2025
47. Carbon Monitoring System Flux Net Biosphere Exchange 2020 (CMS-Flux NBE 2020) J. Liu et al. 10.5194/essd-13-299-2021
48. Verifying national inventory-based combustion emissions of CO2 across the UK and mainland Europe using satellite observations of atmospheric CO and CO2 T. Scarpelli et al. 10.5194/acp-24-10773-2024
49. Long-term column-averaged greenhouse gas observations using a COCCON spectrometer at the high-surface-albedo site in Gobabeb, Namibia M. Frey et al. 10.5194/amt-14-5887-2021
50. Approximation of multi-year time series of XCO2 concentrations using satellite observations and statistical interpolation methods W. Wefers et al. 10.1016/j.atmosres.2023.106965
51. Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach M. Jung et al. 10.5194/bg-17-1343-2020
52. Quantification of CO2 hotspot emissions from OCO-3 SAM CO2 satellite images using deep learning methods J. Dumont Le Brazidec et al. 10.5194/gmd-18-3607-2025
53. Unusual characteristics of the carbon cycle during the 2015−2016 El Niño K. Wang et al. 10.1111/gcb.15669
54. Regional and seasonal partitioning of water and temperature controls on global land carbon uptake variability K. Wang et al. 10.1038/s41467-022-31175-w
55. Role of space station instruments for improving tropical carbon flux estimates using atmospheric data P. Palmer et al. 10.1038/s41526-022-00231-6
56. Greenhouse gas column observations from a portable spectrometer in Uganda N. Humpage et al. 10.5194/amt-17-5679-2024
57. CO2 Flux over the Contiguous United States in 2016 Inverted by WRF-Chem/DART from OCO-2 XCO2 Retrievals Q. Zhang et al. 10.3390/rs13152996
58. Evaluation of CarbonTracker's Inverse Estimates of North American Net Ecosystem Exchange of CO2 From Different Observing Systems Using ACT‐America Airborne Observations Y. Cui et al. 10.1029/2020JD034406
59. How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. 10.1029/2021RG000736
60. 中国陆地生态系统碳汇估算<bold>: </bold>方法<bold>、</bold>进展<bold>、</bold>展望 世. 朴 et al. 10.1360/SSTe-2021-0197
61. Invert global and China's terrestrial carbon fluxes over 2019–2021 based on assimilating richer atmospheric CO2 observations J. Li et al. 10.1016/j.scitotenv.2024.172320
62. Evaluating consistency between total column CO2 retrievals from OCO-2 and the in situ network over North America: implications for carbon flux estimation B. Rastogi et al. 10.5194/acp-21-14385-2021
63. A global surface CO2 flux dataset (2015–2022) inferred from OCO-2 retrievals using the GONGGA inversion system Z. Jin et al. 10.5194/essd-16-2857-2024
64. Global and regional carbon budget for 2015–2020 inferred from OCO-2 based on an ensemble Kalman filter coupled with GEOS-Chem Y. Kong et al. 10.5194/acp-22-10769-2022
65. Integration of surface-based and space-based atmospheric CO2 measurements for improving carbon flux estimates using a new developed 3-GAS inversion model S. Liu et al. 10.1016/j.atmosres.2024.107477
66. Terrestrial ecosystem carbon flux estimated using GOSAT and OCO-2 XCO2 retrievals H. Wang et al. 10.5194/acp-19-12067-2019
67. Assimilation of OCO-2 retrievals with WRF-Chem/DART: A case study for the Midwestern United States Q. Zhang et al. 10.1016/j.atmosenv.2020.118106
68. Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals W. He et al. 10.1029/2022JD037773
69. Seasonal CO2 amplitude in northern high latitudes Z. Liu et al. 10.1038/s43017-024-00600-7
70. Towards monitoring the CO2 source–sink distribution over India via inverse modelling: quantifying the fine-scale spatiotemporal variability in the atmospheric CO2 mole fraction V. Thilakan et al. 10.5194/acp-22-15287-2022
71. Mapping the CO2 total column retrieval performance from shortwave infrared measurements: synthetic impacts of the spectral resolution, signal-to-noise ratio, and spectral band selection M. Dogniaux & C. Crevoisier 10.5194/amt-17-5373-2024
72. Variability of North Atlantic CO2 fluxes for the 2000–2017 period estimated from atmospheric inverse analyses Z. Chen et al. 10.5194/bg-18-4549-2021
73. The Orbiting Carbon Observatory-2 (OCO-2) and in situ CO2 data suggest a larger seasonal amplitude of the terrestrial carbon cycle compared to many dynamic global vegetation models R. Lei et al. 10.1016/j.rse.2024.114326
74. Satellite-detected large CO2 release in southwestern North America during the 2020–2021 drought and associated wildfires H. Chen et al. 10.1088/1748-9326/ad3cf7
75. Improved Constraints on Northern Extratropical CO2 Fluxes Obtained by Combining Surface‐Based and Space‐Based Atmospheric CO2 Measurements B. Byrne et al. 10.1029/2019JD032029
76. gdess: A framework for evaluating simulated atmospheric CO2 in Earth System Models D. Kaufman et al. 10.21105/joss.04326
77. Fluxes of Carbon Dioxide From Managed Ecosystems Estimated by National Inventories Compared to Atmospheric Inverse Modeling F. Chevallier 10.1029/2021GL093565
78. Terrestrial ecosystem carbon flux estimated using GOSAT and OCO-2 XCO<sub>2</sub> retrievals H. Wang et al. 10.5194/acp-19-12067-2019