309 citations as recorded by crossref.

1. 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
2. Potential and environmental control of carbon sequestration in major ecosystems across arid and semi-arid regions in China Q. Gu et al. 10.1016/j.scitotenv.2018.07.139
3. Atmospheric Carbon Dioxide variability at Aigüestortes, Central Pyrenees, Spain R. Curcoll et al. 10.1007/s10113-018-1443-2
4. Toward a long-term atmospheric CO2 inversion for elucidating natural carbon fluxes: technical notes of NISMON-CO2 v2021.1 Y. Niwa et al. 10.1186/s40645-022-00502-6
5. Benefits of satellite XCO2 and newly proposed atmospheric CO2 observation network over India in constraining regional CO2 fluxes S. Halder et al. 10.1016/j.scitotenv.2021.151508
6. Evaluating the ocean biogeochemical components of Earth system models using atmospheric potential oxygen and ocean color data C. Nevison et al. 10.5194/bg-12-193-2015
7. Non-contact, low-cost regional greenhouse gases detection via 3D laminated graphene-based photoelectric construct Y. Oh et al. 10.1016/j.carbon.2022.06.044
8. Estimating Asian terrestrial carbon fluxes from CONTRAIL aircraft and surface CO<sub>2</sub> observations for the period 2006–2010 H. Zhang et al. 10.5194/acp-14-5807-2014
9. Observation and integrated Earth-system science: A roadmap for 2016–2025 A. Simmons et al. 10.1016/j.asr.2016.03.008
10. A representative CO2 emissions pathway for China toward carbon neutrality under the Paris Agreement's 2 °C target D. Zhang et al. 10.1016/j.accre.2023.11.004
11. Analysis of the Spatiotemporal Evolution of Carbon Budget and Carbon Compensation Zoning in the Core Area of the Yangtze River Delta Urban Agglomeration Y. Tang et al. 10.3390/land13060747
12. Impact of Siberian observations on the optimization of surface CO<sub>2</sub> flux J. Kim et al. 10.5194/acp-17-2881-2017
13. Advances in the carbon sink potential of terrestrial ecosystems in China G. Zhou et al. 10.1360/TB-2022-0032
14. Results of a long-term international comparison of greenhouse gas and isotope measurements at the Global Atmosphere Watch (GAW) Observatory in Alert, Nunavut, Canada D. Worthy et al. 10.5194/amt-16-5909-2023
15. Precipitation thresholds regulate net carbon exchange at the continental scale Z. Liu et al. 10.1038/s41467-018-05948-1
16. 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
17. Errors and uncertainties in a gridded carbon dioxide emissions inventory T. Oda et al. 10.1007/s11027-019-09877-2
18. Multi‐Season Evaluation of CO2 Weather in OCO‐2 MIP Models L. Zhang et al. 10.1029/2021JD035457
19. A decadal inversion of CO₂ using the Global Eulerian–Lagrangian Coupled Atmospheric model (GELCA): sensitivity to the ground-based observation network T. Shirai et al. 10.1080/16000889.2017.1291158
20. On the potential of the ICOS atmospheric CO<sub>2</sub> measurement network for estimating the biogenic CO<sub>2</sub> budget of Europe N. Kadygrov et al. 10.5194/acp-15-12765-2015
21. The potential of Orbiting Carbon Observatory-2 data to reduce the uncertainties in CO<sub>2</sub> surface fluxes over Australia using a variational assimilation scheme Y. Villalobos et al. 10.5194/acp-20-8473-2020
22. A biogenic CO<sub>2</sub> flux adjustment scheme for the mitigation of large-scale biases in global atmospheric CO<sub>2</sub> analyses and forecasts A. Agustí-Panareda et al. 10.5194/acp-16-10399-2016
23. Global climatic controls on interannual variability of ecosystem productivity: Similarities and differences inferred from solar-induced chlorophyll fluorescence and enhanced vegetation index X. Li & J. Xiao 10.1016/j.agrformet.2020.108018
24. The Accelerating Land Carbon Sink of the 2000s May Not Be Driven Predominantly by the Warming Hiatus Z. Zhu et al. 10.1002/2017GL075808
25. An inversion model based on GEOS-Chem for estimating global and China's terrestrial carbon fluxes in 2019 C. Wu et al. 10.1016/j.accre.2023.01.001
26. Technical note: A high-resolution inverse modelling technique for estimating surface CO<sub>2</sub> fluxes based on the NIES-TM–FLEXPART coupled transport model and its adjoint S. Maksyutov et al. 10.5194/acp-21-1245-2021
27. Global Carbon Budget 2019 P. Friedlingstein et al. 10.5194/essd-11-1783-2019
28. Comparing simulated atmospheric carbon dioxide concentration with GOSAT retrievals H. Zhang et al. 10.1007/s11434-014-0676-9
29. Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years J. Xiao et al. 10.1016/j.rse.2019.111383
30. Evaluating two soil carbon models within the global land surface model JSBACH using surface and spaceborne observations of atmospheric CO<sub>2</sub> T. Thum et al. 10.5194/bg-17-5721-2020
31. Sun-induced fluorescence and near-infrared reflectance of vegetation track the seasonal dynamics of gross primary production over Africa A. Mengistu et al. 10.5194/bg-18-2843-2021
32. Preliminary study of atmospheric carbon dioxide in a glacial area of the Qilian Mountains, west China C. Li et al. 10.1016/j.atmosenv.2014.10.020
33. Ocean-driven interannual variability in atmospheric CO2 quantified using OCO-2 observations and atmospheric transport simulations Y. Guan et al. 10.3389/fmars.2024.1272415
34. Estimates of European uptake of CO<sub>2</sub> inferred from GOSAT X<sub>CO<sub>2</sub></sub> retrievals: sensitivity to measurement bias inside and outside Europe L. Feng et al. 10.5194/acp-16-1289-2016
35. Hydrological and biogeochemical constraints on terrestrial carbon cycle feedbacks S. Mystakidis et al. 10.1088/1748-9326/12/1/014009
36. Characterizing uncertainties in atmospheric inversions of fossil fuel CO<sub>2</sub> emissions in California K. Brophy et al. 10.5194/acp-19-2991-2019
37. Comparison of CO2 Content in the Atmosphere of St. Petersburg According to Numerical Modeling and Observations G. Nerobelov et al. 10.1134/S0001433823020056
38. State of the science in reconciling top‐down and bottom‐up approaches for terrestrial CO2 budget M. Kondo et al. 10.1111/gcb.14917
39. 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
40. Ratios of greenhouse gas emissions observed over the Yellow Sea and the East China Sea Y. Liu et al. 10.1016/j.scitotenv.2018.03.250
41. Adjoint of the global Eulerian–Lagrangian coupled atmospheric transport model (A-GELCA v1.0): development and validation D. Belikov et al. 10.5194/gmd-9-749-2016
42. Distinct magnitude asymmetries of daily extreme anomalies in gross primary productivity between forests and non-forests J. Li et al. 10.1007/s00382-022-06158-8
43. Benchmarking the seasonal cycle of CO2 fluxes simulated by terrestrial ecosystem models S. Peng et al. 10.1002/2014GB004931
44. The Orbiting Carbon Observatory (OCO-2) tracks 2–3 peta-gram increase in carbon release to the atmosphere during the 2014–2016 El Niño P. Patra et al. 10.1038/s41598-017-13459-0
45. The status of carbon neutrality of the world's top 5 CO2 emitters as seen by carbon satellites F. Jiang et al. 10.1016/j.fmre.2022.02.001
46. 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
47. Revision of global carbon fluxes based on a reassessment of oceanic and riverine carbon transport L. Resplandy et al. 10.1038/s41561-018-0151-3
48. Contrasting effects of CO<sub>2</sub> fertilization, land-use change and warming on seasonal amplitude of Northern Hemisphere CO<sub>2</sub> exchange A. Bastos et al. 10.5194/acp-19-12361-2019
49. Decadal variability in land carbon sink efficiency L. Zhu et al. 10.1186/s13021-021-00178-3
50. Comparing the CarbonTracker and TM5-4DVar data assimilation systems for CO<sub>2</sub> surface flux inversions A. Babenhauserheide et al. 10.5194/acp-15-9747-2015
51. On the ability of a global atmospheric inversion to constrain variations of CO<sub>2</sub> fluxes over Amazonia L. Molina et al. 10.5194/acp-15-8423-2015
52. Assessing Lagrangian inverse modelling of urban anthropogenic CO2 fluxes using in situ aircraft and ground-based measurements in the Tokyo area I. Pisso et al. 10.1186/s13021-019-0118-8
53. Estimating US fossil fuel CO 2 emissions from measurements of 14 C in atmospheric CO 2 S. Basu et al. 10.1073/pnas.1919032117
54. Re-evaluating the 1940s CO<sub>2</sub> plateau A. Bastos et al. 10.5194/bg-13-4877-2016
55. Plant Regrowth as a Driver of Recent Enhancement of Terrestrial CO2 Uptake M. Kondo et al. 10.1029/2018GL077633
56. Influence of CO<sub>2</sub> observations on the optimized CO<sub>2</sub> flux in an ensemble Kalman filter J. Kim et al. 10.5194/acp-14-13515-2014
57. A 4D-Var inversion system based on the icosahedral grid model (NICAM-TM 4D-Var v1.0) – Part 1: Offline forward and adjoint transport models Y. Niwa et al. 10.5194/gmd-10-1157-2017
58. Siberian 2020 heatwave increased spring CO2 uptake but not annual CO2 uptake M. Kwon et al. 10.1088/1748-9326/ac358b
59. In situ measurement of atmospheric CO<sub>2</sub> at the four WMO/GAW stations in China S. Fang et al. 10.5194/acp-14-2541-2014
60. Uncertainty in parameterized convection remains a key obstacle for estimating surface fluxes of carbon dioxide A. Schuh & A. Jacobson 10.5194/acp-23-6285-2023
61. Prior biosphere model impact on global terrestrial CO<sub>2</sub> fluxes estimated from OCO-2 retrievals S. Philip et al. 10.5194/acp-19-13267-2019
62. Analysis of CO<sub>2</sub> spatio-temporal variations in China using a weather–biosphere online coupled model X. Dong et al. 10.5194/acp-21-7217-2021
63. Regional CO<sub>2</sub> inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0 G. Monteil & M. Scholze 10.5194/gmd-14-3383-2021
64. Examining CO2 Model Observation Residuals Using ACT‐America Data T. Gerken et al. 10.1029/2020JD034481
65. Amplification of the Ocean Carbon Sink During El Niños: Role of Poleward Ekman Transport and Influence on Atmospheric CO2 E. Liao et al. 10.1029/2020GB006574
66. Detection of fossil fuel emission trends in the presence of natural carbon cycle variability Y. Yin et al. 10.1088/1748-9326/ab2dd7
67. Observations of Greenhouse Gas Changes Across Summer Frontal Boundaries in the Eastern United States S. Pal et al. 10.1029/2019JD030526
68. Bias-correcting carbon fluxes derived from land-surface satellite data for retrospective and near-real-time assimilation systems B. Weir et al. 10.5194/acp-21-9609-2021
69. Thermal infrared laser heterodyne spectroradiometry for solar occultation atmospheric CO<sub>2</sub> measurements A. Hoffmann et al. 10.5194/amt-9-5975-2016
70. Current understanding of the global cycling of carbon dioxide, methane, and nitrous oxide T. NAKAZAWA 10.2183/pjab.96.030
71. Estimated regional CO2flux and uncertainty based on an ensemble of atmospheric CO2inversions N. Chandra et al. 10.5194/acp-22-9215-2022
72. Satellite-inferred European carbon sink larger than expected M. Reuter et al. 10.5194/acp-14-13739-2014
73. On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems? B. Byrne et al. 10.5194/acp-19-13017-2019
74. Comparison of СO₂ Content in the Atmosphere of St. Petersburg According to Numerical Modelling and Observations G. Nerobelov et al. 10.31857/S0002351523020050
75. Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. 10.5194/gmd-11-1725-2018
76. How does the terrestrial carbon exchange respond to inter-annual climatic variations? A quantification based on atmospheric CO<sub>2</sub> data C. Rödenbeck et al. 10.5194/bg-15-2481-2018
77. Potential improvements in global carbon flux estimates from a network of laser heterodyne radiometer measurements of column carbon dioxide P. Palmer et al. 10.5194/amt-12-2579-2019
78. Contrasting terrestrial carbon cycle responses to the 1997/98 and 2015/16 extreme El Niño events J. Wang et al. 10.5194/esd-9-1-2018
79. On the impact of recent developments of the LMDz atmospheric general circulation model on the simulation of CO<sub>2</sub> transport M. Remaud et al. 10.5194/gmd-11-4489-2018
80. 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. 10.5194/gmd-11-631-2018
81. Impact of physical parameterizations and initial conditions on simulated atmospheric transport and CO<sub>2</sub> mole fractions in the US Midwest L. Díaz-Isaac et al. 10.5194/acp-18-14813-2018
82. A 4D-Var inversion system based on the icosahedral grid model (NICAM-TM 4D-Var v1.0) – Part 2: Optimization scheme and identical twin experiment of atmospheric CO<sub>2</sub> inversion Y. Niwa et al. 10.5194/gmd-10-2201-2017
83. Continued increase in atmospheric CO<sub>2</sub> seasonal amplitude in the 21st century projected by the CMIP5 Earth system models F. Zhao & N. Zeng 10.5194/esd-5-423-2014
84. Detection of Spatiotemporal Extreme Changes in Atmospheric CO2 Concentration Based on Satellite Observations Z. He et al. 10.3390/rs10060839
85. CO2 Flux Inversion With a Regional Joint Data Assimilation System Based on CMAQ, EnKS, and Surface Observations Z. Peng et al. 10.1029/2022JD037154
86. Global carbon assimilation system using a local ensemble Kalman filter with multiple ecosystem models S. Zhang et al. 10.1002/2014JG002792
87. Calibration of a multi-physics ensemble for estimating the uncertainty of a greenhouse gas atmospheric transport model L. Díaz-Isaac et al. 10.5194/acp-19-5695-2019
88. Neural-network-based estimation of regional-scale anthropogenic CO<sub>2</sub> emissions using an Orbiting Carbon Observatory-2 (OCO-2) dataset over East and West Asia F. Mustafa et al. 10.5194/amt-14-7277-2021
89. Tropical extreme droughts drive long-term increase in atmospheric CO2 growth rate variability X. Luo & T. Keenan 10.1038/s41467-022-28824-5
90. 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
91. Anthropogenic CO2 emissions from a megacity in the Yangtze River Delta of China C. Hu et al. 10.1007/s11356-018-2325-3
92. Variations of carbon allocation and turnover time across tropical forests H. Yang et al. 10.1111/geb.13302
93. CMAQ simulation of atmospheric CO2 concentration in East Asia: Comparison with GOSAT observations and ground measurements R. Li et al. 10.1016/j.atmosenv.2017.03.056
94. 温室气体通量测量方法及进展 岳. Yue Bin et al. 10.3788/AOS222172
95. A regional carbon data assimilation system and its preliminary evaluation in East Asia Z. Peng et al. 10.5194/acp-15-1087-2015
96. The Terrestrial Carbon Sink T. Keenan & C. Williams 10.1146/annurev-environ-102017-030204
97. Seven years of observational atmospheric CO2 at a maritime site in northernmost Japan and its implications C. Zhu & H. Yoshikawa-Inoue 10.1016/j.scitotenv.2015.04.044
98. Anomalous Net Biome Exchange Over Amazonian Rainforests Induced by the 2015/16 El Niño: Soil Dryness‐Shaped Spatial Pattern but Temperature‐dominated Total Flux J. Wang et al. 10.1029/2023GL103379
99. On the statistical optimality of CO<sub>2</sub> atmospheric inversions assimilating CO<sub>2</sub> column retrievals F. Chevallier 10.5194/acp-15-11133-2015
100. The CarbonTracker Data Assimilation Shell (CTDAS) v1.0: implementation and global carbon balance 2001–2015 I. van der Laan-Luijkx et al. 10.5194/gmd-10-2785-2017
101. Characteristics of interannual variability in space-based XCO2 global observations Y. Guan et al. 10.5194/acp-23-5355-2023
102. 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
103. Comparison of the data‐driven top‐down and bottom‐up global terrestrial CO2 exchanges: GOSAT CO2 inversion and empirical eddy flux upscaling M. Kondo et al. 10.1002/2014JG002866
104. Diagnosing spatial error structures in CO<sub>2</sub> mole fractions and XCO<sub>2</sub> column mole fractions from atmospheric transport T. Lauvaux et al. 10.5194/acp-19-12007-2019
105. The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg J. Kim et al. 10.5194/gmd-13-269-2020
106. Reviews and syntheses: An empirical spatiotemporal description of the global surface–atmosphere carbon fluxes: opportunities and data limitations J. Zscheischler et al. 10.5194/bg-14-3685-2017
107. Greenhouse gas network design using backward Lagrangian particle dispersion modelling − Part 1: Methodology and Australian test case T. Ziehn et al. 10.5194/acp-14-9363-2014
108. Spatio-temporal variability of XCO2 over Indian region inferred from Orbiting Carbon Observatory (OCO-2) satellite and Chemistry Transport Model R. Kunchala et al. 10.1016/j.atmosres.2022.106044
109. Prominence of the tropics in the recent rise of global nitrogen pollution M. Lee et al. 10.1038/s41467-019-09468-4
110. Accurate mobile remote sensing of XCO<sub>2</sub> and XCH<sub>4</sub> latitudinal transects from aboard a research vessel F. Klappenbach et al. 10.5194/amt-8-5023-2015
111. Interannual sea–air CO<sub>2</sub> flux variability from an observation-driven ocean mixed-layer scheme C. Rödenbeck et al. 10.5194/bg-11-4599-2014
112. 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
113. Earth system models underestimate carbon fixation by plants in the high latitudes A. Winkler et al. 10.1038/s41467-019-08633-z
114. Potential of 14C-based vs. ΔCO-based ΔffCO2 observations to estimate urban fossil fuel CO2 (ffCO2) emissions F. Maier et al. 10.5194/acp-24-8183-2024
115. Role of CO<sub>2</sub>, climate and land use in regulating the seasonal amplitude increase of carbon fluxes in terrestrial ecosystems: a multimodel analysis F. Zhao et al. 10.5194/bg-13-5121-2016
116. Contrasting interannual atmospheric CO<sub>2</sub> variabilities and their terrestrial mechanisms for two types of El Niños J. Wang et al. 10.5194/acp-18-10333-2018
117. Sensitivity of terrestrial carbon cycle to changes in precipitation regimes Z. Wang et al. 10.1016/j.ecolind.2020.106223
118. Interactive effects of the El Niño-Southern Oscillation and Indian Ocean Dipole on the tropical net ecosystem productivity R. Yan et al. 10.1016/j.agrformet.2023.109472
119. 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
120. Temporal Error Correlations in a Terrestrial Carbon Cycle Model Derived by Comparison to Carbon Dioxide Eddy Covariance Flux Tower Measurements D. Wesloh et al. 10.1029/2023JG007526
121. Potential of European <sup>14</sup>CO<sub>2</sub> observation network to estimate the fossil fuel CO<sub>2</sub> emissions via atmospheric inversions Y. Wang et al. 10.5194/acp-18-4229-2018
122. OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO2 Fluxes Over South Asia S. Philip et al. 10.1029/2021JD035035
123. Effect of Data Assimilation Parameters on The Optimized Surface CO2 Flux in Asia H. Kim et al. 10.1007/s13143-017-0049-9
124. Evidence and attribution of the enhanced land carbon sink S. Ruehr et al. 10.1038/s43017-023-00456-3
125. 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
126. Enhanced regional terrestrial carbon uptake over Korea revealed by atmospheric CO2 measurements from 1999 to 2017 J. Yun et al. 10.1111/gcb.15061
127. Objective evaluation of surface- and satellite-driven carbon dioxide atmospheric inversions F. Chevallier et al. 10.5194/acp-19-14233-2019
128. The regional European atmospheric transport inversion comparison, EUROCOM: first results on European-wide terrestrial carbon fluxes for the period 2006–2015 G. Monteil et al. 10.5194/acp-20-12063-2020
129. Implications of overestimated anthropogenic CO2 emissions on East Asian and global land CO2 flux inversion T. Saeki & P. Patra 10.1186/s40562-017-0074-7
130. Historical greenhouse gas concentrations for climate modelling (CMIP6) M. Meinshausen et al. 10.5194/gmd-10-2057-2017
131. Critical method needs in measuring greenhouse gas fluxes D. Bastviken et al. 10.1088/1748-9326/ac8fa9
132. Spatiotemporal Consistency of Four Gross Primary Production Products and Solar‐Induced Chlorophyll Fluorescence in Response to Climate Extremes Across CONUS in 2012 X. Wu et al. 10.1029/2018JG004484
133. Estimating the Net Ecosystem Exchange at Global FLUXNET Sites Using a Random Forest Model N. Huang et al. 10.1109/JSTARS.2021.3114190
134. Impacts of Biomass Burning in Southeast Asia on Tropospheric CO2 Concentration Over South China J. Li et al. 10.1029/2023JD038680
135. Global carbon budget 2014 C. Le Quéré et al. 10.5194/essd-7-47-2015
136. Estimation of China’s terrestrial ecosystem carbon sink: Methods, progress and prospects S. Piao et al. 10.1007/s11430-021-9892-6
137. A Method for Estimating the Background Column Concentration of CO2 Using the Lagrangian Approach Z. Pei et al. 10.1109/TGRS.2022.3176134
138. Forest Contribution to Climate Change Mitigation: Management Oriented to Carbon Capture and Storage L. Nunes et al. 10.3390/cli8020021
139. CO2 fertilization contributed more than half of the observed forest biomass increase in northern extra‐tropical land Y. He et al. 10.1111/gcb.16806
140. Consistent regional fluxes of CH<sub>4</sub> and CO<sub>2</sub> inferred from GOSAT proxy XCH<sub>4</sub> : XCO<sub>2</sub> retrievals, 2010–2014 L. Feng et al. 10.5194/acp-17-4781-2017
141. Enhanced North American carbon uptake associated with El Niño L. Hu et al. 10.1126/sciadv.aaw0076
142. 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
143. Integrating continuous atmospheric boundary layer and tower-based flux measurements to advance understanding of land-atmosphere interactions M. Helbig et al. 10.1016/j.agrformet.2021.108509
144. Large Chinese land carbon sink estimated from atmospheric carbon dioxide data J. Wang et al. 10.1038/s41586-020-2849-9
145. Spatiotemporal patterns of net regional productivity and its causes throughout Ordos, China Y. Zheng et al. 10.1007/s11356-024-32368-0
146. Combining GOSAT XCO2 observations over land and ocean to improve regional CO2 flux estimates F. Deng et al. 10.1002/2015JD024157
147. Global evaluation of the Ecosystem Demography model (ED v3.0) L. Ma et al. 10.5194/gmd-15-1971-2022
148. Characterization of Regional‐Scale CO2 Transport Uncertainties in an Ensemble with Flow‐Dependent Transport Errors H. Chen et al. 10.1029/2018GL081341
149. The Open-source Data Inventory for Anthropogenic CO<sub>2</sub>, version 2016 (ODIAC2016): a global monthly fossil fuel CO<sub>2</sub> gridded emissions data product for tracer transport simulations and surface flux inversions T. Oda et al. 10.5194/essd-10-87-2018
150. Global and Brazilian Carbon Response to El Niño Modoki 2011–2010 K. Bowman et al. 10.1002/2016EA000204
151. 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
152. Three decades of simulated global terrestrial carbon fluxes from a data assimilation system confronted with different periods of observations K. Castro-Morales et al. 10.5194/bg-16-3009-2019
153. Complex Validation of Weather Research and Forecasting—Chemistry Modelling of Atmospheric CO2 in the Coastal Cities of the Gulf of Finland G. Nerobelov et al. 10.3390/rs15245757
154. Global Carbon Budget 2018 C. Le Quéré et al. 10.5194/essd-10-2141-2018
155. Local and regional enhancements of CH4, CO, and CO2 inferred from TCCON column measurements K. Mottungan et al. 10.5194/amt-17-5861-2024
156. Definitions and methods to estimate regional land carbon fluxes for the second phase of the REgional Carbon Cycle Assessment and Processes Project (RECCAP-2) P. Ciais et al. 10.5194/gmd-15-1289-2022
157. A 10-year global monthly averaged terrestrial net ecosystem exchange dataset inferred from the ACOS GOSAT v9 XCO2 retrievals (GCAS2021) F. Jiang et al. 10.5194/essd-14-3013-2022
158. Evaluation of forest CO₂ fluxes from sonde measurements in three different climatological areas including Borneo, Malaysia, and Iriomote and Hokkaido, Japan S. Nomura et al. 10.1080/16000889.2018.1426316
159. Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies With the ORCHIDEE Terrestrial Biosphere Model N. MacBean et al. 10.1029/2021GB007177
160. Long-lived atmospheric trace gases measurements in flask samples from three stations in India X. Lin et al. 10.5194/acp-15-9819-2015
161. Comparison of Regional Simulation of Biospheric CO2 Flux from the Updated Version of CarbonTracker Asia with FLUXCOM and Other Inversions over Asia S. Kenea et al. 10.3390/rs12010145
162. The First Global Carbon Dioxide Flux Map Derived from TanSat Measurements D. Yang et al. 10.1007/s00376-021-1179-7
163. Integrating the evidence for a terrestrial carbon sink caused by increasing atmospheric CO2 A. Walker et al. 10.1111/nph.16866
164. Drought will constrain ongoing increase in net ecosystem productivity under future climate warming over alpine grasslands on the Qinghai-Tibetan Plateau, China C. Zuo et al. 10.1016/j.ecolind.2023.110823
165. Regional atmospheric CO2 inversion reveals seasonal and geographic differences in Amazon net biome exchange C. Alden et al. 10.1111/gcb.13305
166. Field Evaluation of Column CO2 Retrievals From Intensity‐Modulated Continuous‐Wave Differential Absorption Lidar Measurements During the ACT‐America Campaign J. Campbell et al. 10.1029/2019EA000847
167. A neural network-based estimate of the seasonal to inter-annual variability of the Atlantic Ocean carbon sink P. Landschützer et al. 10.5194/bg-10-7793-2013
168. Data-based estimates of interannual sea–air CO<sub>2</sub> flux variations 1957–2020 and their relation to environmental drivers C. Rödenbeck et al. 10.5194/bg-19-2627-2022
169. A Robust Estimate of Continental‐Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals L. Zhang et al. 10.1029/2023GL102815
170. Multispecies Assessment of Factors Influencing Regional CO2 and CH4 Enhancements During the Winter 2017 ACT‐America Campaign B. Baier et al. 10.1029/2019JD031339
171. What are the greenhouse gas observing system requirements for reducing fundamental biogeochemical process uncertainty? Amazon wetland CH<sub>4</sub> emissions as a case study A. Bloom et al. 10.5194/acp-16-15199-2016
172. 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
173. A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches F. Jiang et al. 10.1038/srep22130
174. Feasibility study of a space-based high pulse energy 2  μm CO_2 IPDA lidar U. Singh et al. 10.1364/AO.56.006531
175. Changes in net ecosystem exchange over Europe during the 2018 drought based on atmospheric observations R. Thompson et al. 10.1098/rstb.2019.0512
176. Anthropogenic CO2 emissions assessment of Nile Delta using XCO2 and SIF data from OCO-2 satellite A. Shekhar et al. 10.1088/1748-9326/ab9cfe
177. The carbon budget of South Asia P. Patra et al. 10.5194/bg-10-513-2013
178. Sources of Uncertainty in Regional and Global Terrestrial CO2 Exchange Estimates A. Bastos et al. 10.1029/2019GB006393
179. Carbon cycle responses to climate change across China's terrestrial ecosystem: Sensitivity and driving process K. Jiao et al. 10.1016/j.scitotenv.2024.170053
180. Effect of increasing CO 2 on the terrestrial carbon cycle D. Schimel et al. 10.1073/pnas.1407302112
181. Impacts of data assimilation on the global ocean carbonate system L. Visinelli et al. 10.1016/j.jmarsys.2016.02.011
182. Designing optimal greenhouse gas monitoring networks for Australia T. Ziehn et al. 10.5194/gi-5-1-2016
183. Lower land-use emissions responsible for increased net land carbon sink during the slow warming period S. Piao et al. 10.1038/s41561-018-0204-7
184. CO<sub>2</sub> surface variability: from the stratosphere or not? M. Prather 10.5194/esd-13-703-2022
185. Characterizing biospheric carbon balance using CO<sub>2</sub> observations from the OCO-2 satellite S. Miller et al. 10.5194/acp-18-6785-2018
186. Forests dominate the interannual variability of the North American carbon sink Y. Shiga et al. 10.1088/1748-9326/aad505
187. Learning earth system models from observations: machine learning or data assimilation? A. Geer 10.1098/rsta.2020.0089
188. Source‐receptor relationships of column‐average CO2 and implications for the impact of observations on flux inversions J. Liu et al. 10.1002/2014JD022914
189. CTDAS-Lagrange v1.0: a high-resolution data assimilation system for regional carbon dioxide observations W. He et al. 10.5194/gmd-11-3515-2018
190. Impact of the horizontal resolution of GEOS-Chem on land‒ocean and tropic‒extratropic partitioning and seasonal cycle in CO2 inversion Z. Liu et al. 10.1088/1748-9326/ad7870
191. 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
192. Recent divergence in the contributions of tropical and boreal forests to the terrestrial carbon sink T. Tagesson et al. 10.1038/s41559-019-1090-0
193. Respiratory loss during late-growing season determines the net carbon dioxide sink in northern permafrost regions Z. Liu et al. 10.1038/s41467-022-33293-x
194. Impact of Prior Terrestrial Carbon Fluxes on Simulations of Atmospheric CO2 Concentrations Y. Fu et al. 10.1029/2021JD034794
195. European land CO2 sink influenced by NAO and East-Atlantic Pattern coupling A. Bastos et al. 10.1038/ncomms10315
196. Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals W. He et al. 10.1029/2022JD037773
197. Validation of WRF-Chem Model and CAMS Performance in Estimating Near-Surface Atmospheric CO2 Mixing Ratio in the Area of Saint Petersburg (Russia) G. Nerobelov et al. 10.3390/atmos12030387
198. Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product P. Bodesheim et al. 10.5194/essd-10-1327-2018
199. Objectified quantification of uncertainties in Bayesian atmospheric inversions A. Berchet et al. 10.5194/gmd-8-1525-2015
200. The potential of satellite spectro-imagery for monitoring CO<sub>2</sub> emissions from large cities G. Broquet et al. 10.5194/amt-11-681-2018
201. Design and evaluation of CO<sub>2</sub> observation network to optimize surface CO<sub>2</sub> fluxes in Asia using observation system simulation experiments J. Park & H. Kim 10.5194/acp-20-5175-2020
202. A view of the European carbon flux landscape through the lens of the ICOS atmospheric observation network I. Storm et al. 10.5194/acp-23-4993-2023
203. Spatiotemporal Investigation of Near-Surface CO2 and Its Affecting Factors Over Asia F. Mustafa et al. 10.1109/TGRS.2022.3178125
204. Global atmospheric CO<sub>2</sub> inverse models converging on neutral tropical land exchange, but disagreeing on fossil fuel and atmospheric growth rate B. Gaubert et al. 10.5194/bg-16-117-2019
205. Terrestrial CO2 Fluxes, Concentrations, Sources and Budget in Northeast China: Observational and Modeling Studies X. Li et al. 10.1029/2019JD031686
206. On the role of atmospheric model transport uncertainty in estimating the Chinese land carbon sink A. Schuh et al. 10.1038/s41586-021-04258-9
207. Variability of North Atlantic CO<sub>2</sub> fluxes for the 2000–2017 period estimated from atmospheric inverse analyses Z. Chen et al. 10.5194/bg-18-4549-2021
208. Data-based estimates of the ocean carbon sink variability – first results of the Surface Ocean <i>p</i>CO<sub>2</sub> Mapping intercomparison (SOCOM) C. Rödenbeck et al. 10.5194/bg-12-7251-2015
209. An attempt at estimating Paris area CO<sub>2</sub> emissions from atmospheric concentration measurements F. Bréon et al. 10.5194/acp-15-1707-2015
210. Regional CO<sub>2</sub> fluxes from 2010 to 2015 inferred from GOSAT XCO<sub>2</sub> retrievals using a new version of the Global Carbon Assimilation System F. Jiang et al. 10.5194/acp-21-1963-2021
211. Air–sea CO<sub>2</sub> flux in the Pacific Ocean for the period 1990–2009 M. Ishii et al. 10.5194/bg-11-709-2014
212. A comparison of posterior atmospheric CO<sub>2</sub> adjustments obtained from in situ and GOSAT constrained flux inversions S. Polavarapu et al. 10.5194/acp-18-12011-2018
213. Warmer Arctic weakens vegetation A. Bastos 10.1038/ngeo2989
214. Dominant regions and drivers of the variability of the global land carbon sink across timescales X. Zhang et al. 10.1111/gcb.14275
215. Sensitivity of simulated CO<sub>2</sub> concentration to sub-annual variations in fossil fuel CO<sub>2</sub> emissions X. Zhang et al. 10.5194/acp-16-1907-2016
216. Satellite- and ground-based measurements of CO2 over the Indian region: its seasonal dependencies, spatial variability, and model estimates K. Nalini et al. 10.1080/01431161.2018.1479787
217. Constraining biospheric carbon dioxide fluxes by combined top-down and bottom-up approaches S. Upton et al. 10.5194/acp-24-2555-2024
218. Temporal variations of atmospheric CO<sub>2</sub> and CO at Ahmedabad in western India N. Chandra et al. 10.5194/acp-16-6153-2016
219. Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
220. Atmospheric CO<sub>2</sub> inversions on the mesoscale using data-driven prior uncertainties: quantification of the European terrestrial CO<sub>2</sub> fluxes P. Kountouris et al. 10.5194/acp-18-3047-2018
221. The suitability of atmospheric oxygen measurements to constrain western European fossil-fuel CO2 emissions and their trends C. Rödenbeck et al. 10.5194/acp-23-15767-2023
222. High-resolution modeling of gaseous air pollutants over Tehran and validation with surface and satellite data N. Shahrokhishahraki et al. 10.1016/j.atmosenv.2021.118881
223. Regional CO2 Inversion Through Ensemble‐Based Simultaneous State and Parameter Estimation: TRACE Framework and Controlled Experiments H. Chen et al. 10.1029/2022MS003208
224. 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
225. The 2009–2010 step in atmospheric CO<sub>2</sub> interhemispheric difference R. Francey & J. Frederiksen 10.5194/bg-13-873-2016
226. Increased high‐latitude photosynthetic carbon gain offset by respiration carbon loss during an anomalous warm winter to spring transition Z. Liu et al. 10.1111/gcb.14863
227. Interannual variation of terrestrial carbon cycle: Issues and perspectives S. Piao et al. 10.1111/gcb.14884
228. Accounting for CO2 variability over East Asia with a regional joint inversion system and its preliminary evaluation X. Kou et al. 10.1007/s13351-017-6149-8
229. LSCE-FFNN-v1: a two-step neural network model for the reconstruction of surface ocean <i>p</i>CO<sub>2</sub> over the global ocean A. Denvil-Sommer et al. 10.5194/gmd-12-2091-2019
230. Remotely monitoring ecosystem respiration from various grasslands along a large-scale east–west transect across northern China X. Tang et al. 10.1186/s13021-020-00141-8
231. The evolving centres of gravity in China's oil and gas industry: Evidence from infrared radiation imaging gas flaring data J. Peng et al. 10.1016/j.esd.2023.02.002
232. Top-down estimates of European CH<sub>4</sub> and N<sub>2</sub>O emissions based on four different inverse models P. Bergamaschi et al. 10.5194/acp-15-715-2015
233. Where Has All the Carbon Gone? A. Denning 10.1146/annurev-earth-032320-092010
234. An intercomparison of inverse models for estimating sources and sinks of CO2 using GOSAT measurements S. Houweling et al. 10.1002/2014JD022962
235. 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
236. 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
237. Recent changes in the global and regional carbon cycle: analysis of first-order diagnostics P. Rayner et al. 10.5194/bg-12-835-2015
238. A CO-based method to determine the regional biospheric signal in atmospheric CO₂ B. Oney et al. 10.1080/16000889.2017.1353388
239. Net carbon emissions from African biosphere dominate pan-tropical atmospheric CO2 signal P. Palmer et al. 10.1038/s41467-019-11097-w
240. Representing model uncertainty for global atmospheric CO<sub>2</sub> flux inversions using ECMWF-IFS-46R1 J. McNorton et al. 10.5194/gmd-13-2297-2020
241. Reconciling carbon‐cycle processes from ecosystem to global scales A. Ballantyne et al. 10.1002/fee.2296
242. North America's net terrestrial CO<sub>2</sub> exchange with the atmosphere 1990–2009 A. King et al. 10.5194/bg-12-399-2015
243. Atmospheric inversion of surface carbon flux with consideration of the spatial distribution of US crop production and consumption J. Chen et al. 10.5194/bg-12-323-2015
244. Recent reversal in loss of global terrestrial biomass Y. Liu et al. 10.1038/nclimate2581
245. 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
246. How Much CO2 Is Taken Up by the European Terrestrial Biosphere? M. Reuter et al. 10.1175/BAMS-D-15-00310.1
247. Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set M. Buchwitz et al. 10.1016/j.rse.2016.12.027
248. The tropical forest carbon cycle and climate change E. Mitchard 10.1038/s41586-018-0300-2
249. Decoupling of land-use net carbon flux, economic growth, and population change in China X. Huang et al. 10.1007/s11356-023-25335-8
250. Variation of carbon dioxide mole fraction at a typical urban area in the Yangtze River Delta, China S. Fang et al. 10.1016/j.atmosres.2021.105884
251. Large‐Scale Droughts Responsible for Dramatic Reductions of Terrestrial Net Carbon Uptake Over North America in 2011 and 2012 W. He et al. 10.1029/2018JG004520
252. Interannual variability in the Australian carbon cycle over 2015–2019, based on assimilation of Orbiting Carbon Observatory-2 (OCO-2) satellite data Y. Villalobos et al. 10.5194/acp-22-8897-2022
253. Assumptions about prior fossil fuel inventories impact our ability to estimate posterior net CO2 fluxes that are needed for verifying national inventories T. Oda et al. 10.1088/1748-9326/ad059b
254. XCO<sub>2</sub> estimates from the OCO-2 measurements using a neural network approach L. David et al. 10.5194/amt-14-117-2021
255. Seasonal Characteristics of Model Uncertainties From Biogenic Fluxes, Transport, and Large‐Scale Boundary Inflow in Atmospheric CO2 Simulations Over North America S. Feng et al. 10.1029/2019JD031165
256. Mean European Carbon Sink Over 2010–2015 Estimated by Simultaneous Assimilation of Atmospheric CO2, Soil Moisture, and Vegetation Optical Depth M. Scholze et al. 10.1029/2019GL085725
257. The terrestrial biosphere as a net source of greenhouse gases to the atmosphere H. Tian et al. 10.1038/nature16946
258. What can we learn about effectiveness of carbon reduction policies from interannual variability of fossil fuel CO2 emissions in East Asia? L. Labzovskii et al. 10.1016/j.envsci.2019.03.011
259. Technical Note: Atmospheric CO<sub>2</sub> inversions on the mesoscale using data-driven prior uncertainties: methodology and system evaluation P. Kountouris et al. 10.5194/acp-18-3027-2018
260. Methods for Global Survey of Natural Gas Flaring from Visible Infrared Imaging Radiometer Suite Data C. Elvidge et al. 10.3390/en9010014
261. Carbon Monitoring System Flux Net Biosphere Exchange 2020 (CMS-Flux NBE 2020) J. Liu et al. 10.5194/essd-13-299-2021
262. Quantifying the Impact of Atmospheric Transport Uncertainty on CO2 Surface Flux Estimates A. Schuh et al. 10.1029/2018GB006086
263. The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
264. Regional Methane Emission Estimation Based on Observed Atmospheric Concentrations (2002-2012) P. PATRA et al. 10.2151/jmsj.2016-006
265. Biogeophysical feedbacks enhance the Arctic terrestrial carbon sink in regional Earth system dynamics W. Zhang et al. 10.5194/bg-11-5503-2014
266. Computation and analysis of atmospheric carbon dioxide annual mean growth rates from satellite observations during 2003–2016 M. Buchwitz et al. 10.5194/acp-18-17355-2018
267. How well do tall-tower measurements characterize the CO<sub>2</sub> mole fraction distribution in the planetary boundary layer? L. Haszpra et al. 10.5194/amt-8-1657-2015
268. Strong Southern Ocean carbon uptake evident in airborne observations M. Long et al. 10.1126/science.abi4355
269. Inter-annual variability of summertime CO 2 exchange in Northern Eurasia inferred from GOSAT XCO 2 M. Ishizawa et al. 10.1088/1748-9326/11/10/105001
270. Global satellite-driven estimates of heterotrophic respiration A. Konings et al. 10.5194/bg-16-2269-2019
271. Multiscale assessment of North American terrestrial carbon balance K. Foster et al. 10.5194/bg-21-869-2024
272. Top‐Down Constraints on Anthropogenic CO2 Emissions Within an Agricultural‐Urban Landscape C. Hu et al. 10.1029/2017JD027881
273. Spatial variations in terrestrial net ecosystem productivity and its local indicators E. Cui et al. 10.5194/bg-17-6237-2020
274. Surface‐Atmosphere Coupling Scale, the Fate of Water, and Ecophysiological Function in a Brazilian Forest I. Baker et al. 10.1029/2019MS001650
275. Interview with Britton Stephens B. Stephens 10.1080/17583004.2014.912824
276. The impacts of fossil fuel emission uncertainties and accounting for 3-D chemical CO2 production on inverse natural carbon flux estimates from satellite and in situ data J. Wang et al. 10.1088/1748-9326/ab9795
277. Terrestrial and marine perspectives on modeling organic matter degradation pathways A. Burd et al. 10.1111/gcb.12987
278. Estimation of continuous anthropogenic CO<sub>2</sub>: model-based evaluation of CO<sub>2</sub>, CO, δ<sup>13</sup>C(CO<sub>2</sub>) and Δ<sup>14</sup>C(CO<sub>2</sub>) tracer methods S. Vardag et al. 10.5194/acp-15-12705-2015
279. The 2015–2016 carbon cycle as seen from OCO-2 and the global in situ network S. Crowell et al. 10.5194/acp-19-9797-2019
280. Top–down assessment of the Asian carbon budget since the mid 1990s R. Thompson et al. 10.1038/ncomms10724
281. Atmospheric Simulations of Total Column CO2 Mole Fractions from Global to Mesoscale within the Carbon Monitoring System Flux Inversion Framework M. Butler et al. 10.3390/atmos11080787
282. How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. 10.1029/2021RG000736
283. Carbon dynamics of the Weddell Gyre, Southern Ocean P. Brown et al. 10.1002/2014GB005006
284. Modelling carbon sources and sinks in terrestrial vegetation S. Fatichi et al. 10.1111/nph.15451
285. Consistent evaluation of ACOS-GOSAT, BESD-SCIAMACHY, CarbonTracker, and MACC through comparisons to TCCON S. Kulawik et al. 10.5194/amt-9-683-2016
286. The Impact of Fertilizer Amendments on Soil Autotrophic Bacteria and Carbon Emissions in Maize Field on the Semiarid Loess Plateau J. Wang et al. 10.3389/fmicb.2021.664120
287. Optimal design of surface CO2 observation network to constrain China’s land carbon sink Y. Wang et al. 10.1016/j.scib.2023.07.010
288. Compensatory water effects link yearly global land CO2 sink changes to temperature M. Jung et al. 10.1038/nature20780
289. Development of a Mesoscale Inversion System for Estimating Continental‐Scale CO2 Fluxes D. Wesloh et al. 10.1029/2019MS001818
290. Drivers of column-average CO<sub>2</sub> variability at Southern Hemispheric Total Carbon Column Observing Network sites N. Deutscher et al. 10.5194/acp-14-9883-2014
291. Experimental Estimates of Integral Anthropogenic CO2 Emissions in the City of St. Petersburg Y. Timofeyev et al. 10.1134/S0001433822030100
292. 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
293. Accounting for the vertical distribution of emissions in atmospheric CO<sub>2</sub> simulations D. Brunner et al. 10.5194/acp-19-4541-2019
294. Optimizing 4 years of CO2 biospheric fluxes from OCO-2 and in situ data in TM5: fire emissions from GFED and inferred from MOPITT CO data H. Peiro et al. 10.5194/acp-22-15817-2022
295. A global carbon assimilation system based on a dual optimization method H. Zheng et al. 10.5194/bg-12-1131-2015
296. Recent trends and drivers of regional sources and sinks of carbon dioxide S. Sitch et al. 10.5194/bg-12-653-2015
297. The CO2 record at the Amazon Tall Tower Observatory: A new opportunity to study processes on seasonal and inter‐annual scales S. Botía et al. 10.1111/gcb.15905
298. Effect of meteorological data assimilation using 3DVAR on high-resolution simulations of atmospheric CO2 concentrations in East Asia M. Seo & H. Kim 10.1016/j.apr.2023.101759
299. The impact of transport model differences on CO<sub>2</sub> surface flux estimates from OCO-2 retrievals of column average CO<sub>2</sub> S. Basu et al. 10.5194/acp-18-7189-2018
300. Greenhouse gas simulations with a coupled meteorological and transport model: the predictability of CO<sub>2</sub> S. Polavarapu et al. 10.5194/acp-16-12005-2016
301. Accelerated MCMC for Satellite-Based Measurements of Atmospheric CO2 O. Lamminpää et al. 10.3390/rs11172061
302. Net terrestrial CO2exchange over China during 2001-2010 estimated with an ensemble data assimilation system for atmospheric CO2 H. Zhang et al. 10.1002/2013JD021297
303. Perturbations in the carbon budget of the tropics J. Grace et al. 10.1111/gcb.12600
304. Estimation of observation errors for large-scale atmospheric inversion of CO₂ emissions from fossil fuel combustion Y. Wang et al. 10.1080/16000889.2017.1325723
305. Sea–air CO<sub>2</sub> fluxes in the Southern Ocean for the period 1990–2009 A. Lenton et al. 10.5194/bg-10-4037-2013
306. On the variation of regional CO2 exchange over temperate and boreal North America X. Zhang et al. 10.1002/gbc.20091
307. Reassessing Southern Ocean Air‐Sea CO2 Flux Estimates With the Addition of Biogeochemical Float Observations S. Bushinsky et al. 10.1029/2019GB006176
308. Regional inversion of CO<sub>2</sub> ecosystem fluxes from atmospheric measurements: reliability of the uncertainty estimates G. Broquet et al. 10.5194/acp-13-9039-2013
309. Divergent response of seasonally dry tropical vegetation to climatic variations in dry and wet seasons X. Wang et al. 10.1111/gcb.14335