96 citations as recorded by crossref.

1. Contributions of economic growth, terrestrial sinks, and atmospheric transport to the increasing atmospheric CO2 concentrations over the Korean Peninsula J. Yun & S. Jeong 10.1186/s13021-021-00186-3
2. Consistency of seasonal variability in regional CO2 fluxes from GOSAT-IM, NASA-GEOS, and NOAA-CT M. Krishnapriya et al. 10.1007/s12040-022-01934-w
3. Accelerating carbon uptake in the Northern Hemisphere: evidence from the interhemispheric difference of atmospheric CO₂ concentrations Y. Wang et al. 10.3402/tellusb.v65i0.20334
4. Global Terrestrial Ecosystem Carbon Flux Inferred from TanSat XCO 2 Retrievals H. Wang et al. 10.34133/2022/9816536
5. 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
6. Uplifting of carbon monoxide from biomass burning and anthropogenic sources to the free troposphere in East Asia K. Ding et al. 10.5194/acp-15-2843-2015
7. 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
8. Maniçoba for sheep and goats - forage yield, conservation strategies, animal performance and quality of products M. Gomes et al. 10.1590/0103-8478cr20201096
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10. Evaluating Satellite Observed CO2 Column by a 3-D Atmospheric Transport Model X. Guan et al. 10.1088/1755-1315/17/1/012010
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12. Far-field biogenic and anthropogenic emissions as a dominant source of variability in local urban carbon budgets: A global high-resolution model study with implications for satellite remote sensing A. Schuh et al. 10.1016/j.rse.2021.112473
13. Three‐dimensional simulations for counter‐flow proton exchange membrane fuel cells with thin catalyst‐coated membrane cooled by liquid water X. Liu et al. 10.1002/er.7945
14. Sensitivity analysis of the potential impact of discrepancies in stratosphere–troposphere exchange on inferred sources and sinks of CO<sub>2</sub> F. Deng et al. 10.5194/acp-15-11773-2015
15. Improved method for linear carbon monoxide simulation and source attribution in atmospheric chemistry models illustrated using GEOS-Chem v9 J. Fisher et al. 10.5194/gmd-10-4129-2017
16. Global Atmospheric CO2 Concentrations Simulated by GEOS-Chem: Comparison with GOSAT, Carbon Tracker and Ground-Based Measurements Y. Jing et al. 10.3390/atmos9050175
17. Using Green’s Functions to initialize and adjust a global, eddying ocean biogeochemistry general circulation model H. Brix et al. 10.1016/j.ocemod.2015.07.008
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19. Improved simulation of regional CO<sub>2</sub> surface concentrations using GEOS-Chem and fluxes from VEGAS Z. Chen et al. 10.5194/acp-13-7607-2013
20. Validation of GOSAT and OCO-2 against In Situ Aircraft Measurements and Comparison with CarbonTracker and GEOS-Chem over Qinhuangdao, China F. Mustafa et al. 10.3390/rs13050899
21. Characterization of Tropospheric Emission Spectrometer (TES) CO<sub>2</sub> for carbon cycle science S. Kulawik et al. 10.5194/acp-10-5601-2010
22. 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
23. Simulation of Non-Homogeneous CO2 and Its Impact on Regional Temperature in East Asia X. Xie et al. 10.1007/s13351-018-7159-x
24. 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
25. Assessing Carbon Emissions from Biomass Burning in Croplands in Burkina Faso, West Africa P. Bougma et al. 10.3390/fire6100402
26. Global satellite-driven estimates of heterotrophic respiration A. Konings et al. 10.5194/bg-16-2269-2019
27. Impact of Prior Terrestrial Carbon Fluxes on Simulations of Atmospheric CO2 Concentrations Y. Fu et al. 10.1029/2021JD034794
28. 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
29. A Functional Response Metric for the Temperature Sensitivity of Tropical Ecosystems G. Keppel-Aleks et al. 10.1175/EI-D-17-0017.1
30. Variability of Atmospheric CO2 Over the Arctic Ocean: Insights From the O‐Buoy Chemical Observing Network K. Graham et al. 10.1029/2022JD036437
31. Carbon monitoring system flux estimation and attribution: impact of ACOS-GOSAT XCO₂ sampling on the inference of terrestrial biospheric sources and sinks J. Liu et al. 10.3402/tellusb.v66.22486
32. Regional uncertainty of GOSAT XCO<sub>2</sub> retrievals in China: quantification and attribution N. Bie et al. 10.5194/amt-11-1251-2018
33. 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
34. High-resolution GEOS-Chem model for Indian monsoon region: Seasonal cycle and budget of tropospheric CO2 S. Allahudheen et al. 10.1016/j.atmosenv.2023.119913
35. Inverse modeling of CO<sub>2</sub> sources and sinks using satellite observations of CO<sub>2</sub> from TES and surface flask measurements R. Nassar et al. 10.5194/acp-11-6029-2011
36. 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
37. Simultaneous shipborne measurements of CO<sub>2</sub>, CH<sub>4</sub> and CO and their application to improving greenhouse-gas flux estimates in Australia B. Bukosa et al. 10.5194/acp-19-7055-2019
38. Prediction of Satellite-Based Column CO2 Concentration by Combining Emission Inventory and LULC Information S. Bhattacharjee & J. Chen 10.1109/TGRS.2020.2985047
39. Source and meteorological influences on air quality (CO, CH4 & CO2) at a Southern Hemisphere urban site R. Buchholz et al. 10.1016/j.atmosenv.2015.11.041
40. Spatiotemporal Variations and Uncertainty in Crop Residue Burning Emissions over North China Plain: Implication for Atmospheric CO2 Simulation Y. Fu et al. 10.3390/rs13193880
41. Effect of continental sources and sinks on the seasonal and latitudinal gradient of atmospheric carbon dioxide over East Asia C. Shim et al. 10.1016/j.atmosenv.2013.07.055
42. National CO2budgets (2015–2020) inferred from atmospheric CO2observations in support of the global stocktake B. Byrne et al. 10.5194/essd-15-963-2023
43. Evaluation of seasonal atmosphere–biosphere exchange estimations with TCCON measurements J. Messerschmidt et al. 10.5194/acp-13-5103-2013
44. Spatial distributions of <i>X</i><sub>CO<sub>2</sub></sub> seasonal cycle amplitude and phase over northern high-latitude regions N. Jacobs et al. 10.5194/acp-21-16661-2021
45. Sensitivity of the simulated CO2 concentration to inter-annual variations of its sources and sinks over East Asia Y. Fu et al. 10.1016/j.accre.2020.03.001
46. Analysis of Long-Range Transport of Carbon Dioxide and Its High Concentration Events over East Asian Region Using GOSAT Data and GEOS-Chem Modeling S. Kim et al. 10.1155/2015/680264
47. High-Resolution Geos-Chem Model for Indian Monsoon Region: Seasonal Cycle and Budget of Tropospheric Co2 S. Allahudheen et al. 10.2139/ssrn.4161842
48. Improving the temporal and spatial distribution of CO2 emissions from global fossil fuel emission data sets R. Nassar et al. 10.1029/2012JD018196
49. Profiling tropospheric CO<sub>2</sub> using Aura TES and TCCON instruments L. Kuai et al. 10.5194/amt-6-63-2013
50. A global synthesis inversion analysis of recent variability in CO<sub>2</sub> fluxes using GOSAT and in situ observations J. Wang et al. 10.5194/acp-18-11097-2018
51. 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
52. 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
53. WOMBAT v1.0: a fully Bayesian global flux-inversion framework A. Zammit-Mangion et al. 10.5194/gmd-15-45-2022
54. Evidence of Carbon Uptake Associated with Vegetation Greening Trends in Eastern China Z. He et al. 10.3390/rs12040718
55. Retrieval of vertical profiles and tropospheric CO2 columns based on high-resolution FTIR over Hefei, China C. Shan et al. 10.1364/OE.411383
56. A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches F. Jiang et al. 10.1038/srep22130
57. A comparison of atmospheric CO2 concentration GOSAT-based observations and model simulations L. Lei et al. 10.1007/s11430-013-4807-y
58. A joint data assimilation system (Tan-Tracker) to simultaneously estimate surface CO<sub>2</sub> fluxes and 3-D atmospheric CO<sub>2</sub> concentrations from observations X. Tian et al. 10.5194/acp-14-13281-2014
59. Two-Year Comparison of Airborne Measurements of CO2 and CH4 With GOSAT at Railroad Valley, Nevada T. Tanaka et al. 10.1109/TGRS.2016.2539973
60. 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
61. Global and Brazilian Carbon Response to El Niño Modoki 2011–2010 K. Bowman et al. 10.1002/2016EA000204
62. Interpreting seasonal changes in the carbon balance of southern Amazonia using measurements of XCO2 and chlorophyll fluorescence from GOSAT N. Parazoo et al. 10.1002/grl.50452
63. Identifying local anthropogenic CO2 emissions with satellite retrievals: a case study in South Korea C. Shim et al. 10.1080/01431161.2018.1523585
64. 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
65. Modeling the Recent Changes in the Arctic Ocean CO2 Sink (2006–2013) M. Manizza et al. 10.1029/2018GB006070
66. Carbon Monitoring System Flux Net Biosphere Exchange 2020 (CMS-Flux NBE 2020) J. Liu et al. 10.5194/essd-13-299-2021
67. Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics Z. Zeng et al. 10.1080/17538947.2016.1156777
68. Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. 10.5194/gmd-11-1725-2018
69. 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
70. Drivers of multi-century trends in the atmospheric CO<sub>2</sub> mean annual cycle in a prognostic ESM J. Liptak et al. 10.5194/bg-14-1383-2017
71. A synthesis of carbon dioxide emissions from fossil-fuel combustion R. Andres et al. 10.5194/bg-9-1845-2012
72. Source‐receptor relationships of column‐average CO2 and implications for the impact of observations on flux inversions J. Liu et al. 10.1002/2014JD022914
73. Evaluating CMIP5 ocean biogeochemistry and Southern Ocean carbon uptake using atmospheric potential oxygen: Present‐day performance and future projection C. Nevison et al. 10.1002/2015GL067584
74. Siberian and temperate ecosystems shape Northern Hemisphere atmospheric CO 2 seasonal amplification X. Lin et al. 10.1073/pnas.1914135117
75. Separating the influence of temperature, drought, and fire on interannual variability in atmospheric CO2 G. Keppel‐Aleks et al. 10.1002/2014GB004890
76. Histo-anatomical pattern, degradability and secondary compounds in different accessions of maniçoba (Manihot spp.) and different stages of maturation K. Silva et al. 10.1590/1983-21252023v36n422rc
77. Comparison of Model-simulated Atmospheric Carbon Dioxide with GOSAT Retrievals C. Shim et al. 10.5572/ajae.2011.5.4.263
78. Development of a grid-independent GEOS-Chem chemical transport model (v9-02) as an atmospheric chemistry module for Earth system models M. Long et al. 10.5194/gmd-8-595-2015
79. Impacts of different biomass burning emission inventories: Simulations of atmospheric CO2 concentrations based on GEOS-Chem M. Su et al. 10.1016/j.scitotenv.2023.162825
80. A Coupled CH4, CO and CO2 Simulation for Improved Chemical Source Modeling B. Bukosa et al. 10.3390/atmos14050764
81. Comparison between the Local Ensemble Transform Kalman Filter (LETKF) and 4D‐Var in atmospheric CO2 flux inversion with the Goddard Earth Observing System‐Chem model and the observation impact diagnostics from the LETKF J. Liu et al. 10.1002/2016JD025100
82. Detection of Spatiotemporal Extreme Changes in Atmospheric CO2 Concentration Based on Satellite Observations Z. He et al. 10.3390/rs10060839
83. Fusion of multi-source near-surface CO2 concentration data based on high accuracy surface modeling Z. Mingwei et al. 10.1016/j.apr.2017.05.003
84. Improving the quantification of terrestrial ecosystem carbon dynamics over the United States using an adjoint method Q. Zhu & Q. Zhuang 10.1890/ES13-00058.1
85. Inferring regional sources and sinks of atmospheric CO<sub>2</sub> from GOSAT XCO<sub>2</sub> data F. Deng et al. 10.5194/acp-14-3703-2014
86. On the impact of granularity of space-based urban CO2 emissions in urban atmospheric inversions: A case study for Indianapolis, IN T. Oda et al. 10.1525/elementa.146
87. OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO2 Fluxes Over South Asia S. Philip et al. 10.1029/2021JD035035
88. Improved analysis‐error covariance matrix for high‐dimensional variational inversions: application to source estimation using a 3D atmospheric transport model N. Bousserez et al. 10.1002/qj.2495
89. Specific patterns of XCO2 observed by GOSAT during 2009–2016 and assessed with model simulations over China N. Bie et al. 10.1007/s11430-018-9377-7
90. Towards understanding the variability in biospheric CO<sub>2</sub> fluxes: using FTIR spectrometry and a chemical transport model to investigate the sources and sinks of carbonyl sulfide and its link to CO<sub>2</sub> Y. Wang et al. 10.5194/acp-16-2123-2016
91. HIAPER Pole-to-Pole Observations (HIPPO): fine-grained, global-scale measurements of climatically important atmospheric gases and aerosols S. Wofsy 10.1098/rsta.2010.0313
92. A Case Study on Observed and Simulated CO2Concentration Profiles in Hefei based on Raman Lidar and GEOS-Chem Model Y. Wang et al. 10.1051/epjconf/201611905019
93. The impacts of modeling global CO2 concentrations with GEOS-Chem using different ocean carbon fluxes S. ZHANG & X. TIAN 10.1080/16742834.2019.1631690
94. Observed and simulated features of the CO2 diurnal cycle in the boundary layer at Beijing and Hefei, China Y. Wang et al. 10.1007/s11434-014-0194-9
95. Seasonal variability of tropospheric CO2 over India based on model simulation, satellite retrieval and in-situ observation M. Krishnapriya et al. 10.1007/s12040-020-01478-x
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