103 citations as recorded by crossref.

1. Estimates of Anthropogenic CO2 Emissions for Moscow and St. Petersburg Based on OCO-2 Satellite Measurements Y. Timofeev et al. 10.1134/S1024856020060238
2. Consistent regional fluxes of CH4 and CO2 inferred from GOSAT proxy XCH4 : XCO2 retrievals, 2010–2014 L. Feng et al. 10.5194/acp-17-4781-2017
3. 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
4. Spatio-Temporal Mapping of Multi-Satellite Observed Column Atmospheric CO2 Using Precision-Weighted Kriging Method Z. He et al. 10.3390/rs12030576
5. 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
6. Inverse modeling of GOSAT-retrieved ratios of total column CH4 and CO2 for 2009 and 2010 S. Pandey et al. 10.5194/acp-16-5043-2016
7. 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
8. 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
9. Spatiotemporal distribution patterns of atmospheric methane using GOSAT data in Iran S. Mousavi & S. Falahatkar 10.1007/s10668-019-00378-5
10. 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
11. 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
12. Top-down constraints on global N2O emissions at optimal resolution: application of a new dimension reduction technique K. Wells et al. 10.5194/acp-18-735-2018
13. Future inhibition of ecosystem productivity by increasing wildfire pollution over boreal North America X. Yue et al. 10.5194/acp-17-13699-2017
14. Sensitivity analysis of the potential impact of discrepancies in stratosphere–troposphere exchange on inferred sources and sinks of CO2 F. Deng et al. 10.5194/acp-15-11773-2015
15. On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems? B. Byrne et al. 10.5194/acp-19-13017-2019
16. Atmospheric CO2 inversions on the mesoscale using data-driven prior uncertainties: quantification of the European terrestrial CO2 fluxes P. Kountouris et al. 10.5194/acp-18-3047-2018
17. Characterizing model errors in chemical transport modeling of methane: impact of model resolution in versions v9-02 of GEOS-Chem and v35j of its adjoint model I. Stanevich et al. 10.5194/gmd-13-3839-2020
18. Constraining a terrestrial biosphere model with remotely sensed atmospheric carbon dioxide T. Kaminski et al. 10.1016/j.rse.2017.08.017
19. How well can inverse analyses of high-resolution satellite data resolve heterogeneous methane fluxes? Observing system simulation experiments with the GEOS-Chem adjoint model (v35) X. Yu et al. 10.5194/gmd-14-7775-2021
20. Improved estimates of net ecosystem exchanges in mega-countries using GOSAT and OCO-2 observations L. Zhang et al. 10.1038/s43247-024-01910-w
21. A Cluster of CO2 Change Characteristics with GOSAT Observations for Viewing the Spatial Pattern of CO2 Emission and Absorption D. Liu et al. 10.3390/atmos6111695
22. High-Resolution Geos-Chem Model for Indian Monsoon Region: Seasonal Cycle and Budget of Tropospheric Co2 S. Allahudheen et al. 10.2139/ssrn.4161842
23. 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
24. 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
25. 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
26. National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the global stocktake B. Byrne et al. 10.5194/essd-15-963-2023
27. 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
28. Identifying local anthropogenic CO2 emissions with satellite retrievals: a case study in South Korea C. Shim et al. 10.1080/01431161.2018.1523585
29. Evidence of Carbon Uptake Associated with Vegetation Greening Trends in Eastern China Z. He et al. 10.3390/rs12040718
30. Combining GOSAT XCO2 observations over land and ocean to improve regional CO2 flux estimates F. Deng et al. 10.1002/2015JD024157
31. 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
32. An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm T. Taylor et al. 10.5194/essd-14-325-2022
33. Mapping of satellite Earth observations using moving window block kriging J. Tadić et al. 10.5194/gmd-8-3311-2015
34. Net CO2 fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes A. Babenhauserheide et al. 10.5194/amt-13-2697-2020
35. OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO2 Fluxes Over South Asia S. Philip et al. 10.1029/2021JD035035
36. Use of Assimilation Analysis in 4D-Var Source Inversion: Observing System Simulation Experiments (OSSEs) with GOSAT Methane and Hemispheric CMAQ S. Voshtani et al. 10.3390/atmos14040758
37. 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
38. Inverse modeling of pan-Arctic methane emissions at high spatial resolution: what can we learn from assimilating satellite retrievals and using different process-based wetland and lake biogeochemical models? Z. Tan et al. 10.5194/acp-16-12649-2016
39. Critical review on mobile direct air capture: Concept expansion, characteristic description, and performance evaluation S. Li et al. 10.1016/j.matt.2024.01.003
40. 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
41. 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
42. Sensitivity of CO2 surface flux constraints to observational coverage B. Byrne et al. 10.1002/2016JD026164
43. Technical note: Posterior uncertainty estimation via a Monte Carlo procedure specialized for 4D-Var data assimilation M. Stanley et al. 10.5194/acp-24-9419-2024
44. A 15-year record of CO emissions constrained by MOPITT CO observations Z. Jiang et al. 10.5194/acp-17-4565-2017
45. A regional CO2 observing system simulation experiment for the ASCENDS satellite mission J. Wang et al. 10.5194/acp-14-12897-2014
46. Detecting drought impact on terrestrial biosphere carbon fluxes over contiguous US with satellite observations J. Liu et al. 10.1088/1748-9326/aad5ef
47. Source‐receptor relationships of column‐average CO2 and implications for the impact of observations on flux inversions J. Liu et al. 10.1002/2014JD022914
48. Constraints on methane emissions in North America from future geostationary remote-sensing measurements N. Bousserez et al. 10.5194/acp-16-6175-2016
49. Seamless mapping of long-term (2010–2020) daily global XCO2 and XCH4 from the Greenhouse Gases Observing Satellite (GOSAT), Orbiting Carbon Observatory 2 (OCO-2), and CAMS global greenhouse gas reanalysis (CAMS-EGG4) with a spatiotemporally self-supervised fusion method Y. Wang et al. 10.5194/essd-15-3597-2023
50. The Effect of GOSAT Observations on Estimates of Net CO₂ Flux in Semi-Arid Regions of the Southern Hemisphere M. Kondo et al. 10.2151/sola.2016-037
51. Global Terrestrial Ecosystem Carbon Flux Inferred from TanSat XCO 2 Retrievals H. Wang et al. 10.34133/2022/9816536
52. Prior biosphere model impact on global terrestrial CO2 fluxes estimated from OCO-2 retrievals S. Philip et al. 10.5194/acp-19-13267-2019
53. Spatio-Temporal Consistency Evaluation of XCO2 Retrievals from GOSAT and OCO-2 Based on TCCON and Model Data for Joint Utilization in Carbon Cycle Research Y. Kong et al. 10.3390/atmos10070354
54. Comparative Evaluation of Top-Down GOSAT XCO2 vs. Bottom-Up National Reports in the European Countries Y. Hwang et al. 10.3390/su13126700
55. 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
56. Long-Term Observations of Atmospheric Constituents at the First Ground-Based High-Resolution Fourier-Transform Spectrometry Observation Station in China C. Liu et al. 10.1016/j.eng.2021.11.022
57. Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals W. He et al. 10.1029/2022JD037773
58. A measurement-based verification framework for UK greenhouse gas emissions: an overview of the Greenhouse gAs Uk and Global Emissions (GAUGE) project P. Palmer et al. 10.5194/acp-18-11753-2018
59. Global atmospheric CO2 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
60. The status and development proposal of carbon sources and sinks monitoring satellite system G. Meng et al. 10.1007/s43979-022-00033-5
61. A Robust Estimate of Continental‐Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals L. Zhang et al. 10.1029/2023GL102815
62. Consistent evaluation of ACOS-GOSAT, BESD-SCIAMACHY, CarbonTracker, and MACC through comparisons to TCCON S. Kulawik et al. 10.5194/amt-9-683-2016
63. The potential of Orbiting Carbon Observatory-2 data to reduce the uncertainties in CO2 surface fluxes over Australia using a variational assimilation scheme Y. Villalobos et al. 10.5194/acp-20-8473-2020
64. Assimilation of carbonyl sulfide (COS) fluxes within the adjoint-based data assimilation system – Nanjing University Carbon Assimilation System (NUCAS v1.0) H. Zhu et al. 10.5194/gmd-17-6337-2024
65. 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
66. Review and perspective of remote sensing research on global greenhouse gas monitoring and stocktaking L. Liu et al. 10.1360/TB-2024-1033
67. Automatic processing of atmospheric CO2 and CH4 mole fractions at the ICOS Atmosphere Thematic Centre L. Hazan et al. 10.5194/amt-9-4719-2016
68. A review of datasets and methods for deriving spatiotemporal distributions of atmospheric CO2 C. He et al. 10.1016/j.jenvman.2022.116101
69. Global and Brazilian Carbon Response to El Niño Modoki 2011–2010 K. Bowman et al. 10.1002/2016EA000204
70. Was Australia a sink or source of CO2 in 2015? Data assimilation using OCO-2 satellite measurements Y. Villalobos et al. 10.5194/acp-21-17453-2021
71. Technical note: 3-hourly temporal downscaling of monthly global terrestrial biosphere model net ecosystem exchange J. Fisher et al. 10.5194/bg-13-4271-2016
72. Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. 10.5194/gmd-11-1725-2018
73. 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
74. A global synthesis inversion analysis of recent variability in CO2 fluxes using GOSAT and in situ observations J. Wang et al. 10.5194/acp-18-11097-2018
75. Preliminary Assessment of Methane Concentration Variation Observed by GOSAT in China X. Qin et al. 10.1155/2015/125059
76. Terrestrial ecosystem carbon flux estimated using GOSAT and OCO-2 XCO2 retrievals H. Wang et al. 10.5194/acp-19-12067-2019
77. Thermal infrared laser heterodyne spectroradiometry for solar occultation atmospheric CO2 measurements A. Hoffmann et al. 10.5194/amt-9-5975-2016
78. A comparison of posterior atmospheric CO2 adjustments obtained from in situ and GOSAT constrained flux inversions S. Polavarapu et al. 10.5194/acp-18-12011-2018
79. Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
80. Global-Scale Evaluation of XCO2 Products from GOSAT, OCO-2 and CarbonTracker Using Direct Comparison and Triple Collocation Method Y. Chen et al. 10.3390/rs14225635
81. Greenhouse gas column observations from a portable spectrometer in Uganda N. Humpage et al. 10.5194/amt-17-5679-2024
82. 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
83. Bias corrections of GOSAT SWIR XCO<sub>2</sub> and XCH<sub>4</sub> with TCCON data and their evaluation using aircraft measurement data M. Inoue et al. 10.5194/amt-9-3491-2016
84. Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH4 data with weak-constraint four-dimensional variational data assimilation I. Stanevich et al. 10.5194/acp-21-9545-2021
85. Fourier transform spectrometer measurements of column CO2 at Sodankylä, Finland R. Kivi & P. Heikkinen 10.5194/gi-5-271-2016
86. Objective evaluation of surface- and satellite-driven carbon dioxide atmospheric inversions F. Chevallier et al. 10.5194/acp-19-14233-2019
87. 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
88. Evaluating GPP and Respiration Estimates Over Northern Midlatitude Ecosystems Using Solar‐Induced Fluorescence and Atmospheric CO2 Measurements B. Byrne et al. 10.1029/2018JG004472
89. A Top-Down Method for Estimating Regional Fossil Fuel Carbon Emissions Based on Satellite XCO2 Retrievals L. Zhang et al. 10.3390/rs17030447
90. Revisiting the quantification of power plant CO2 emissions in the United States and China from satellite: A comparative study using three top-down approaches C. He et al. 10.1016/j.rse.2024.114192
91. Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations T. Zheng et al. 10.1088/1748-9326/ab25ae
92. The First Global Carbon Dioxide Flux Map Derived from TanSat Measurements D. Yang et al. 10.1007/s00376-021-1179-7
93. 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
94. Comparison of Atmospheric Carbon Dioxide Concentrations Based on GOSAT, OCO-2 Observations and Ground-Based TCCON Data J. Zheng et al. 10.3390/rs15215172
95. Regional data assimilation of multi-spectral MOPITT observations of CO over North America Z. Jiang et al. 10.5194/acp-15-6801-2015
96. Important evidence of constant low CO2 windows and impacts on the non-closure of the greenhouse effect J. Zhao et al. 10.1038/s41598-019-41562-x
97. 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
98. 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
99. Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics Z. Zeng et al. 10.1080/17538947.2016.1156777
100. Characterizing biospheric carbon balance using CO2 observations from the OCO-2 satellite S. Miller et al. 10.5194/acp-18-6785-2018
101. Examining partial-column density retrieval of lower-tropospheric CO2 from GOSAT target observations over global megacities A. Kuze et al. 10.1016/j.rse.2022.112966
102. Estimates of European uptake of CO2 inferred from GOSAT XCO2 retrievals: sensitivity to measurement bias inside and outside Europe L. Feng et al. 10.5194/acp-16-1289-2016
103. Consistent evaluation of GOSAT, SCIAMACHY, CarbonTracker, and MACC through comparisons to TCCON S. Kulawik et al. 10.5194/amtd-8-6217-2015