122 citations as recorded by crossref.

1. Pixel Size and Revisit Rate Requirements for Monitoring Power Plant CO2 Emissions from Space T. Hill & R. Nassar https://doi.org/10.3390/rs11131608
2. CO2 Flux over the Contiguous United States in 2016 Inverted by WRF-Chem/DART from OCO-2 XCO2 Retrievals Q. Zhang et al. https://doi.org/10.3390/rs13152996
3. Estimating enhancement ratios of nitrogen dioxide, carbon monoxide and carbon dioxide using satellite observations C. MacDonald et al. https://doi.org/10.5194/acp-23-3493-2023
4. Spectral sizing of a coarse-spectral-resolution satellite sensor for XCO2 J. Wilzewski et al. https://doi.org/10.5194/amt-13-731-2020
5. Assessing the feasibility of using a neural network to filter Orbiting Carbon Observatory 2 (OCO-2) retrievals at northern high latitudes J. Mendonca et al. https://doi.org/10.5194/amt-14-7511-2021
6. Can a regional-scale reduction of atmospheric CO2 during the COVID-19 pandemic be detected from space? A case study for East China using satellite XCO2 retrievals M. Buchwitz et al. https://doi.org/10.5194/amt-14-2141-2021
7. Retrieval anthropogenic CO2 emissions from OCO-2 and comparison with gridded emission inventories C. Jin et al. https://doi.org/10.1016/j.jclepro.2024.141418
8. Performance and polarization response of slit homogenizers for the GeoCarb mission S. Crowell et al. https://doi.org/10.5194/amt-16-195-2023
9. Urban-focused satellite CO2 observations from the Orbiting Carbon Observatory-3: A first look at the Los Angeles megacity M. Kiel et al. https://doi.org/10.1016/j.rse.2021.112314
10. Greenhouse gas measurement campaign of the Earth Summit Mission-2022: ground-based in situ and FTIR observations and contribution to satellite validation in the Qomolangma region M. Zhou et al. https://doi.org/10.5194/amt-18-4311-2025
11. Retrieving the atmospheric concentrations of carbon dioxide and methane from the European Copernicus CO2M satellite mission using artificial neural networks M. Reuter et al. https://doi.org/10.5194/amt-18-241-2025
12. New ground-based Fourier-transform near-infrared solar absorption measurements of XCO2, XCH4 and XCO at Xianghe, China Y. Yang et al. https://doi.org/10.5194/essd-12-1679-2020
13. Variation patterns and driving factors of regional atmospheric CO2 anomalies in China Y. Fu et al. https://doi.org/10.1007/s11356-021-17139-5
14. Predominantly positive XCO2 anomalies in the Caatinga biome highlight carbon vulnerability L. Silva et al. https://doi.org/10.1038/s41598-026-37629-1
15. Validation of XCO2 and XCH4 retrieved from a portable Fourier transform spectrometer with those from in situ profiles from aircraft-borne instruments H. Ohyama et al. https://doi.org/10.5194/amt-13-5149-2020
16. Effect of meteorological data assimilation using 3DVAR on high-resolution simulations of atmospheric CO2 concentrations in East Asia M. Seo & H. Kim https://doi.org/10.1016/j.apr.2023.101759
17. Characterization of the Regional Carbon Balance Based on Satellite Observations of Carbon Dioxide I. Konovalov et al. https://doi.org/10.1134/S1028334X25606893
18. 基于GEOS-Chem和多源卫星数据的全球CO2柱浓度同化分析 颜. Yan Xuezhi et al. https://doi.org/10.3788/AOS250644
19. Neural-network-based estimation of regional-scale anthropogenic CO2 emissions using an Orbiting Carbon Observatory-2 (OCO-2) dataset over East and West Asia F. Mustafa et al. https://doi.org/10.5194/amt-14-7277-2021
20. Exploring CO2 anomalies in Brazilian biomes combining OCO-2 & 3 data: Linkages to wildfires patterns L. da Costa et al. https://doi.org/10.1016/j.asr.2024.01.016
21. Full-physics carbon dioxide retrievals from the Orbiting Carbon Observatory-2 (OCO-2) satellite by only using the 2.06 µm band L. Wu et al. https://doi.org/10.5194/amt-12-6049-2019
22. 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. https://doi.org/10.5194/acp-22-8897-2022
23. Characterizing Average Seasonal, Synoptic, and Finer Variability in Orbiting Carbon Observatory‐2 XCO2 Across North America and Adjacent Ocean Basins K. Mitchell et al. https://doi.org/10.1029/2022JD036696
24. Influence of vapor pressure deficit on vegetation growth in China C. Li et al. https://doi.org/10.1007/s40333-024-0077-0
25. Spatial Synergies Between Air Pollutants and CO2 in China: From Emission and Concentration Perspectives Y. Wang et al. https://doi.org/10.3390/su18104792
26. An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm T. Taylor et al. https://doi.org/10.5194/essd-14-325-2022
27. Neutral Tropical African CO2 Exchange Estimated From Aircraft and Satellite Observations B. Gaubert et al. https://doi.org/10.1029/2023GB007804
28. Evaluation of OCO‐2 X Variability at Local and Synoptic Scales using Lidar and In Situ Observations from the ACT‐America Campaigns E. Bell et al. https://doi.org/10.1029/2019JD031400
29. Effects of Emission Variability on Atmospheric CO2 Concentrations in Mainland China W. Lu et al. https://doi.org/10.3390/rs17050814
30. A new algorithm to generate a priori trace gas profiles for the GGG2020 retrieval algorithm J. Laughner et al. https://doi.org/10.5194/amt-16-1121-2023
31. Analysis of CO2 spatio-temporal variations in China using a weather–biosphere online coupled model X. Dong et al. https://doi.org/10.5194/acp-21-7217-2021
32. Prediction of Satellite-Based Column CO2 Concentration by Combining Emission Inventory and LULC Information S. Bhattacharjee & J. Chen https://doi.org/10.1109/TGRS.2020.2985047
33. Objective evaluation of surface- and satellite-driven carbon dioxide atmospheric inversions F. Chevallier et al. https://doi.org/10.5194/acp-19-14233-2019
34. Building a bridge: characterizing major anthropogenic point sources in the South African Highveld region using OCO-3 carbon dioxide snapshot area maps and Sentinel-5P/TROPOMI nitrogen dioxide columns J. Hakkarainen et al. https://doi.org/10.1088/1748-9326/acb837
35. 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. https://doi.org/10.5194/acp-22-1097-2022
36. Toward High Precision XCO2Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements D. Yang et al. https://doi.org/10.1029/2020JD032794
37. 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. https://doi.org/10.3390/rs13050899
38. Carbon loss from forest degradation exceeds that from deforestation in the Brazilian Amazon Y. Qin et al. https://doi.org/10.1038/s41558-021-01026-5
39. Was Australia a sink or source of CO2 in 2015? Data assimilation using OCO-2 satellite measurements Y. Villalobos et al. https://doi.org/10.5194/acp-21-17453-2021
40. Correcting 3D cloud effects in XCO2 retrievals from the Orbiting Carbon Observatory-2 (OCO-2) S. Mauceri et al. https://doi.org/10.5194/amt-16-1461-2023
41. Ground-Based Atmospheric CO2, CH4, and CO Column Measurements at Golmud in the Qinghai-Tibetan Plateau and Comparisons with TROPOMI/S5P Satellite Observations M. Zhou et al. https://doi.org/10.1007/s00376-022-2116-0
42. Variation of XCO 2 anomaly patterns in the Middle East from OCO-2 satellite data F. Golkar & S. Mousavi https://doi.org/10.1080/17538947.2022.2096936
43. A nonlinear data-driven approach to bias correction of XCO2 for NASA's OCO-2 ACOS version 10 W. Keely et al. https://doi.org/10.5194/amt-16-5725-2023
44. 净零排放对中国大气二氧化碳浓度的影响——基于GEOS-Chem模型的理想模拟 景. 谭 et al. https://doi.org/10.1360/N072024-0163
45. Evaluating national and subnational CO2 mitigation goals in China’s thirteenth five-year plan from satellite observations G. Pan et al. https://doi.org/10.1016/j.envint.2021.106771
46. Atmospheric carbon dioxide measurement from aircraft and comparison with OCO-2 and CarbonTracker model data Q. Wang et al. https://doi.org/10.5194/amt-14-6601-2021
47. Evaluation of MOPITT Version 7 joint TIR–NIR XCO retrievals with TCCON J. Hedelius et al. https://doi.org/10.5194/amt-12-5547-2019
48. Global Atmospheric CO2 Simulations with the IAP-AACM Model Using an Improved Vertical Diffusion Scheme and Evaluation with Multi-Source Data Z. Zou et al. https://doi.org/10.3390/atmos17080787
49. Analyzing nitrogen oxides to carbon dioxide emission ratios from space: A case study of Matimba Power Station in South Africa J. Hakkarainen et al. https://doi.org/10.1016/j.aeaoa.2021.100110
50. Using OCO-2 Observations to Constrain Regional CO2 Fluxes Estimated with the Vegetation, Photosynthesis and Respiration Model I. Konovalov et al. https://doi.org/10.3390/rs17020177
51. Global Daily Column Average CO2 at 0.1° × 0.1° Spatial Resolution Integrating OCO-3, GOSAT, CAMS with EOF and Deep Learning F. Antezana Lopez et al. https://doi.org/10.1038/s41597-024-04135-w
52. Detecting the Responses of CO2 Column Abundances to Anthropogenic Emissions from Satellite Observations of GOSAT and OCO-2 M. Sheng et al. https://doi.org/10.3390/rs13173524
53. Spatial distributions of XCO2 seasonal cycle amplitude and phase over northern high-latitude regions N. Jacobs et al. https://doi.org/10.5194/acp-21-16661-2021
54. Spatiotemporal Investigation of Near-Surface CO2 and Its Affecting Factors Over Asia F. Mustafa et al. https://doi.org/10.1109/TGRS.2022.3178125
55. Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm T. Taylor et al. https://doi.org/10.5194/amt-16-3173-2023
56. Evaluating Global Atmospheric Inversions of Terrestrial Net Ecosystem Exchange CO2 Over North America on Seasonal and Sub‐Continental Scales Y. Cui et al. https://doi.org/10.1029/2022GL100147
57. Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals W. He et al. https://doi.org/10.1029/2022JD037773
58. Spatio-temporal modeling of satellite-observed CO2 columns in China using deep learning Z. He et al. https://doi.org/10.1016/j.jag.2024.103859
59. A Review of Anthropogenic Ground-Level Carbon Emissions Based on Satellite Data K. Hu et al. https://doi.org/10.1109/JSTARS.2024.3355549
60. Investigation of spaceborne trace gas products over St Petersburg and Yekaterinburg, Russia, by using COllaborative Column Carbon Observing Network (COCCON) observations C. Alberti et al. https://doi.org/10.5194/amt-15-2199-2022
61. Long-term column-averaged greenhouse gas observations using a COCCON spectrometer at the high-surface-albedo site in Gobabeb, Namibia M. Frey et al. https://doi.org/10.5194/amt-14-5887-2021
62. Global monthly 0.1° land XCO2 data (2017–2024) estimated via multi-source fusion and spatiotemporal pattern integration H. Yu et al. https://doi.org/10.1088/2752-5295/ae6887
63. Global 20-year time series of XCO2 concentrations derived from satellite observations and interpolations to analyze XCO2 anomalies caused by wildfires W. Wefers et al. https://doi.org/10.1016/j.atmosres.2025.108408
64. Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations T. Zheng et al. https://doi.org/10.1088/1748-9326/ab25ae
65. 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. https://doi.org/10.5194/acp-21-14385-2021
66. Tracking CO2 emission reductions from space: A case study at Europe’s largest fossil fuel power plant R. Nassar et al. https://doi.org/10.3389/frsen.2022.1028240
67. Regional impacts of COVID-19 on carbon dioxide detected worldwide from space B. Weir et al. https://doi.org/10.1126/sciadv.abf9415
68. Quantifying urban fossil fuel CO2 emissions through OCO-2 XCO2 analysis: Impacts of satellite overpass geometry and prior inventory selection A. Liang et al. https://doi.org/10.1016/j.jag.2026.105366
69. OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals T. Taylor et al. https://doi.org/10.1016/j.rse.2020.112032
70. Carbon Monitoring System Flux Net Biosphere Exchange 2020 (CMS-Flux NBE 2020) J. Liu et al. https://doi.org/10.5194/essd-13-299-2021
71. Study on the Ground-Based FTS Measurements at Beijing, China and the Colocation Sensitivity of Satellite Data S. Yang et al. https://doi.org/10.3390/atmos12121586
72. Absorption coefficient (ABSCO) tables for the Orbiting Carbon Observatories: Version 5.1 V. Payne et al. https://doi.org/10.1016/j.jqsrt.2020.107217
73. Quality controls, bias, and seasonality of CO2 columns in the boreal forest with Orbiting Carbon Observatory-2, Total Carbon Column Observing Network, and EM27/SUN measurements N. Jacobs et al. https://doi.org/10.5194/amt-13-5033-2020
74. XCO2 estimates from the OCO-2 measurements using a neural network approach L. David et al. https://doi.org/10.5194/amt-14-117-2021
75. Monitoring of Atmospheric Carbon Dioxide over a Desert Site Using Airborne and Ground Measurements Q. Wang et al. https://doi.org/10.3390/rs14205224
76. Monitoring of Atmospheric Carbon Dioxide over Pakistan Using Satellite Dataset N. An et al. https://doi.org/10.3390/rs14225882
77. 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. https://doi.org/10.5194/essd-15-3597-2023
78. Spatial Distribution of Urban Anthropogenic Carbon Emissions Revealed from the OCO-3 Snapshot XCO2 Observations: A Case Study of Shanghai M. Jia et al. https://doi.org/10.3390/rs17061087
79. Towards monitoring localized CO2 emissions from space: co-located regional CO2 and NO2 enhancements observed by the OCO-2 and S5P satellites M. Reuter et al. https://doi.org/10.5194/acp-19-9371-2019
80. Multi-Year Comparison of CO2 Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia F. Mustafa et al. https://doi.org/10.3390/rs12152498
81. 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. https://doi.org/10.5194/acp-22-15817-2022
82. Improved Constraints on Northern Extratropical CO2 Fluxes Obtained by Combining Surface‐Based and Space‐Based Atmospheric CO2 Measurements B. Byrne et al. https://doi.org/10.1029/2019JD032029
83. Global land 1° mapping dataset of XCO2 from satellite observations of GOSAT and OCO-2 from 2009 to 2020 M. Sheng et al. https://doi.org/10.1080/20964471.2022.2033149
84. Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil L. da Costa et al. https://doi.org/10.1007/s10668-021-01677-6
85. Evaluating Anthropogenic CO2 Bottom-Up Emission Inventories Using Satellite Observations from GOSAT and OCO-2 S. Zhang et al. https://doi.org/10.3390/rs14195024
86. XCO2 retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm S. Noël et al. https://doi.org/10.5194/amt-14-3837-2021
87. Preliminary analysis of global column-averaged CO2 concentration data from the spaceborne aerosol and carbon dioxide detection lidar onboard AEMS C. Fan et al. https://doi.org/10.1364/OE.517736
88. Impact of net-zero emissions on atmospheric CO2 concentration in China: Ideal simulations based on the GEOS-Chem model J. Tan et al. https://doi.org/10.1007/s11430-024-1502-y
89. Impact of a Regional U.S. Drought on Land and Atmospheric Carbon E. Lee et al. https://doi.org/10.1029/2019JG005599
90. Multisensor and Multimodel Monitoring and Investigation of a Wintertime Air Pollution Event Ahead of a Cold Front Over Eastern China X. Hu et al. https://doi.org/10.1029/2020JD033538
91. The importance of digital elevation model accuracy in XCO2 retrievals: improving the Orbiting Carbon Observatory 2 Atmospheric Carbon Observations from Space version 11 retrieval product N. Jacobs et al. https://doi.org/10.5194/amt-17-1375-2024
92. An assessment of China's industrial emission characteristics using satellite observations of XCO2, SO2, and NO2 Y. Fu et al. https://doi.org/10.1016/j.apr.2022.101486
93. Novel application of a process convolution approach for calibrating output from numerical models M. Holthuijzen et al. https://doi.org/10.1002/env.2822
94. High‐resolution atmospheric CO2 concentration data simulated in WRF‐Chem over East Asia for 10 years M. Seo et al. https://doi.org/10.1002/gdj3.273
95. 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. https://doi.org/10.5194/acp-20-8473-2020
96. How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. https://doi.org/10.1029/2021RG000736
97. Total CO2 budget estimate and degassing dynamics for an active stratovolcano: Turrialba Volcano, Costa Rica K. Nelson et al. https://doi.org/10.1016/j.jvolgeores.2024.108075
98. On the potential of a neural-network-based approach for estimating XCO2 from OCO-2 measurements F. Bréon et al. https://doi.org/10.5194/amt-15-5219-2022
99. Impact of anthropogenic emission inventories on atmospheric CO2 concentrations simulated by GEOS-Chem W. Lu et al. https://doi.org/10.1016/j.atmosres.2025.108255
100. Analysis of the Current Situation of CO2 Satellite Observation Y. Li et al. https://doi.org/10.3390/rs17213635
101. Advances in quantifying power plant CO2 emissions with OCO-2 R. Nassar et al. https://doi.org/10.1016/j.rse.2021.112579
102. Study of Atmospheric Carbon Dioxide Retrieval Method Based on Normalized Sensitivity L. Zhao et al. https://doi.org/10.3390/rs14051106
103. Comparison of OCO-2 target observations to MUCCnet – is it possible to capture urban XCO2 gradients from space? M. Rißmann et al. https://doi.org/10.5194/amt-15-6605-2022
104. Exploring bias in the OCO-3 snapshot area mapping mode via geometry, surface, and aerosol effects E. Bell et al. https://doi.org/10.5194/amt-16-109-2023
105. Atmospheric Variations in Summertime Column Integrated CO2 on Synoptic Scales Over the U.S. Q. Wang et al. https://doi.org/10.1029/2021JD036256
106. Estimation and analysis of CO2 column concentrations (XCO2) in the Yangtze River Delta of China based on multi-source data and machine learning C. Chen et al. https://doi.org/10.1016/j.apr.2025.102528
107. Global estimates of gap-free and fine-scale CO2 concentrations during 2014–2020 from satellite and reanalysis data L. Zhang et al. https://doi.org/10.1016/j.envint.2023.108057
108. Seamless reconstruction and spatiotemporal analysis of satellite-based XCO2 incorporating temporal characteristics: A case study in China during 2015–2020 J. He et al. https://doi.org/10.1016/j.asr.2024.07.007
109. Estimating CO2 Emissions from Large Scale Coal-Fired Power Plants Using OCO-2 Observations and Emission Inventories Y. Hu & Y. Shi https://doi.org/10.3390/atmos12070811
110. The GeoCarb greenhouse gas retrieval algorithm: simulations and sensitivity to sources of uncertainty G. McGarragh et al. https://doi.org/10.5194/amt-17-1091-2024
111. Forward model emulator for atmospheric radiative transfer using Gaussian processes and cross validation O. Lamminpää et al. https://doi.org/10.5194/amt-18-673-2025
112. Satellite-detected large CO2 release in southwestern North America during the 2020–2021 drought and associated wildfires H. Chen et al. https://doi.org/10.1088/1748-9326/ad3cf7
113. Improving Satellite XCO₂ Measurements Accuracy: A Bayesian Bias Correction Approach Considering Spatiotemporal Bias Characteristics R. Li et al. https://doi.org/10.1109/TGRS.2024.3483776
114. Objective Frequentist Uncertainty Quantification for Atmospheric \(\mathrm{CO}_2\) Retrievals P. Patil et al. https://doi.org/10.1137/20M1356403
115. Functional analysis of variance (ANOVA) for carbon flux estimates from remote sensing data J. Hobbs et al. https://doi.org/10.5194/gmd-17-1133-2024
116. The 2015–2016 carbon cycle as seen from OCO-2 and the global in situ network S. Crowell et al. https://doi.org/10.5194/acp-19-9797-2019
117. A global surface CO2 flux dataset (2015–2022) inferred from OCO-2 retrievals using the GONGGA inversion system Z. Jin et al. https://doi.org/10.5194/essd-16-2857-2024
118. Ensemble-based satellite-derived carbon dioxide and methane column-averaged dry-air mole fraction data sets (2003–2018) for carbon and climate applications M. Reuter et al. https://doi.org/10.5194/amt-13-789-2020
119. Retrieval of atmospheric CO2 vertical profiles from ground-based near-infrared spectra S. Roche et al. https://doi.org/10.5194/amt-14-3087-2021
120. National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the global stocktake B. Byrne et al. https://doi.org/10.5194/essd-15-963-2023
121. OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO2 Fluxes Over South Asia S. Philip et al. https://doi.org/10.1029/2021JD035035
122. Observing carbon dioxide emissions over China's cities and industrial areas with the Orbiting Carbon Observatory-2 B. Zheng et al. https://doi.org/10.5194/acp-20-8501-2020