429 citations as recorded by crossref.

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4. A Top-Down Method for Estimating Regional Fossil Fuel Carbon Emissions Based on Satellite XCO2 Retrievals L. Zhang et al. https://doi.org/10.3390/rs17030447
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8. Fiducial Reference Measurements for Greenhouse Gases (FRM4GHG): Validation of Satellite (Sentinel-5 Precursor, OCO-2, and GOSAT) Missions Using the COllaborative Carbon Column Observing Network (COCCON) M. Sha et al. https://doi.org/10.3390/rs17050734
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11. Real-time monitoring of daily carbon emissions and electricity generation from fossil fuel power plants using geostationary satellite band data and deep learning techniques H. Mo et al. https://doi.org/10.1016/j.energy.2025.137570
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16. 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
17. Regional CO2 flux estimates for 2009–2010 based on GOSAT and ground-based CO2 observations S. Maksyutov et al. https://doi.org/10.5194/acp-13-9351-2013
18. Quantification of uncertainties in OCO-2 measurements of XCO2: simulations and linear error analysis B. Connor et al. https://doi.org/10.5194/amt-9-5227-2016
19. The rising impact of urbanization-caused CO2 emissions on terrestrial vegetation S. Yang et al. https://doi.org/10.1016/j.ecolind.2023.110079
20. Optimal Estimation Versus MCMC for $$\mathrm{{CO}}_{2}$$ CO 2 Retrievals J. Brynjarsdottir et al. https://doi.org/10.1007/s13253-018-0319-8
21. Isolating Cabannes and rotational Raman scattering to determine forward modeling error due to Rayleigh scattering in the Earth’s atmosphere S. Sanghavi https://doi.org/10.1016/j.jqsrt.2026.110077
22. 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
23. Sensitivity of Optimal Estimation Satellite Retrievals to Misspecification of the Prior Mean and Covariance, with Application to OCO-2 Retrievals H. Nguyen et al. https://doi.org/10.3390/rs11232770
24. Anthropogenic CO2 emissions assessment of Nile Delta using XCO2 and SIF data from OCO-2 satellite A. Shekhar et al. https://doi.org/10.1088/1748-9326/ab9cfe
25. Greenhouse gas column observations from a portable spectrometer in Uganda N. Humpage et al. https://doi.org/10.5194/amt-17-5679-2024
26. The status and development proposal of carbon sources and sinks monitoring satellite system G. Meng et al. https://doi.org/10.1007/s43979-022-00033-5
27. Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. https://doi.org/10.1029/2019JD030528
28. Carbon Monitoring Satellite (CarbonSat): assessment of atmospheric CO2 and CH4 retrieval errors by error parameterization M. Buchwitz et al. https://doi.org/10.5194/amt-6-3477-2013
29. Intercomparison of Carbon Dioxide Products Retrieved from GOSAT Short-Wavelength Infrared Spectra for Three Years (2010–2012) A. Deng et al. https://doi.org/10.3390/atmos7090109
30. 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
31. A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering—Part 2: Application to XCO2 Retrievals from OCO-2 M. Reuter et al. https://doi.org/10.3390/rs9111102
32. Observation of greenhouse gas vertical profiles in the boundary layer of the Mount Qomolangma region using a multirotor UAV Y. Zhou et al. https://doi.org/10.5194/amt-18-1609-2025
33. Accelerated MCMC for Satellite-Based Measurements of Atmospheric CO2 O. Lamminpää et al. https://doi.org/10.3390/rs11172061
34. Comparing sources of uncertainty in community greenhouse gas estimation techniques M. Blackhurst & H. Matthews https://doi.org/10.1088/1748-9326/ac6084
35. Monitoring of Atmospheric Carbon Dioxide over Pakistan Using Satellite Dataset N. An et al. https://doi.org/10.3390/rs14225882
36. Effects of spectral sampling rate and range of CO2 absorption bands on XCO2 retrieval from TanSat hyperspectral spectrometer Y. Liu et al. https://doi.org/10.1007/s11434-014-0215-8
37. Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2 J. Joiner et al. https://doi.org/10.5194/amt-6-2803-2013
38. Analysis of XCO2 retrieval sensitivity using simulated Chinese Carbon Satellite (TanSat) measurements Z. Cai et al. https://doi.org/10.1007/s11430-013-4707-1
39. APPLICATION OF MACHINE LEARNING IN RADIATIVE HEAT TRANSFER W. Chen & T. Ren https://doi.org/10.1615/AnnualRevHeatTransfer.2025059506
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42. 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
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45. Optimization of the OCO-2 Cloud Screening Algorithm and Evaluation against MODIS and TCCON Measurements over Land Surfaces in Europe and Japan S. Chen et al. https://doi.org/10.1007/s00376-020-9160-4
46. Assessing the magnitude of CO2 flux uncertainty in atmospheric CO2 records using products from NASA's Carbon Monitoring Flux Pilot Project L. Ott et al. https://doi.org/10.1002/2014JD022411
47. Uncertainty and retrieval sensitivity in TROPOMI-based methane inversions over the North Slope of Alaska R. Ward et al. https://doi.org/10.5194/amt-19-813-2026
48. Global mapping of greenhouse gases retrieved from GOSAT Level 2 products by using a kriging method H. Watanabe et al. https://doi.org/10.1080/01431161.2015.1011792
49. Monitoring of Atmospheric Carbon Dioxide over a Desert Site Using Airborne and Ground Measurements Q. Wang et al. https://doi.org/10.3390/rs14205224
50. Assessing the capability of different satellite observing configurations to resolve the distribution of methane emissions at kilometer scales A. Turner et al. https://doi.org/10.5194/acp-18-8265-2018
51. Global Evaluation and Intercomparison of XCO2 Retrievals from GOSAT, OCO-2, and TANSAT with TCCON J. Fang et al. https://doi.org/10.3390/rs15205073
52. Objective Frequentist Uncertainty Quantification for Atmospheric \(\mathrm{CO}_2\) Retrievals P. Patil et al. https://doi.org/10.1137/20M1356403
53. Retrieval and Validation of XCO2 from TanSat Target Mode Observations in Beijing Z. Bao et al. https://doi.org/10.3390/rs12183063
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55. Multivariate Spatial Data Fusion for Very Large Remote Sensing Datasets H. Nguyen et al. https://doi.org/10.3390/rs9020142
56. Retrieved wind speed from the Orbiting Carbon Observatory-2 R. Nelson et al. https://doi.org/10.5194/amt-13-6889-2020
57. Retrieval of MetOp-A/IASI CO profiles and validation with MOZAIC data E. De Wachter et al. https://doi.org/10.5194/amt-5-2843-2012
58. CH4 retrieval from hyperspectral satellite measurements in short-wave infrared: sensitivity study and preliminary test with GOSAT data J. Deng et al. https://doi.org/10.1007/s11434-014-0245-2
59. Profiling tropospheric CO2 using Aura TES and TCCON instruments L. Kuai et al. https://doi.org/10.5194/amt-6-63-2013
60. The Orbiting Carbon Observatory-2: first 18 months of science data products A. Eldering et al. https://doi.org/10.5194/amt-10-549-2017
61. Global consistency check of AIRS and IASI total CO2 column concentrations using WDCGG ground-based measurements A. Diao et al. https://doi.org/10.1007/s11707-016-0573-4
62. The greenhouse gas observation mission with Global Observing SATellite for Greenhouse gases and Water cycle (GOSAT-GW): objectives, conceptual framework and scientific contributions H. Tanimoto et al. https://doi.org/10.1186/s40645-025-00684-9
63. Retrieved XCO2 Accuracy Improvement by Reducing Aerosol-Induced Bias for China’s Future High-Precision Greenhouse Gases Monitoring Satellite Mission J. Ke et al. https://doi.org/10.3390/atmos13091384
64. A segmentation algorithm for characterizing rise and fall segments in seasonal cycles: an application to XCO2 to estimate benchmarks and assess model bias L. Calle et al. https://doi.org/10.5194/amt-12-2611-2019
65. Estimates of North African Methane Emissions from 2010 to 2017 Using GOSAT Observations L. Western et al. https://doi.org/10.1021/acs.estlett.1c00327
66. 基于国产碳卫星的在轨光谱性能评估及大气二氧化碳的高精度反演（特邀） 洪. Hong Xinhua et al. https://doi.org/10.3788/AOS241153
67. GFIT3: a full physics retrieval algorithm for remote sensing of greenhouse gases in the presence of aerosols Z. Zeng et al. https://doi.org/10.5194/amt-14-6483-2021
68. Improved latitudinal carbon budgets from global airborne surveys B. Stephens et al. https://doi.org/10.1073/pnas.2523984123
69. The on-orbit performance of the Orbiting Carbon Observatory-2 (OCO-2) instrument and its radiometrically calibrated products D. Crisp et al. https://doi.org/10.5194/amt-10-59-2017
70. Tracking the atmospheric pulse of a North American megacity from a mountaintop remote sensing observatory Z. Zeng et al. https://doi.org/10.1016/j.rse.2020.112000
71. Assessments of the Above-Ocean Atmospheric CO2 Detection Capability of the GAS Instrument Onboard the Next-Generation FengYun-3H Satellite S. Chen et al. https://doi.org/10.3390/rs14236032
72. Satellite-inferred European carbon sink larger than expected M. Reuter et al. https://doi.org/10.5194/acp-14-13739-2014
73. 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
74. Fast CO2 Retrieval Using a Semi-Physical Statistical Model for the High-Resolution Spectrometer on the Fengyun-3D Satellite Y. Bi et al. https://doi.org/10.1007/s13351-022-1149-8
75. Evaluation and Verification of Different Characterization Methods of Echo Signal for the AEMS/ACDL J. Ai et al. https://doi.org/10.1109/TGRS.2026.3673094
76. 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
77. Examining partial-column density retrieval of lower-tropospheric CO2 from GOSAT target observations over global megacities A. Kuze et al. https://doi.org/10.1016/j.rse.2022.112966
78. Generating seamless hourly XCO2 maps over Asia: A CatBoost modeling approach integrating FY-4A GIIRS and OCO-2/3 (2021-2022) S. Borjigen et al. https://doi.org/10.1016/j.jclepro.2026.148493
79. The Greenhouse gas Observations of Biospheric and Local Emissions from the Upper sky (GOBLEU): a mission overview, instrument description, and results from the first flight H. Suto et al. https://doi.org/10.1186/s13021-024-00273-1
80. The Orbiting Carbon Observatory-2 early science investigations of regional carbon dioxide fluxes A. Eldering et al. https://doi.org/10.1126/science.aam5745
81. Evaluation and analysis of on-orbit performance of GF-5B GMI Y. Li et al. https://doi.org/10.1080/01431161.2026.2697505
82. Retrieving XCO2 from GOSAT FTS over East Asia Using Simultaneous Aerosol Information from CAI W. Kim et al. https://doi.org/10.3390/rs8120994
83. Spatial Retrievals of Atmospheric Carbon Dioxide from Satellite Observations J. Hobbs et al. https://doi.org/10.3390/rs13040571
84. TanSat Mission Achievements: from Scientific Driving to Preliminary Observations Y. LIU et al. https://doi.org/10.11728/cjss2018.05.627
85. CMAQ simulation of atmospheric CO2 concentration in East Asia: Comparison with GOSAT observations and ground measurements R. Li et al. https://doi.org/10.1016/j.atmosenv.2017.03.056
86. Identifying local anthropogenic CO2 emissions with satellite retrievals: a case study in South Korea C. Shim et al. https://doi.org/10.1080/01431161.2018.1523585
87. A method for colocating satellite XCO2 data to ground-based data and its application to ACOS-GOSAT and TCCON H. Nguyen et al. https://doi.org/10.5194/amt-7-2631-2014
88. The CHRONOS mission: capability for sub-hourly synoptic observations of carbon monoxide and methane to quantify emissions and transport of air pollution D. Edwards et al. https://doi.org/10.5194/amt-11-1061-2018
89. The OCO-3 mission: measurement objectives and expected performance based on 1 year of simulated data A. Eldering et al. https://doi.org/10.5194/amt-12-2341-2019
90. 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. https://doi.org/10.1360/N072022-0123
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92. Accurate mobile remote sensing of XCO2 and XCH4 latitudinal transects from aboard a research vessel F. Klappenbach et al. https://doi.org/10.5194/amt-8-5023-2015
93. Optimization of the Photon Path Length Probability Density Function-Simultaneous (PPDF-S) Method and Evaluation of CO2 Retrieval Performance Under Dense Aerosol Conditions C. Iwasaki et al. https://doi.org/10.3390/s19051262
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95. Airborne measurements of CO2 column concentrations made with a pulsed IPDA lidar using a multiple-wavelength-locked laser and HgCdTe APD detector J. Abshire et al. https://doi.org/10.5194/amt-11-2001-2018
96. Predominantly positive XCO2 anomalies in the Caatinga biome highlight carbon vulnerability L. Silva et al. https://doi.org/10.1038/s41598-026-37629-1
97. The Potential of the Geostationary Carbon Cycle Observatory (GeoCarb) to Provide Multi-scale Constraints on the Carbon Cycle in the Americas B. Moore III et al. https://doi.org/10.3389/fenvs.2018.00109
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99. Spatio-temporal statistical analysis of the carbon budget of the terrestrial ecosystem P. Vetter et al. https://doi.org/10.1007/s10260-015-0342-7
100. 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
101. 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
102. A Coupled BRDF CO2 Retrieval Method for the GF-5 GMI and Improvements in the Correction of Atmospheric Scattering H. Ye et al. https://doi.org/10.3390/rs14030488
103. Seasonal and Diurnal Variations in XCO2 Characteristics in China as Observed by OCO‐2/3 Satellites: Effects of Land Cover and Local Meteorology H. Zhao et al. https://doi.org/10.1029/2023JD038841
104. Analysis and Quantitative Assessment of the Impact of Radiometric Calibration Uncertainties on XCO₂ Detection Accuracy for the Greenhouse-Gas Absorption Spectrometer-2 (GAS-2) Y. Guo et al. https://doi.org/10.1109/ACCESS.2026.3661268
105. Investigation of the consistency of atmospheric CO2 retrievals from different space-based sensors: Intercomparison and spatiotemporal analysis T. Wang et al. https://doi.org/10.1007/s11434-013-5996-7
106. Correlation between paddy rice growth and satellite-observed methane column abundance does not imply causation Z. Zeng et al. https://doi.org/10.1038/s41467-021-21434-7
107. Validation Method for Spaceborne IPDA LIDAR ${{\mathrm{X}}_{\mathrm{C}{{\mathrm{O}}_2}}}$ Products via TCCON H. Zhang et al. https://doi.org/10.1109/JSTARS.2024.3418028
108. Influence of differences in current GOSATXCO2retrievals on surface flux estimation H. Takagi et al. https://doi.org/10.1002/2013GL059174
109. On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems? B. Byrne et al. https://doi.org/10.5194/acp-19-13017-2019
110. Remote sensing of near-infrared chlorophyll fluorescence from space in scattering atmospheres: implications for its retrieval and interferences with atmospheric CO2 retrievals C. Frankenberg et al. https://doi.org/10.5194/amt-5-2081-2012
111. 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
112. Comparison of XH2O Retrieved from GOSAT Short-Wavelength Infrared Spectra with Observations from the TCCON Network E. Dupuy et al. https://doi.org/10.3390/rs8050414
113. The Greenhouse Gas Climate Change Initiative (GHG-CCI): comparative validation of GHG-CCI SCIAMACHY/ENVISAT and TANSO-FTS/GOSAT CO2 and CH4 retrieval algorithm products with measurements from the TCCON B. Dils et al. https://doi.org/10.5194/amt-7-1723-2014
114. Retrieval of Carbon Dioxide Using Cross-Track Infrared Sounder (CrIS) on S-NPP X. Zhang et al. https://doi.org/10.3390/rs13061163
115. Effect of atmospheric conditions and VPRM parameters on high-resolution regional CO2 simulations over East Asia M. Seo et al. https://doi.org/10.1007/s00704-023-04663-2
116. Aerosol Retrieval Sensitivity and Error Analysis for the Cloud and Aerosol Polarimetric Imager on Board TanSat: The Effect of Multi-Angle Measurement X. Chen et al. https://doi.org/10.3390/rs9020183
117. Working towards confident spaceborne monitoring of carbon emissions from cities using Orbiting Carbon Observatory-2 L. Labzovskii et al. https://doi.org/10.1016/j.rse.2019.111359
118. Monitoring and modeling seasonally varying anthropogenic and biogenic CO2 over a large tropical metropolitan area R. Alberti et al. https://doi.org/10.5194/acp-25-9803-2025
119. Retrieval of solar-induced chlorophyll fluorescence (SIF) from satellite measurements: comparison of SIF between TanSat and OCO-2 L. Yao et al. https://doi.org/10.5194/amt-15-2125-2022
120. High-Coverage Reconstruction of XCO2 Using Multisource Satellite Remote Sensing Data in Beijing–Tianjin–Hebei Region W. Wang et al. https://doi.org/10.3390/ijerph191710853
121. Prior biosphere model impact on global terrestrial CO2 fluxes estimated from OCO-2 retrievals S. Philip et al. https://doi.org/10.5194/acp-19-13267-2019
122. Lower-tropospheric CO2 from near-infrared ACOS-GOSAT observations S. Kulawik et al. https://doi.org/10.5194/acp-17-5407-2017
123. Development of SHACS: Progress on Channel-1 Prototype Demonstrator I. Ikpaya & C. Underwood https://doi.org/10.1109/TGRS.2021.3116379
124. Improving Model-Based Carbon Dioxide Datasets Using Deep Learning and Satellite Observations F. Mustafa & M. Xu https://doi.org/10.1109/TGRS.2025.3556309
125. Calibration, Level 1 Processing, and Radiometric Validation for TANSO-FTS TIR on GOSAT F. Kataoka et al. https://doi.org/10.1109/TGRS.2018.2885162
126. XCO2 retrieval error over deserts near critical surface albedo Q. Zhang et al. https://doi.org/10.1002/2015EA000143
127. Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurements L. Wu et al. https://doi.org/10.5194/amt-11-3111-2018
128. In situ measurement of CO2 and CH4 from aircraft over northeast China and comparison with OCO-2 data X. Sun et al. https://doi.org/10.5194/amt-13-3595-2020
129. Remote sensing of angular scattering effect of aerosols in a North American megacity Z. Zeng et al. https://doi.org/10.1016/j.rse.2020.111760
130. Improving Forest Carbon Sink Accounting Using Integrated Satellite-Ground Observations, Machine Learning, and Ecological Process Modeling X. Hong et al. https://doi.org/10.1021/acs.est.6c03931
131. CO2 annual and semiannual cycles from multiple satellite retrievals and models X. Jiang et al. https://doi.org/10.1002/2014EA000045
132. Inverse Modeling of CO₂ Fluxes Using GOSAT Data and Multi-Year Ground-Based Observations T. Saeki et al. https://doi.org/10.2151/sola.2013-011
133. Comparison of atmospheric CO2 mole fractions and source–sink characteristics at four WMO/GAW stations in China S. Cheng et al. https://doi.org/10.1016/j.atmosenv.2018.03.010
134. Global and Brazilian Carbon Response to El Niño Modoki 2011–2010 K. Bowman et al. https://doi.org/10.1002/2016EA000204
135. Inducing Factors and Impacts of the October 2017 California Wildfires A. Li et al. https://doi.org/10.1029/2019EA000661
136. Widespread Decline in Vegetation Photosynthesis in Southeast Asia Due to the Prolonged Drought During the 2015/2016 El Niño X. Qian et al. https://doi.org/10.3390/rs11080910
137. Benefits of satellite XCO2 and newly proposed atmospheric CO2 observation network over India in constraining regional CO2 fluxes S. Halder et al. https://doi.org/10.1016/j.scitotenv.2021.151508
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142. Performance of a geostationary mission, geoCARB, to measure CO2, CH4 and CO column-averaged concentrations I. Polonsky et al. https://doi.org/10.5194/amt-7-959-2014
143. A global synthesis inversion analysis of recent variability in CO2 fluxes using GOSAT and in situ observations J. Wang et al. https://doi.org/10.5194/acp-18-11097-2018
144. Satellite Observations of the Tropical Terrestrial Carbon Balance and Interactions With the Water Cycle During the 21st Century J. Worden et al. https://doi.org/10.1029/2020RG000711
145. 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
146. Intelligent pointing increases the fraction of cloud-free CO2 and CH4 observations from space R. Nassar et al. https://doi.org/10.3389/frsen.2023.1233803
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