234 citations as recorded by crossref.

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2. CO2 annual and semiannual cycles from multiple satellite retrievals and models X. Jiang et al. 10.1002/2014EA000045
3. CO2 emission of Indonesian fires in 2015 estimated from satellite‐derived atmospheric CO2 concentrations J. Heymann et al. 10.1002/2016GL072042
4. Spatio-temporal approach to moving window block kriging of satellite data v1.0 J. Tadić et al. 10.5194/gmd-10-709-2017
5. Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurements L. Wu et al. 10.5194/amt-11-3111-2018
6. Multi-source forcing effects analysis using Liang–Kleeman information flow method and the community atmosphere model (CAM4.0) S. Jiang et al. 10.1007/s00382-019-04914-x
7. Global and Brazilian Carbon Response to El Niño Modoki 2011–2010 K. Bowman et al. 10.1002/2016EA000204
8. Constraining the vertical distribution of coastal dust aerosol using OCO-2 O2 A-band measurements Z. Zeng et al. 10.1016/j.rse.2019.111494
9. 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
10. Airborne Laser Absorption Spectrometer Measurements of Atmospheric CO2 Column Mole Fractions: Source and Sink Detection and Environmental Impacts on Retrievals R. Menzies et al. 10.1175/JTECH-D-13-00128.1
11. Modeling the diurnal variability of respiratory fluxes in the Canadian Terrestrial Ecosystem Model (CTEM) B. Badawy et al. 10.1002/2015MS000540
12. Atmospheric CO_2 column measurements in cloudy conditions using intensity-modulated continuous-wave lidar at 157 micron B. Lin et al. 10.1364/OE.23.00A582
13. Estimating regional methane surface fluxes: the relative importance of surface and GOSAT mole fraction measurements A. Fraser et al. 10.5194/acp-13-5697-2013
14. 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
15. 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
16. Research on Calculation Method of On-Orbit Instrumental Line Shape Function for the Greenhouse Gases Monitoring Instrument on the GaoFen-5B Satellite Y. Han et al. 10.3390/rs16122171
17. Inverse Modeling of CO₂ Fluxes Using GOSAT Data and Multi-Year Ground-Based Observations T. Saeki et al. 10.2151/sola.2013-011
18. Fast retrieval of XCO2 over east Asia based on Orbiting Carbon Observatory-2 (OCO-2) spectral measurements F. Xie et al. 10.5194/amt-17-3949-2024
19. Super-resolution reconstruction of GOSAT CO 2 products using bicubic interpolation R. Xiang et al. 10.1080/10106049.2022.2096699
20. Constraining regional greenhouse gas emissions using geostationary concentration measurements: a theoretical study P. Rayner et al. 10.5194/amt-7-3285-2014
21. Mapping contiguous XCO2 by machine learning and analyzing the spatio-temporal variation in China from 2003 to 2019 M. Zhang & G. Liu 10.1016/j.scitotenv.2022.159588
22. A model for urban biogenic CO2 fluxes: Solar-Induced Fluorescence for Modeling Urban biogenic Fluxes (SMUrF v1) D. Wu et al. 10.5194/gmd-14-3633-2021
23. Using Dimers to Measure Biosignatures and Atmospheric Pressure for Terrestrial Exoplanets A. Misra et al. 10.1089/ast.2013.0990
24. Temporal and Spatial Patterns of XCO2 and SIF as Observed by OCO-2: A Case Study in the Midwest Region of Brazil G. de Araújo Santos et al. 10.1007/s12524-024-01995-y
25. 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
26. A singular value decomposition framework for retrievals with vertical distribution information from greenhouse gas column absorption spectroscopy measurements A. Ramanathan et al. 10.5194/amt-11-4909-2018
27. Evaluation of Spatio-Temporal Variogram Models for Mapping Xco2Using Satellite Observations: A Case Study in China L. Guo et al. 10.1109/JSTARS.2014.2363019
28. Evaluation and attribution of OCO-2 XCO<sub>2</sub> uncertainties J. Worden et al. 10.5194/amt-10-2759-2017
29. Water Stress Dominates 21st‐Century Tropical Land Carbon Uptake P. Levine et al. 10.1029/2023GB007702
30. Retrieving XCO2 from GOSAT FTS over East Asia Using Simultaneous Aerosol Information from CAI W. Kim et al. 10.3390/rs8120994
31. Consistent satellite XCO<sub>2</sub> retrievals from SCIAMACHY and GOSAT using the BESD algorithm J. Heymann et al. 10.5194/amt-8-2961-2015
32. Statistical bias and variance for the regularized inverse problem: Application to space‐based atmospheric CO2 retrievals N. Cressie et al. 10.1002/2015JD024353
33. Comparing simulated atmospheric carbon dioxide concentration with GOSAT retrievals H. Zhang et al. 10.1007/s11434-014-0676-9
34. Retrievals of tropospheric ozone profiles from the synergism of AIRS and OMI: methodology and validation D. Fu et al. 10.5194/amt-11-5587-2018
35. 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
36. An empirical model for estimating daily atmospheric column-averaged CO2 concentration above São Paulo state, Brazil L. da Costa et al. 10.1186/s13021-022-00209-7
37. 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
38. Toward anthropogenic combustion emission constraints from space‐based analysis of urban CO2/CO sensitivity S. Silva et al. 10.1002/grl.50954
39. Quantifying the model structural error in carbon cycle data assimilation systems S. Kuppel et al. 10.5194/gmd-6-45-2013
40. Performance of a geostationary mission, geoCARB, to measure CO<sub>2</sub>, CH<sub>4</sub> and CO column-averaged concentrations I. Polonsky et al. 10.5194/amt-7-959-2014
41. The Wintertime Covariation of CO2 and Criteria Pollutants in an Urban Valley of the Western United States R. Bares et al. 10.1002/2017JD027917
42. 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
43. 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
44. 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
45. 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. 10.5194/amt-14-7277-2021
46. Impact of Aerosol Property on the Accuracy of a CO2 Retrieval Algorithm from Satellite Remote Sensing Y. Jung et al. 10.3390/rs8040322
47. Emissions and topographic effects on column CO2 () variations, with a focus on the Southern California Megacity J. Hedelius et al. 10.1002/2017JD026455
48. OCO-2 Solar-Induced Chlorophyll Fluorescence Variability across Ecoregions of the Amazon Basin and the Extreme Drought Effects of El Niño (2015–2016) A. Castro et al. 10.3390/rs12071202
49. Spaceborne detection of XCO2 enhancement induced by Australian mega-bushfires J. Wang et al. 10.1088/1748-9326/abc846
50. 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
51. Mapping of satellite Earth observations using moving window block kriging J. Tadić et al. 10.5194/gmd-8-3311-2015
52. Water vapor isotopologue retrievals from high-resolution GOSAT shortwave infrared spectra C. Frankenberg et al. 10.5194/amt-6-263-2013
53. Validation of OCO-2 error analysis using simulated retrievals S. Kulawik et al. 10.5194/amt-12-5317-2019
54. La surveillance des émissions anthropiques de CO2 depuis l’espace : un enjeu géopolitique émergent G. Broquet & F. Chevallier 10.4000/12de3
55. Evaluating GPP and Respiration Estimates Over Northern Midlatitude Ecosystems Using Solar‐Induced Fluorescence and Atmospheric CO2 Measurements B. Byrne et al. 10.1029/2018JG004472
56. Retrieved XCO2 Accuracy Improvement by Reducing Aerosol-Induced Bias for China’s Future High-Precision Greenhouse Gases Monitoring Satellite Mission J. Ke et al. 10.3390/atmos13091384
57. 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
58. 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
59. Carbon Dioxide Retrieval from TanSat Observations and Validation with TCCON Measurements S. Wang et al. 10.3390/rs12142204
60. Long-Term Vicarious Calibration of GOSAT Short-Wave Sensors: Techniques for Error Reduction and New Estimates of Radiometric Degradation Factors A. Kuze et al. 10.1109/TGRS.2013.2278696
61. Evaluation of the operational Aerosol Layer Height retrieval algorithm for Sentinel-5 Precursor: application to O<sub>2</sub> A band observations from GOME-2A A. Sanders et al. 10.5194/amt-8-4947-2015
62. Measurements of Atmospheric CO2Column in Cloudy Weather Conditions using An IM-CW Lidar at 1.57 Micron B. Lin et al. 10.1051/epjconf/201611903002
63. Validation of TANSO-FTS/GOSAT XCO<sub>2</sub> and XCH<sub>4</sub> glint mode retrievals using TCCON data from near-ocean sites M. Zhou et al. 10.5194/amt-9-1415-2016
64. The Cross-Calibration of Spectral Radiances and Cross-Validation of CO2 Estimates from GOSAT and OCO-2 F. Kataoka et al. 10.3390/rs9111158
65. Spatiotemporal Investigation of Near-Surface CO2 and Its Affecting Factors Over Asia F. Mustafa et al. 10.1109/TGRS.2022.3178125
66. Semi-autonomous sounding selection for OCO-2 L. Mandrake et al. 10.5194/amt-6-2851-2013
67. Spatial distribution of atmospheric CO2 absorption detected around 2 µm on the reflectance spectra derived from Hyperion images B. Raychaudhuri 10.1080/01431161.2017.1295483
68. China's Terrestrial Carbon Sink Over 2010–2015 Constrained by Satellite Observations of Atmospheric CO2 and Land Surface Variables W. He et al. 10.1029/2021JG006644
69. Spatiotemporal Analysis of XCO2 and Its Relationship to Urban and Green Areas of China’s Major Southern Cities from Remote Sensing and WRF-Chem Modeling Data from 2010 to 2019 Z. Tan et al. 10.3390/geographies3020013
70. Quality controls, bias, and seasonality of CO<sub>2</sub> columns in the boreal forest with Orbiting Carbon Observatory-2, Total Carbon Column Observing Network, and EM27/SUN measurements N. Jacobs et al. 10.5194/amt-13-5033-2020
71. Characterizing Regional-Scale Combustion Using Satellite Retrievals of CO, NO2 and CO2 S. Silva & A. Arellano 10.3390/rs9070744
72. Simulated retrievals for the remote sensing of CO<sub>2</sub>, CH<sub>4</sub>, CO, and H<sub>2</sub>O from geostationary orbit X. Xi et al. 10.5194/amt-8-4817-2015
73. A comparison of satellite observations with the XCO 2 surface obtained by fusing TCCON measurements and GEOS-Chem model outputs L. Zhang et al. 10.1016/j.scitotenv.2017.06.018
74. 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. 10.3390/rs12152498
75. Hot spots and anomalies of CO2 over eastern Amazonia, Brazil: A time series from 2015 to 2018 G. Santos et al. 10.1016/j.envres.2022.114379
76. A numerical testbed for remote sensing of aerosols, and its demonstration for evaluating retrieval synergy from a geostationary satellite constellation of GEO-CAPE and GOES-R J. Wang et al. 10.1016/j.jqsrt.2014.03.020
77. Simulations of column-averaged CO<sub>2</sub> and CH<sub>4</sub> using the NIES TM with a hybrid sigma-isentropic (σ-θ) vertical coordinate D. Belikov et al. 10.5194/acp-13-1713-2013
78. High-Resolution Geos-Chem Model for Indian Monsoon Region: Seasonal Cycle and Budget of Tropospheric Co2 S. Allahudheen et al. 10.2139/ssrn.4161842
79. Estimating bias in the OCO-2 retrieval algorithm caused by 3-D radiation scattering from unresolved boundary layer clouds A. Merrelli et al. 10.5194/amt-8-1641-2015
80. A nonlinear data-driven approach to bias correction of XCO2 for NASA's OCO-2 ACOS version 10 W. Keely et al. 10.5194/amt-16-5725-2023
81. Carbon dioxide spatial variability and dynamics for contrasting land uses in central Brazil agricultural frontier from remote sensing data F. Rossi et al. 10.1016/j.jsames.2022.103809
82. Line parameters including temperature dependences of air- and self-broadened line shapes of 12C16O2: 2.06-μm region D. Benner et al. 10.1016/j.jms.2016.02.012
83. Retrieval and Validation of XCO2 from TanSat Target Mode Observations in Beijing Z. Bao et al. 10.3390/rs12183063
84. Regional CO emission estimated from ground-based remote sensing at Hefei site, China C. Shan et al. 10.1016/j.atmosres.2019.02.005
85. Global Atmospheric CO2 Concentrations Simulated by GEOS-Chem: Comparison with GOSAT, Carbon Tracker and Ground-Based Measurements Y. Jing et al. 10.3390/atmos9050175
86. Level 1 algorithms for TANSO on GOSAT: processing and on-orbit calibrations A. Kuze et al. 10.5194/amt-5-2447-2012
87. Global height-resolved methane retrievals from the Infrared Atmospheric Sounding Interferometer (IASI) on MetOp R. Siddans et al. 10.5194/amt-10-4135-2017
88. Consistent evaluation of ACOS-GOSAT, BESD-SCIAMACHY, CarbonTracker, and MACC through comparisons to TCCON S. Kulawik et al. 10.5194/amt-9-683-2016
89. A joint effort to deliver satellite retrieved atmospheric CO<sub>2</sub> concentrations for surface flux inversions: the ensemble median algorithm EMMA M. Reuter et al. 10.5194/acp-13-1771-2013
90. 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
91. 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
92. 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
93. Modelling of XCO2 Surfaces Based on Flight Tests of TanSat Instruments L. Zhang et al. 10.3390/s16111818
94. Figures of merit for simultaneous inference and comparisons in simulation experiments N. Cressie & S. Burden 10.1002/sta4.88
95. Space- and ground-based CO2 measurements: A review T. Yue et al. 10.1007/s11430-015-0239-7
96. Identification of Bias in Satellite Measurements Using its Geospatial Properties J. Tadic & S. Biraud 10.1109/LGRS.2020.3015174
97. Carbon Monitoring System Flux Net Biosphere Exchange 2020 (CMS-Flux NBE 2020) J. Liu et al. 10.5194/essd-13-299-2021
98. Earth’s Climate History from 4.5 Billion Years to One Minute J. Lin & T. Qian 10.1080/07055900.2022.2082914
99. The Greenhouse Gas Climate Change Initiative (GHG-CCI): Comparison and quality assessment of near-surface-sensitive satellite-derived CO2 and CH4 global data sets M. Buchwitz et al. 10.1016/j.rse.2013.04.024
100. Toward High Precision XCO2Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements D. Yang et al. 10.1029/2020JD032794
101. Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil L. da Costa et al. 10.1007/s10668-021-01677-6
102. Carbon Monitoring Satellite (CarbonSat): assessment of atmospheric CO<sub>2</sub> and CH<sub>4</sub> retrieval errors by error parameterization M. Buchwitz et al. 10.5194/amt-6-3477-2013
103. Calibration, Level 1 Processing, and Radiometric Validation for TANSO-FTS TIR on GOSAT F. Kataoka et al. 10.1109/TGRS.2018.2885162
104. Satellite derived trends and variability of CO2 concentrations in the Middle East during 2014–2023 R. Fonseca & D. Francis 10.3389/fenvs.2023.1289142
105. Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm C. O'Dell et al. 10.5194/amt-11-6539-2018
106. Evaluating Anthropogenic CO2 Bottom-Up Emission Inventories Using Satellite Observations from GOSAT and OCO-2 S. Zhang et al. 10.3390/rs14195024
107. Combining XCO2 Measurements Derived from SCIAMACHY and GOSAT for Potentially Generating Global CO2 Maps with High Spatiotemporal Resolution T. Wang et al. 10.1371/journal.pone.0105050
108. Exploring correlation between OCO-2 XCO2 and DMSP/OLS nightlight imagery signature in four selected locations in India A. Matloob et al. 10.1007/s41324-021-00381-x
109. Impact of Amazonian Fires on Atmospheric CO2 X. Jiang et al. 10.1029/2020GL091875
110. Aerosols in OCO-2/GOSAT retrievals of XCO2: An information content and error analysis S. Sanghavi et al. 10.1016/j.rse.2020.112053
111. Note on rotational-Raman scattering in the O<sub>2</sub> A- and B-bands A. Vasilkov et al. 10.5194/amt-6-981-2013
112. Congo Basin Rainforest Is a Net Carbon Source During the Dry Season X. Jiang et al. 10.1029/2022EA002644
113. Aerosol scattering effects on water vapor retrievals over the Los Angeles Basin Z. Zeng et al. 10.5194/acp-17-2495-2017
114. Tropospheric aerosol profile information from high-resolution oxygen A-band measurements from space A. Geddes & H. Bösch 10.5194/amt-8-859-2015
115. Study of mid-latitude retrieval XCO2 greenhouse gas: Validation of satellite-based shortwave infrared spectroscopy with ground-based TCCON observations S. Karbasi et al. 10.1016/j.scitotenv.2022.155513
116. Mapping CH<sub>4</sub> : CO<sub>2</sub> ratios in Los Angeles with CLARS-FTS from Mount Wilson, California K. Wong et al. 10.5194/acp-15-241-2015
117. Line parameters including temperature dependences of self- and air-broadened line shapes of 12C16O2: 1.6-μm region V. Devi et al. 10.1016/j.jqsrt.2015.12.020
118. On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases E. Malina et al. 10.5194/amt-15-2377-2022
119. Variability of fire carbon emissions in equatorial Asia and its nonlinear sensitivity to El Niño Y. Yin et al. 10.1002/2016GL070971
120. 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
121. Refining Spatial and Temporal XCO2 Characteristics Observed by Orbiting Carbon Observatory-2 and Orbiting Carbon Observatory-3 Using Sentinel-5P Tropospheric Monitoring Instrument NO2 Observations in China K. Guo et al. 10.3390/rs16132456
122. On-Orbit Wavelength Calibration Error Analysis of the Spaceborne Hyperspectral Greenhouse Gas Monitoring Instrument Using the Solar Fraunhofer Lines Y. Guo et al. 10.3390/rs16183367
123. The covariation of Northern Hemisphere summertime CO<sub>2</sub> with surface temperature in boreal regions D. Wunch et al. 10.5194/acp-13-9447-2013
124. Improved Constraints on Northern Extratropical CO2 Fluxes Obtained by Combining Surface‐Based and Space‐Based Atmospheric CO2 Measurements B. Byrne et al. 10.1029/2019JD032029
125. Cropland Carbon Uptake Delayed and Reduced by 2019 Midwest Floods Y. Yin et al. 10.1029/2019AV000140
126. Comparison of Satellite-Observed XCO2 from GOSAT, OCO-2, and Ground-Based TCCON A. Liang et al. 10.3390/rs9101033
127. Spatio-Temporal Data Fusion for Very Large Remote Sensing Datasets H. Nguyen et al. 10.1080/00401706.2013.831774
128. High spatial resolution solar-induced chlorophyll fluorescence and its relation to rainfall precipitation across Brazilian ecosystems L. da Costa et al. 10.1016/j.envres.2022.114991
129. On the performance of satellite-based observations of <i>X</i>CO<sub>2</sub> in capturing the NOAA Carbon Tracker model and ground-based flask observations over Africa's land mass A. Mengistu & G. Mengistu Tsidu 10.5194/amt-13-4009-2020
130. 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. 10.1002/2014JD022411
131. The landscape of city‐level GHG emission accounts in Africa B. Liu et al. 10.1111/jiec.13562
132. 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
133. Intercomparison of Carbon Dioxide Products Retrieved from GOSAT Short-Wavelength Infrared Spectra for Three Years (2010–2012) A. Deng et al. 10.3390/atmos7090109
134. Evaluation of the methane full-physics retrieval applied to TROPOMI ocean sun glint measurements A. Lorente et al. 10.5194/amt-15-6585-2022
135. Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation K. Hu et al. 10.3390/rs16183394
136. 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
137. Effect of heterogeneous atmospheric CO2 on simulated global carbon budget Z. Zhang et al. 10.1016/j.gloplacha.2012.12.002
138. Evaluating high-resolution forecasts of atmospheric CO and CO<sub>2</sub> from a global prediction system during KORUS-AQ field campaign W. Tang et al. 10.5194/acp-18-11007-2018
139. Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO D. Wu et al. 10.5194/acp-22-14547-2022
140. Multispectral information from TANSO-FTS instrument – Part 1: Application to greenhouse gases (CO<sub>2</sub> and CH<sub>4</sub>) in clear sky conditions H. Herbin et al. 10.5194/amt-6-3301-2013
141. Quality Evaluation of the Column-Averaged Dry Air Mole Fractions of Carbon Dioxide and Methane Observed by GOSAT and GOSAT-2 Y. Yoshida et al. 10.2151/sola.2023-023
142. 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
143. Optimal Estimation Versus MCMC for $$\mathrm{{CO}}_{2}$$ CO 2 Retrievals J. Brynjarsdottir et al. 10.1007/s13253-018-0319-8
144. Characterization and correction of spectral distortions induced by microvibrations onboard the GOSAT Fourier transform spectrometer H. Suto et al. 10.1364/AO.52.004969
145. New approach to evaluate satellite-derived XCO2 over oceans by integrating ship and aircraft observations A. Müller et al. 10.5194/acp-21-8255-2021
146. Global land 1° mapping dataset of XCO2 from satellite observations of GOSAT and OCO-2 from 2009 to 2020 M. Sheng et al. 10.1080/20964471.2022.2033149
147. The result of the comparative use of OCO-2 information to find the relationship between changes in the atmospheric concentration of CO2 and air temperature in the Argentine Islands and Ukraine. I. Artemenko 10.36023/ujrs.2021.8.4.204
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150. An Efficient Algorithm for Retrieving CO2 in the Atmosphere From Hyperspectral Measurements of Satellites: Application of NLS-4DVar Data Assimilation Method Z. Jin et al. 10.3389/feart.2021.688542
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152. 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
153. Systematics of atmospheric environment monitoring in China via satellite remote sensing Z. Wang et al. 10.1007/s11869-020-00922-7
154. 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
155. Identifying local anthropogenic CO2 emissions with satellite retrievals: a case study in South Korea C. Shim et al. 10.1080/01431161.2018.1523585
156. Influence of El Niño on atmospheric CO 2 over the tropical Pacific Ocean: Findings from NASA’s OCO-2 mission A. Chatterjee et al. 10.1126/science.aam5776
157. 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
158. Mission CO2ntrol: A Statistical Scientist's Role in Remote Sensing of Atmospheric Carbon Dioxide N. Cressie 10.1080/01621459.2017.1419136
159. Exploring CO2 anomalies in Brazilian biomes combining OCO-2 & 3 data: Linkages to wildfires patterns L. da Costa et al. 10.1016/j.asr.2024.01.016
160. The decline in tropical land carbon sink drove high atmospheric CO2 growth rate in 2023 Y. Gui et al. 10.1093/nsr/nwae365
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163. The Total Carbon Column Observing Network site description for Lauder, New Zealand D. Pollard et al. 10.5194/essd-9-977-2017
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