273 citations as recorded by crossref.

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13. 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
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15. 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
16. 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
17. Comment on “Contrasting carbon cycle responses of the tropical continents to the 2015–2016 El Niño” F. Chevallier 10.1126/science.aar5432
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19. Inducing Factors and Impacts of the October 2017 California Wildfires A. Li et al. 10.1029/2019EA000661
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21. A Method for Estimating the Background Column Concentration of CO2 Using the Lagrangian Approach Z. Pei et al. 10.1109/TGRS.2022.3176134
22. Emissions and topographic effects on column CO2 () variations, with a focus on the Southern California Megacity J. Hedelius et al. 10.1002/2017JD026455
23. 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
24. 基于地面与机载测量的青藏高原CO<sub>2</sub>与CH<sub>4</sub>浓度助力卫星数据验证初探 宜. 汪 & 向. 田 10.1360/N072025-0040
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27. Comparisons of OCO-2 satellite derived XCO2 with in situ and modeled data over global ocean S. Zhang et al. 10.1007/s13131-021-1844-9
28. 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. 10.3389/fenvs.2018.00109
29. Evaluation and attribution of OCO-2 XCO2 uncertainties J. Worden et al. 10.5194/amt-10-2759-2017
30. Insights into 3D cloud radiative transfer effects for the Orbiting Carbon Observatory S. Massie et al. 10.5194/amt-16-2145-2023
31. 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. 10.5194/amt-14-2141-2021
32. Temporal variability of atmospheric columnar CO2, CH4, CO and N2O concentrations using ground-based remote sensing FTIR Spectrometer M. Pathakoti et al. 10.1016/j.asr.2024.02.028
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34. Using OCO-2 Observations to Constrain Regional CO2 Fluxes Estimated with the Vegetation, Photosynthesis and Respiration Model I. Konovalov et al. 10.3390/rs17020177
35. Machine Learning Model-Based Estimation of XCO2 with High Spatiotemporal Resolution in China S. He et al. 10.3390/atmos14030436
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37. Analyzing nitrogen oxides to carbon dioxide emission ratios from space: A case study of Matimba Power Station in South Africa J. Hakkarainen et al. 10.1016/j.aeaoa.2021.100110
38. A comparison of carbon monoxide retrievals between the MOPITT satellite and Canadian high-Arctic ground-based NDACC and TCCON FTIR measurements A. Jalali et al. 10.5194/amt-15-6837-2022
39. Estimating enhancement ratios of nitrogen dioxide, carbon monoxide and carbon dioxide using satellite observations C. MacDonald et al. 10.5194/acp-23-3493-2023
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42. 大气CO2成像卫星遥感的点源排放分辨能力影响因素分析 李. Li Chao et al. 10.3788/AOS231336
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44. The Cross-Calibration of Spectral Radiances and Cross-Validation of CO2 Estimates from GOSAT and OCO-2 F. Kataoka et al. 10.3390/rs9111158
45. 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
46. Spatial Distribution of Urban Anthropogenic Carbon Emissions Revealed from the OCO-3 Snapshot XCO2 Observations: A Case Study of Shanghai M. Jia et al. 10.3390/rs17061087
47. Evaluation of light atmospheric plume inversion methods using synthetic XCO2 satellite images to compute Paris CO2 emissions A. Danjou et al. 10.1016/j.rse.2023.113900
48. Using OCO-2 Satellite Data for Investigating the Variability of Atmospheric CO2 Concentration in Relationship with Precipitation, Relative Humidity, and Vegetation over Oman F. Golkar et al. 10.3390/w12010101
49. Atmospheric Greenhouse Gas Distributions: Satellite-Based Measurements A. Uspensky 10.1134/S0001433823140141
50. 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
51. Estimation of daily XCO2 at 1 km resolution in China using a spatiotemporal ResNet model C. Wu et al. 10.1016/j.scitotenv.2024.176171
52. Exploring Urban XCO2 Patterns Using PRISMA Satellite: A Case Study in Shanghai Y. Wu et al. 10.3390/atmos15030246
53. 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
54. 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
55. Investigating the performance of a greenhouse gas observatory in Hefei, China W. Wang et al. 10.5194/amt-10-2627-2017
56. Urban−rural gradients reveal joint control of elevated CO2 and temperature on extended photosynthetic seasons S. Wang et al. 10.1038/s41559-019-0931-1
57. Assessing Greenhouse Gas Monitoring Capabilities Using SolAtmos End-to-End Simulator: Application to the Uvsq-Sat NG Mission C. Clavier et al. 10.3390/rs16081442
58. Gradients of column CO2 across North America from the NOAA Global Greenhouse Gas Reference Network X. Lan et al. 10.5194/acp-17-15151-2017
59. Spatial distributions of XCO2 seasonal cycle amplitude and phase over northern high-latitude regions N. Jacobs et al. 10.5194/acp-21-16661-2021
60. Quantification of CO2 Emissions from Three Power Plants in China Using OCO-3 Satellite Measurements Y. Yang et al. 10.1007/s00376-024-3293-9
61. Simulation and Performance Evaluation of Laser Heterodyne Spectrometer Based on CO2 Absorption Cell T. Xia et al. 10.3390/rs15030788
62. 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
63. A Proof of Concept for Estimating the Annual Atmospheric Carbon Dioxide Variation From Orbiting Carbon Observatory-3 vEarly Data B. Raychaudhuri & S. Roy 10.1109/LGRS.2021.3099172
64. Variation of XCO2 anomaly patterns in the Middle East from OCO-2 satellite data F. Golkar & S. Mousavi 10.1080/17538947.2022.2096936
65. Spatio-temporal variation of atmospheric CO2 and its association with anthropogenic, vegetation, and climate indices over the state of Bihar, India A. Dass et al. 10.1016/j.envadv.2024.100513
66. Monitoring of the Essential Climate Variables of the Atmosphere from Satellite-based Infrared Sounder IKFS-2 A. Uspensky et al. 10.3103/S1068373922110012
67. Validation of OCO-2 error analysis using simulated retrievals S. Kulawik et al. 10.5194/amt-12-5317-2019
68. Retrieval of Carbon Dioxide Using Cross-Track Infrared Sounder (CrIS) on S-NPP X. Zhang et al. 10.3390/rs13061163
69. Evaluating the inter-relationship between OCO-2 XCO2 and MODIS-LST in an Industrial Belt located at Western Bengaluru City of India A. Matloob et al. 10.1007/s41324-021-00396-4
70. 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
71. Fast CO2 Retrieval Using a Semi-Physical Statistical Model for the High-Resolution Spectrometer on the Fengyun-3D Satellite Y. Bi et al. 10.1007/s13351-022-1149-8
72. Multi-sensor integrated mapping of global XCO2 from 2015 to 2021 with a local random forest model J. Chen et al. 10.1016/j.isprsjprs.2024.01.009
73. Multiyear crop residue cover mapping using narrow-band vs. broad-band shortwave infrared satellite imagery B. Lamb et al. 10.1016/j.still.2025.106524
74. The Orbiting Carbon Observatory-2: first 18 months of science data products A. Eldering et al. 10.5194/amt-10-549-2017
75. Remote Sensing Monitoring and Analysis of Spatiotemporal Changes in China’s Anthropogenic Carbon Emissions Based on XCO2 Data Y. Wang et al. 10.3390/rs15123207
76. Research Progress of Atmospheric CO2Monitoring by Satellite Remote Sensing R. Gao 10.1088/1742-6596/2386/1/012028
77. The OCO-3 mission: measurement objectives and expected performance based on 1 year of simulated data A. Eldering et al. 10.5194/amt-12-2341-2019
78. 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
79. Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al. 10.5194/amt-16-581-2023
80. Dynamics of atmospheric carbon dioxide over different land cover types in India A. Chhabra & A. Gohel 10.1007/s10661-019-7681-z
81. Intercomparison of low- and high-resolution infrared spectrometers for ground-based solar remote sensing measurements of total column concentrations of CO2, CH4, and CO M. Sha et al. 10.5194/amt-13-4791-2020
82. Characterizing Average Seasonal, Synoptic, and Finer Variability in Orbiting Carbon Observatory‐2 XCO2 Across North America and Adjacent Ocean Basins K. Mitchell et al. 10.1029/2022JD036696
83. Carbon Dioxide Retrieval from TanSat Observations and Validation with TCCON Measurements S. Wang et al. 10.3390/rs12142204
84. How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. 10.1029/2021RG000736
85. Comparison of Global XCO2 Concentrations From OCO-2 With TCCON Data in Terms of Latitude Zones A. Liang et al. 10.1109/JSTARS.2017.2650942
86. Quantifying the Impact of Atmospheric Transport Uncertainty on CO2 Surface Flux Estimates A. Schuh et al. 10.1029/2018GB006086
87. 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. 10.5194/amt-12-6049-2019
88. Spatial Retrievals of Atmospheric Carbon Dioxide from Satellite Observations J. Hobbs et al. 10.3390/rs13040571
89. XCO2 estimates from the OCO-2 measurements using a neural network approach L. David et al. 10.5194/amt-14-117-2021
90. Measuring Regional Atmospheric CO2 Concentrations in the Lower Troposphere with a Non-Dispersive Infrared Analyzer Mounted on a UAV, Ogata Village, Akita, Japan T. Chiba et al. 10.3390/atmos10090487
91. Study on the Ground-Based FTS Measurements at Beijing, China and the Colocation Sensitivity of Satellite Data S. Yang et al. 10.3390/atmos12121586
92. Applicability of Machine Learning Model to Simulate Atmospheric CO₂ Variability I. Girach et al. 10.1109/TGRS.2022.3157774
93. Impact of Amazonian Fires on Atmospheric CO2 X. Jiang et al. 10.1029/2020GL091875
94. 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. 10.1007/s00376-022-2116-0
95. The Orbiting Carbon Observatory-2 early science investigations of regional carbon dioxide fluxes A. Eldering et al. 10.1126/science.aam5745
96. Generating daily high-resolution and full-coverage XCO2 across China from 2015 to 2020 based on OCO-2 and CAMS data T. Li et al. 10.1016/j.scitotenv.2023.164921
97. A new algorithm to generate a priori trace gas profiles for the GGG2020 retrieval algorithm J. Laughner et al. 10.5194/amt-16-1121-2023
98. Towards monitoring the CO2 source–sink distribution over India via inverse modelling: quantifying the fine-scale spatiotemporal variability in the atmospheric CO2 mole fraction V. Thilakan et al. 10.5194/acp-22-15287-2022
99. Probabilistic global maps of the CO2 column at daily and monthly scales from sparse satellite measurements F. Chevallier et al. 10.1002/2017JD026453
100. 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
101. Spatial–Temporal CO2 Variations near St. Petersburg Based on Satellite and Ground-Based Measurements Y. Timofeyev et al. 10.1134/S0001433819010109
102. High Resolution Fourier Transform Spectrometer for Ground-Based Verification of Greenhouse Gases Satellites H. Shi et al. 10.3390/rs15061671
103. Comparison of Satellite-Observed XCO2 from GOSAT, OCO-2, and Ground-Based TCCON A. Liang et al. 10.3390/rs9101033
104. Ground-based measurement of column-averaged mixing ratios of methane and carbon dioxide in the Sichuan Basin of China by a desktop optical spectrum analyzer X. Qin et al. 10.1117/1.JRS.12.012002
105. The impact of transport model differences on CO2 surface flux estimates from OCO-2 retrievals of column average CO2 S. Basu et al. 10.5194/acp-18-7189-2018
106. The impact of improved satellite retrievals on estimates of biospheric carbon balance S. Miller & A. Michalak 10.5194/acp-20-323-2020
107. Intercomparison of atmospheric CO2 and CH4 abundances on regional scales in boreal areas using Copernicus Atmosphere Monitoring Service (CAMS) analysis, COllaborative Carbon Column Observing Network (COCCON) spectrometers, and Sentinel-5 Precursor satellite observations Q. Tu et al. 10.5194/amt-13-4751-2020
108. A Review of Satellite-Based CO2 Data Reconstruction Studies: Methodologies, Challenges, and Advances K. Hu et al. 10.3390/rs16203818
109. 主被动星载大气探测载荷性能对比与分析 王. Wang Jingsong & 刘. Liu Dong 10.3788/AOS231153
110. Retrieval and Validation of XCO2 from TanSat Target Mode Observations in Beijing Z. Bao et al. 10.3390/rs12183063
111. 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
112. Evidence of Carbon Uptake Associated with Vegetation Greening Trends in Eastern China Z. He et al. 10.3390/rs12040718
113. A review of datasets and methods for deriving spatiotemporal distributions of atmospheric CO2 C. He et al. 10.1016/j.jenvman.2022.116101
114. An improved band design framework for atmospheric pollutant detection and its application to the design of satellites for CO2 observation Z. Wu et al. 10.1016/j.jqsrt.2023.108712
115. 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
116. 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. 10.1007/s00376-020-9160-4
117. Inference for Errors-in-Variables Models in the Presence of Systematic Errors with an Application to a Satellite Remote Sensing Campaign B. Zhang et al. 10.1080/00401706.2018.1476268
118. A Comparison of OCO-2 SIF, MODIS GPP, and GOSIF Data from Gross Primary Production (GPP) Estimation and Seasonal Cycles in North America R. Qiu et al. 10.3390/rs12020258
119. Forward model emulator for atmospheric radiative transfer using Gaussian processes and cross validation O. Lamminpää et al. 10.5194/amt-18-673-2025
120. Applicability of neural networks to etalon fringe filtering in laser spectrometers J. Nicely et al. 10.1016/j.jqsrt.2018.03.004
121. 100 Years of Progress in Gas-Phase Atmospheric Chemistry Research T. Wallington et al. 10.1175/AMSMONOGRAPHS-D-18-0008.1
122. Comparison of CAMS Data on CO2 with Measurements in Peterhof G. Nerobelov et al. 10.1134/S102485602106018X
123. Super-resolution reconstruction of GOSAT CO 2 products using bicubic interpolation R. Xiang et al. 10.1080/10106049.2022.2096699
124. CO2 in Beijing and Xianghe Observed by Ground-Based FTIR Column Measurements and Validation to OCO-2/3 Satellite Observations M. Zhou et al. 10.3390/rs14153769
125. High-Resolution Geos-Chem Model for Indian Monsoon Region: Seasonal Cycle and Budget of Tropospheric Co2 S. Allahudheen et al. 10.2139/ssrn.4161842
126. On Statistical Approaches to Generate Level 3 Products from Satellite Remote Sensing Retrievals A. Zammit-Mangion et al. 10.3390/rs10010155
127. Improving Model-Based Carbon Dioxide Datasets Using Deep Learning and Satellite Observations F. Mustafa & M. Xu 10.1109/TGRS.2025.3556309
128. Top-down Constraint on Regional Fossil Fuel CO2 Emissions in China using GOSAT and OCO-2 Satellite XCO2 Retrievals: A Case of the COVID-19 Lockdown W. Chang et al. 10.1007/s00376-024-4150-6
129. 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
130. The carbon sink in China as seen from GOSAT with a regional inversion system based on the Community Multi-scale Air Quality (CMAQ) and ensemble Kalman smoother (EnKS) X. Kou et al. 10.5194/acp-23-6719-2023
131. Comparison of OCO-2 target observations to MUCCnet – is it possible to capture urban XCO2 gradients from space? M. Rißmann et al. 10.5194/amt-15-6605-2022
132. Exploring bias in the OCO-3 snapshot area mapping mode via geometry, surface, and aerosol effects E. Bell et al. 10.5194/amt-16-109-2023
133. A XCO Retrieval Algorithm Coupled Spatial Correlation for the Aerosol and Carbon Detection Lidar Z. Pei et al. 10.1016/j.atmosenv.2023.119933
134. Significance of Various Sensing Mechanisms for Detecting Local and Atmospheric Greenhouse Gases: A Review N. Bassous et al. 10.1002/adsr.202300094
135. Effects of Emission Variability on Atmospheric CO2 Concentrations in Mainland China W. Lu et al. 10.3390/rs17050814
136. Study of Climate Change Detection in North-East Africa Using Machine Learning and Satellite Data S. Ibrahim et al. 10.1109/JSTARS.2021.3120987
137. Methane remote sensing and emission quantification of offshore shallow water oil and gas platforms in the Gulf of Mexico A. Ayasse et al. 10.1088/1748-9326/ac8566
138. Modelling CO2 weather – why horizontal resolution matters A. Agustí-Panareda et al. 10.5194/acp-19-7347-2019
139. Influences of aerosols and thin cirrus clouds on GOSAT XCO2 and XCH4 using Total Carbon Column Observing Network, sky radiometer, and lidar data T. Trieu et al. 10.1080/01431161.2022.2038395
140. 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
141. Background CO2 levels and error analysis from ground-based solar absorption IR measurements in central Mexico J. Baylon et al. 10.5194/amt-10-2425-2017
142. Analysis of Four Years of Global XCO2 Anomalies as Seen by Orbiting Carbon Observatory-2 J. Hakkarainen et al. 10.3390/rs11070850
143. Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
144. First high-resolution spectrum and line-by-line analysis of the 2ν2 band of HTO around 3.8 microns J. Reinking et al. 10.1016/j.jqsrt.2019.03.017
145. Local and regional enhancements of CH4, CO, and CO2 inferred from TCCON column measurements K. Mottungan et al. 10.5194/amt-17-5861-2024
146. Dynamic Coupling Between Atmospheric CO2 Concentration and Land Surface Temperature in Major Urban Agglomerations in China: Insights for Sustainable Urban Development Q. Sun et al. 10.3390/su16219484
147. Characteristics of greenhouse gas concentrations derived from ground-based FTS spectra at Anmyeondo, South Korea Y. Oh et al. 10.5194/amt-11-2361-2018
148. Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. 10.1029/2019JD030528
149. The Influence of Validation Colocation on XCO2 Satellite–Terrestrial Joint Observations R. Li et al. 10.3390/rs15225270
150. Impact of El Niño Southern Oscillation on CO2 and Solar‐Induced Fluorescence Over the Indo‐Pacific Region R. Albright et al. 10.1029/2023EA003126
151. The increasing atmospheric CO2 over India: Comparison to global trends J. Kuttippurath et al. 10.1016/j.isci.2022.104863
152. Greenhouse gas column observations from a portable spectrometer in Uganda N. Humpage et al. 10.5194/amt-17-5679-2024
153. Characterizing biospheric carbon balance using CO2 observations from the OCO-2 satellite S. Miller et al. 10.5194/acp-18-6785-2018
154. 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. 10.3390/rs17050734
155. Urban-focused satellite CO2 observations from the Orbiting Carbon Observatory-3: A first look at the Los Angeles megacity M. Kiel et al. 10.1016/j.rse.2021.112314
156. Variation patterns and driving factors of regional atmospheric CO2 anomalies in China Y. Fu et al. 10.1007/s11356-021-17139-5
157. Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations J. Chimot et al. 10.5194/amt-11-2257-2018
158. 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
159. Toward High Precision XCO2Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements D. Yang et al. 10.1029/2020JD032794
160. Comparing sources of uncertainty in community greenhouse gas estimation techniques M. Blackhurst & H. Matthews 10.1088/1748-9326/ac6084
161. Study of Atmospheric Carbon Dioxide Retrieval Method Based on Normalized Sensitivity L. Zhao et al. 10.3390/rs14051106
162. Validation of Remotely Sensed XCO2 Products With TCCON Observations in East Asia M. Ji et al. 10.1109/JSTARS.2024.3378229
163. Contrasting carbon cycle responses of the tropical continents to the 2015–2016 El Niño J. Liu et al. 10.1126/science.aam5690
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167. Quantifying factory-scale CO2/CH4 emission based on mobile measurements and EMISSION-PARTITION model: cases in China T. Shi et al. 10.1088/1748-9326/acbce7
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