230 citations as recorded by crossref.

1. 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
2. Measurement of atmospheric CO<sub>2</sub> column concentrations to cloud tops with a pulsed multi-wavelength airborne lidar J. Mao et al. 10.5194/amt-11-127-2018
3. MeznSat—A 3U CubeSat for Monitoring Greenhouse Gases Using Short Wave Infra-Red Spectrometry: Mission Concept and Analysis A. Jallad et al. 10.3390/aerospace6110118
4. GOSAT-2014 methane spectral line list A. Nikitin et al. 10.1016/j.jqsrt.2014.12.003
5. 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
6. XCO2 satellite retrieval experiments in short-wave infrared spectrum and ground-based validation M. Zhou et al. 10.1007/s11430-015-5080-z
7. The role of satellite remote sensing in mitigating and adapting to global climate change S. Zhao et al. 10.1016/j.scitotenv.2023.166820
8. 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
9. Improved Methods for Retrieval of Chlorophyll Fluorescence from Satellite Observation in the Far-Red Band Using Singular Value Decomposition Algorithm K. Zhu et al. 10.3390/rs16183441
10. Comparison of Satellite-Observed XCO2 from GOSAT, OCO-2, and Ground-Based TCCON A. Liang et al. 10.3390/rs9101033
11. Toward High Precision XCO2Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements D. Yang et al. 10.1029/2020JD032794
12. TCCON Philippines: First Measurement Results, Satellite Data and Model Comparisons in Southeast Asia V. Velazco et al. 10.3390/rs9121228
13. Study of Climate Change Detection in North-East Africa Using Machine Learning and Satellite Data S. Ibrahim et al. 10.1109/JSTARS.2021.3120987
14. Evaluation of Bias Correction Methods for GOSAT SWIR XH2O Using TCCON data T. Trieu et al. 10.3390/rs11030290
15. Sensitivity of Optimal Estimation Satellite Retrievals to Misspecification of the Prior Mean and Covariance, with Application to OCO-2 Retrievals H. Nguyen et al. 10.3390/rs11232770
16. A cloud detection scheme for the Chinese Carbon Dioxide Observation Satellite (TANSAT) X. Wang et al. 10.1007/s00376-016-6033-y
17. 煤炭行业甲烷排放卫星遥感研究进展与展望 秦. Qin Kai et al. 10.3788/AOS231293
18. Quantifying the impact of aerosol scattering on the retrieval of methane from airborne remote sensing measurements Y. Huang et al. 10.5194/amt-13-6755-2020
19. Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
20. Comparative Evaluation of Top-Down GOSAT XCO2 vs. Bottom-Up National Reports in the European Countries Y. Hwang et al. 10.3390/su13126700
21. An 11-year record of XCO<sub>2</sub> estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm T. Taylor et al. 10.5194/essd-14-325-2022
22. Intercomparison of Carbon Dioxide Products Retrieved from GOSAT Short-Wavelength Infrared Spectra for Three Years (2010–2012) A. Deng et al. 10.3390/atmos7090109
23. Regional CO<sub>2</sub> flux estimates for 2009–2010 based on GOSAT and ground-based CO<sub>2</sub> observations S. Maksyutov et al. 10.5194/acp-13-9351-2013
24. Local and regional enhancements of CH4, CO, and CO2 inferred from TCCON column measurements K. Mottungan et al. 10.5194/amt-17-5861-2024
25. 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. 10.5194/amt-17-1375-2024
26. Evaluation of earth system model and atmospheric inversion using total column CO2 observations from GOSAT and OCO-2 P. Patra et al. 10.1186/s40645-021-00420-z
27. What controls the seasonal cycle of columnar methane observed by GOSAT over different regions in India? N. Chandra et al. 10.5194/acp-17-12633-2017
28. New approach to evaluate satellite-derived XCO<sub>2</sub> over oceans by integrating ship and aircraft observations A. Müller et al. 10.5194/acp-21-8255-2021
29. Retrieval and Validation of XCO2 from TanSat Target Mode Observations in Beijing Z. Bao et al. 10.3390/rs12183063
30. Assessment of the Influence of Instrument Parameters on the Detection Accuracy of Greenhouse-Gases Absorption Spectrometer-2 (GAS-2) S. Li et al. 10.3390/atmos14091418
31. China’s sizeable and uncertain carbon sink: a perspective from GOSAT L. Zhang et al. 10.1007/s11434-014-0260-3
32. First Concurrent Observations of NO2 and CO2 From Power Plant Plumes by Airborne Remote Sensing T. Fujinawa et al. 10.1029/2021GL092685
33. Research Progress of Atmospheric CO2Monitoring by Satellite Remote Sensing R. Gao 10.1088/1742-6596/2386/1/012028
34. 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
35. 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
36. 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
37. Evaluation of the methane full-physics retrieval applied to TROPOMI ocean sun glint measurements A. Lorente et al. 10.5194/amt-15-6585-2022
38. Ground-Based Remote Sensing of Total Columnar CO2, CH4, and CO Using EM27/SUN FTIR Spectrometer at a Suburban Location (Shadnagar) in India and Validation of Sentinel-5P/TROPOMI V. Sagar et al. 10.1109/LGRS.2022.3171216
39. Validation of XCH<sub>4</sub> derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data M. Inoue et al. 10.5194/amt-7-2987-2014
40. Characteristics of interannual variability in space-based XCO2 global observations Y. Guan et al. 10.5194/acp-23-5355-2023
41. Impact of ENSO on variability of global CO2 concentration retrievals from GOSAT and AIRS N. Ying & Q. Ye 10.1088/1755-1315/237/2/022009
42. An intercomparison of inverse models for estimating sources and sinks of CO2 using GOSAT measurements S. Houweling et al. 10.1002/2014JD022962
43. A development of cloud top height retrieval using thermal infrared spectra observed with GOSAT and comparison with CALIPSO data Y. Someya et al. 10.5194/amt-9-1981-2016
44. CH4 retrieval from hyperspectral satellite measurements in short-wave infrared: sensitivity study and preliminary test with GOSAT data J. Deng et al. 10.1007/s11434-014-0245-2
45. Greenhouse gases Observing SATellite 2 (GOSAT-2): mission overview R. Imasu et al. 10.1186/s40645-023-00562-2
46. 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
47. 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
48. Global mapping of greenhouse gases retrieved from GOSAT Level 2 products by using a kriging method H. Watanabe et al. 10.1080/01431161.2015.1011792
49. Global Evaluation and Intercomparison of XCO2 Retrievals from GOSAT, OCO-2, and TANSAT with TCCON J. Fang et al. 10.3390/rs15205073
50. 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. 10.5194/amt-13-789-2020
51. 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
52. Identification of Bias in Satellite Measurements Using its Geospatial Properties J. Tadic & S. Biraud 10.1109/LGRS.2020.3015174
53. 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
54. Spatio-Temporal Mapping of Multi-Satellite Observed Column Atmospheric CO2 Using Precision-Weighted Kriging Method Z. He et al. 10.3390/rs12030576
55. A differential optical absorption spectroscopy method for $${X_{CO_2}}$$ retrieval from ground-based Fourier transform spectrometers measurements of the direct solar beam Y. Huo et al. 10.1007/s00376-015-4213-9
56. Improvement of satellite-based estimation of gross primary production through optimization of meteorological parameters and high resolution land cover information at regional scale over East Asia H. Park et al. 10.1016/j.agrformet.2019.02.040
57. The global methane budget 2000–2012 M. Saunois et al. 10.5194/essd-8-697-2016
58. A 4D-Var inversion system based on the icosahedral grid model (NICAM-TM 4D-Var v1.0) – Part 2: Optimization scheme and identical twin experiment of atmospheric CO<sub>2</sub> inversion Y. Niwa et al. 10.5194/gmd-10-2201-2017
59. Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories F. Wang et al. 10.3390/rs11212489
60. Observations of atmospheric CO2 and CO based on in-situ and ground-based remote sensing measurements at Hefei site, China C. Shan et al. 10.1016/j.scitotenv.2022.158188
61. Comparison of GOSAT SWIR and Aircraft Measurements of XCH₄ over West Siberia A. Ono et al. 10.2151/sola.2015-036
62. 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
63. Regional CO emission estimated from ground-based remote sensing at Hefei site, China C. Shan et al. 10.1016/j.atmosres.2019.02.005
64. Using portable low-resolution spectrometers to evaluate Total Carbon Column Observing Network (TCCON) biases in North America N. Mostafavi Pak et al. 10.5194/amt-16-1239-2023
65. Retrieval of greenhouse gases from GOSAT and GOSAT-2 using the FOCAL algorithm S. Noël et al. 10.5194/amt-15-3401-2022
66. A simple and quick sensitivity analysis method for methane isotopologues detection with GOSAT-TANSO-FTS E. Malina et al. 10.14324/111.444/ucloe.000013
67. The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
68. Interannual variability on methane emissions in monsoon Asia derived from GOSAT and surface observations F. Wang et al. 10.1088/1748-9326/abd352
69. Ability of the 4-D-Var analysis of the GOSAT BESD XCO<sub>2</sub> retrievals to characterize atmospheric CO<sub>2</sub> at large and synoptic scales S. Massart et al. 10.5194/acp-16-1653-2016
70. Quantitative analysis of spatiotemporal coverage and uncertainty decomposition in OCO-2/3 XCO2 across China L. Zhang et al. 10.1016/j.atmosenv.2024.120636
71. 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
72. Regional uncertainty of GOSAT XCO<sub>2</sub> retrievals in China: quantification and attribution N. Bie et al. 10.5194/amt-11-1251-2018
73. Fourier transform spectrometer measurements of column CO<sub>2</sub> at Sodankylä, Finland R. Kivi & P. Heikkinen 10.5194/gi-5-271-2016
74. Study on the Ground-Based FTS Measurements at Beijing, China and the Colocation Sensitivity of Satellite Data S. Yang et al. 10.3390/atmos12121586
75. 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
76. Retrieval of Global Carbon Dioxide From TanSat Satellite and Comprehensive Validation With TCCON Measurements and Satellite Observations X. Hong et al. 10.1109/TGRS.2021.3066623
77. Comparisons of CH<sub>4</sub> ground-based FTIR measurements near Saint Petersburg with GOSAT observations N. Gavrilov et al. 10.5194/amt-7-1003-2014
78. Biogenic link to the recent increase in atmospheric methane over India A. Singh et al. 10.1016/j.jenvman.2021.112526
79. Assimilation of GOSAT Methane in the Hemispheric CMAQ; Part II: Results Using Optimal Error Statistics S. Voshtani et al. 10.3390/rs14020375
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. Impact of the Asian monsoon anticyclone on the variability of mid-to-upper tropospheric methane above the Mediterranean Basin P. Ricaud et al. 10.5194/acp-14-11427-2014
82. Relationships between CO₂ Flux Estimated by Inverse Analysis and Land Surface Elements in South America and Africa K. MABUCHI et al. 10.2151/jmsj.2016-021
83. An advanced retrieval algorithm for greenhouse gases using polarization information measured by GOSAT TANSO‐FTS SWIR I: Simulation study N. Kikuchi et al. 10.1002/2015JD024720
84. Satellite-derived methane hotspot emission estimates using a fast data-driven method M. Buchwitz et al. 10.5194/acp-17-5751-2017
85. Monitoring Greenhouse Gases from Space H. Boesch et al. 10.3390/rs13142700
86. Intercomparison of Remote Sensing Retrievals: An Examination of Prior-Induced Biases in Averaging Kernel Corrections H. Nguyen & J. Hobbs 10.3390/rs12193239
87. East Asian methane emissions inferred from high-resolution inversions of GOSAT and TROPOMI observations: a comparative and evaluative analysis R. Liang et al. 10.5194/acp-23-8039-2023
88. Global height-resolved methane retrievals from the Infrared Atmospheric Sounding Interferometer (IASI) on MetOp R. Siddans et al. 10.5194/amt-10-4135-2017
89. Variation of XCO2 anomaly patterns in the Middle East from OCO-2 satellite data F. Golkar & S. Mousavi 10.1080/17538947.2022.2096936
90. Atmospheric Greenhouse Gas Distributions: Satellite-Based Measurements A. Uspensky 10.1134/S0001433823140141
91. Evaluating the performance of carbon dioxide and methane observations from carbon-monitoring satellite products over China X. Hong et al. 10.1016/j.scitotenv.2024.176896
92. Algorithm update of the GOSAT/TANSO-FTS thermal infrared CO<sub>2</sub> product (version 1) and validation of the UTLS CO<sub>2</sub> data using CONTRAIL measurements N. Saitoh et al. 10.5194/amt-9-2119-2016
93. Enhanced Methane Emissions during Amazonian Drought by Biomass Burning M. Saito et al. 10.1371/journal.pone.0166039
94. Country-level methane emissions and their sectoral trends during 2009–2020 estimated by high-resolution inversion of GOSAT and surface observations R. Janardanan et al. 10.1088/1748-9326/ad2436
95. A high-precision retrieval method for methane vertical profiles based on dual-band spectral data from the GOSAT satellite L. Li et al. 10.1016/j.atmosenv.2023.120183
96. Comparative evaluation of CO2concentrations across administrative regions with temperate climates in Northeast Asia: potentials and constraints J. Um 10.1080/17583004.2015.1090057
97. Global methane emission estimates for 2000–2012 from CarbonTracker Europe-CH<sub>4</sub> v1.0 A. Tsuruta et al. 10.5194/gmd-10-1261-2017
98. 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
99. Detection of fossil-fuel CO2 plummet in China due to COVID-19 by observation at Hateruma Y. Tohjima et al. 10.1038/s41598-020-75763-6
100. 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
101. Occurrence and Discrepancy of Surface and Column Mole Fractions of CO2 and CH4 at a Desert Site in Dunhuang, Western China C. Wei et al. 10.3390/atmos13040571
102. 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
103. 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
104. Spatiotemporal Investigation of Near-Surface CO2 and Its Affecting Factors Over Asia F. Mustafa et al. 10.1109/TGRS.2022.3178125
105. Validation of GOSAT SWIR XCO₂ and XCH₄ Retrieved by PPDF-S Method and Comparison with Full Physics Method C. Iwasaki et al. 10.2151/sola.2017-031
106. Spatial distributions of <i>X</i><sub>CO<sub>2</sub></sub> seasonal cycle amplitude and phase over northern high-latitude regions N. Jacobs et al. 10.5194/acp-21-16661-2021
107. 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
108. Ship- and aircraft-based XCH4 over oceans as a new tool for satellite validation A. Müller et al. 10.5194/amt-17-1297-2024
109. Spatiotemporal investigation of near-surface CH4 and factors influencing CH4 over South, East, and Southeast Asia M. Khaliq et al. 10.1016/j.scitotenv.2024.171311
110. Assessment of Anthropogenic Methane Emissions over Large Regions Based on GOSAT Observations and High Resolution Transport Modeling R. Janardanan et al. 10.3390/rs9090941
111. Investigating the performance of a greenhouse gas observatory in Hefei, China W. Wang et al. 10.5194/amt-10-2627-2017
112. A Theoretical Analysis for Improving Aerosol-Induced CO2 Retrieval Uncertainties Over Land Based on TanSat Nadir Observations Under Clear Sky Conditions X. Chen et al. 10.3390/rs11091061
113. XCO<sub>2</sub> retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm S. Noël et al. 10.5194/amt-14-3837-2021
114. 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
115. 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
116. Atmospheric ammonia retrieval from the TANSO-FTS/GOSAT thermal infrared sounder Y. Someya et al. 10.5194/amt-13-309-2020
117. Estimation of CH4emission based on an advanced 4D-LETKF assimilation system J. Bisht et al. 10.5194/gmd-16-1823-2023
118. A high-accuracy method for simulating the XCO2 global distribution using GOSAT retrieval data M. Zhao et al. 10.1007/s11430-016-0069-7
119. 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
120. An advanced carbon dioxide retrieval algorithm for satellite measurements and its application to GOSAT observations D. Yang et al. 10.1007/s11434-015-0953-2
121. XCO2 satellite retrieval experiments in short-wave and infrared spectra with SCIATRAN model for Sahara Desert Y. Li et al. 10.1007/s11430-015-0198-x
122. Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved from GOSAT Spectra H. Oshio et al. 10.3390/rs12193155
123. 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
124. A decade of GOSAT Proxy satellite CH<sub>4</sub> observations R. Parker et al. 10.5194/essd-12-3383-2020
125. Sensitivity of CO2 surface flux constraints to observational coverage B. Byrne et al. 10.1002/2016JD026164
126. 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
127. Variations in Column Concentration of Greenhouse Gases in China and Their Response to the 2015–2016 El Niño Event N. Liu et al. 10.1007/s13351-024-3160-8
128. 大气甲烷卫星传感器和遥感算法研究综述 何. He Zhuo et al. 10.3788/AOS230429
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130. Using ocean-glint scattered sunlight as a diagnostic tool for satellite remote sensing of greenhouse gases A. Butz et al. 10.5194/amt-6-2509-2013
131. Atmospheric observations suggest methane emissions in north-eastern China growing with natural gas use F. Wang et al. 10.1038/s41598-022-19462-4
132. Satellite and ground-based measurements of XCO<sub>2</sub> in a remote semiarid region of Australia V. Velazco et al. 10.5194/essd-11-935-2019
133. A long-term global XCO2 dataset: Ensemble of satellite products C. Jin et al. 10.1016/j.atmosres.2022.106385
134. Space- and ground-based CO2 measurements: A review T. Yue et al. 10.1007/s11430-015-0239-7
135. A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering—Part 1: Radiative Transfer and a Potential OCO-2 XCO2 Retrieval Setup M. Reuter et al. 10.3390/rs9111159
136. Observations of XCO<sub>2</sub> and XCH<sub>4</sub> with ground-based high-resolution FTS at Saga, Japan, and comparisons with GOSAT products H. Ohyama et al. 10.5194/amt-8-5263-2015
137. CO2 concentration and its spatiotemporal variation in the troposphere using multi-sensor satellite data, carbon tracker, and aircraft observations S. Lee et al. 10.1080/15481603.2017.1317120
138. Atmospheric CO2retrieval from satellite spectral measurements by a two-step machine learning approach Z. Zhao et al. 10.1016/j.jqsrt.2021.108006
139. EOF-based regression algorithm for the fast retrieval of atmospheric CO2 total column amount from the GOSAT observations А. Bril et al. 10.1016/j.jqsrt.2016.12.005
140. Development of satellite-based surface methane flux model for major agro-ecosystems using energy balance diagnostics S. Thakur et al. 10.1007/s10333-020-00808-5
141. First Global Carbon Dioxide Maps Produced from TanSat Measurements D. Yang et al. 10.1007/s00376-018-7312-6
142. Quantification and evaluation of atmospheric emissions from crop residue burning constrained by satellite observations in China during 2016–2020 X. Hong et al. 10.1016/j.scitotenv.2022.161237
143. Using Multisource Data and Time Series Features to Construct a Global Terrestrial CO₂ Coverage by Deep Learning W. Tian et al. 10.1109/TGRS.2024.3462589
144. Vast ecosystem disturbance in a warming climate may jeopardize our climate goal of reducing CO2: a case study for megafires in the Australian ‘black summer’ X. Hong et al. 10.1016/j.scitotenv.2023.161387
145. Monitoring carbon dioxide from space: Retrieval algorithm and flux inversion based on GOSAT data and using CarbonTracker-China D. Yang et al. 10.1007/s00376-017-6221-4
146. Modification of Fraser’s Method for the Atmospheric CO2 Mass Estimation by Using Satellite Data M. Pellegrini et al. 10.3390/atmos13060866
147. Retrieval of vertical profiles and tropospheric CO2 columns based on high-resolution FTIR over Hefei, China C. Shan et al. 10.1364/OE.411383
148. A Review of Anthropogenic Ground-Level Carbon Emissions Based on Satellite Data K. Hu et al. 10.1109/JSTARS.2024.3355549
149. Evaluating two soil carbon models within the global land surface model JSBACH using surface and spaceborne observations of atmospheric CO<sub>2</sub> T. Thum et al. 10.5194/bg-17-5721-2020
150. 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
151. Validation of XCO<sub>2</sub> and XCH<sub>4</sub> retrieved from a portable Fourier transform spectrometer with those from in situ profiles from aircraft-borne instruments H. Ohyama et al. 10.5194/amt-13-5149-2020
152. Long-term column-averaged greenhouse gas observations using a COCCON spectrometer at the high-surface-albedo site in Gobabeb, Namibia M. Frey et al. 10.5194/amt-14-5887-2021
153. 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
154. Validation of XCO<sub>2</sub> derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data M. Inoue et al. 10.5194/acp-13-9771-2013
155. Development of the empirical orthogonal functions-based algorithm for the retrievals of atmospheric CO2 total column amount from space-borne observations of reflected sunlight A. Bril & S. Maksyutov 10.1117/1.JRS.12.046012
156. 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
157. Computation and analysis of atmospheric carbon dioxide annual mean growth rates from satellite observations during 2003–2016 M. Buchwitz et al. 10.5194/acp-18-17355-2018
158. XCO2 Fusion Algorithm Based on Multi-Source Greenhouse Gas Satellites and CarbonTracker A. Liang et al. 10.3390/atmos14091335
159. Bias assessment of lower and middle tropospheric CO<sub>2</sub> concentrations of GOSAT/TANSO-FTS TIR version 1 product N. Saitoh et al. 10.5194/amt-10-3877-2017
160. 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
161. The Atmospheric Imaging Mission for Northern Regions: AIM-North R. Nassar et al. 10.1080/07038992.2019.1643707
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178. Preface D. Lü & Y. Liu 10.1007/s11434-014-0313-7
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187. Detection of Methane Emission from a Local Source Using GOSAT Target Observations A. Kuze et al. 10.3390/rs12020267
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197. 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
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208. Validation and analysis of MOPITT CO observations of the Amazon Basin M. Deeter et al. 10.5194/amt-9-3999-2016
209. Analysis of spatiotemporal patterns of atmospheric CO2 concentration in the Yellow River Basin over the past decade based on time-series remote sensing data Y. Lv et al. 10.1007/s11356-023-30553-1
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213. Near-real-time estimation of fossil fuel CO2 emissions from China based on atmospheric observations on Hateruma and Yonaguni Islands, Japan Y. Tohjima et al. 10.1186/s40645-023-00542-6
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218. Characterisation of methane variability and trends from near-infrared solar spectra over Hefei, China Y. Tian et al. 10.1016/j.atmosenv.2017.11.001
219. Information content analysis: the potential for methane isotopologue retrieval from GOSAT-2 E. Malina et al. 10.5194/amt-11-1159-2018
220. Emissions from the Oil and Gas Sectors, Coal Mining and Ruminant Farming Drive Methane Growth over the Past Three Decades N. CHANDRA et al. 10.2151/jmsj.2021-015
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230. Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system P. Ciais et al. 10.5194/bg-11-3547-2014