159 citations as recorded by crossref.

1. Assessment of Anthropogenic Methane Emissions over Large Regions Based on GOSAT Observations and High Resolution Transport Modeling R. Janardanan et al. 10.3390/rs9090941
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. Investigating the performance of a greenhouse gas observatory in Hefei, China W. Wang et al. 10.5194/amt-10-2627-2017
4. 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
5. 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
6. GOSAT-2014 methane spectral line list A. Nikitin et al. 10.1016/j.jqsrt.2014.12.003
7. Improved Constraints on Northern Extratropical CO 2 Fluxes Obtained by Combining Surface‐Based and Space‐Based Atmospheric CO 2 Measurements B. Byrne et al. 10.1029/2019JD032029
8. 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
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. 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
11. XCO2 satellite retrieval experiments in short-wave infrared spectrum and ground-based validation M. Zhou et al. 10.1007/s11430-015-5080-z
12. Atmospheric ammonia retrieval from the TANSO-FTS/GOSAT thermal infrared sounder Y. Someya et al. 10.5194/amt-13-309-2020
13. 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
14. A high-accuracy method for simulating the XCO2 global distribution using GOSAT retrieval data M. Zhao et al. 10.1007/s11430-016-0069-7
15. Comparison of Satellite-Observed XCO2 from GOSAT, OCO-2, and Ground-Based TCCON A. Liang et al. 10.3390/rs9101033
16. Toward High Precision XCO 2 Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements D. Yang et al. 10.1029/2020JD032794
17. 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
18. 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
19. TCCON Philippines: First Measurement Results, Satellite Data and Model Comparisons in Southeast Asia V. Velazco et al. 10.3390/rs9121228
20. 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
21. Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved from GOSAT Spectra H. Oshio et al. 10.3390/rs12193155
22. Study of Climate Change Detection in North-East Africa Using Machine Learning and Satellite Data S. Ibrahim et al. 10.1109/JSTARS.2021.3120987
23. 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
24. Evaluation of Bias Correction Methods for GOSAT SWIR XH2O Using TCCON data T. Trieu et al. 10.3390/rs11030290
25. 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
26. A decade of GOSAT Proxy satellite CH<sub>4</sub> observations R. Parker et al. 10.5194/essd-12-3383-2020
27. Sensitivity of CO2surface flux constraints to observational coverage B. Byrne et al. 10.1002/2016JD026164
28. 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
29. A cloud detection scheme for the Chinese Carbon Dioxide Observation Satellite (TANSAT) X. Wang et al. 10.1007/s00376-016-6033-y
30. 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
31. Comparative Evaluation of Top-Down GOSAT XCO2 vs. Bottom-Up National Reports in the European Countries Y. Hwang et al. 10.3390/su13126700
32. Intercomparison of Carbon Dioxide Products Retrieved from GOSAT Short-Wavelength Infrared Spectra for Three Years (2010–2012) A. Deng et al. 10.3390/atmos7090109
33. 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
34. 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
35. 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
36. Space- and ground-based CO2 measurements: A review T. Yue et al. 10.1007/s11430-015-0239-7
37. 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
38. 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
39. 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
40. 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
41. Atmospheric CO2 retrieval from satellite spectral measurements by a two-step machine learning approach Z. Zhao et al. 10.1016/j.jqsrt.2021.108006
42. 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
43. 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
44. 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
45. Retrieval and Validation of XCO2 from TanSat Target Mode Observations in Beijing Z. Bao et al. 10.3390/rs12183063
46. 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
47. First Global Carbon Dioxide Maps Produced from TanSat Measurements D. Yang et al. 10.1007/s00376-018-7312-6
48. 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
49. Retrieval of vertical profiles and tropospheric CO2 columns based on high-resolution FTIR over Hefei, China C. Shan et al. 10.1364/OE.411383
50. China’s sizeable and uncertain carbon sink: a perspective from GOSAT L. Zhang et al. 10.1007/s11434-014-0260-3
51. First Concurrent Observations of NO 2 and CO 2 From Power Plant Plumes by Airborne Remote Sensing T. Fujinawa et al. 10.1029/2021GL092685
52. 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
53. 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
54. 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
55. 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
56. 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
57. 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
58. 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
59. 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
60. 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
61. 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
62. 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
63. The Atmospheric Imaging Mission for Northern Regions: AIM-North R. Nassar et al. 10.1080/07038992.2019.1643707
64. 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
65. 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
66. CO2 retrieval model and analysis in short-wave infrared spectrum Y. Li et al. 10.1016/j.ijleo.2016.01.144
67. Inter-annual variability of summertime CO 2 exchange in Northern Eurasia inferred from GOSAT XCO 2 M. Ishizawa et al. 10.1088/1748-9326/11/10/105001
68. An intercomparison of inverse models for estimating sources and sinks of CO2using GOSAT measurements S. Houweling et al. 10.1002/2014JD022962
69. Aerosol Property Retrieval Algorithm over Northeast Asia from TANSO-CAI Measurements Onboard GOSAT S. Lee et al. 10.3390/rs9070687
70. The Adaptable 4A Inversion (5AI): description and first <i>X</i><sub>CO<sub>2</sub></sub> retrievals from Orbiting Carbon Observatory-2 (OCO-2) observations M. Dogniaux et al. 10.5194/amt-14-4689-2021
71. 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
72. 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
73. Study of the footprints of short-term variation in XCO<sub>2</sub> observed by TCCON sites using NIES and FLEXPART atmospheric transport models D. Belikov et al. 10.5194/acp-17-143-2017
74. Meteorological Control of Subtropical South American Methane Emissions Estimated from GOSAT Observations H. Takagi et al. 10.2151/sola.2021-037
75. 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
76. 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
77. Evaluating Radiometric Responsivity Degradations of TANSO-FTS/GOSAT Using Principal Component Analysis Y. Someya & Y. Yoshida 10.1175/JTECH-D-19-0224.1
78. 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
79. Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature T. von Clarmann et al. 10.5194/amt-13-4393-2020
80. Identification of Bias in Satellite Measurements Using its Geospatial Properties J. Tadic & S. Biraud 10.1109/LGRS.2020.3015174
81. Update on GOSAT TANSO-FTS performance, operations, and data products after more than 6 years in space A. Kuze et al. 10.5194/amt-9-2445-2016
82. Large XCH<sub>4</sub> anomaly in summer 2013 over northeast Asia observed by GOSAT M. Ishizawa et al. 10.5194/acp-16-9149-2016
83. Assimilation of atmospheric methane products into the MACC-II system: from SCIAMACHY to TANSO and IASI S. Massart et al. 10.5194/acp-14-6139-2014
84. Spatio-Temporal Mapping of Multi-Satellite Observed Column Atmospheric CO2 Using Precision-Weighted Kriging Method Z. He et al. 10.3390/rs12030576
85. Preface D. Lü & Y. Liu 10.1007/s11434-014-0313-7
86. 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
87. 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
88. The global methane budget 2000–2012 M. Saunois et al. 10.5194/essd-8-697-2016
89. 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
90. Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories F. Wang et al. 10.3390/rs11212489
91. GFIT3: a full physics retrieval algorithm for remote sensing of greenhouse gases in the presence of aerosols Z. Zeng et al. 10.5194/amt-14-6483-2021
92. Evaluation and Analysis of the Seasonal Cycle and Variability of the Trend from GOSAT Methane Retrievals E. Kivimäki et al. 10.3390/rs11070882
93. Impact of Aerosol Property on the Accuracy of a CO2 Retrieval Algorithm from Satellite Remote Sensing Y. Jung et al. 10.3390/rs8040322
94. Country-Scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations R. Janardanan et al. 10.3390/rs12030375
95. Comparison of GOSAT SWIR and Aircraft Measurements of XCH₄ over West Siberia A. Ono et al. 10.2151/sola.2015-036
96. 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
97. Regional CO emission estimated from ground-based remote sensing at Hefei site, China C. Shan et al. 10.1016/j.atmosres.2019.02.005
98. Detection of Methane Emission from a Local Source Using GOSAT Target Observations A. Kuze et al. 10.3390/rs12020267
99. Geostatistical Analysis of CH4 Columns over Monsoon Asia Using Five Years of GOSAT Observations M. Liu et al. 10.3390/rs8050361
100. 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
101. The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
102. Comparing GOSAT observations of localized CO 2 enhancements by large emitters with inventory‐based estimates R. Janardanan et al. 10.1002/2016GL067843
103. Toward an Operational Anthropogenic CO2 Emissions Monitoring and Verification Support Capacity G. Janssens-Maenhout et al. 10.1175/BAMS-D-19-0017.1
104. Interannual variability on methane emissions in monsoon Asia derived from GOSAT and surface observations F. Wang et al. 10.1088/1748-9326/abd352
105. Satellite-inferred European carbon sink larger than expected M. Reuter et al. 10.5194/acp-14-13739-2014
106. 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. 10.3390/s19051262
107. Interannual Variability of Atmospheric CH4 and Its Driver Over South Korea Captured by Integrated Data in 2019 S. Kenea et al. 10.3390/rs13122266
108. 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
109. Potential improvements in global carbon flux estimates from a network of laser heterodyne radiometer measurements of column carbon dioxide P. Palmer et al. 10.5194/amt-12-2579-2019
110. Regional uncertainty of GOSAT XCO<sub>2</sub> retrievals in China: quantification and attribution N. Bie et al. 10.5194/amt-11-1251-2018
111. Fourier transform spectrometer measurements of column CO<sub>2</sub> at Sodankylä, Finland R. Kivi & P. Heikkinen 10.5194/gi-5-271-2016
112. Study on the Ground-Based FTS Measurements at Beijing, China and the Colocation Sensitivity of Satellite Data S. Yang et al. 10.3390/atmos12121586
113. Column-averaged CO2 concentrations in the subarctic from GOSAT retrievals and NIES transport model simulations D. Belikov et al. 10.1016/j.polar.2014.02.002
114. On the zero-level offset in the GOSAT TANSO-FTS O<sub>2</sub> A band and the quality of solar-induced chlorophyll fluorescence (SIF): comparison of SIF between GOSAT and OCO-2 H. Oshio et al. 10.5194/amt-12-6721-2019
115. 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
116. 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
117. 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
118. Preliminary Assessment of Methane Concentration Variation Observed by GOSAT in China X. Qin et al. 10.1155/2015/125059
119. The TanSat mission: preliminary global observations Y. Liu et al. 10.1016/j.scib.2018.08.004
120. Biogenic link to the recent increase in atmospheric methane over India A. Singh et al. 10.1016/j.jenvman.2021.112526
121. Assimilation of GOSAT Methane in the Hemispheric CMAQ; Part II: Results Using Optimal Error Statistics S. Voshtani et al. 10.3390/rs14020375
122. 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. 10.3390/rs9111102
123. 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
124. 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
125. 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
126. Impact of equatorial and continental airflow on primary greenhouse gases in the northern South China Sea C. Ou-Yang et al. 10.1088/1748-9326/10/6/065005
127. Analysis of Long-Range Transport of Carbon Dioxide and Its High Concentration Events over East Asian Region Using GOSAT Data and GEOS-Chem Modeling S. Kim et al. 10.1155/2015/680264
128. Satellite-derived methane hotspot emission estimates using a fast data-driven method M. Buchwitz et al. 10.5194/acp-17-5751-2017
129. Validation and analysis of MOPITT CO observations of the Amazon Basin M. Deeter et al. 10.5194/amt-9-3999-2016
130. Monitoring Greenhouse Gases from Space H. Boesch et al. 10.3390/rs13142700
131. Intercomparison of Remote Sensing Retrievals: An Examination of Prior-Induced Biases in Averaging Kernel Corrections H. Nguyen & J. Hobbs 10.3390/rs12193239
132. Intercomparison of XH2O Data from the GOSAT TANSO-FTS (TIR and SWIR) and Ground-Based FTS Measurements: Impact of the Spatial Variability of XH2O on the Intercomparison H. Ohyama et al. 10.3390/rs9010064
133. Global height-resolved methane retrievals from the Infrared Atmospheric Sounding Interferometer (IASI) on MetOp R. Siddans et al. 10.5194/amt-10-4135-2017
134. Comparison of XH2O Retrieved from GOSAT Short-Wavelength Infrared Spectra with Observations from the TCCON Network E. Dupuy et al. 10.3390/rs8050414
135. 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
136. Enhanced Methane Emissions during Amazonian Drought by Biomass Burning M. Saito et al. 10.1371/journal.pone.0166039
137. Large Increase in Atmospheric Methane over West Siberian Wetlands during Summer Detected from Space Y. Someya et al. 10.2151/sola.2020-027
138. 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
139. Comparative evaluation of CO2concentrations across administrative regions with temperate climates in Northeast Asia: potentials and constraints J. Um 10.1080/17583004.2015.1090057
140. Information content analysis: the potential for methane isotopologue retrieval from GOSAT-2 E. Malina et al. 10.5194/amt-11-1159-2018
141. 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
142. XCO2 retrieval algorithm in short-wave infrared spectrum and validation with TCCON data Y. Li et al. 10.1016/j.ijleo.2016.04.074
143. 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
144. Does GOSAT capture the true seasonal cycle of carbon dioxide? H. Lindqvist et al. 10.5194/acp-15-13023-2015
145. 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
146. Comparison of XCH4 Derived from g-b FTS and GOSAT and Evaluation Using Aircraft In-Situ Observations over TCCON Site S. Kenea et al. 10.1007/s13143-019-00105-0
147. 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
148. Influence of differences in current GOSATXCO2retrievals on surface flux estimation H. Takagi et al. 10.1002/2013GL059174
149. Design of a high-coverage ground-based CO2 monitoring layout using a novel information theory-based optimization model P. Bakhtiari et al. 10.1007/s10661-021-08933-2
150. 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
151. 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
152. 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
153. 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
154. Analysis of the Seasonal Variation of CO2 Concentration in China Based on GOSAT Satellite Data L. Zhang & J. Zhang 10.1007/s12524-018-0822-y
155. Inverse Modeling of CO₂ Fluxes Using GOSAT Data and Multi-Year Ground-Based Observations T. Saeki et al. 10.2151/sola.2013-011
156. A study of the validation of atmospheric CO2 from satellite hyper spectral remote sensing M. Zhang et al. 10.1016/j.accre.2014.11.002
157. 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
158. Multi-Year Comparison of Carbon Dioxide from Satellite Data with Ground-Based FTS Measurements (2003–2011) R. Miao et al. 10.3390/rs5073431
159. Impact of aerosol and thin cirrus on retrieving and validating XCO2 from GOSAT shortwave infrared measurements S. Guerlet et al. 10.1002/jgrd.50332