157 citations as recorded by crossref.

1. 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
2. Error Budget of the MEthane Remote LIdar missioN and Its Impact on the Uncertainties of the Global Methane Budget P. Bousquet et al. 10.1029/2018JD028907
3. Development and Validation of an End-to-End Simulator and Gas Concentration Retrieval Processor Applied to the MERLIN Lidar Mission V. Cassé et al. 10.3390/rs13142679
4. Evaluating the Ability of the Pre-Launch TanSat-2 Satellite to Quantify Urban CO2 Emissions K. Wu et al. 10.3390/rs15204904
5. CH4, CO, and H2O spectroscopy for the Sentinel-5 Precursor mission: an assessment with the Total Carbon Column Observing Network measurements A. Galli et al. 10.5194/amt-5-1387-2012
6. Spectroscopic measurements of a CO2 absorption line in an open vertical path using an airborne lidar A. Ramanathan et al. 10.1063/1.4832616
7. The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
8. TanSat Mission Achievements: from Scientific Driving to Preliminary Observations Y. LIU et al. 10.11728/cjss2018.05.627
9. Usability of optical spectrum analyzer in measuring atmospheric CO2 and CH4 column densities: inspection with FTS and aircraft profiles in situ M. Kawasaki et al. 10.5194/amt-5-2593-2012
10. Comparison of Model-simulated Atmospheric Carbon Dioxide with GOSAT Retrievals C. Shim et al. 10.5572/ajae.2011.5.4.263
11. Automated ground-based remote sensing measurements of greenhouse gases at the Białystok site in comparison with collocated in situ measurements and model data J. Messerschmidt et al. 10.5194/acp-12-6741-2012
12. 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
13. The ACOS CO2 retrieval algorithm – Part 1: Description and validation against synthetic observations C. O'Dell et al. 10.5194/amt-5-99-2012
14. Water vapor isotopologue retrievals from high-resolution GOSAT shortwave infrared spectra C. Frankenberg et al. 10.5194/amt-6-263-2013
15. 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
16. First intercalibration of column-averaged methane from the Total Carbon Column Observing Network and the Network for the Detection of Atmospheric Composition Change R. Sussmann et al. 10.5194/amt-6-397-2013
17. Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics Z. Zeng et al. 10.1080/17538947.2016.1156777
18. XCO2 retrieval algorithm in short-wave infrared spectrum and validation with TCCON data Y. Li et al. 10.1016/j.ijleo.2016.04.074
19. 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
20. The greenhouse gas observation mission with Global Observing SATellite for Greenhouse gases and Water cycle (GOSAT-GW): objectives, conceptual framework and scientific contributions H. Tanimoto et al. 10.1186/s40645-025-00684-9
21. Sensitivity studies for a space-based methane lidar mission C. Kiemle et al. 10.5194/amt-4-2195-2011
22. The Temporal and Spatial Distributions of the Near-Surface CO2 Concentrations in Central Asia and Analysis of Their Controlling Factors L. Cao et al. 10.3390/atmos8050085
23. Stable atmospheric methane in the 2000s: key-role of emissions from natural wetlands I. Pison et al. 10.5194/acp-13-11609-2013
24. 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
25. Interpreting Temporal Changes of Atmospheric CO2Over Fire Affected Regions Based on GOSAT Observations Y. Shi et al. 10.1109/LGRS.2016.2627056
26. 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
27. Study of satellite retrieved CO2 and CH4 concentration over India P. Prasad et al. 10.1016/j.asr.2014.07.021
28. Improved retrieval of gas abundances from near-infrared solar FTIR spectra measured at the Karlsruhe TCCON station M. Kiel et al. 10.5194/amt-9-669-2016
29. 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
30. Airborne measurements of atmospheric methane column abundance using a pulsed integrated-path differential absorption lidar H. Riris et al. 10.1364/AO.51.008296
31. Atmospheric column-averaged mole fractions of carbon dioxide at 53 aircraft measurement sites Y. Miyamoto et al. 10.5194/acp-13-5265-2013
32. 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
33. SCIAMACHY WFM-DOAS XCO2: comparison with CarbonTracker XCO2 focusing on aerosols and thin clouds J. Heymann et al. 10.5194/amt-5-1935-2012
34. A method for colocating satellite XCO2 data to ground-based data and its application to ACOS-GOSAT and TCCON H. Nguyen et al. 10.5194/amt-7-2631-2014
35. Influence of aerosols and thin cirrus clouds on the GOSAT-observed CO2: a case study over Tsukuba O. Uchino et al. 10.5194/acp-12-3393-2012
36. Impact of Aerosol Property on the Accuracy of a CO2 Retrieval Algorithm from Satellite Remote Sensing Y. Jung et al. 10.3390/rs8040322
37. Research Progress of Atmospheric CO2Monitoring by Satellite Remote Sensing R. Gao 10.1088/1742-6596/2386/1/012028
38. 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
39. Evaluation of seasonal atmosphere–biosphere exchange estimations with TCCON measurements J. Messerschmidt et al. 10.5194/acp-13-5103-2013
40. Consistent evaluation of ACOS-GOSAT, BESD-SCIAMACHY, CarbonTracker, and MACC through comparisons to TCCON S. Kulawik et al. 10.5194/amt-9-683-2016
41. NanoCarb hyperspectral sensor: on performance optimization and analysis for greenhouse gas monitoring from a constellation of small satellites S. Gousset et al. 10.1007/s12567-019-00273-9
42. Intercomparison of Carbon Dioxide Products Retrieved from GOSAT Short-Wavelength Infrared Spectra for Three Years (2010–2012) A. Deng et al. 10.3390/atmos7090109
43. Multi‐Order Carbon Spectral Imager: A Sensor Concept for Carbon Cycle Investigations J. Hall et al. 10.1029/2018EA000419
44. Calibration of the Greenhouse Gas Monitoring Instrument (GMI) Based on a Digital Calibration Field Network H. Shi et al. 10.3390/rs15020373
45. CO2 retrieval model and analysis in short-wave infrared spectrum Y. Li et al. 10.1016/j.ijleo.2016.01.144
46. Validation of XCO2 derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data M. Inoue et al. 10.5194/acp-13-9771-2013
47. Precise methane absorption measurements in the 1.64 μm spectral region for the MERLIN mission T. Delahaye et al. 10.1002/2016JD025024
48. Development of a balloon-borne instrument for CO2 vertical profile observations in the troposphere M. Ouchi et al. 10.5194/amt-12-5639-2019
49. On the Benefit of GOSAT Observations to the Estimation of Regional CO₂ Fluxes H. Takagi et al. 10.2151/sola.2011-041
50. Comparison of Satellite-Observed XCO2 from GOSAT, OCO-2, and Ground-Based TCCON A. Liang et al. 10.3390/rs9101033
51. The CHRONOS mission: capability for sub-hourly synoptic observations of carbon monoxide and methane to quantify emissions and transport of air pollution D. Edwards et al. 10.5194/amt-11-1061-2018
52. Multispectral information from TANSO-FTS instrument – Part 1: Application to greenhouse gases (CO2 and CH4) in clear sky conditions H. Herbin et al. 10.5194/amt-6-3301-2013
53. Impact of CO2measurement bias on CarbonTracker surface flux estimates K. Masarie et al. 10.1029/2011JD016270
54. Drivers of column-average CO2 variability at Southern Hemispheric Total Carbon Column Observing Network sites N. Deutscher et al. 10.5194/acp-14-9883-2014
55. Satellite and ground-based measurements of XCO2 in a remote semiarid region of Australia V. Velazco et al. 10.5194/essd-11-935-2019
56. Improved calibration procedures for the EM27/SUN spectrometers of the COllaborative Carbon Column Observing Network (COCCON) C. Alberti et al. 10.5194/amt-15-2433-2022
57. Comparison of GOSAT SWIR and Aircraft Measurements of XCH₄ over West Siberia A. Ono et al. 10.2151/sola.2015-036
58. On-line wavenumber optimization for a ground-based CH4-DIAL X. Ma et al. 10.1016/j.jqsrt.2019.03.013
59. Improvement of the retrieval algorithm for GOSAT SWIR XCO2 and XCH4 and their validation using TCCON data Y. Yoshida et al. 10.5194/amt-6-1533-2013
60. The amplitude of the CO2 seasonal cycle in the atmosphere of the Ural region retrieved from ground-based and satellite near-IR measurements N. Rokotyan et al. 10.1134/S102485601501011X
61. Assessment of seasonal variations of carbon dioxide concentration in Iran using GOSAT data S. Mousavi et al. 10.1111/1477-8947.12121
62. Global Atmospheric CO2 Concentrations Simulated by GEOS-Chem: Comparison with GOSAT, Carbon Tracker and Ground-Based Measurements Y. Jing et al. 10.3390/atmos9050175
63. Emissions of methane from coal fields, thermal power plants, and wetlands and their implications for atmospheric methane across the south Asian region M. Dangeti et al. 10.5194/acp-24-12843-2024
64. Calibration of column-averaged CH4 over European TCCON FTS sites with airborne in-situ measurements M. Geibel et al. 10.5194/acp-12-8763-2012
65. Comparisons between XCH₄ from GOSAT Shortwave and Thermal Infrared Spectra and Aircraft CH₄ Measurements over Guam N. Saitoh et al. 10.2151/sola.2012-036
66. Spectral modelling near the 1.6μm window for satellite based estimation of CO2 P. Prasad et al. 10.1016/j.saa.2013.08.035
67. Inverse Modeling of CO₂ Fluxes Using GOSAT Data and Multi-Year Ground-Based Observations T. Saeki et al. 10.2151/sola.2013-011
68. Multivariate Spatial Data Fusion for Very Large Remote Sensing Datasets H. Nguyen et al. 10.3390/rs9020142
69. Calibration and instrumental line shape characterization of a set of portable FTIR spectrometers for detecting greenhouse gas emissions M. Frey et al. 10.5194/amt-8-3047-2015
70. TCCON Philippines: First Measurement Results, Satellite Data and Model Comparisons in Southeast Asia V. Velazco et al. 10.3390/rs9121228
71. Validation of Column-Averaged Dry-Air Mole Fraction of CO2 Retrieved from OCO-2 Using Ground-Based FTS Measurements Y. Bi et al. 10.1007/s13351-018-7118-6
72. Photon-counting distributed free-space spectroscopy S. Yu et al. 10.1038/s41377-021-00650-2
73. Spatiotemporal distribution patterns of atmospheric methane using GOSAT data in Iran S. Mousavi & S. Falahatkar 10.1007/s10668-019-00378-5
74. Three decades of global methane sources and sinks S. Kirschke et al. 10.1038/ngeo1955
75. Ground-based measurements of atmospheric NH3 by Fourier transform infrared spectrometry at Hefei and comparisons with IASI data W. Wang et al. 10.1016/j.atmosenv.2022.119256
76. SCIAMACHY WFM-DOAS XCO2: reduction of scattering related errors J. Heymann et al. 10.5194/amt-5-2375-2012
77. 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
78. Partial CO2 Column-Averaged Dry-Air Mixing Ratio from Measurements by Coherent 2-μm Differential Absorption and Wind Lidar with Laser Frequency Offset Locking S. Ishii et al. 10.1175/JTECH-D-11-00180.1
79. Evaluating Radiometric Responsivity Degradations of TANSO-FTS/GOSAT Using Principal Component Analysis Y. Someya & Y. Yoshida 10.1175/JTECH-D-19-0224.1
80. Spatial and temporal change patterns of near-surface CO2 and CH4 concentrations in different permafrost regions on the Mongolian Plateau from 2010 to 2017 S. Adiya et al. 10.1016/j.scitotenv.2021.149433
81. High resolution spectroscopy and the first global analysis of the Tetradecad region of methane 12CH4 A. Nikitin et al. 10.1039/c3cp50799h
82. Modification of Fraser’s Method for the Atmospheric CO2 Mass Estimation by Using Satellite Data M. Pellegrini et al. 10.3390/atmos13060866
83. Comparison of Column-Averaged Volume Mixing Ratios of Carbon Dioxide Retrieved From IASI/METOP-A Using KLIMA Algorithm and TANSO-FTS/GOSAT Level 2 Products L. Laurenza et al. 10.1109/JSTARS.2013.2276125
84. Validation of XCH4 derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data M. Inoue et al. 10.5194/amt-7-2987-2014
85. Validation of TES ammonia observations at the single pixel scale in the San Joaquin Valley during DISCOVER‐AQ K. Sun et al. 10.1002/2014JD022846
86. Toward accurate CO2and CH4observations from GOSAT A. Butz et al. 10.1029/2011GL047888
87. Spatiotemporal Variations of XCH4 across China during 2003–2021 Based on Observations from Multiple Satellites J. Qin et al. 10.3390/atmos13091362
88. Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
89. Atmospheric CO2retrieval from satellite spectral measurements by a two-step machine learning approach Z. Zhao et al. 10.1016/j.jqsrt.2021.108006
90. Impacts of different biomass burning emission inventories: Simulations of atmospheric CO2 concentrations based on GEOS-Chem M. Su et al. 10.1016/j.scitotenv.2023.162825
91. 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
92. Validation of TES methane with HIPPO aircraft observations: implications for inverse modeling of methane sources K. Wecht et al. 10.5194/acp-12-1823-2012
93. Evaluation of Bias Correction Methods for GOSAT SWIR XH2O Using TCCON data T. Trieu et al. 10.3390/rs11030290
94. Retrievals of Total and Tropospheric Ozone From GOSAT Thermal Infrared Spectral Radiances H. Ohyama et al. 10.1109/TGRS.2011.2170178
95. China’s sizeable and uncertain carbon sink: a perspective from GOSAT L. Zhang et al. 10.1007/s11434-014-0260-3
96. 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
97. Comparisons of satellite (GOSAT) and ground-based Fourier spectroscopic measurements of methane content near St. Petersburg M. Makarova et al. 10.1134/S0001433814090138
98. Observation of CO2 Regional Distribution Using an Airborne Infrared Remote Sensing Spectrometer (Air-IRSS) in the North China Plain R. Wang et al. 10.3390/rs11020123
99. 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
100. Comparisons of CH4 ground-based FTIR measurements near Saint Petersburg with GOSAT observations N. Gavrilov et al. 10.5194/amt-7-1003-2014
101. Multi-Year Comparison of Carbon Dioxide from Satellite Data with Ground-Based FTS Measurements (2003–2011) R. Miao et al. 10.3390/rs5073431
102. Building the COllaborative Carbon Column Observing Network (COCCON): long-term stability and ensemble performance of the EM27/SUN Fourier transform spectrometer M. Frey et al. 10.5194/amt-12-1513-2019
103. 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
104. Technical Note: Latitude-time variations of atmospheric column-average dry air mole fractions of CO2, CH4 and N2O R. Saito et al. 10.5194/acp-12-7767-2012
105. Local and regional enhancements of CH4, CO, and CO2 inferred from TCCON column measurements K. Mottungan et al. 10.5194/amt-17-5861-2024
106. Calibration of TCCON column-averaged CO2: the first aircraft campaign over European TCCON sites J. Messerschmidt et al. 10.5194/acp-11-10765-2011
107. MERLIN: A French-German Space Lidar Mission Dedicated to Atmospheric Methane G. Ehret et al. 10.3390/rs9101052
108. 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
109. 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
110. 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
111. Strategy for high-accuracy-and-precision retrieval of atmospheric methane from the mid-infrared FTIR network R. Sussmann et al. 10.5194/amt-4-1943-2011
112. Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. 10.1029/2019JD030528
113. 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
114. Observations of XCO2 and XCH4 with ground-based high-resolution FTS at Saga, Japan, and comparisons with GOSAT products H. Ohyama et al. 10.5194/amt-8-5263-2015
115. 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
116. A method for evaluating bias in global measurements of CO2 total columns from space D. Wunch et al. 10.5194/acp-11-12317-2011
117. Methane cross-validation between three Fourier transform spectrometers: SCISAT ACE-FTS, GOSAT TANSO-FTS, and ground-based FTS measurements in the Canadian high Arctic G. Holl et al. 10.5194/amt-9-1961-2016
118. The impact of spectral resolution on satellite retrieval accuracy of CO2 and CH4 A. Galli et al. 10.5194/amt-7-1105-2014
119. 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
120. Regional CO2 flux estimates for 2009–2010 based on GOSAT and ground-based CO2 observations S. Maksyutov et al. 10.5194/acp-13-9351-2013
121. Comparisons of satellite (GOSAT) and ground-based spectroscopic measurements of CO2 content near St. Petersburg N. Gavrilov & Y. Timofeev 10.1134/S0001433814090084
122. The increasing atmospheric CO2 over India: Comparison to global trends J. Kuttippurath et al. 10.1016/j.isci.2022.104863
123. Pressure broadening of oxygen by water B. Drouin et al. 10.1016/j.jqsrt.2013.08.001
124. Comparison of XH2O Retrieved from GOSAT Short-Wavelength Infrared Spectra with Observations from the TCCON Network E. Dupuy et al. 10.3390/rs8050414
125. Analysis on the variations of atmospheric CO2 concentrations along the urban–rural gradients of Chinese cities based on the OCO-2 XCO2 data S. Lu et al. 10.1080/01431161.2017.1415482
126. On recent (2008–2012) stratospheric aerosols observed by lidar over Japan O. Uchino et al. 10.5194/acp-12-11975-2012
127. Decadal variations in CO2 during agricultural seasons in India and role of management as sustainable approach A. Singh et al. 10.1016/j.eti.2022.102498
128. Anthropogenic CO2 monitoring satellite mission: the need for multi-angle polarimetric observations S. Rusli et al. 10.5194/amt-14-1167-2021
129. Spatio-Temporal Data Fusion for Very Large Remote Sensing Datasets H. Nguyen et al. 10.1080/00401706.2013.831774
130. Investigation of the consistency of atmospheric CO2 retrievals from different space-based sensors: Intercomparison and spatiotemporal analysis T. Wang et al. 10.1007/s11434-013-5996-7
131. Does GOSAT capture the true seasonal cycle of carbon dioxide? H. Lindqvist et al. 10.5194/acp-15-13023-2015
132. An airborne amplitude-modulated 1.57 μm differential laser absorption spectrometer: simultaneous measurement of partial column-averaged dry air mixing ratio of CO2 and target range D. Sakaizawa et al. 10.5194/amt-6-387-2013
133. Mapping Global Atmospheric CO2 Concentration at High Spatiotemporal Resolution Y. Jing et al. 10.3390/atmos5040870
134. 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
135. Intercomparison of in situ NDIR and column FTIR measurements of CO2 at Jungfraujoch M. Schibig et al. 10.5194/acp-16-9935-2016
136. Evaluating high-resolution forecasts of atmospheric CO and CO2 from a global prediction system during KORUS-AQ field campaign W. Tang et al. 10.5194/acp-18-11007-2018
137. Temperature dependence of the absorption of the R(6) manifold of the 2ν3 band of methane in air in support of the MERLIN mission S. Vasilchenko et al. 10.1016/j.jqsrt.2023.108483
138. Challenges in Methane Column Retrievals from AVIRIS-NG Imagery over Spectrally Cluttered Surfaces: A Sensitivity Analysis M. Zhang et al. 10.3390/rs9080835
139. Investigating the performance of a greenhouse gas observatory in Hefei, China W. Wang et al. 10.5194/amt-10-2627-2017
140. 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
141. Simulations of column-averaged CO2 and CH4 using the NIES TM with a hybrid sigma-isentropic (σ-θ) vertical coordinate D. Belikov et al. 10.5194/acp-13-1713-2013
142. CO 2 line-mixing database and software update and its tests in the 2.1 μm and 4.3 μm regions J. Lamouroux et al. 10.1016/j.jqsrt.2014.09.017
143. Aircraft measurements of carbon dioxide and methane for the calibration of ground-based high-resolution Fourier Transform Spectrometers and a comparison to GOSAT data measured over Tsukuba and Moshiri T. Tanaka et al. 10.5194/amt-5-2003-2012
144. 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
145. Spatial Distribution of Multi-Fractal Scaling Behaviours of Atmospheric XCO2 Concentration Time Series during 2010–2018 over China Y. Ma et al. 10.3390/e24060817
146. 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
147. 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
148. 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
149. Effects of atmospheric light scattering on spectroscopic observations of greenhouse gases from space. Part 2: Algorithm intercomparison in the GOSAT data processing for CO2 retrievals over TCCON sites S. Oshchepkov et al. 10.1002/jgrd.50146
150. On the performance of satellite-based observations of XCO2 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
151. The TanSat mission: preliminary global observations Y. Liu et al. 10.1016/j.scib.2018.08.004
152. Multistation intercomparison of column-averaged methane from NDACC and TCCON: impact of dynamical variability A. Ostler et al. 10.5194/amt-7-4081-2014
153. Methane retrieval from Atmospheric Infrared Sounder using EOF-based regression algorithm and its validation Y. Zhang et al. 10.1007/s11434-014-0232-7
154. A Comparison of <italic>In Situ</italic> Aircraft Measurements of Carbon Dioxide and Methane to GOSAT Data Measured Over Railroad Valley Playa, Nevada, USA J. Tadic et al. 10.1109/TGRS.2014.2318201
155. Spectroscopic factors, influencing the accuracy of the atmospheric radiative transfer simulation in the methane absorption bands in the near infrared region T. Chesnokova 10.1134/S1024856013050060
156. Retrieval algorithm for CO2 and CH4 column abundances from short-wavelength infrared spectral observations by the Greenhouse gases observing satellite Y. Yoshida et al. 10.5194/amt-4-717-2011
157. Estimation of Direct Radiative Effects of Background and Smoke Aerosol in the IR Spectral Region for Siberian Summer Conditions I. Nasrtdinov et al. 10.1134/S1024856018030090