284 citations as recorded by crossref.

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2. Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation K. Hu et al. 10.3390/rs16183394
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4. Geostatistical Analysis of CH4 Columns over Monsoon Asia Using Five Years of GOSAT Observations M. Liu et al. 10.3390/rs8050361
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8. A retrieval algorithm for TanSat XCO2 observation: Retrieval experiments using GOSAT data Y. Liu et al. 10.1007/s11434-013-5680-y
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11. HDO/H<sub>2</sub>O ratio retrievals from GOSAT H. Boesch et al. 10.5194/amt-6-599-2013
12. High resolution temporal profiles in the Emissions Database for Global Atmospheric Research M. Crippa et al. 10.1038/s41597-020-0462-2
13. 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
14. The ACOS CO<sub>2</sub> retrieval algorithm – Part II: Global X<sub>CO<sub>2</sub></sub> data characterization D. Crisp et al. 10.5194/amt-5-687-2012
15. Characterization and correction of spectral distortions induced by microvibrations onboard the GOSAT Fourier transform spectrometer H. Suto et al. 10.1364/AO.52.004969
16. Short-Wave Infrared-Sensing Organic Phototransistors with a Triarylamine-Based Polymer Doped with a Lewis Acid-Type Small Molecule C. Lee et al. 10.1021/acsami.1c00472
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18. Slowdown in China's methane emission growth M. Zhao et al. 10.1093/nsr/nwae223
19. Simulated retrievals for the remote sensing of CO2, CH4, CO, and H2O from geostationary orbit X. Xi et al. 10.5194/amt-8-4817-2015
20. Spatiotemporal distribution patterns of atmospheric methane using GOSAT data in Iran S. Mousavi & S. Falahatkar 10.1007/s10668-019-00378-5
21. 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
22. Regional Trends and Spatial Gradients of Total Column Methane over India, China, and USA─Implications for Emissions from Coal Mining and Oil/Gas Exploitation . Deepshikha et al. 10.1021/acs.est.4c06201
23. Effects of spectral sampling rate and range of CO2 absorption bands on XCO2 retrieval from TanSat hyperspectral spectrometer Y. Liu et al. 10.1007/s11434-014-0215-8
24. A segmentation algorithm for characterizing rise and fall segments in seasonal cycles: an application to XCO2 to estimate benchmarks and assess model bias L. Calle et al. 10.5194/amt-12-2611-2019
25. Region-dependent seasonal pattern of methane over Indian region as observed by SCIAMACHY M. Kavitha & P. Nair 10.1016/j.atmosenv.2016.02.008
26. Greenhouse gas measurements over a 144 km open path in the Canary Islands J. Brooke et al. 10.5194/amt-5-2309-2012
27. Monitoring Greenhouse Gases in the Open Atmosphere by the Fourier Spectroscopy Method I. Golyak et al. 10.1134/S1990793123020264
28. The Adaptable 4A Inversion (5AI): description and first XCO2 retrievals from Orbiting Carbon Observatory-2 (OCO-2) observations M. Dogniaux et al. 10.5194/amt-14-4689-2021
29. Biogenic link to the recent increase in atmospheric methane over India A. Singh et al. 10.1016/j.jenvman.2021.112526
30. 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
31. Non-homogeneous vertical distribution of methane over Indian region using surface, aircraft and satellite based data M. Kavitha & P. Nair 10.1016/j.atmosenv.2016.06.068
32. Comparisons of satellite (GOSAT) and ground-based Fourier spectroscopic measurements of methane content near St. Petersburg M. Makarova et al. 10.1134/S0001433814090138
33. Estimating bias in the OCO-2 retrieval algorithm caused by 3-D radiation scattering from unresolved boundary layer clouds A. Merrelli et al. 10.5194/amt-8-1641-2015
34. Seasonal and inter-annual variability of atmosphere CO2 based on NOAA Carbon Tracker analysis and satellite observations M. Krishnapriya et al. 10.1007/s12524-017-0688-4
35. Anomalous carbon uptake in Australia as seen by GOSAT R. Detmers et al. 10.1002/2015GL065161
36. 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
37. China’s sizeable and uncertain carbon sink: a perspective from GOSAT L. Zhang et al. 10.1007/s11434-014-0260-3
38. 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
39. Multi-Year Comparison of CO2 Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia F. Mustafa et al. 10.3390/rs12152498
40. Methane Retrieval Algorithms Based on Satellite: A Review Y. Jiang et al. 10.3390/atmos15040449
41. Update on the GOSAT TANSO–FTS SWIR Level 2 retrieval algorithm Y. Someya et al. 10.5194/amt-16-1477-2023
42. 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
43. Examining the relationships between land cover and greenhouse gas concentrations using remote-sensing data in East Asia M. Guo et al. 10.1080/01431161.2013.775535
44. 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
45. First TanSat CO2 retrieval over land and ocean using both nadir and glint spectroscopy X. Hong et al. 10.1016/j.rse.2024.114053
46. 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
47. Carbon Dioxide Retrieval from TanSat Observations and Validation with TCCON Measurements S. Wang et al. 10.3390/rs12142204
48. Aerosols in OCO-2/GOSAT retrievals of XCO2: An information content and error analysis S. Sanghavi et al. 10.1016/j.rse.2020.112053
49. Multistation intercomparison of column-averaged methane from NDACC and TCCON: impact of dynamical variability A. Ostler et al. 10.5194/amt-7-4081-2014
50. 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
51. Mapping CH4 : CO2 ratios in Los Angeles with CLARS-FTS from Mount Wilson, California K. Wong et al. 10.5194/acp-15-241-2015
52. Extending methane profiles from aircraft into the stratosphere for satellite total column validation using the ECMWF C-IFS and TOMCAT/SLIMCAT 3-D model S. Verma et al. 10.5194/acp-17-6663-2017
53. Aerosol scattering effects on water vapor retrievals over the Los Angeles Basin Z. Zeng et al. 10.5194/acp-17-2495-2017
54. Spatial distribution of greenhouse gas concentrations in arid and semi-arid regions: A case study in East Asia M. Guo et al. 10.1016/j.jaridenv.2013.01.001
55. Validation of TANSO-FTS/GOSAT XCO2 and XCH4 glint mode retrievals using TCCON data from near-ocean sites M. Zhou et al. 10.5194/amt-9-1415-2016
56. A high-accuracy method for filling voids on remotely sensed XCO2 surfaces and its verification T. Yue et al. 10.1016/j.jclepro.2014.08.080
57. Spectral calibration of the MethaneAIR instrument C. Staebell et al. 10.5194/amt-14-3737-2021
58. 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
59. Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH4 data with weak-constraint four-dimensional variational data assimilation I. Stanevich et al. 10.5194/acp-21-9545-2021
60. Remote sensing of near-infrared chlorophyll fluorescence from space in scattering atmospheres: implications for its retrieval and interferences with atmospheric CO<sub>2</sub> retrievals C. Frankenberg et al. 10.5194/amt-5-2081-2012
61. 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
62. Carbon emissions in the field of land use, land use change, and forestry in the Vietnam mainland L. Hung et al. 10.1007/s11273-021-09789-6
63. A correlation analysis of monthly mean CO2 retrieved from the Atmospheric Infrared Sounder with surface station measurements C. Zhou et al. 10.1080/01431161.2013.847295
64. Satellite‐derived estimations of spatial and seasonal variation in tropospheric carbon dioxide mass over China Y. Xu et al. 10.1002/ece3.823
65. Spatial-temporal variation in XCH4 during 2009–2021 and its driving factors across the land of the Northern Hemisphere X. Cao et al. 10.1016/j.atmosres.2023.106811
66. Cross-Correlation Analysis between GOSAT and CO2Concentration Observed by the KGAWC Station J. Choi et al. 10.7319/kogsis.2014.22.2.011
67. An airborne amplitude-modulated 1.57 μm differential laser absorption spectrometer: simultaneous measurement of partial column-averaged dry air mixing ratio of CO<sub>2</sub> and target range D. Sakaizawa et al. 10.5194/amt-6-387-2013
68. XCO2 satellite retrieval experiments in short-wave infrared spectrum and ground-based validation M. Zhou et al. 10.1007/s11430-015-5080-z
69. 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
70. 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
71. Challenges in the atmospheric characterization for the retrieval of spectrally resolved fluorescence and PRI region dynamics from space N. Sabater et al. 10.1016/j.rse.2020.112226
72. Comparison of improved Aura Tropospheric Emission Spectrometer CO<sub>2</sub> with HIPPO and SGP aircraft profile measurements S. Kulawik et al. 10.5194/acp-13-3205-2013
73. A semitransparent snake-like tactile and olfactory bionic sensor with reversibly stretchable properties G. Cai et al. 10.1038/am.2017.181
74. On recent (2008–2012) stratospheric aerosols observed by lidar over Japan O. Uchino et al. 10.5194/acp-12-11975-2012
75. Radiative transfer modeling of atmospheric methane for satellite measurements in the 1.66 micron spectral window P. Prasad et al. 10.1177/0967033518783208
76. Level 1 algorithms for TANSO on GOSAT: processing and on-orbit calibrations A. Kuze et al. 10.5194/amt-5-2447-2012
77. Airborne measurements of atmospheric methane column abundance using a pulsed integrated-path differential absorption lidar H. Riris et al. 10.1364/AO.51.008296
78. A study of synthetic 13CH4 retrievals from TROPOMI and Sentinel-5/UVNS E. Malina et al. 10.5194/amt-12-6273-2019
79. Atmospheric CO2 column concentration over Iran: Emissions, GOSAT satellite observations, and WRF-GHG model simulations S. Karbasi et al. 10.1016/j.atmosres.2024.107818
80. A new approach to spectral line shapes of the weak oxygen transitions for atmospheric applications J. Domysławska et al. 10.1016/j.jqsrt.2015.10.019
81. A joint effort to deliver satellite retrieved atmospheric CO<sub>2</sub> concentrations for surface flux inversions: the ensemble median algorithm EMMA M. Reuter et al. 10.5194/acp-13-1771-2013
82. Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved from GOSAT Spectra H. Oshio et al. 10.3390/rs12193155
83. Radiometric Comparison of 1.6-μm CO2 Absorption Band of Greenhouse Gases Observing Satellite (GOSAT) TANSO-FTS with Suomi-NPP VIIRS SWIR Band S. Uprety & C. Cao 10.1175/JTECH-D-15-0157.1
84. A high-level cloud detection method utilizing the GOSAT TANSO-FTS water vapor saturated band N. Eguchi & Y. Yoshida 10.5194/amt-12-389-2019
85. 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
86. 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
87. 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
88. Мониторинг парниковых газов в открытой атмосфере методом фурье-спектроскопии И. Голяк et al. 10.31857/S0207401X23040088
89. Characterizing the regional XCO2 variability and its association with ENSO over India inferred from GOSAT and OCO-2 satellite observations C. Das et al. 10.1016/j.scitotenv.2023.166176
90. The status and development proposal of carbon sources and sinks monitoring satellite system G. Meng et al. 10.1007/s43979-022-00033-5
91. Airborne Measurements of CO2 Column Concentration and Range Using a Pulsed Direct-Detection IPDA Lidar J. Abshire et al. 10.3390/rs6010443
92. Estimating CO2 concentration during the growing season from MODIS and GOSAT in East Asia M. Guo et al. 10.1080/01431161.2015.1081305
93. Global Atmospheric CO2 Concentrations Simulated by GEOS-Chem: Comparison with GOSAT, Carbon Tracker and Ground-Based Measurements Y. Jing et al. 10.3390/atmos9050175
94. Comparison of XH2O Retrieved from GOSAT Short-Wavelength Infrared Spectra with Observations from the TCCON Network E. Dupuy et al. 10.3390/rs8050414
95. Effect of air composition (N<sub>2</sub>, O<sub>2</sub>, Ar, and H<sub>2</sub>O) on CO<sub>2</sub> and CH<sub>4</sub> measurement by wavelength-scanned cavity ring-down spectroscopy: calibration and measurement strategy H. Nara et al. 10.5194/amt-5-2689-2012
96. Comparison of Atmospheric Carbon Dioxide Concentration Trend and Accuracy from GOSAT and AIRS data over the Korean Peninsula S. Lee et al. 10.7780/kjrs.2015.31.6.5
97. Spatial and Temporal Distributions of Atmospheric CO2 in East China Based on Data from Three Satellites B. Li et al. 10.1007/s00376-020-0123-6
98. Spatial analysis of resources and environmental carrying capacity in Iran H. Karami et al. 10.1111/1477-8947.12270
99. Remote sensing of angular scattering effect of aerosols in a North American megacity Z. Zeng et al. 10.1016/j.rse.2020.111760
100. A long-term global XCO2 dataset: Ensemble of satellite products C. Jin et al. 10.1016/j.atmosres.2022.106385
101. Instrument Performance Analysis for Methane Point Source Retrieval and Estimation Using Remote Sensing Technique Y. Jiang et al. 10.3390/rs17040634
102. Inverse Modeling of CO₂ Fluxes Using GOSAT Data and Multi-Year Ground-Based Observations T. Saeki et al. 10.2151/sola.2013-011
103. TransCom model simulations of CH<sub>4</sub> and related species: linking transport, surface flux and chemical loss with CH<sub>4</sub> variability in the troposphere and lower stratosphere P. Patra et al. 10.5194/acp-11-12813-2011
104. Aerosol Retrieval Sensitivity and Error Analysis for the Cloud and Aerosol Polarimetric Imager on Board TanSat: The Effect of Multi-Angle Measurement X. Chen et al. 10.3390/rs9020183
105. Information content analysis: the potential for methane isotopologue retrieval from GOSAT-2 E. Malina et al. 10.5194/amt-11-1159-2018
106. Retrieval of solar-induced chlorophyll fluorescence (SIF) from satellite measurements: comparison of SIF between TanSat and OCO-2 L. Yao et al. 10.5194/amt-15-2125-2022
107. Note on rotational-Raman scattering in the O<sub>2</sub> A- and B-bands A. Vasilkov et al. 10.5194/amt-6-981-2013
108. 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
109. 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
110. Assessing accuracy and precision for space‐based measurements of carbon dioxide: An associated statistical methodology revisited Z. Su et al. 10.1002/2016EA000228
111. Retrieval and Validation of XCO2 from TanSat Target Mode Observations in Beijing Z. Bao et al. 10.3390/rs12183063
112. 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
113. Testing the Polarization Model for TANSO-FTS on GOSAT Against Clear-Sky Observations of Sun Glint Over the Ocean D. O'Brien et al. 10.1109/TGRS.2012.2232673
114. Carbon Dioxide and Methane at a Desert Site—A Case Study at Railroad Valley Playa, Nevada, USA E. Yates et al. 10.3390/atmos2040702
115. Methane retrievals from Greenhouse Gases Observing Satellite (GOSAT) shortwave infrared measurements: Performance comparison of proxy and physics retrieval algorithms D. Schepers et al. 10.1029/2012JD017549
116. The ACOS CO<sub>2</sub> retrieval algorithm – Part 1: Description and validation against synthetic observations C. O'Dell et al. 10.5194/amt-5-99-2012
117. Variations in Surface Concentrations and Total Column of CO2 and CH4 in the Central Part of the European Territory of Russia K. Visheratin et al. 10.1134/S0001433823020081
118. 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
119. The Global Spatiotemporal Distribution of the Mid-Tropospheric CO2 Concentration and Analysis of the Controlling Factors L. Cao et al. 10.3390/rs11010094
120. Evidence of Carbon Uptake Associated with Vegetation Greening Trends in Eastern China Z. He et al. 10.3390/rs12040718
121. New approach to evaluate satellite-derived XCO2 over oceans by integrating ship and aircraft observations A. Müller et al. 10.5194/acp-21-8255-2021
122. 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
123. First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer B. Kim et al. 10.5194/amt-17-453-2024
124. Industrial Plume Properties Retrieved by Optimal Estimation Using Combined Hyperspectral and Sentinel-2 Data G. Calassou et al. 10.3390/rs13101865
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130. 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
131. Intercomparison of Carbon Dioxide Products Retrieved from GOSAT Short-Wavelength Infrared Spectra for Three Years (2010–2012) A. Deng et al. 10.3390/atmos7090109
132. 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
133. 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
134. Comparison of carbon dioxide volume mixing ratios measured by GOSAT TANSO-FTS and TCCON over two sites in East Asia H. Hong et al. 10.7780/kjrs.2013.29.6.8
135. CO2 retrieval model and analysis in short-wave infrared spectrum Y. Li et al. 10.1016/j.ijleo.2016.01.144
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137. 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
138. Analysis of XCO2 retrieval sensitivity using simulated Chinese Carbon Satellite (TanSat) measurements Z. Cai et al. 10.1007/s11430-013-4707-1
139. Atmospheric column-averaged mole fractions of carbon dioxide at 53 aircraft measurement sites Y. Miyamoto et al. 10.5194/acp-13-5265-2013
140. Interpreting Temporal Changes of Atmospheric CO2Over Fire Affected Regions Based on GOSAT Observations Y. Shi et al. 10.1109/LGRS.2016.2627056
141. 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
142. 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
143. Hyperspectral radiative transfer modeling to explore the combined retrieval of biophysical parameters and canopy fluorescence from FLEX – Sentinel-3 tandem mission multi-sensor data W. Verhoef et al. 10.1016/j.rse.2017.08.006
144. Modelling of XCO2 Surfaces Based on Flight Tests of TanSat Instruments L. Zhang et al. 10.3390/s16111818
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146. Inverse modeling of GOSAT-retrieved ratios of total column CH4 and CO2 for 2009 and 2010 S. Pandey et al. 10.5194/acp-16-5043-2016
147. The need for urban form data in spatial modeling of urban carbon emissions in China: A critical review M. Cai et al. 10.1016/j.jclepro.2021.128792
148. Retrieving XCO2 from GOSAT FTS over East Asia Using Simultaneous Aerosol Information from CAI W. Kim et al. 10.3390/rs8120994
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156. 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
157. Improvement of the retrieval algorithm for GOSAT SWIR XCO&lt;sub&gt;2&lt;/sub&gt; and XCH&lt;sub&gt;4&lt;/sub&gt; and their validation using TCCON data Y. Yoshida et al. 10.5194/amt-6-1533-2013
158. Greenhouse gas emissions from soils—A review C. Oertel et al. 10.1016/j.chemer.2016.04.002
159. Comparison of GOSAT SWIR and Aircraft Measurements of XCH₄ over West Siberia A. Ono et al. 10.2151/sola.2015-036
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161. Bias assessment of lower and middle tropospheric CO2 concentrations of GOSAT/TANSO-FTS TIR version 1 product N. Saitoh et al. 10.5194/amt-10-3877-2017
162. A Coupled BRDF CO2 Retrieval Method for the GF-5 GMI and Improvements in the Correction of Atmospheric Scattering H. Ye et al. 10.3390/rs14030488
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