317 citations as recorded by crossref.

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17. Characterization and correction of spectral distortions induced by microvibrations onboard the GOSAT Fourier transform spectrometer H. Suto et al. https://doi.org/10.1364/AO.52.004969
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22. Simulation analysis of the effects of aerosol and surface albedo on the remote sensing detection of greenhouse gases in the short-wave infrared 1.6 μm M. Li et al. https://doi.org/10.54097/6epjpj62
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24. Spatiotemporal distribution patterns of atmospheric methane using GOSAT data in Iran S. Mousavi & S. Falahatkar https://doi.org/10.1007/s10668-019-00378-5
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28. Effects of spectral sampling rate and range of CO2 absorption bands on XCO2 retrieval from TanSat hyperspectral spectrometer Y. Liu et al. https://doi.org/10.1007/s11434-014-0215-8
29. Multi-observational estimation of regional and sectoral emission contributions to the persistent high growth rate of atmospheric CH4 for 2020–2022 Y. Niwa et al. https://doi.org/10.5194/acp-25-6757-2025
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35. First observations of global and seasonal terrestrial chlorophyll fluorescence from space J. Joiner et al. https://doi.org/10.5194/bg-8-637-2011
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37. Biogenic link to the recent increase in atmospheric methane over India A. Singh et al. https://doi.org/10.1016/j.jenvman.2021.112526
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39. Non-homogeneous vertical distribution of methane over Indian region using surface, aircraft and satellite based data M. Kavitha & P. Nair https://doi.org/10.1016/j.atmosenv.2016.06.068
40. Comparisons of satellite (GOSAT) and ground-based Fourier spectroscopic measurements of methane content near St. Petersburg M. Makarova et al. https://doi.org/10.1134/S0001433814090138
41. Estimating bias in the OCO-2 retrieval algorithm caused by 3-D radiation scattering from unresolved boundary layer clouds A. Merrelli et al. https://doi.org/10.5194/amt-8-1641-2015
42. Seasonal and inter-annual variability of atmosphere CO2 based on NOAA Carbon Tracker analysis and satellite observations M. Krishnapriya et al. https://doi.org/10.1007/s12524-017-0688-4
43. Anomalous carbon uptake in Australia as seen by GOSAT R. Detmers et al. https://doi.org/10.1002/2015GL065161
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45. On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases E. Malina et al. https://doi.org/10.5194/amt-15-2377-2022
46. Isolating Cabannes and rotational Raman scattering to determine forward modeling error due to Rayleigh scattering in the Earth’s atmosphere S. Sanghavi https://doi.org/10.1016/j.jqsrt.2026.110077
47. China’s sizeable and uncertain carbon sink: a perspective from GOSAT L. Zhang et al. https://doi.org/10.1007/s11434-014-0260-3
48. 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. https://doi.org/10.1155/2015/680264
49. 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. https://doi.org/10.3390/rs12152498
50. Methane Retrieval Algorithms Based on Satellite: A Review Y. Jiang et al. https://doi.org/10.3390/atmos15040449
51. Update on the GOSAT TANSO–FTS SWIR Level 2 retrieval algorithm Y. Someya et al. https://doi.org/10.5194/amt-16-1477-2023
52. An advanced retrieval algorithm for greenhouse gases using polarization information measured by GOSAT TANSO‐FTS SWIR I: Simulation study N. Kikuchi et al. https://doi.org/10.1002/2015JD024720
53. Examining the relationships between land cover and greenhouse gas concentrations using remote-sensing data in East Asia M. Guo et al. https://doi.org/10.1080/01431161.2013.775535
54. Spatiotemporal variations of atmospheric XCH4 in China based on multiple spatially continuous satellite-derived products Y. Liu et al. https://doi.org/10.1016/j.jenvman.2025.126309
55. A high-precision retrieval method for methane vertical profiles based on dual-band spectral data from the GOSAT satellite L. Li et al. https://doi.org/10.1016/j.atmosenv.2023.120183
56. First TanSat CO2 retrieval over land and ocean using both nadir and glint spectroscopy X. Hong et al. https://doi.org/10.1016/j.rse.2024.114053
57. 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. https://doi.org/10.5194/amt-9-3491-2016
58. Carbon Dioxide Retrieval from TanSat Observations and Validation with TCCON Measurements S. Wang et al. https://doi.org/10.3390/rs12142204
59. Aerosols in OCO-2/GOSAT retrievals of XCO2: An information content and error analysis S. Sanghavi et al. https://doi.org/10.1016/j.rse.2020.112053
60. Multistation intercomparison of column-averaged methane from NDACC and TCCON: impact of dynamical variability A. Ostler et al. https://doi.org/10.5194/amt-7-4081-2014
61. The Temporal and Spatial Distributions of the Near-Surface CO2 Concentrations in Central Asia and Analysis of Their Controlling Factors L. Cao et al. https://doi.org/10.3390/atmos8050085
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63. Mapping CH4 : CO2 ratios in Los Angeles with CLARS-FTS from Mount Wilson, California K. Wong et al. https://doi.org/10.5194/acp-15-241-2015
64. 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. https://doi.org/10.5194/acp-17-6663-2017
65. Aerosol scattering effects on water vapor retrievals over the Los Angeles Basin Z. Zeng et al. https://doi.org/10.5194/acp-17-2495-2017
66. Spatial distribution of greenhouse gas concentrations in arid and semi-arid regions: A case study in East Asia M. Guo et al. https://doi.org/10.1016/j.jaridenv.2013.01.001
67. Validation of TANSO-FTS/GOSAT XCO2 and XCH4 glint mode retrievals using TCCON data from near-ocean sites M. Zhou et al. https://doi.org/10.5194/amt-9-1415-2016
68. A high-accuracy method for filling voids on remotely sensed XCO2 surfaces and its verification T. Yue et al. https://doi.org/10.1016/j.jclepro.2014.08.080
69. Spectral calibration of the MethaneAIR instrument C. Staebell et al. https://doi.org/10.5194/amt-14-3737-2021
70. 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. https://doi.org/10.1080/01431161.2022.2038395
71. Factors Affecting CO2, CH4, and N2O Fluxes in Temperate Forest Soils A. Saher et al. https://doi.org/10.3390/f16111723
72. 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. https://doi.org/10.5194/acp-21-9545-2021
73. Remote sensing of near-infrared chlorophyll fluorescence from space in scattering atmospheres: implications for its retrieval and interferences with atmospheric CO2 retrievals C. Frankenberg et al. https://doi.org/10.5194/amt-5-2081-2012
74. What controls the seasonal cycle of columnar methane observed by GOSAT over different regions in India? N. Chandra et al. https://doi.org/10.5194/acp-17-12633-2017
75. Carbon emissions in the field of land use, land use change, and forestry in the Vietnam mainland L. Hung et al. https://doi.org/10.1007/s11273-021-09789-6
76. A correlation analysis of monthly mean CO2 retrieved from the Atmospheric Infrared Sounder with surface station measurements C. Zhou et al. https://doi.org/10.1080/01431161.2013.847295
77. Satellite‐derived estimations of spatial and seasonal variation in tropospheric carbon dioxide mass over China Y. Xu et al. https://doi.org/10.1002/ece3.823
78. Spatial-temporal variation in XCH4 during 2009–2021 and its driving factors across the land of the Northern Hemisphere X. Cao et al. https://doi.org/10.1016/j.atmosres.2023.106811
79. Cross-Correlation Analysis between GOSAT and CO2Concentration Observed by the KGAWC Station J. Choi et al. https://doi.org/10.7319/kogsis.2014.22.2.011
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82. 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. https://doi.org/10.5194/amt-6-387-2013
83. Stronger response of vegetation photosynthesis to climate change than greenness in pan-Arctic region: First evidence from SIF satellite observations M. Jiang et al. https://doi.org/10.1016/j.ecoinf.2025.103312
84. XCO2 satellite retrieval experiments in short-wave infrared spectrum and ground-based validation M. Zhou et al. https://doi.org/10.1007/s11430-015-5080-z
85. Carbon Monitoring Satellite (CarbonSat): assessment of atmospheric CO2 and CH4 retrieval errors by error parameterization M. Buchwitz et al. https://doi.org/10.5194/amt-6-3477-2013
86. 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. https://doi.org/10.5194/amt-9-1961-2016
87. Challenges in the atmospheric characterization for the retrieval of spectrally resolved fluorescence and PRI region dynamics from space N. Sabater et al. https://doi.org/10.1016/j.rse.2020.112226
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89. Comparison of improved Aura Tropospheric Emission Spectrometer CO2 with HIPPO and SGP aircraft profile measurements S. Kulawik et al. https://doi.org/10.5194/acp-13-3205-2013
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92. Radiative transfer modeling of atmospheric methane for satellite measurements in the 1.66 micron spectral window P. Prasad et al. https://doi.org/10.1177/0967033518783208
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100. A high-level cloud detection method utilizing the GOSAT TANSO-FTS water vapor saturated band N. Eguchi & Y. Yoshida https://doi.org/10.5194/amt-12-389-2019
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106. Characterizing the regional XCO2 variability and its association with ENSO over India inferred from GOSAT and OCO-2 satellite observations C. Das et al. https://doi.org/10.1016/j.scitotenv.2023.166176
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124. 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. https://doi.org/10.3390/rs9020183
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127. Note on rotational-Raman scattering in the O2 A- and B-bands A. Vasilkov et al. https://doi.org/10.5194/amt-6-981-2013
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129. 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. https://doi.org/10.1134/S102485601501011X
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138. 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. https://doi.org/10.1134/S0001433823020081
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