118 citations as recorded by crossref.

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2. How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. 10.1029/2021RG000736
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4. Global distribution of methane emissions, emission trends, and OH concentrations and trends inferred from an inversion of GOSAT satellite data for 2010–2015 J. Maasakkers et al. 10.5194/acp-19-7859-2019
5. Thermal and near-infrared sensor for carbon observation Fourier transform spectrometer-2 (TANSO-FTS-2) on the Greenhouse gases Observing SATellite-2 (GOSAT-2) during its first year in orbit H. Suto et al. 10.5194/amt-14-2013-2021
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14. Country-Scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations R. Janardanan et al. 10.3390/rs12030375
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23. 100 Years of Progress in Gas-Phase Atmospheric Chemistry Research T. Wallington et al. 10.1175/AMSMONOGRAPHS-D-18-0008.1
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25. A review of datasets and methods for deriving spatiotemporal distributions of atmospheric CO2 C. He et al. 10.1016/j.jenvman.2022.116101
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29. Potential of Spaceborne Lidar Measurements of Carbon Dioxide and Methane Emissions from Strong Point Sources C. Kiemle et al. 10.3390/rs9111137
30. Emissions and topographic effects on column CO2 () variations, with a focus on the Southern California Megacity J. Hedelius et al. 10.1002/2017JD026455
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34. Atmospheric ammonia retrieval from the TANSO-FTS/GOSAT thermal infrared sounder Y. Someya et al. 10.5194/amt-13-309-2020
35. Detection of Methane Emission from a Local Source Using GOSAT Target Observations A. Kuze et al. 10.3390/rs12020267
36. Satellite observations of atmospheric methane and their value for quantifying methane emissions D. Jacob et al. 10.5194/acp-16-14371-2016
37. SpectroCube: a European 6U nanosatellite spectroscopy platform for astrobiology and astrochemistry A. Elsaesser et al. 10.1016/j.actaastro.2020.01.028
38. Diagnosing Mixing Properties in Model Simulations for CH4 in the Stratosphere Z. Wang et al. 10.1029/2020JD032524
39. Quantifying methane point sources from fine-scale satellite observations of atmospheric methane plumes D. Varon et al. 10.5194/amt-11-5673-2018
40. Permafrost carbon emissions in a changing Arctic K. Miner et al. 10.1038/s43017-021-00230-3
41. 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
42. Retrieval of atmospheric CO<sub>2</sub> vertical profiles from ground-based near-infrared spectra S. Roche et al. 10.5194/amt-14-3087-2021
43. Regional‐Scale Wilting Point Estimation Using Satellite SIF, Radiative‐Transfer Inversion, and Soil‐Vegetation‐Atmosphere Transfer Simulation: A Grassland Study T. Kiyono et al. 10.1029/2022JG007074
44. Soil respiration–driven CO 2 pulses dominate Australia’s flux variability E. Metz et al. 10.1126/science.add7833
45. Methane retrievals from airborne HySpex observations in the shortwave infrared P. Hochstaffl et al. 10.5194/amt-16-4195-2023
46. Retrieval of greenhouse gases from GOSAT and GOSAT-2 using the FOCAL algorithm S. Noël et al. 10.5194/amt-15-3401-2022
47. Comparison of Retrieved L2 Products from Four Successive Versions of L1B Spectra in the Thermal Infrared Band of TANSO-FTS over the Arctic Ocean S. Payan et al. 10.3390/rs9111167
48. Comparative analysis of low-Earth orbit (TROPOMI) and geostationary (GeoCARB, GEO-CAPE) satellite instruments for constraining methane emissions on fine regional scales: application to the Southeast US J. Sheng et al. 10.5194/amt-11-6379-2018
49. Interpreting contemporary trends in atmospheric methane A. Turner et al. 10.1073/pnas.1814297116
50. Study of Atmospheric Carbon Dioxide Retrieval Method Based on Normalized Sensitivity L. Zhao et al. 10.3390/rs14051106
51. MERLIN: A French-German Space Lidar Mission Dedicated to Atmospheric Methane G. Ehret et al. 10.3390/rs9101052
52. Anthropogenic CO2 emissions assessment of Nile Delta using XCO2 and SIF data from OCO-2 satellite A. Shekhar et al. 10.1088/1748-9326/ab9cfe
53. Comparisons of the Orbiting Carbon Observatory-2 (OCO-2) <i>X</i><sub>CO<sub>2</sub></sub> measurements with TCCON D. Wunch et al. 10.5194/amt-10-2209-2017
54. 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
55. Assessing the capability of different satellite observing configurations to resolve the distribution of methane emissions at kilometer scales A. Turner et al. 10.5194/acp-18-8265-2018
56. Evaluating Radiometric Responsivity Degradations of TANSO-FTS/GOSAT Using Principal Component Analysis Y. Someya & Y. Yoshida 10.1175/JTECH-D-19-0224.1
57. Global methane budget and trend, 2010–2017: complementarity of inverse analyses using in situ (GLOBALVIEWplus CH<sub>4</sub> ObsPack) and satellite (GOSAT) observations X. Lu et al. 10.5194/acp-21-4637-2021
58. Variation patterns and driving factors of regional atmospheric CO2 anomalies in China Y. Fu et al. 10.1007/s11356-021-17139-5
59. An integrated analysis of contemporary methane emissions and concentration trends over China using in situ and satellite observations and model simulations H. Tan et al. 10.5194/acp-22-1229-2022
60. A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases N. Balasus et al. 10.5194/amt-16-3787-2023
61. How well can inverse analyses of high-resolution satellite data resolve heterogeneous methane fluxes? Observing system simulation experiments with the GEOS-Chem adjoint model (v35) X. Yu et al. 10.5194/gmd-14-7775-2021
62. Quantifying CO2 Emissions From Individual Power Plants From Space R. Nassar et al. 10.1002/2017GL074702
63. Methane Growth Rate Estimation and Its Causes in Western Canada Using Satellite Observations S. Islam et al. 10.1029/2020JD033948
64. Detecting high-emitting methane sources in oil/gas fields using satellite observations D. Cusworth et al. 10.5194/acp-18-16885-2018
65. 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
66. Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al. 10.1016/j.scitotenv.2023.164701
67. An improved band design framework for atmospheric pollutant detection and its application to the design of satellites for CO2 observation Z. Wu et al. 10.1016/j.jqsrt.2023.108712
68. Integrating continuous atmospheric boundary layer and tower-based flux measurements to advance understanding of land-atmosphere interactions M. Helbig et al. 10.1016/j.agrformet.2021.108509
69. Distinguishing Anthropogenic CO2 Emissions From Different Energy Intensive Industrial Sources Using OCO‐2 Observations: A Case Study in Northern China S. Wang et al. 10.1029/2018JD029005
70. Quantification of methane emitted by ruminants: a review of methods L. Tedeschi et al. 10.1093/jas/skac197
71. 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
72. XCO<sub>2</sub> observations using satellite measurements with moderate spectral resolution: investigation using GOSAT and OCO-2 measurements L. Wu et al. 10.5194/amt-13-713-2020
73. 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
74. The Potential of Monitoring Carbon Dioxide Emission in a Geostationary View with the GIIRS Meteorological Hyperspectral Infrared Sounder Q. Zhang et al. 10.3390/rs15040886
75. 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
76. Aerosol Property Retrieval Algorithm over Northeast Asia from TANSO-CAI Measurements Onboard GOSAT S. Lee et al. 10.3390/rs9070687
77. Can a regional-scale reduction of atmospheric CO<sub>2</sub> during the COVID-19 pandemic be detected from space? A case study for East China using satellite XCO<sub>2</sub> retrievals M. Buchwitz et al. 10.5194/amt-14-2141-2021
78. XCO2 and XCH4 Reconstruction Using GOSAT Satellite Data Based on EOF-Algorithm F. Lopez et al. 10.3390/rs14112622
79. 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
80. 2010–2016 methane trends over Canada, the United States, and Mexico observed by the GOSAT satellite: contributions from different source sectors J. Sheng et al. 10.5194/acp-18-12257-2018
81. Spectrum calibration of the first hyperspectral infrared measurements from a geostationary platform: Method and preliminary assessment Q. Guo et al. 10.1002/qj.3981
82. Investigation of monthly and seasonal changes of methane gas with respect to climate change using satellite data S. Javadinejad et al. 10.1007/s13201-019-1067-9
83. Aerosols in OCO-2/GOSAT retrievals of XCO2: An information content and error analysis S. Sanghavi et al. 10.1016/j.rse.2020.112053
84. Methane profiles from GOSAT thermal infrared spectra A. de Lange & J. Landgraf 10.5194/amt-11-3815-2018
85. 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
86. A Bayesian framework for deriving sector-based methane emissions from top-down fluxes D. Cusworth et al. 10.1038/s43247-021-00312-6
87. Measuring Atmospheric CO2 Enhancements From the 2017 British Columbia Wildfires Using a Lidar J. Mao et al. 10.1029/2021GL093805
88. Spectral sizing of a coarse-spectral-resolution satellite sensor for XCO<sub>2</sub> J. Wilzewski et al. 10.5194/amt-13-731-2020
89. Performance Evaluation of Spaceborne Integrated Path Differential Absorption Lidar for Carbon Dioxide Detection at 1572 nm S. Wang et al. 10.3390/rs12162570
90. 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
91. Theoretical analysis and simulation of FTIR spectrometer based on rotating double-sided reflective mirror Y. Tang et al. 10.1016/j.rinp.2023.107296
92. Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations Y. Zhang et al. 10.5194/acp-21-3643-2021
93. Potential of next-generation imaging spectrometers to detect and quantify methane point sources from space D. Cusworth et al. 10.5194/amt-12-5655-2019
94. Parallelism error analysis and its effect on modulation depth based on a rotating parallel mirror Fourier spectrometer Y. Tang et al. 10.1364/OE.481955
95. Consistent regional fluxes of CH<sub>4</sub> and CO<sub>2</sub> inferred from GOSAT proxy XCH<sub>4</sub> : XCO<sub>2</sub> retrievals, 2010–2014 L. Feng et al. 10.5194/acp-17-4781-2017
96. 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
97. Examining partial-column density retrieval of lower-tropospheric CO2 from GOSAT target observations over global megacities A. Kuze et al. 10.1016/j.rse.2022.112966
98. Estimating 2010–2015 anthropogenic and natural methane emissions in Canada using ECCC surface and GOSAT satellite observations S. Baray et al. 10.5194/acp-21-18101-2021
99. Attribution of the 2020 surge in atmospheric methane by inverse analysis of GOSAT observations Z. Qu et al. 10.1088/1748-9326/ac8754
100. Comparison of the GOSAT TANSO-FTS TIR CH<sub>4</sub> volume mixing ratio vertical profiles with those measured by ACE-FTS, ESA MIPAS, IMK-IAA MIPAS, and 16 NDACC stations K. Olsen et al. 10.5194/amt-10-3697-2017
101. Investigation of the renewed methane growth post-2007 with high-resolution 3-D variational inverse modeling and isotopic constraints J. Thanwerdas et al. 10.5194/acp-24-2129-2024
102. 2010–2015 North American methane emissions, sectoral contributions, and trends: a high-resolution inversion of GOSAT observations of atmospheric methane J. Maasakkers et al. 10.5194/acp-21-4339-2021
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104. Global distribution of methane emissions: a comparative inverse analysis of observations from the TROPOMI and GOSAT satellite instruments Z. Qu et al. 10.5194/acp-21-14159-2021
105. A method for estimating localized CO2 emissions from co-located satellite XCO2 and NO2 images B. Fuentes Andrade et al. 10.5194/amt-17-1145-2024
106. A review of close-range and screening technologies for mitigating fugitive methane emissions in upstream oil and gas T. Fox et al. 10.1088/1748-9326/ab0cc3
107. Atmospheric CH<sub>4</sub> and CO<sub>2</sub> enhancements and biomass burning emission ratios derived from satellite observations of the 2015 Indonesian fire plumes R. Parker et al. 10.5194/acp-16-10111-2016
108. 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
109. Seasonal variation of the O3–CO correlation derived from remote sensing measurements over western Japan H. Ohyama et al. 10.1016/j.atmosenv.2016.10.027
110. Calibration, Level 1 Processing, and Radiometric Validation for TANSO-FTS TIR on GOSAT F. Kataoka et al. 10.1109/TGRS.2018.2885162
111. Tropical methane emissions explain large fraction of recent changes in global atmospheric methane growth rate L. Feng et al. 10.1038/s41467-022-28989-z
112. Global height-resolved methane retrievals from the Infrared Atmospheric Sounding Interferometer (IASI) on MetOp R. Siddans et al. 10.5194/amt-10-4135-2017
113. 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
114. Carbon Monitoring System Flux Net Biosphere Exchange 2020 (CMS-Flux NBE 2020) J. Liu et al. 10.5194/essd-13-299-2021
115. Satellite-derived methane hotspot emission estimates using a fast data-driven method M. Buchwitz et al. 10.5194/acp-17-5751-2017
116. Methane emissions in the United States, Canada, and Mexico: evaluation of national methane emission inventories and 2010–2017 sectoral trends by inverse analysis of in situ (GLOBALVIEWplus CH<sub>4</sub> ObsPack) and satellite (GOSAT) atmospheric observations X. Lu et al. 10.5194/acp-22-395-2022
117. Accelerating methane growth rate from 2010 to 2017: leading contributions from the tropics and East Asia Y. Yin et al. 10.5194/acp-21-12631-2021
118. CH4 concentrations over the Amazon from GOSAT consistent with in situ vertical profile data A. Webb et al. 10.1002/2016JD025263