106 citations as recorded by crossref.

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3. An attempt to introduce atmospheric CO2 concentration data to estimate the gross primary production by the terrestrial biosphere and analyze its effects Z. Sun et al. https://doi.org/10.1016/j.ecolind.2017.08.057
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13. The Space Carbon Observatory (SCARBO) concept: assessment of XCO2 and XCH4 retrieval performance M. Dogniaux et al. https://doi.org/10.5194/amt-15-4835-2022
14. Assessment of Antalya’s carbon storage capacity with Google Earth Engine: an analysis on Net Primary Productivity and environmental variables D. Arikan İspir https://doi.org/10.1016/j.asr.2026.08.076
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24. Mapping spectroscopic uncertainties into prospective methane retrieval errors from Sentinel-5 and its precursor R. Checa-Garcia et al. https://doi.org/10.5194/amt-8-3617-2015
25. Interpreting seasonal changes of low-tropospheric CO 2 over China based on SCIAMACHY observations during 2003–2011 W. Xi et al. https://doi.org/10.1016/j.atmosenv.2014.12.053
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28. Investigation of the consistency of atmospheric CO2 retrievals from different space-based sensors: Intercomparison and spatiotemporal analysis T. Wang et al. https://doi.org/10.1007/s11434-013-5996-7
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33. Simulated retrievals for the remote sensing of CO2, CH4, CO, and H2O from geostationary orbit X. Xi et al. https://doi.org/10.5194/amt-8-4817-2015
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36. A study of measurement scenarios for the future CO2M mission: avoidance of detector saturation and the impact on XCO2 retrievals M. Weimer et al. https://doi.org/10.5194/amt-18-3321-2025
37. Retrieval of atmospheric CO2with enhanced accuracy and precision from SCIAMACHY: Validation with FTS measurements and comparison with model results M. Reuter et al. https://doi.org/10.1029/2010JD015047
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39. SCIAMACHY WFM-DOAS XCO2: reduction of scattering related errors J. Heymann et al. https://doi.org/10.5194/amt-5-2375-2012
40. Improvement of the retrieval algorithm for GOSAT SWIR XCO2 and XCH4 and their validation using TCCON data Y. Yoshida et al. https://doi.org/10.5194/amt-6-1533-2013
41. Radiative transfer through terrestrial atmosphere and ocean: Software package SCIATRAN V. Rozanov et al. https://doi.org/10.1016/j.jqsrt.2013.07.004
42. Reevaluating the Use of O2 a1Δg Band in Spaceborne Remote Sensing of Greenhouse Gases K. Sun et al. https://doi.org/10.1029/2018GL077823
43. Global Atmospheric CO2 Concentrations Simulated by GEOS-Chem: Comparison with GOSAT, Carbon Tracker and Ground-Based Measurements Y. Jing et al. https://doi.org/10.3390/atmos9050175
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46. Disentangling chlorophyll fluorescence from atmospheric scattering effects in O2A-band spectra of reflected sun-light C. Frankenberg et al. https://doi.org/10.1029/2010GL045896
47. Application of a probability density function-based atmospheric light-scattering correction to carbon dioxide retrievals from GOSAT over-sea observations A. Bril et al. https://doi.org/10.1016/j.rse.2011.10.005
48. Validation of XCO2 derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data M. Inoue et al. https://doi.org/10.5194/acp-13-9771-2013
49. Consistent evaluation of ACOS-GOSAT, BESD-SCIAMACHY, CarbonTracker, and MACC through comparisons to TCCON S. Kulawik et al. https://doi.org/10.5194/amt-9-683-2016
50. A joint effort to deliver satellite retrieved atmospheric CO2 concentrations for surface flux inversions: the ensemble median algorithm EMMA M. Reuter et al. https://doi.org/10.5194/acp-13-1771-2013
51. Ability of the 4-D-Var analysis of the GOSAT BESD XCO2 retrievals to characterize atmospheric CO2 at large and synoptic scales S. Massart et al. https://doi.org/10.5194/acp-16-1653-2016
52. A Review of Anthropogenic Ground-Level Carbon Emissions Based on Satellite Data K. Hu et al. https://doi.org/10.1109/JSTARS.2024.3355549
53. A long-term global XCO2 dataset: Ensemble of satellite products C. Jin et al. https://doi.org/10.1016/j.atmosres.2022.106385
54. 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
55. TROPOMI aboard Sentinel-5 Precursor: Prospective performance of CH4 retrievals for aerosol and cirrus loaded atmospheres A. Butz et al. https://doi.org/10.1016/j.rse.2011.05.030
56. Influence of aerosols and thin cirrus clouds on the GOSAT-observed CO2: a case study over Tsukuba O. Uchino et al. https://doi.org/10.5194/acp-12-3393-2012
57. An Efficient Algorithm for Retrieving CO2 in the Atmosphere From Hyperspectral Measurements of Satellites: Application of NLS-4DVar Data Assimilation Method Z. Jin et al. https://doi.org/10.3389/feart.2021.688542
58. Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems M. Scholze et al. https://doi.org/10.5194/bg-14-3401-2017
59. Study of satellite retrieved CO2 and CH4 concentration over India P. Prasad et al. https://doi.org/10.1016/j.asr.2014.07.021
60. The Orbiting Carbon Observatory-2 early science investigations of regional carbon dioxide fluxes A. Eldering et al. https://doi.org/10.1126/science.aam5745
61. Comparative evaluation of XCO2 concentration among climate types within India region using OCO-2 signatures Y. Hwang & J. Um https://doi.org/10.1007/s41324-016-0063-5
62. Retrieval of Carbon Dioxide Using Cross-Track Infrared Sounder (CrIS) on S-NPP X. Zhang et al. https://doi.org/10.3390/rs13061163
63. The ACOS CO2 retrieval algorithm – Part 1: Description and validation against synthetic observations C. O'Dell et al. https://doi.org/10.5194/amt-5-99-2012
64. CO 2 emissions from the 2010 Russian wildfires using GOSAT data M. Guo et al. https://doi.org/10.1016/j.envpol.2017.04.014
65. On the statistical optimality of CO2 atmospheric inversions assimilating CO2 column retrievals F. Chevallier https://doi.org/10.5194/acp-15-11133-2015
66. The GeoCarb greenhouse gas retrieval algorithm: simulations and sensitivity to sources of uncertainty G. McGarragh et al. https://doi.org/10.5194/amt-17-1091-2024
67. A remote sensing technique for global monitoring of power plant CO2emissions from space and related applications H. Bovensmann et al. https://doi.org/10.5194/amt-3-781-2010
68. Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature T. von Clarmann et al. https://doi.org/10.5194/amt-13-4393-2020
69. On the potential of the 2041–2047nm spectral region for remote sensing of atmospheric CO2 isotopologues M. Reuter et al. https://doi.org/10.1016/j.jqsrt.2012.07.013
70. 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. https://doi.org/10.5194/amt-13-789-2020
71. An analysis of the global spatial variability of column-averaged CO2 from SCIAMACHY and its implications for CO2 sources and sinks Z. Zhang et al. https://doi.org/10.1080/01431161.2014.885151
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73. Validation of open-path dual-comb spectroscopy against an O2 background N. Malarich et al. https://doi.org/10.1364/OE.480301
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75. A study of synthetic 13CH4 retrievals from TROPOMI and Sentinel-5/UVNS E. Malina et al. https://doi.org/10.5194/amt-12-6273-2019
76. Monitoring carbon dioxide from space: Retrieval algorithm and flux inversion based on GOSAT data and using CarbonTracker-China D. Yang et al. https://doi.org/10.1007/s00376-017-6221-4
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94. A singular value decomposition framework for retrievals with vertical distribution information from greenhouse gas column absorption spectroscopy measurements A. Ramanathan et al. https://doi.org/10.5194/amt-11-4909-2018
95. Can a regional-scale reduction of atmospheric CO2 during the COVID-19 pandemic be detected from space? A case study for East China using satellite XCO2 retrievals M. Buchwitz et al. https://doi.org/10.5194/amt-14-2141-2021
96. Mapping the CO2 total column retrieval performance from shortwave infrared measurements: synthetic impacts of the spectral resolution, signal-to-noise ratio, and spectral band selection M. Dogniaux & C. Crevoisier https://doi.org/10.5194/amt-17-5373-2024
97. Spatial Distribution of CO<SUB>2</SUB> Concentration over South America during ENSO Episodes by Using GOSAT Data Z. Sun et al. https://doi.org/10.4236/ajcc.2016.51009
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99. Retrieval of aerosol parameters from the oxygen A band in the presence of chlorophyll fluorescence A. Sanders & J. de Haan https://doi.org/10.5194/amt-6-2725-2013
100. Retrieving the atmospheric concentrations of carbon dioxide and methane from the European Copernicus CO2M satellite mission using artificial neural networks M. Reuter et al. https://doi.org/10.5194/amt-18-241-2025
101. Atmospheric CO2 retrieval from satellite spectral measurements by a two-step machine learning approach Z. Zhao et al. https://doi.org/10.1016/j.jqsrt.2021.108006
102. First observations of global and seasonal terrestrial chlorophyll fluorescence from space J. Joiner et al. https://doi.org/10.5194/bg-8-637-2011
103. Terrestrial carbon sink observed from space: variation of growth rates and seasonal cycle amplitudes in response to interannual surface temperature variability O. Schneising et al. https://doi.org/10.5194/acp-14-133-2014
104. Satellite-inferred European carbon sink larger than expected M. Reuter et al. https://doi.org/10.5194/acp-14-13739-2014
105. Consistent satellite XCO2 retrievals from SCIAMACHY and GOSAT using the BESD algorithm J. Heymann et al. https://doi.org/10.5194/amt-8-2961-2015
106. The geospatial modelling of vegetation carbon storage analysis in Google earth engine using machine learning techniques A. M et al. https://doi.org/10.1007/s12145-024-01372-w