99 citations as recorded by crossref.

1. The Significance of Fast Radiative Transfer for Hyperspectral SWIR XCO2 Retrievals P. Somkuti et al. https://doi.org/10.3390/atmos11111219
2. The Importance of Scale in the Definition of Uncertainties: How do we Best Communicate this to Data Users? C. Bulgin et al. https://doi.org/10.1007/s10712-025-09908-5
3. The on-orbit performance of the Orbiting Carbon Observatory-2 (OCO-2) instrument and its radiometrically calibrated products D. Crisp et al. https://doi.org/10.5194/amt-10-59-2017
4. Observing Water Vapour in the Planetary Boundary Layer from the Short-Wave Infrared T. Trent et al. https://doi.org/10.3390/rs10091469
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6. Uncertainty of atmospheric microwave absorption model: impact on ground-based radiometer simulations and retrievals D. Cimini et al. https://doi.org/10.5194/acp-18-15231-2018
7. An Interpolation Method to Reduce the Computational Time in the Stochastic Lagrangian Particle Dispersion Modeling of Spatially Dense XCO2 Retrievals D. Roten et al. https://doi.org/10.1029/2020EA001343
8. Validation of OCO-2 error analysis using simulated retrievals S. Kulawik et al. https://doi.org/10.5194/amt-12-5317-2019
9. Quantitative Assessment of Satellite-Observed Atmospheric CO2 Concentrations over Oceanic Regions X. He et al. https://doi.org/10.3390/rs17244026
10. An accurate determination of O2 A-band line intensities through experiment and theory E. Adkins et al. https://doi.org/10.1016/j.jqsrt.2025.109412
11. The OCO-3 mission: measurement objectives and expected performance based on 1 year of simulated data A. Eldering et al. https://doi.org/10.5194/amt-12-2341-2019
12. Mission CO2ntrol: A Statistical Scientist's Role in Remote Sensing of Atmospheric Carbon Dioxide N. Cressie https://doi.org/10.1080/01621459.2017.1419136
13. Quantifying uncertainty for remote spectroscopy of surface composition D. Thompson et al. https://doi.org/10.1016/j.rse.2020.111898
14. Dynamics of atmospheric carbon dioxide over different land cover types in India A. Chhabra & A. Gohel https://doi.org/10.1007/s10661-019-7681-z
15. 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. https://doi.org/10.1007/s00376-020-9160-4
16. Estimation of CO2 Emissions from Wildfires Using OCO-2 Data M. Guo et al. https://doi.org/10.3390/atmos10100581
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19. Quantitative analysis of spatiotemporal coverage and uncertainty decomposition in OCO-2/3 XCO2 across China L. Zhang et al. https://doi.org/10.1016/j.atmosenv.2024.120636
20. Evaluating national and subnational CO2 mitigation goals in China’s thirteenth five-year plan from satellite observations G. Pan et al. https://doi.org/10.1016/j.envint.2021.106771
21. Atmospheric Simulations of Total Column CO2 Mole Fractions from Global to Mesoscale within the Carbon Monitoring System Flux Inversion Framework M. Butler et al. https://doi.org/10.3390/atmos11080787
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23. Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments P. Ma et al. https://doi.org/10.1080/00401706.2021.1895890
24. The potential of CO2 satellite monitoring for climate governance: A review G. Pan et al. https://doi.org/10.1016/j.jenvman.2020.111423
25. Scene invariants for quantifying radiative transfer uncertainty D. Thompson et al. https://doi.org/10.1016/j.rse.2021.112432
26. Evaluating CO2 and CH4 absorption models with open-path dual-comb spectroscopy at the mauna loa observatory N. Malarich et al. https://doi.org/10.1016/j.jqsrt.2025.109567
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28. Absorption coefficient (ABSCO) tables for the Orbiting Carbon Observatories: Version 5.1 V. Payne et al. https://doi.org/10.1016/j.jqsrt.2020.107217
29. Insights into 3D cloud radiative transfer effects for the Orbiting Carbon Observatory S. Massie et al. https://doi.org/10.5194/amt-16-2145-2023
30. Evaluation and attribution of OCO-2 XCO2 uncertainties J. Worden et al. https://doi.org/10.5194/amt-10-2759-2017
31. Prelaunch Radiometric Calibration of the TanSat Atmospheric Carbon Dioxide Grating Spectrometer Z. Yang et al. https://doi.org/10.1109/TGRS.2018.2829224
32. Cavity-enhanced saturated absorption spectroscopy of the (30012) − (00001) band of 12C16O2 Y. Tan et al. https://doi.org/10.1063/5.0074713
33. Accounting for the effect of aerosols in GHGSat methane retrieval Q. Yu et al. https://doi.org/10.5194/amt-17-3347-2024
34. A Coupled BRDF CO2 Retrieval Method for the GF-5 GMI and Improvements in the Correction of Atmospheric Scattering H. Ye et al. https://doi.org/10.3390/rs14030488
35. Spectral line-shape analysis of CO2 transition using Hartmann-Tran profile and its asymptotic limits D. Li et al. https://doi.org/10.1016/j.jms.2021.111480
36. Optimal Estimation Versus MCMC for $$\mathrm{{CO}}_{2}$$ CO 2 Retrievals J. Brynjarsdottir et al. https://doi.org/10.1007/s13253-018-0319-8
37. Evaluating consistency between total column CO2 retrievals from OCO-2 and the in situ network over North America: implications for carbon flux estimation B. Rastogi et al. https://doi.org/10.5194/acp-21-14385-2021
38. 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
39. Satellite-Based Reconstruction of Atmospheric CO2 Concentration over China Using a Hybrid CNN and Spatiotemporal Kriging Model Y. Hua et al. https://doi.org/10.3390/rs16132433
40. Evaluation of single-footprint AIRS CH4 profile retrieval uncertainties using aircraft profile measurements S. Kulawik et al. https://doi.org/10.5194/amt-14-335-2021
41. Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm T. Taylor et al. https://doi.org/10.5194/amt-16-3173-2023
42. 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
43. The Orbiting Carbon Observatory-2: first 18 months of science data products A. Eldering et al. https://doi.org/10.5194/amt-10-549-2017
44. Post hoc Uncertainty Quantification for Remote Sensing Observing Systems A. Braverman et al. https://doi.org/10.1137/19M1304283
45. A few statistical principles for data science N. Cressie https://doi.org/10.1111/anzs.12324
46. A two-step quadrature-based variational calculation of ro-vibrational levels and wavefunctions of CO2 using a bisector-x molecule-fixed frame X. Wang & T. Carrington https://doi.org/10.1039/D4CP00655K
47. 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
48. Contributions of argon, nitrogen, and oxygen to air broadening in the oxygen A-band L. Stevenson et al. https://doi.org/10.1016/j.jqsrt.2025.109480
49. Spectral calibration of the MethaneAIR instrument C. Staebell et al. https://doi.org/10.5194/amt-14-3737-2021
50. Extracting XCO2-NASA data with XCODEX: a Python package designed for data extraction and structuration H. Fontellas Laurito et al. https://doi.org/10.1007/s10661-025-14174-4
51. Exploring bias in the OCO-3 snapshot area mapping mode via geometry, surface, and aerosol effects E. Bell et al. https://doi.org/10.5194/amt-16-109-2023
52. Synergy of Multiple‐Satellite Measurements to Fill the Gap of Global XCO2 J. Lee et al. https://doi.org/10.1029/2024JD042809
53. Satellites will address critical science priorities for quantifying ocean carbon J. Shutler et al. https://doi.org/10.1002/fee.2129
54. Dynamic Coupling Between Atmospheric CO2 Concentration and Land Surface Temperature in Major Urban Agglomerations in China: Insights for Sustainable Urban Development Q. Sun et al. https://doi.org/10.3390/su16219484
55. The HITRAN2016 molecular spectroscopic database I. Gordon et al. https://doi.org/10.1016/j.jqsrt.2017.06.038
56. In situ measurement of CO2 and CH4 from aircraft over northeast China and comparison with OCO-2 data X. Sun et al. https://doi.org/10.5194/amt-13-3595-2020
57. Assessment of the precision, bias and numerical correlation of fitted parameters obtained by multi-spectrum fits of the Hartmann-Tran line profile to simulated absorption spectra E. Adkins & J. Hodges https://doi.org/10.1016/j.jqsrt.2022.108100
58. Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations J. Chimot et al. https://doi.org/10.5194/amt-11-2257-2018
59. Study of Atmospheric Carbon Dioxide Retrieval Method Based on Normalized Sensitivity L. Zhao et al. https://doi.org/10.3390/rs14051106
60. Toward High Precision XCO2Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements D. Yang et al. https://doi.org/10.1029/2020JD032794
61. Sensitivity of Optimal Estimation Satellite Retrievals to Misspecification of the Prior Mean and Covariance, with Application to OCO-2 Retrievals H. Nguyen et al. https://doi.org/10.3390/rs11232770
62. Monitoring Methane Emissions from Oil and Gas Operations W. Collins et al. https://doi.org/10.1103/PRXEnergy.1.017001
63. Evaluation of Multi-Source Satellite XCO2 Products over China Using the Three-Cornered Hat Method and Multi-Reference Comprehensive Comparisons F. Ruan et al. https://doi.org/10.3390/rs17233869
64. Validation of Remotely Sensed XCO2 Products With TCCON Observations in East Asia M. Ji et al. https://doi.org/10.1109/JSTARS.2024.3378229
65. A Multifactor Deep Forest Regression Stepwise Downscaling Framework for High-Resolution XCO2 in China Y. Huang et al. https://doi.org/10.1109/TGRS.2025.3633903
66. Application of Neural Networks for Retrieval of the CO2 Concentration at Aerospace Sensing by IPDA-DIAL lidar G. Matvienko & A. Sukhanov https://doi.org/10.3390/rs11060659
67. Improved Data Processing and a Prior Profile Generation Method for Precise Retrieval of Atmospheric CO2 Based on a Laser Heterodyne Radiometer N. Fu et al. https://doi.org/10.3390/rs17233791
68. Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. https://doi.org/10.1029/2019JD030528
69. Analysis of 3D cloud effects in OCO-2 XCO2 retrievals S. Massie et al. https://doi.org/10.5194/amt-14-1475-2021
70. Performance and polarization response of slit homogenizers for the GeoCarb mission S. Crowell et al. https://doi.org/10.5194/amt-16-195-2023
71. H2CM (v1.0): hybrid modeling of global water–carbon cycles constrained by atmospheric and land observations Z. Baghirov et al. https://doi.org/10.5194/gmd-19-4467-2026
72. Retrievals of tropospheric ozone profiles from the synergism of AIRS and OMI: methodology and validation D. Fu et al. https://doi.org/10.5194/amt-11-5587-2018
73. A fast and accurate vector radiative transfer model for simulating the near-infrared hyperspectral scattering processes in clear atmospheric conditions W. Bai et al. https://doi.org/10.1016/j.jqsrt.2019.106736
74. Mitigation of satellite OCO-2 CO2 biases in the vicinity of clouds with 3D calculations using the Education and Research 3D Radiative Transfer Toolbox (EaR3T) Y. Chen et al. https://doi.org/10.5194/amt-18-1859-2025
75. WRF-Chem simulations of CO2 over Belgium and surrounding countries assessed by ground-based measurements J. Wang et al. https://doi.org/10.5194/acp-26-3541-2026
76. Laser and Optical Sounding of the Atmosphere G. Matvienko et al. https://doi.org/10.1134/S102485602001008X
77. 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
78. Objective Frequentist Uncertainty Quantification for Atmospheric \(\mathrm{CO}_2\) Retrievals P. Patil et al. https://doi.org/10.1137/20M1356403
79. High accuracy absorption coefficients for the Orbiting Carbon Observatory-2 (OCO-2) mission: Validation of updated carbon dioxide cross-sections using atmospheric spectra F. Oyafuso et al. https://doi.org/10.1016/j.jqsrt.2017.06.012
80. Air-broadening in near-infrared carbon dioxide line shapes: Quantifying contributions from O2, N2, and Ar E. Adkins et al. https://doi.org/10.1016/j.jqsrt.2021.107669
81. Feasibility Study on Measuring Atmospheric CO2 in Urban Areas Using Spaceborne CO2-IPDA LIDAR G. Han et al. https://doi.org/10.3390/rs10070985
82. Simulation-Based Uncertainty Quantification for Estimating Atmospheric CO$_2$ from Satellite Data J. Hobbs et al. https://doi.org/10.1137/16M1060765
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85. Multivariate Spatial Data Fusion for Very Large Remote Sensing Datasets H. Nguyen et al. https://doi.org/10.3390/rs9020142
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88. Critical review on mobile direct air capture: Concept expansion, characteristic description, and performance evaluation S. Li et al. https://doi.org/10.1016/j.matt.2024.01.003
89. The fingerprint of the summer 2018 drought in Europe on ground-based atmospheric CO2measurements M. Ramonet et al. https://doi.org/10.1098/rstb.2019.0513
90. Bias assessment of lower and middle tropospheric CO2 concentrations of GOSAT/TANSO-FTS TIR version 1 product N. Saitoh et al. https://doi.org/10.5194/amt-10-3877-2017
91. Impacts of MOPITT cloud detection revisions on observation frequency and mapping of highly polluted scenes M. Deeter et al. https://doi.org/10.1016/j.rse.2021.112516
92. Application of a PCA‐Based Fast Radiative Transfer Model to XCO2 Retrievals in the Shortwave Infrared P. Somkuti et al. https://doi.org/10.1002/2017JD027013
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95. Monitoring methane emissions from oil and gas operations‡ W. Collins et al. https://doi.org/10.1364/OE.464421
96. A global perspective on CO2 satellite observations in high AOD conditions T. Virtanen et al. https://doi.org/10.5194/amt-18-929-2025
97. Improving Satellite XCO₂ Measurements Accuracy: A Bayesian Bias Correction Approach Considering Spatiotemporal Bias Characteristics R. Li et al. https://doi.org/10.1109/TGRS.2024.3483776
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