36 citations as recorded by crossref.

1. Global inverse modeling of CH4 sources and sinks: an overview of methods S. Houweling et al. 10.5194/acp-17-235-2017
2. The carbon sink in China as seen from GOSAT with a regional inversion system based on the Community Multi-scale Air Quality (CMAQ) and ensemble Kalman smoother (EnKS) X. Kou et al. 10.5194/acp-23-6719-2023
3. 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. 10.5194/amt-13-789-2020
4. Global Carbon Budget 2017 C. Le Quéré et al. 10.5194/essd-10-405-2018
5. 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. 10.5194/amt-14-2141-2021
6. Using airborne HIAPER Pole-to-Pole Observations (HIPPO) to evaluate model and remote sensing estimates of atmospheric carbon dioxide C. Frankenberg et al. 10.5194/acp-16-7867-2016
7. Utilizing OCO-2 satellite transect in comparing XCO2 concentrations among administrative regions in Northeast Asia S. Park et al. 10.1007/s41324-017-0111-9
8. Intercomparison of Remote Sensing Retrievals: An Examination of Prior-Induced Biases in Averaging Kernel Corrections H. Nguyen & J. Hobbs 10.3390/rs12193239
9. Mission CO2ntrol: A Statistical Scientist's Role in Remote Sensing of Atmospheric Carbon Dioxide N. Cressie 10.1080/01621459.2017.1419136
10. A biogenic CO2 flux adjustment scheme for the mitigation of large-scale biases in global atmospheric CO2 analyses and forecasts A. Agustí-Panareda et al. 10.5194/acp-16-10399-2016
11. Improving Error Estimates for Evaluating Satellite-Based Atmospheric CO2 Measurement Concepts through Numerical Simulations B. Silveira et al. 10.3390/rs16132452
12. Global environmental vulnerability and the survival period of all living beings on earth M. Hossain 10.1007/s13762-018-1722-y
13. Toward High‐Resolution Global Atmospheric Inverse Modeling Using Graphics Accelerators F. Chevallier et al. 10.1029/2022GL102135
14. Constraining a terrestrial biosphere model with remotely sensed atmospheric carbon dioxide T. Kaminski et al. 10.1016/j.rse.2017.08.017
15. Age of air as a diagnostic for transport timescales in global models M. Krol et al. 10.5194/gmd-11-3109-2018
16. Invisible transportation infrastructure technology to mitigate energy and environment M. Hossain 10.1186/s13705-017-0128-x
17. The potential of satellite spectro-imagery for monitoring CO2 emissions from large cities G. Broquet et al. 10.5194/amt-11-681-2018
18. Objective evaluation of surface- and satellite-driven carbon dioxide atmospheric inversions F. Chevallier et al. 10.5194/acp-19-14233-2019
19. XCO2 retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm S. Noël et al. 10.5194/amt-14-3837-2021
20. A Data-Driven Assessment of Biosphere-Atmosphere Interaction Impact on Seasonal Cycle Patterns of XCO2 Using GOSAT and MODIS Observations Z. He et al. 10.3390/rs9030251
21. Reviews and syntheses: Flying the satellite into your model: on the role of observation operators in constraining models of the Earth system and the carbon cycle T. Kaminski & P. Mathieu 10.5194/bg-14-2343-2017
22. Sensitivity of Optimal Estimation Satellite Retrievals to Misspecification of the Prior Mean and Covariance, with Application to OCO-2 Retrievals H. Nguyen et al. 10.3390/rs11232770
23. Global Carbon Budget 2016 C. Le Quéré et al. 10.5194/essd-8-605-2016
24. XCO2 estimates from the OCO-2 measurements using a neural network approach L. David et al. 10.5194/amt-14-117-2021
25. Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set M. Buchwitz et al. 10.1016/j.rse.2016.12.027
26. Five decades of northern land carbon uptake revealed by the interhemispheric CO2 gradient P. Ciais et al. 10.1038/s41586-019-1078-6
27. On the performance of satellite-based observations of XCO2 in capturing the NOAA Carbon Tracker model and ground-based flask observations over Africa's land mass A. Mengistu & G. Mengistu Tsidu 10.5194/amt-13-4009-2020
28. Spatial Retrievals of Atmospheric Carbon Dioxide from Satellite Observations J. Hobbs et al. 10.3390/rs13040571
29. How Much CO2 Is Taken Up by the European Terrestrial Biosphere? M. Reuter et al. 10.1175/BAMS-D-15-00310.1
30. Plant gross primary production, plant respiration and carbonyl sulfide emissions over the globe inferred by atmospheric inverse modelling M. Remaud et al. 10.5194/acp-22-2525-2022
31. Global Carbon Budget 2015 C. Le Quéré et al. 10.5194/essd-7-349-2015
32. Extreme Level of CO2 Accumulation into the Atmosphere Due to the Unequal Global Carbon Emission and Sequestration M. Hossain 10.1007/s11270-022-05581-1
33. On the potential of a neural-network-based approach for estimating XCO2 from OCO-2 measurements F. Bréon et al. 10.5194/amt-15-5219-2022
34. Global atmospheric CO2 inverse models converging on neutral tropical land exchange, but disagreeing on fossil fuel and atmospheric growth rate B. Gaubert et al. 10.5194/bg-16-117-2019
35. Comment F. Chevallier & F. Bréon 10.1080/01621459.2017.1419138
36. A CO-based method to determine the regional biospheric signal in atmospheric CO₂ B. Oney et al. 10.1080/16000889.2017.1353388