58 citations as recorded by crossref.

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22. Bias present in US federal agency power plant CO 2 emissions data and implications for the US clean power plan K. Gurney et al. 10.1088/1748-9326/11/6/064005
23. 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. 10.5194/acp-14-133-2014
24. Large Uncertainties in Urban‐Scale Carbon Emissions C. Gately & L. Hutyra 10.1002/2017JD027359
25. Measuring and Monitoring Urban Impacts on Climate Change from Space C. Milesi & G. Churkina 10.3390/rs12213494
26. The potential of CO2 satellite monitoring for climate governance: A review G. Pan et al. 10.1016/j.jenvman.2020.111423
27. Direct space‐based observations of anthropogenic CO2 emission areas from OCO‐2 J. Hakkarainen et al. 10.1002/2016GL070885
28. Modeling the impact of media awareness programs on mitigation of carbon dioxide emitted from automobiles S. Sundar et al. 10.1007/s40808-017-0401-1
29. Assessing Greenhouse Gas Monitoring Capabilities Using SolAtmos End-to-End Simulator: Application to the Uvsq-Sat NG Mission C. Clavier et al. 10.3390/rs16081442
30. 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
31. Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil L. da Costa et al. 10.1007/s10668-021-01677-6
32. Towards monitoring localized CO<sub>2</sub> emissions from space: co-located regional CO<sub>2</sub> and NO<sub>2</sub> enhancements observed by the OCO-2 and S5P satellites M. Reuter et al. 10.5194/acp-19-9371-2019
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34. A Method for Estimating the Background Column Concentration of CO2 Using the Lagrangian Approach Z. Pei et al. 10.1109/TGRS.2022.3176134
35. Decreasing emissions of NOx relative to CO2 in East Asia inferred from satellite observations M. Reuter et al. 10.1038/ngeo2257
36. Toward anthropogenic combustion emission constraints from space‐based analysis of urban CO2/CO sensitivity S. Silva et al. 10.1002/grl.50954
37. Constraining sector-specific CO<sub>2</sub> and CH<sub>4</sub> emissions in the US S. Miller & A. Michalak 10.5194/acp-17-3963-2017
38. 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. 10.1134/S102485601501011X
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40. Satellite-derived methane hotspot emission estimates using a fast data-driven method M. Buchwitz et al. 10.5194/acp-17-5751-2017
41. Evaluating national and subnational CO2 mitigation goals in China’s thirteenth five-year plan from satellite observations G. Pan et al. 10.1016/j.envint.2021.106771
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43. 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
44. A multiyear, global gridded fossil fuel CO2 emission data product: Evaluation and analysis of results S. Asefi‐Najafabady et al. 10.1002/2013JD021296
45. Anthropogenic and natural controls on atmospheric <i>δ</i><sup>13</sup>C-CO<sub>2</sub> variations in the Yangtze River delta: insights from a carbon isotope modeling framework C. Hu et al. 10.5194/acp-21-10015-2021
46. An Assessment of Anthropogenic CO2 Emissions by Satellite-Based Observations in China S. Yang et al. 10.3390/s19051118
47. Spectral sizing of a coarse-spectral-resolution satellite sensor for XCO<sub>2</sub> J. Wilzewski et al. 10.5194/amt-13-731-2020
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50. Spatio-Temporal Mapping of Multi-Satellite Observed Column Atmospheric CO2 Using Precision-Weighted Kriging Method Z. He et al. 10.3390/rs12030576
51. Satellite Data Applications for Sustainable Energy Transitions M. Edwards et al. 10.3389/frsus.2022.910924
52. Design and application of a mobile ground-based observatory for continuous measurements of atmospheric trace gas and criteria pollutant species S. Bush et al. 10.5194/amt-8-3481-2015
53. 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. 10.5194/amt-9-3491-2016
54. Estimating Global Anthropogenic CO2 Gridded Emissions Using a Data-Driven Stacked Random Forest Regression Model Y. Zhang et al. 10.3390/rs14163899
55. Working towards confident spaceborne monitoring of carbon emissions from cities using Orbiting Carbon Observatory-2 L. Labzovskii et al. 10.1016/j.rse.2019.111359
56. Spatiotemporal variation analysis of global XCO2 concentration during 2010–2020 based on DINEOF-BME framework and wavelet function Z. Gao et al. 10.1016/j.scitotenv.2023.164750
57. Detecting the Responses of CO2 Column Abundances to Anthropogenic Emissions from Satellite Observations of GOSAT and OCO-2 M. Sheng et al. 10.3390/rs13173524
58. Tracking city CO<sub>2</sub> emissions from space using a high-resolution inverse modelling approach: a case study for Berlin, Germany D. Pillai et al. 10.5194/acp-16-9591-2016