62 citations as recorded by crossref.

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4. A decade of GOSAT Proxy satellite CH<sub>4</sub> observations R. Parker et al. 10.5194/essd-12-3383-2020
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6. CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes A. Tsuruta et al. 10.3390/rs15061620
7. Uncertainty information in climate data records from Earth observation C. Merchant et al. 10.5194/essd-9-511-2017
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12. CO2 in Beijing and Xianghe Observed by Ground-Based FTIR Column Measurements and Validation to OCO-2/3 Satellite Observations M. Zhou et al. 10.3390/rs14153769
13. A Numerical reassessment of the Gulf of Mexico carbon system in connection with the Mississippi River and global ocean L. Zhang & Z. Xue 10.5194/bg-19-4589-2022
14. Spatio-Temporal Consistency Evaluation of XCO2 Retrievals from GOSAT and OCO-2 Based on TCCON and Model Data for Joint Utilization in Carbon Cycle Research Y. Kong et al. 10.3390/atmos10070354
15. A Review of Anthropogenic Ground-Level Carbon Emissions Based on Satellite Data K. Hu et al. 10.1109/JSTARS.2024.3355549
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18. Retrieval of content of greenhouse gases from atmospheric spectra of solar radiation with the use of different spectroscopic data on absorption lines T. Chesnokova et al. 10.1134/S1024856015050036
19. A scientific algorithm to simultaneously retrieve carbon monoxide and methane from TROPOMI onboard Sentinel-5 Precursor O. Schneising et al. 10.5194/amt-12-6771-2019
20. Consistent satellite XCO<sub>2</sub> retrievals from SCIAMACHY and GOSAT using the BESD algorithm J. Heymann et al. 10.5194/amt-8-2961-2015
21. Using a portable FTIR spectrometer to evaluate the consistency of Total Carbon Column Observing Network (TCCON) measurements on a global scale: the Collaborative Carbon Column Observing Network (COCCON) travel standard B. Herkommer et al. 10.5194/amt-17-3467-2024
22. Exploring constraints on a wetland methane emission ensemble (WetCHARTs) using GOSAT observations R. Parker et al. 10.5194/bg-17-5669-2020
23. Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool A. Lauer et al. 10.1016/j.rse.2017.01.007
24. Characterization of urban CO2 column abundance with a portable low resolution spectrometer (PLRS): Comparisons with GOSAT and GEOS-Chem model data Y. Tian et al. 10.1016/j.scitotenv.2016.12.005
25. 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
26. Methane Growth Rate Estimation and Its Causes in Western Canada Using Satellite Observations S. Islam et al. 10.1029/2020JD033948
27. Assessing 5 years of GOSAT Proxy XCH<sub>4</sub> data and associated uncertainties R. Parker et al. 10.5194/amt-8-4785-2015
28. Evaluating year-to-year anomalies in tropical wetland methane emissions using satellite CH4 observations R. Parker et al. 10.1016/j.rse.2018.02.011
29. Validation of TANSO-FTS/GOSAT XCO<sub>2</sub> and XCH<sub>4</sub> glint mode retrievals using TCCON data from near-ocean sites M. Zhou et al. 10.5194/amt-9-1415-2016
30. Retrieval of atmospheric CH4profiles from Fourier transform infrared data using dimension reduction and MCMC S. Tukiainen et al. 10.1002/2015JD024657
31. Investigating the performance of a greenhouse gas observatory in Hefei, China W. Wang et al. 10.5194/amt-10-2627-2017
32. Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved from GOSAT Spectra H. Oshio et al. 10.3390/rs12193155
33. Modification of Fraser’s Method for the Atmospheric CO2 Mass Estimation by Using Satellite Data M. Pellegrini et al. 10.3390/atmos13060866
34. Retrieval of atmospheric CH<sub>4</sub> vertical information from ground-based FTS near-infrared spectra M. Zhou et al. 10.5194/amt-12-6125-2019
35. Automatic processing of atmospheric CO<sub>2</sub> and CH<sub>4</sub> mole fractions at the ICOS Atmosphere Thematic Centre L. Hazan et al. 10.5194/amt-9-4719-2016
36. BESS-STAIR: a framework to estimate daily, 30 m, and all-weather crop evapotranspiration using multi-source satellite data for the US Corn Belt C. Jiang et al. 10.5194/hess-24-1251-2020
37. Study of Climate Change Detection in North-East Africa Using Machine Learning and Satellite Data S. Ibrahim et al. 10.1109/JSTARS.2021.3120987
38. Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics Z. Zeng et al. 10.1080/17538947.2016.1156777
39. 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
40. 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
41. Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurements L. Wu et al. 10.5194/amt-11-3111-2018
42. Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems M. Scholze et al. 10.5194/bg-14-3401-2017
43. Multi-year comparisons of ground-based and space-borne Fourier transform spectrometers in the high Arctic between 2006 and 2013 D. Griffin et al. 10.5194/amt-10-3273-2017
44. 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
45. Quantitative analysis of spatiotemporal coverage and uncertainty decomposition in OCO-2/3 XCO2 across China L. Zhang et al. 10.1016/j.atmosenv.2024.120636
46. Quantifying sources of Brazil's CH<sub>4</sub> emissions between 2010 and 2018 from satellite data R. Tunnicliffe et al. 10.5194/acp-20-13041-2020
47. Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
48. Geostationary Emission Explorer for Europe (G3E): mission concept and initial performance assessment A. Butz et al. 10.5194/amt-8-4719-2015
49. Improving the inter-hemispheric gradient of total column atmospheric CO<sub>2</sub> and CH<sub>4</sub> in simulations with the ECMWF semi-Lagrangian atmospheric global model A. Agusti-Panareda et al. 10.5194/gmd-10-1-2017
50. A new algorithm to generate a priori trace gas profiles for the GGG2020 retrieval algorithm J. Laughner et al. 10.5194/amt-16-1121-2023
51. Intercomparability of X<sub>CO<sub>2</sub></sub> and X<sub>CH<sub>4</sub></sub> from the United States TCCON sites J. Hedelius et al. 10.5194/amt-10-1481-2017
52. Evaluation of column-averaged methane in models and TCCON with a focus on the stratosphere A. Ostler et al. 10.5194/amt-9-4843-2016
53. Two-Year Comparison of Airborne Measurements of CO2 and CH4 With GOSAT at Railroad Valley, Nevada T. Tanaka et al. 10.1109/TGRS.2016.2539973
54. The global methane budget 2000–2012 M. Saunois et al. 10.5194/essd-8-697-2016
55. Validation of Remotely Sensed XCO2 Products With TCCON Observations in East Asia M. Ji et al. 10.1109/JSTARS.2024.3378229
56. Satellite-derived methane hotspot emission estimates using a fast data-driven method M. Buchwitz et al. 10.5194/acp-17-5751-2017
57. Long-term column-averaged greenhouse gas observations using a COCCON spectrometer at the high-surface-albedo site in Gobabeb, Namibia M. Frey et al. 10.5194/amt-14-5887-2021
58. Toward High Precision XCO2Retrievals From TanSat Observations: Retrieval Improvement and Validation Against TCCON Measurements D. Yang et al. 10.1029/2020JD032794
59. Comparison of the HadGEM2 climate-chemistry model against in situ and SCIAMACHY atmospheric methane data G. Hayman et al. 10.5194/acp-14-13257-2014
60. Comparisons of CH<sub>4</sub> ground-based FTIR measurements near Saint Petersburg with GOSAT observations N. Gavrilov et al. 10.5194/amt-7-1003-2014
61. The Greenhouse Gas Climate Change Initiative (GHG-CCI): Comparison and quality assessment of near-surface-sensitive satellite-derived CO2 and CH4 global data sets M. Buchwitz et al. 10.1016/j.rse.2013.04.024
62. Methane and carbon dioxide total column retrievals from cloudy GOSAT soundings over the oceans D. Schepers et al. 10.1002/2015JD023389