78 citations as recorded by crossref.

1. CMAQ simulation of atmospheric CO2 concentration in East Asia: Comparison with GOSAT observations and ground measurements R. Li et al. 10.1016/j.atmosenv.2017.03.056
2. A regional CO<sub>2</sub> observing system simulation experiment for the ASCENDS satellite mission J. Wang et al. 10.5194/acp-14-12897-2014
3. Atmospheric CO$_2$ Sensing with a Random Modulation Continuous Wave Integrated Path Differential Absorption Lidar M. Quatrevalet et al. 10.1109/JSTQE.2016.2619325
4. Simulated retrievals for the remote sensing of CO<sub>2</sub>, CH<sub>4</sub>, CO, and H<sub>2</sub>O from geostationary orbit X. Xi et al. 10.5194/amt-8-4817-2015
5. Atmospheric carbon dioxide measurement from aircraft and comparison with OCO-2 and CarbonTracker model data Q. Wang et al. 10.5194/amt-14-6601-2021
6. Potential improvement of XCO 2 retrieval of the OCO-2 by having aerosol information from the A-train satellites J. Hong et al. 10.1080/15481603.2023.2209968
7. Characterizing uncertainties in atmospheric inversions of fossil fuel CO<sub>2</sub> emissions in California K. Brophy et al. 10.5194/acp-19-2991-2019
8. Separation of biospheric and fossil fuel fluxes of CO<sub>2</sub> by atmospheric inversion of CO<sub>2</sub> and <sup>14</sup>CO<sub>2</sub> measurements: Observation System Simulations S. Basu et al. 10.5194/acp-16-5665-2016
9. Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance T. Kaminski et al. 10.5194/tc-12-2569-2018
10. Retrieving XCO2 from GOSAT FTS over East Asia Using Simultaneous Aerosol Information from CAI W. Kim et al. 10.3390/rs8120994
11. 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
12. Anthropogenic carbon dioxide source areas observed from space: assessment of regional enhancements and trends O. Schneising et al. 10.5194/acp-13-2445-2013
13. Evaluating Satellite Observed CO2 Column by a 3-D Atmospheric Transport Model X. Guan et al. 10.1088/1755-1315/17/1/012010
14. Surface observations for monitoring urban fossil fuel CO2 emissions: Minimum site location requirements for the Los Angeles megacity E. Kort et al. 10.1002/jgrd.50135
15. Assimilating solar-induced chlorophyll fluorescence into the terrestrial biosphere model BETHY-SCOPE v1.0: model description and information content A. Norton et al. 10.5194/gmd-11-1517-2018
16. On-orbit radiometric calibration of SWIR bands of TANSO-FTS onboard GOSAT Y. Yoshida et al. 10.5194/amt-5-2515-2012
17. Regional CO<sub>2</sub> fluxes from 2010 to 2015 inferred from GOSAT XCO<sub>2</sub> retrievals using a new version of the Global Carbon Assimilation System F. Jiang et al. 10.5194/acp-21-1963-2021
18. Recent trends and advances in hyperspectral imaging techniques to estimate solar induced fluorescence for plant phenotyping P. Mangalraj & B. Cho 10.1016/j.ecolind.2022.108721
19. 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
20. Seasonal dynamics and impact factors of atmospheric CO2 concentration over subtropical forest canopies: observation from eddy covariance tower and OCO-2 satellite in Northwest Himalaya, India T. Watham et al. 10.1007/s10661-021-08896-4
21. Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
22. Comparison of Atmospheric Carbon Dioxide Concentrations Based on GOSAT, OCO-2 Observations and Ground-Based TCCON Data J. Zheng et al. 10.3390/rs15215172
23. Machine Learning Model-Based Estimation of XCO2 with High Spatiotemporal Resolution in China S. He et al. 10.3390/atmos14030436
24. Estimation of CO 2 flux from targeted satellite observations: a Bayesian approach G. Cox 10.1088/0266-5611/30/11/114010
25. Consistent evaluation of ACOS-GOSAT, BESD-SCIAMACHY, CarbonTracker, and MACC through comparisons to TCCON S. Kulawik et al. 10.5194/amt-9-683-2016
26. Intercomparison of Carbon Dioxide Products Retrieved from GOSAT Short-Wavelength Infrared Spectra for Three Years (2010–2012) A. Deng et al. 10.3390/atmos7090109
27. Constraining CO<sub>2</sub> emissions from open biomass burning by satellite observations of co-emitted species: a method and its application to wildfires in Siberia I. Konovalov et al. 10.5194/acp-14-10383-2014
28. On the potential of the ICOS atmospheric CO<sub>2</sub> measurement network for estimating the biogenic CO<sub>2</sub> budget of Europe N. Kadygrov et al. 10.5194/acp-15-12765-2015
29. Error Budget of the MEthane Remote LIdar missioN and Its Impact on the Uncertainties of the Global Methane Budget P. Bousquet et al. 10.1029/2018JD028907
30. Dynamics of atmospheric carbon dioxide over different land cover types in India A. Chhabra & A. Gohel 10.1007/s10661-019-7681-z
31. A conjugate BFGS method for accurate estimation of a posterior error covariance matrix in a linear inverse problem Y. Niwa & Y. Fujii 10.1002/qj.3838
32. Inverse modeling of CO<sub>2</sub> sources and sinks using satellite observations of CO<sub>2</sub> from TES and surface flask measurements R. Nassar et al. 10.5194/acp-11-6029-2011
33. Carbon Monitoring Satellite (CarbonSat): assessment of atmospheric CO<sub>2</sub> and CH<sub>4</sub> retrieval errors by error parameterization M. Buchwitz et al. 10.5194/amt-6-3477-2013
34. Research on global change scientific satellites H. Guo et al. 10.1007/s11430-013-4748-5
35. Geostationary Emission Explorer for Europe (G3E): mission concept and initial performance assessment A. Butz et al. 10.5194/amt-8-4719-2015
36. A Review of Greenhouse Gas Emissions from Agricultural Soil S. Basheer et al. 10.3390/su16114789
37. Double-pulse 2-μm integrated path differential absorption lidar airborne validation for atmospheric carbon dioxide measurement T. Refaat et al. 10.1364/AO.55.004232
38. Influence of monsoons on atmospheric CO2 spatial variability and ground-based monitoring over India Y. Tiwari et al. 10.1016/j.scitotenv.2014.05.045
39. Global inverse modeling of CH<sub>4</sub> sources and sinks: an overview of methods S. Houweling et al. 10.5194/acp-17-235-2017
40. Influence of aerosols and thin cirrus clouds on the GOSAT-observed CO<sub>2</sub>: a case study over Tsukuba O. Uchino et al. 10.5194/acp-12-3393-2012
41. Sensitivity studies for a space-based methane lidar mission C. Kiemle et al. 10.5194/amt-4-2195-2011
42. Designing additional CO2 in-situ surface observation networks over South Korea using bayesian inversion coupled with Lagrangian modelling S. Takele Kenea et al. 10.1016/j.atmosenv.2024.120471
43. AIRS retrieved CO2 and its association with climatic parameters over India during 2004–2011 K. Kumar et al. 10.1016/j.scitotenv.2013.12.118
44. Feasibility study of a space-based high pulse energy 2  μm CO_2 IPDA lidar U. Singh et al. 10.1364/AO.56.006531
45. A Cluster of CO2 Change Characteristics with GOSAT Observations for Viewing the Spatial Pattern of CO2 Emission and Absorption D. Liu et al. 10.3390/atmos6111695
46. Multi-Year Comparison of CO2 Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia F. Mustafa et al. 10.3390/rs12152498
47. A synthesis of carbon dioxide emissions from fossil-fuel combustion R. Andres et al. 10.5194/bg-9-1845-2012
48. Global CO<sub>2</sub> fluxes estimated from GOSAT retrievals of total column CO<sub>2</sub> S. Basu et al. 10.5194/acp-13-8695-2013
49. MERLIN: A French-German Space Lidar Mission Dedicated to Atmospheric Methane G. Ehret et al. 10.3390/rs9101052
50. ATMOSPHERIC CO2 ALGORITHM BASED ON THE 24TH CRUISE OF CHINARE AND ITS APPLICATION TO THE 26TH CRUISE H. Chen et al. 10.3724/SP.J.1084.2013.00278
51. A comparison of atmospheric CO2 concentration GOSAT-based observations and model simulations L. Lei et al. 10.1007/s11430-013-4807-y
52. Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
53. Interpreting seasonal changes of low-tropospheric CO 2 over China based on SCIAMACHY observations during 2003–2011 W. Xi et al. 10.1016/j.atmosenv.2014.12.053
54. Spectral modelling near the 1.6μm window for satellite based estimation of CO2 P. Prasad et al. 10.1016/j.saa.2013.08.035
55. Spatial resolution of tropical terrestrial CO<sub>2</sub> fluxes inferred using space-borne column CO<sub>2</sub> sampled in different earth orbits: the role of spatial error correlations P. Palmer et al. 10.5194/amt-4-1995-2011
56. The impact of transport model differences on CO<sub>2</sub> surface flux estimates from OCO-2 retrievals of column average CO<sub>2</sub> S. Basu et al. 10.5194/acp-18-7189-2018
57. Atmospheric CO<sub>2</sub> source and sink patterns over the Indian region S. Fadnavis et al. 10.5194/angeo-34-279-2016
58. Global and Brazilian Carbon Response to El Niño Modoki 2011–2010 K. Bowman et al. 10.1002/2016EA000204
59. Terrestrial ecosystem carbon flux estimated using GOSAT and OCO-2 XCO<sub>2</sub> retrievals H. Wang et al. 10.5194/acp-19-12067-2019
60. Estimation of fossil-fuel CO<sub>2</sub> emissions using satellite measurements of "proxy" species I. Konovalov et al. 10.5194/acp-16-13509-2016
61. The global distribution of cloud gaps in CALIPSO data C. Kiemle et al. 10.1016/j.jqsrt.2014.12.001
62. The Temporal and Spatial Distributions of the Near-Surface CO2 Concentrations in Central Asia and Analysis of Their Controlling Factors L. Cao et al. 10.3390/atmos8050085
63. XCO2 and XCH4 Reconstruction Using GOSAT Satellite Data Based on EOF-Algorithm F. Lopez et al. 10.3390/rs14112622
64. Greenhouse gas emissions from soils—A review C. Oertel et al. 10.1016/j.chemer.2016.04.002
65. Improvement of the retrieval algorithm for GOSAT SWIR XCO<sub>2</sub> and XCH<sub>4</sub> and their validation using TCCON data Y. Yoshida et al. 10.5194/amt-6-1533-2013
66. Requirements for the GMES Atmosphere Service and ESA's implementation concept: Sentinels-4/-5 and -5p P. Ingmann et al. 10.1016/j.rse.2012.01.023
67. Validation of GOSAT and OCO-2 against In Situ Aircraft Measurements and Comparison with CarbonTracker and GEOS-Chem over Qinhuangdao, China F. Mustafa et al. 10.3390/rs13050899
68. Impacts of atmospheric state uncertainty on O<sub>2</sub> measurement requirements for the ASCENDS mission S. Crowell et al. 10.5194/amt-8-2685-2015
69. Constraining regional greenhouse gas emissions using geostationary concentration measurements: a theoretical study P. Rayner et al. 10.5194/amt-7-3285-2014
70. Seasonal variability of tropospheric CO2 over India based on model simulation, satellite retrieval and in-situ observation M. Krishnapriya et al. 10.1007/s12040-020-01478-x
71. Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system P. Ciais et al. 10.5194/bg-11-3547-2014
72. Spatiotemporal Analysis of XCO2 and Its Relationship to Urban and Green Areas of China’s Major Southern Cities from Remote Sensing and WRF-Chem Modeling Data from 2010 to 2019 Z. Tan et al. 10.3390/geographies3020013
73. On the performance of satellite-based observations of <i>X</i>CO<sub>2</sub> 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
74. Reviews and syntheses: guiding the evolution of the observing system for the carbon cycle through quantitative network design T. Kaminski & P. Rayner 10.5194/bg-14-4755-2017
75. Multiannual changes of CO<sub>2</sub> emissions in China: indirect estimates derived from satellite measurements of tropospheric NO<sub>2</sub> columns E. Berezin et al. 10.5194/acp-13-9415-2013
76. Assessment of the Influence of Instrument Parameters on the Detection Accuracy of Greenhouse-Gases Absorption Spectrometer-2 (GAS-2) S. Li et al. 10.3390/atmos14091418
77. Assessing the impact of satellite, aircraft, and surface observations on CO2flux estimation using an ensemble-based 4-D data assimilation system K. Miyazaki et al. 10.1029/2010JD015366
78. Comparison of Column-Averaged Volume Mixing Ratios of Carbon Dioxide Retrieved From IASI/METOP-A Using KLIMA Algorithm and TANSO-FTS/GOSAT Level 2 Products L. Laurenza et al. 10.1109/JSTARS.2013.2276125