56 citations as recorded by crossref.

1. 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. https://doi.org/10.3390/rs13050899
2. 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
3. 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. https://doi.org/10.5194/amt-9-3491-2016
4. Comparison of CO2 Vertical Profiles in the Lower Troposphere between 1.6 µm Differential Absorption Lidar and Aircraft Measurements Over Tsukuba Y. Shibata et al. https://doi.org/10.3390/s18114064
5. On the effect of spatial variability and support on validation of remote sensing observations of CO2 J. Tadić & A. Michalak https://doi.org/10.1016/j.atmosenv.2016.03.014
6. A Comparison of the Atmospheric CO2Concentrations Obtained by an Inverse Modeling System and Passenger Aircraft Based Measurement H. Kim et al. https://doi.org/10.14191/Atmos.2016.26.3.387
7. Lower-tropospheric CO2 from near-infrared ACOS-GOSAT observations S. Kulawik et al. https://doi.org/10.5194/acp-17-5407-2017
8. Near-infrared open-path measurement of CO_2 concentration in the urban atmosphere H. Saito et al. https://doi.org/10.1364/OL.40.002568
9. FT-IR spectra of 18O-, and 13C-enriched CO2 in the ν3 region: High accuracy frequency calibration and spectroscopic constants for 16O12C18O, 18O12C18O, and 16O13C16O B. Elliott et al. https://doi.org/10.1016/j.jms.2015.02.007
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11. Retrieval of Carbon Dioxide Using Cross-Track Infrared Sounder (CrIS) on S-NPP X. Zhang et al. https://doi.org/10.3390/rs13061163
12. Multi-sensor integrated mapping of global XCO2 from 2015 to 2021 with a local random forest model J. Chen et al. https://doi.org/10.1016/j.isprsjprs.2024.01.009
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15. On Statistical Approaches to Generate Level 3 Products from Satellite Remote Sensing Retrievals A. Zammit-Mangion et al. https://doi.org/10.3390/rs10010155
16. Greenhouse gases Observing SATellite 2 (GOSAT-2): mission overview R. Imasu et al. https://doi.org/10.1186/s40645-023-00562-2
17. Gradients of column CO2 across North America from the NOAA Global Greenhouse Gas Reference Network X. Lan et al. https://doi.org/10.5194/acp-17-15151-2017
18. Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm C. O'Dell et al. https://doi.org/10.5194/amt-11-6539-2018
19. Comparison of XCH4 Derived from g-b FTS and GOSAT and Evaluation Using Aircraft In-Situ Observations over TCCON Site S. Kenea et al. https://doi.org/10.1007/s13143-019-00105-0
20. Influences of aerosols and thin cirrus clouds on GOSAT XCO2 and XCH4 using Total Carbon Column Observing Network, sky radiometer, and lidar data T. Trieu et al. https://doi.org/10.1080/01431161.2022.2038395
21. Quantification of Enhancement in Atmospheric CO2 Background Due to Indian Biospheric Fluxes and Fossil Fuel Emissions S. Halder et al. https://doi.org/10.1029/2021JD034545
22. Comparison of Atmospheric Carbon Dioxide Concentrations Based on GOSAT, OCO-2 Observations and Ground-Based TCCON Data J. Zheng et al. https://doi.org/10.3390/rs15215172
23. Pioneering Micro-Scale Mapping of Urban CO Emissions from Fossil Fuels with GIS L. Khodakarami https://doi.org/10.32604/rig.2024.050908
24. Identification of Bias in Satellite Measurements Using its Geospatial Properties J. Tadic & S. Biraud https://doi.org/10.1109/LGRS.2020.3015174
25. The DOE ARM Aerial Facility B. Schmid et al. https://doi.org/10.1175/BAMS-D-13-00040.1
26. Evaluation of Spatio-Temporal Variogram Models for Mapping Xco2Using Satellite Observations: A Case Study in China L. Guo et al. https://doi.org/10.1109/JSTARS.2014.2363019
27. Intercomparison of Carbon Dioxide Products Retrieved from GOSAT Short-Wavelength Infrared Spectra for Three Years (2010–2012) A. Deng et al. https://doi.org/10.3390/atmos7090109
28. An assessment of a CO2 transport model simulations using surface, aircraft and satellite data (2015–2021) C. Das et al. https://doi.org/10.1016/j.atmosenv.2025.121754
29. Predictors of work engagement in professional musicians during the COVID-19 pandemic M. Rucsanda et al. https://doi.org/10.1177/03057356231211812
30. 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. https://doi.org/10.1134/S102485601501011X
31. Decadal variations in CO2 during agricultural seasons in India and role of management as sustainable approach A. Singh et al. https://doi.org/10.1016/j.eti.2022.102498
32. Two-Year Comparison of Airborne Measurements of CO2 and CH4 With GOSAT at Railroad Valley, Nevada T. Tanaka et al. https://doi.org/10.1109/TGRS.2016.2539973
33. CO2 concentration and its spatiotemporal variation in the troposphere using multi-sensor satellite data, carbon tracker, and aircraft observations S. Lee et al. https://doi.org/10.1080/15481603.2017.1317120
34. Study of the footprints of short-term variation in XCO2 observed by TCCON sites using NIES and FLEXPART atmospheric transport models D. Belikov et al. https://doi.org/10.5194/acp-17-143-2017
35. Estimation of carbon emissions in various clustered regions of China based on OCO-2 satellite XCO2 data and random forest modelling Y. Tan et al. https://doi.org/10.1016/j.atmosenv.2024.120860
36. Algorithm update of the GOSAT/TANSO-FTS thermal infrared CO2 product (version 1) and validation of the UTLS CO2 data using CONTRAIL measurements N. Saitoh et al. https://doi.org/10.5194/amt-9-2119-2016
37. Comparison of XH2O Retrieved from GOSAT Short-Wavelength Infrared Spectra with Observations from the TCCON Network E. Dupuy et al. https://doi.org/10.3390/rs8050414
38. The Influence of Validation Colocation on XCO2 Satellite–Terrestrial Joint Observations R. Li et al. https://doi.org/10.3390/rs15225270
39. An open-path tunable diode laser absorption spectrometer for detection of carbon dioxide at the Bonanza Creek Long-Term Ecological Research Site near Fairbanks, Alaska D. Bailey et al. https://doi.org/10.1007/s00340-017-6814-8
40. New approach to evaluate satellite-derived XCO2 over oceans by integrating ship and aircraft observations A. Müller et al. https://doi.org/10.5194/acp-21-8255-2021
41. Validation of XCH4 derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data M. Inoue et al. https://doi.org/10.5194/amt-7-2987-2014
42. An Approach to Estimate Atmospheric Greenhouse Gas Total Columns Mole Fraction from Partial Column Sampling J. Tadić & S. Biraud https://doi.org/10.3390/atmos9070247
43. Assessment of the Influence of Instrument Parameters on the Detection Accuracy of Greenhouse-Gases Absorption Spectrometer-2 (GAS-2) S. Li et al. https://doi.org/10.3390/atmos14091418
44. 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 https://doi.org/10.5194/amt-13-4009-2020
45. Comparison of Satellite-Observed XCO2 from GOSAT, OCO-2, and Ground-Based TCCON A. Liang et al. https://doi.org/10.3390/rs9101033
46. Mapping contiguous XCO2 by machine learning and analyzing the spatio-temporal variation in China from 2003 to 2019 M. Zhang & G. Liu https://doi.org/10.1016/j.scitotenv.2022.159588
47. Intercomparison of Remote Sensing Retrievals: An Examination of Prior-Induced Biases in Averaging Kernel Corrections H. Nguyen & J. Hobbs https://doi.org/10.3390/rs12193239
48. A method for colocating satellite XCO2 data to ground-based data and its application to ACOS-GOSAT and TCCON H. Nguyen et al. https://doi.org/10.5194/amt-7-2631-2014
49. Observations of XCO2 and XCH4 with ground-based high-resolution FTS at Saga, Japan, and comparisons with GOSAT products H. Ohyama et al. https://doi.org/10.5194/amt-8-5263-2015
50. Generating Daily High-Resolution Regional XCO2 by Deep Neural Network and Multi-Source Data W. Tian et al. https://doi.org/10.3390/atmos15080985
51. Measuring Regional Atmospheric CO2 Concentrations in the Lower Troposphere with a Non-Dispersive Infrared Analyzer Mounted on a UAV, Ogata Village, Akita, Japan T. Chiba et al. https://doi.org/10.3390/atmos10090487
52. Inter-comparison and evaluation of global satellite XCO 2 products H. Yang et al. https://doi.org/10.1080/10095020.2023.2252017
53. Prototype Development of Drone System Used for In-situ Measurement of CO₂ Vertical Profile and Its Preliminary Flight Test H. MADOKORO et al. https://doi.org/10.9746/sicetr.56.37
54. Spatial modeling of micro‐scale carbon dioxide sources and sinks in urban environments: A novel approach to quantify urban impacts on global warming L. Khodakarami https://doi.org/10.1002/ghg.2273
55. Extending methane profiles from aircraft into the stratosphere for satellite total column validation using the ECMWF C-IFS and TOMCAT/SLIMCAT 3-D model S. Verma et al. https://doi.org/10.5194/acp-17-6663-2017
56. Nutrient management may reduce global warming potential of rice cultivation in subtropical India K. Abbhishek et al. https://doi.org/10.1016/j.crsust.2022.100169