120 citations as recorded by crossref.

1. Strategy for high-accuracy-and-precision retrieval of atmospheric methane from the mid-infrared FTIR network R. Sussmann et al. https://doi.org/10.5194/amt-4-1943-2011
2. A Data-Driven Assessment of Biosphere-Atmosphere Interaction Impact on Seasonal Cycle Patterns of XCO2 Using GOSAT and MODIS Observations Z. He et al. https://doi.org/10.3390/rs9030251
3. Detection of open water dynamics with ENVISAT ASAR in support of land surface modelling at high latitudes A. Bartsch et al. https://doi.org/10.5194/bg-9-703-2012
4. The status and development proposal of carbon sources and sinks monitoring satellite system G. Meng et al. https://doi.org/10.1007/s43979-022-00033-5
5. Spatiotemporal variation analysis of global XCO2 concentration during 2010–2020 based on DINEOF-BME framework and wavelet function Z. Gao et al. https://doi.org/10.1016/j.scitotenv.2023.164750
6. Ship- and aircraft-based XCH4 over oceans as a new tool for satellite validation A. Müller et al. https://doi.org/10.5194/amt-17-1297-2024
7. Characterizing the Regional Differences in Carbon Dioxide Concentration Based on Satellite Observations in the Beijing-Tianjin-Hebei Region during 2015–2021 Y. Hou et al. https://doi.org/10.3390/atmos15070816
8. 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. https://doi.org/10.1016/j.rse.2013.04.024
9. The operational methane retrieval algorithm for TROPOMI H. Hu et al. https://doi.org/10.5194/amt-9-5423-2016
10. MAMAP – a new spectrometer system for column-averaged methane and carbon dioxide observations from aircraft: retrieval algorithm and first inversions for point source emission rates T. Krings et al. https://doi.org/10.5194/amt-4-1735-2011
11. High-Resolution Daily XCH4 Prediction Using New Convolutional Neural Network Autoencoder Model and Remote Sensing Data M. Awad & S. Homayouni https://doi.org/10.3390/atmos16070806
12. Multi-Year Comparison of Carbon Dioxide from Satellite Data with Ground-Based FTS Measurements (2003–2011) R. Miao et al. https://doi.org/10.3390/rs5073431
13. Interactive ozone and methane chemistry in GISS-E2 historical and future climate simulations D. Shindell et al. https://doi.org/10.5194/acp-13-2653-2013
14. Analysis of the Spatiotemporal Distribution Pattern of Mid-Tropospheric CO 2 and Its Driving Forces over Central Asia During 2003–2011 L. Cao et al. https://doi.org/10.1080/07038992.2026.2666989
15. Comparison analysis of the global carbon dioxide concentration column derived from SCIAMACHY, AIRS, and GOSAT with surface station measurements L. Zhang et al. https://doi.org/10.1080/01431161.2015.1009656
16. Decoding spatiotemporal dynamics in atmospheric CO2 in Chinese cities: Insights from satellite remote sensing and geographically and temporally weighted regression analysis X. Chen et al. https://doi.org/10.1016/j.scitotenv.2023.167917
17. 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
18. A review of biodiesel production from microalgae S. Dickinson et al. https://doi.org/10.1007/s10098-016-1309-6
19. Large methane emission upon spring thaw from natural wetlands in the northern permafrost region C. Song et al. https://doi.org/10.1088/1748-9326/7/3/034009
20. SCIAMACHY WFM-DOAS XCO2: reduction of scattering related errors J. Heymann et al. https://doi.org/10.5194/amt-5-2375-2012
21. Trace Gas Remote Sensing by Lasers O. Lux et al. https://doi.org/10.1002/opph.201300029
22. A Cluster of CO2 Change Characteristics with GOSAT Observations for Viewing the Spatial Pattern of CO2 Emission and Absorption D. Liu et al. https://doi.org/10.3390/atmos6111695
23. Advances in retrieving XCH4 and XCO from Sentinel-5 Precursor: improvements in the scientific TROPOMI/WFMD algorithm O. Schneising et al. https://doi.org/10.5194/amt-16-669-2023
24. Towards constraints on fossil fuel emissions from total column carbon dioxide G. Keppel-Aleks et al. https://doi.org/10.5194/acp-13-4349-2013
25. Мониторинг парниковых газов в открытой атмосфере методом фурье-спектроскопии И. Голяк et al. https://doi.org/10.31857/S0207401X23040088
26. The ESA Climate Change Initiative: Satellite Data Records for Essential Climate Variables R. Hollmann et al. https://doi.org/10.1175/BAMS-D-11-00254.1
27. Water vapour and methane coupling in the stratosphere observed using SCIAMACHY solar occultation measurements S. Noël et al. https://doi.org/10.5194/acp-18-4463-2018
28. Profiling tropospheric CO2 using Aura TES and TCCON instruments L. Kuai et al. https://doi.org/10.5194/amt-6-63-2013
29. Leveraging TROPOMI observations and WRF-GHG modeling towards improving methane emission assessments in India T. Mathew et al. https://doi.org/10.5194/acp-26-4453-2026
30. Greenhouse gas measurements over a 144 km open path in the Canary Islands J. Brooke et al. https://doi.org/10.5194/amt-5-2309-2012
31. AIRS retrieved CO2 and its association with climatic parameters over India during 2004–2011 K. Kumar et al. https://doi.org/10.1016/j.scitotenv.2013.12.118
32. Remote sensing of methane leakage from natural gas and petroleum systems revisited O. Schneising et al. https://doi.org/10.5194/acp-20-9169-2020
33. Spatial and Temporal Variations of Atmospheric CO2 Concentration in China and Its Influencing Factors Z. Lv et al. https://doi.org/10.3390/atmos11030231
34. Assessing 5 years of GOSAT Proxy XCH4 data and associated uncertainties R. Parker et al. https://doi.org/10.5194/amt-8-4785-2015
35. A scientific algorithm to simultaneously retrieve carbon monoxide and methane from TROPOMI onboard Sentinel-5 Precursor O. Schneising et al. https://doi.org/10.5194/amt-12-6771-2019
36. Analysis of the carbon dioxide concentration in the lowest atmospheric layers and the factors affecting China based on satellite observations Y. Hou et al. https://doi.org/10.1080/01431161.2012.730159
37. Region-dependent seasonal pattern of methane over Indian region as observed by SCIAMACHY M. Kavitha & P. Nair https://doi.org/10.1016/j.atmosenv.2016.02.008
38. Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems M. Scholze et al. https://doi.org/10.5194/bg-14-3401-2017
39. Transcontinental methane measurements: Part 1. A mobile surface platform for source investigations P. Farrell et al. https://doi.org/10.1016/j.atmosenv.2013.02.014
40. CO2-neutral fuels A. Goede et al. https://doi.org/10.1051/epjconf/20159807002
41. Satellite-inferred European carbon sink larger than expected M. Reuter et al. https://doi.org/10.5194/acp-14-13739-2014
42. Effect of heterogeneous atmospheric CO2 on simulated global carbon budget Z. Zhang et al. https://doi.org/10.1016/j.gloplacha.2012.12.002
43. Interpreting seasonal changes of low-tropospheric CO 2 over China based on SCIAMACHY observations during 2003–2011 W. Xi et al. https://doi.org/10.1016/j.atmosenv.2014.12.053
44. Seasonal variability and long-term evolution of tropospheric composition in the tropics and Southern Hemisphere K. Wai et al. https://doi.org/10.5194/acp-14-4859-2014
45. Using TROPOspheric Monitoring Instrument (TROPOMI) measurements and Weather Research and Forecasting (WRF) CO modelling to understand the contribution of meteorology and emissions to an extreme air pollution event in India A. Vellalassery et al. https://doi.org/10.5194/acp-21-5393-2021
46. Study on the Impact of the Doppler Shift for CO2 Lidar Remote Sensing X. Cao et al. https://doi.org/10.3390/rs14184620
47. TransCom satellite intercomparison experiment: Construction of a bias corrected atmospheric CO2climatology R. Saito et al. https://doi.org/10.1029/2011JD016033
48. Atmospheric variability of methane over Pakistan, Afghanistan and adjoining areas using retrievals from SCIAMACHY/ENVISAT Z. ul-Haq et al. https://doi.org/10.1016/j.jastp.2015.11.002
49. On the influence of underlying elevation data on Sentinel-5 Precursor TROPOMI satellite methane retrievals over Greenland J. Hachmeister et al. https://doi.org/10.5194/amt-15-4063-2022
50. Monitoring fossil fuel CO2 emissions from co-emitted NO2 observed from space: progress, challenges, and future perspectives H. Li et al. https://doi.org/10.1007/s11783-025-1922-x
51. Stratospheric CH4 and CO2 profiles derived from SCIAMACHY solar occultation measurements S. Noël et al. https://doi.org/10.5194/amt-9-1485-2016
52. East Asian CO2 level change caused by Pacific Decadal Oscillation Y. Hsueh et al. https://doi.org/10.1016/j.rse.2021.112624
53. Comparison analysis of global methane concentration derived from SCIAMACHY, AIRS, and GOSAT with surface station measurements L. Zhang et al. https://doi.org/10.1080/01431161.2020.1846221
54. 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. https://doi.org/10.5194/acp-14-133-2014
55. Long-term pH trends across depth in coastal areas of the southeastern Bay of Biscay E. Villarino et al. https://doi.org/10.1016/j.csr.2025.105532
56. Renewed methane increase for five years (2007–2011) observed by solar FTIR spectrometry R. Sussmann et al. https://doi.org/10.5194/acp-12-4885-2012
57. Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data S. Vanselow et al. https://doi.org/10.5194/acp-24-10441-2024
58. The potential of CO2 satellite monitoring for climate governance: A review G. Pan et al. https://doi.org/10.1016/j.jenvman.2020.111423
59. Impact of Siberian observations on the optimization of surface CO2 flux J. Kim et al. https://doi.org/10.5194/acp-17-2881-2017
60. Transcontinental methane measurements: Part 2. Mobile surface investigation of fossil fuel industrial fugitive emissions I. Leifer et al. https://doi.org/10.1016/j.atmosenv.2013.03.018
61. Comparison of the HadGEM2 climate-chemistry model against in situ and SCIAMACHY atmospheric methane data G. Hayman et al. https://doi.org/10.5194/acp-14-13257-2014
62. 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
63. The Orbiting Carbon Observatory-2 early science investigations of regional carbon dioxide fluxes A. Eldering et al. https://doi.org/10.1126/science.aam5745
64. Influence of El Niño on atmospheric CO 2 over the tropical Pacific Ocean: Findings from NASA’s OCO-2 mission A. Chatterjee et al. https://doi.org/10.1126/science.aam5776
65. Large XCH4 anomaly in summer 2013 over northeast Asia observed by GOSAT M. Ishizawa et al. https://doi.org/10.5194/acp-16-9149-2016
66. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. https://doi.org/10.1029/2019RG000652
67. Quantification of methane emission rates from coal mine ventilation shafts using airborne remote sensing data T. Krings et al. https://doi.org/10.5194/amt-6-151-2013
68. Detecting the Sources of Methane Emission from Oil Shale Mining and Processing Using Airborne Hyperspectral Data C. Xiao et al. https://doi.org/10.3390/rs12030537
69. Simulated retrievals for the remote sensing of CO2, CH4, CO, and H2O from geostationary orbit X. Xi et al. https://doi.org/10.5194/amt-8-4817-2015
70. The greenhouse gas observation mission with Global Observing SATellite for Greenhouse gases and Water cycle (GOSAT-GW): objectives, conceptual framework and scientific contributions H. Tanimoto et al. https://doi.org/10.1186/s40645-025-00684-9
71. SCIAMACHY WFM-DOAS XCO2: comparison with CarbonTracker XCO2 focusing on aerosols and thin clouds J. Heymann et al. https://doi.org/10.5194/amt-5-1935-2012
72. The Greenhouse Gas Climate Change Initiative (GHG-CCI): comparative validation of GHG-CCI SCIAMACHY/ENVISAT and TANSO-FTS/GOSAT CO2 and CH4 retrieval algorithm products with measurements from the TCCON B. Dils et al. https://doi.org/10.5194/amt-7-1723-2014
73. Long-Term Trends and Spatiotemporal Variations in Atmospheric XCH4 over China Utilizing Satellite Observations J. Xu et al. https://doi.org/10.3390/atmos13040525
74. Anthropogenic carbon dioxide source areas observed from space: assessment of regional enhancements and trends O. Schneising et al. https://doi.org/10.5194/acp-13-2445-2013
75. Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation K. Hu et al. https://doi.org/10.3390/rs16183394
76. 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. https://doi.org/10.5194/amt-13-789-2020
77. A Random Forest-Based CO2 Profile Emulator for Real-Time Prior Profile Generation in TanSat XCO2 Retrieval S. Wu et al. https://doi.org/10.3390/rs17162764
78. The ACOS CO2 retrieval algorithm – Part 1: Description and validation against synthetic observations C. O'Dell et al. https://doi.org/10.5194/amt-5-99-2012
79. A multi-year methane inversion using SCIAMACHY, accounting for systematic errors using TCCON measurements S. Houweling et al. https://doi.org/10.5194/acp-14-3991-2014
80. Retrieval of atmospheric CH4profiles from Fourier transform infrared data using dimension reduction and MCMC S. Tukiainen et al. https://doi.org/10.1002/2015JD024657
81. A study of measurement scenarios for the future CO2M mission: avoidance of detector saturation and the impact on XCO2 retrievals M. Weimer et al. https://doi.org/10.5194/amt-18-3321-2025
82. Non-homogeneous vertical distribution of methane over Indian region using surface, aircraft and satellite based data M. Kavitha & P. Nair https://doi.org/10.1016/j.atmosenv.2016.06.068
83. Monitoring Greenhouse Gases in the Open Atmosphere by the Fourier Spectroscopy Method I. Golyak et al. https://doi.org/10.1134/S1990793123020264
84. Impact of ENSO on variability of AIRS retrieved CO2 over India K. Ravi Kumar et al. https://doi.org/10.1016/j.atmosenv.2016.07.001
85. Global-Scale Evaluation of XCO2 Products from GOSAT, OCO-2 and CarbonTracker Using Direct Comparison and Triple Collocation Method Y. Chen et al. https://doi.org/10.3390/rs14225635
86. Total column water vapour from along track scanning radiometer series using thermal infrared dual view ocean cloud free measurements: The Advanced Infra-Red WAter Vapour Estimator (AIRWAVE) algorithm S. Casadio et al. https://doi.org/10.1016/j.rse.2015.10.037
87. Spatial and Temporal Variations of Lower Tropospheric Methane During 2010–2011 in China Y. Xu et al. https://doi.org/10.1109/JSTARS.2012.2195640
88. A simple empirical model estimating atmospheric CO2 background concentrations M. Reuter et al. https://doi.org/10.5194/amt-5-1349-2012
89. Prelaunch spectral calibration of a carbon dioxide spectrometer Z. Li et al. https://doi.org/10.1088/1361-6501/aa6507
90. Sensitivity studies for a space-based methane lidar mission C. Kiemle et al. https://doi.org/10.5194/amt-4-2195-2011
91. 基于GF-5卫星遥感数据的大气CO2快速反演方法 孙. Sun Zhiqiang et al. https://doi.org/10.3788/AOS231995
92. Regional Methane Emission Estimation Based on Observed Atmospheric Concentrations (2002-2012) P. PATRA et al. https://doi.org/10.2151/jmsj.2016-006
93. Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH4 data with weak-constraint four-dimensional variational data assimilation I. Stanevich et al. https://doi.org/10.5194/acp-21-9545-2021
94. Spatial distributions of XCO2 seasonal cycle amplitude and phase over northern high-latitude regions N. Jacobs et al. https://doi.org/10.5194/acp-21-16661-2021
95. Estimating regional methane surface fluxes: the relative importance of surface and GOSAT mole fraction measurements A. Fraser et al. https://doi.org/10.5194/acp-13-5697-2013
96. Study of satellite retrieved CO2 and CH4 concentration over India P. Prasad et al. https://doi.org/10.1016/j.asr.2014.07.021
97. Space- and ground-based CO2 measurements: A review T. Yue et al. https://doi.org/10.1007/s11430-015-0239-7
98. Earth’s Climate History from 4.5 Billion Years to One Minute J. Lin & T. Qian https://doi.org/10.1080/07055900.2022.2082914
99. TROPOMI aboard Sentinel-5 Precursor: Prospective performance of CH4 retrievals for aerosol and cirrus loaded atmospheres A. Butz et al. https://doi.org/10.1016/j.rse.2011.05.030
100. Spatial distribution of greenhouse gas concentrations in arid and semi-arid regions: A case study in East Asia M. Guo et al. https://doi.org/10.1016/j.jaridenv.2013.01.001
101. Multi-species chemical data assimilation with the Danish Eulerian hemispheric model: system description and verification J. Silver et al. https://doi.org/10.1007/s10874-015-9326-0
102. Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set M. Buchwitz et al. https://doi.org/10.1016/j.rse.2016.12.027
103. Atmospheric Carbon Dioxide Satellite Remote Sensing Retrieval Accuracy Inspection and Spatio-temporal Characteristics Analysis Q. HE et al. https://doi.org/10.3724/SP.J.1047.2012.00250
104. Atmospheric greenhouse gases retrieved from SCIAMACHY: comparison to ground-based FTS measurements and model results O. Schneising et al. https://doi.org/10.5194/acp-12-1527-2012
105. Estimate of methane release from temperate natural wetlands using ENVISAT/SCIAMACHY data in China X. Zhang et al. https://doi.org/10.1016/j.atmosenv.2012.12.023
106. An analysis of the global spatial variability of column-averaged CO2 from SCIAMACHY and its implications for CO2 sources and sinks Z. Zhang et al. https://doi.org/10.1080/01431161.2014.885151
107. The Temporal and Spatial Distributions of the Near-Surface CO2 Concentrations in Central Asia and Analysis of Their Controlling Factors L. Cao et al. https://doi.org/10.3390/atmos8050085
108. Methane. A review A. Van Amstel https://doi.org/10.1080/1943815X.2012.694892
109. Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics Z. Zeng et al. https://doi.org/10.1080/17538947.2016.1156777
110. Satellite-derived methane hotspot emission estimates using a fast data-driven method M. Buchwitz et al. https://doi.org/10.5194/acp-17-5751-2017
111. Towards space based verification of CO2 emissions from strong localized sources: fossil fuel power plant emissions as seen by a CarbonSat constellation V. Velazco et al. https://doi.org/10.5194/amt-4-2809-2011
112. Variations in Column Concentration of Greenhouse Gases in China and Their Response to the 2015–2016 El Niño Event N. Liu et al. https://doi.org/10.1007/s13351-024-3160-8
113. A joint effort to deliver satellite retrieved atmospheric CO2 concentrations for surface flux inversions: the ensemble median algorithm EMMA M. Reuter et al. https://doi.org/10.5194/acp-13-1771-2013
114. The description and validation of the computationally Efficient CH4–CO–OH (ECCOHv1.01) chemistry module for 3-D model applications Y. Elshorbany et al. https://doi.org/10.5194/gmd-9-799-2016
115. Stable and wavelength-locked Q-switched narrow-linewidth Er:YAG laser at 1645 nm P. Tang et al. https://doi.org/10.1364/OE.23.011037
116. Spatial-temporal variation in XCH4 during 2009–2021 and its driving factors across the land of the Northern Hemisphere X. Cao et al. https://doi.org/10.1016/j.atmosres.2023.106811
117. Severe Californian wildfires in November 2018 observed from space: the carbon monoxide perspective O. Schneising et al. https://doi.org/10.5194/acp-20-3317-2020
118. Carbon Monitoring Satellite (CarbonSat): assessment of atmospheric CO2 and CH4 retrieval errors by error parameterization M. Buchwitz et al. https://doi.org/10.5194/amt-6-3477-2013
119. SCIAMACHY observed changes in the column mixing ratio of methane over the Indian region and a comparison with global scenario M. Kavitha & P. Nair https://doi.org/10.1016/j.atmosenv.2017.07.044
120. A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering—Part 2: Application to XCO2 Retrievals from OCO-2 M. Reuter et al. https://doi.org/10.3390/rs9111102