132 citations as recorded by crossref.

1. The CarbonTracker Data Assimilation Shell (CTDAS) v1.0: implementation and global carbon balance 2001–2015 I. van der Laan-Luijkx et al. 10.5194/gmd-10-2785-2017
2. Spatially resolved evaluation of Earth system models with satellite column-averaged CO<sub>2</sub> B. Gier et al. 10.5194/bg-17-6115-2020
3. Algorithm update of the GOSAT/TANSO-FTS thermal infrared CO<sub>2</sub> product (version 1) and validation of the UTLS CO<sub>2</sub> data using CONTRAIL measurements N. Saitoh et al. 10.5194/amt-9-2119-2016
4. 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
5. The Potential of the Geostationary Carbon Cycle Observatory (GeoCarb) to Provide Multi-scale Constraints on the Carbon Cycle in the Americas B. Moore III et al. 10.3389/fenvs.2018.00109
6. Sensitivity analysis of the potential impact of discrepancies in stratosphere–troposphere exchange on inferred sources and sinks of CO<sub>2</sub> F. Deng et al. 10.5194/acp-15-11773-2015
7. Evaluation of Spatio-Temporal Variogram Models for Mapping Xco2 Using Satellite Observations: A Case Study in China L. Guo et al. 10.1109/JSTARS.2014.2363019
8. Inverse modeling of GOSAT-retrieved ratios of total column CH<sub>4</sub> and CO<sub>2</sub> for 2009 and 2010 S. Pandey et al. 10.5194/acp-16-5043-2016
9. Spatial and temporal distribution and seasonal prediction of satellite measurement of CO2 concentration over Iran F. Golkar & A. Shirvani 10.1080/01431161.2020.1788743
10. How Much CO2 Is Taken Up by the European Terrestrial Biosphere? M. Reuter et al. 10.1175/BAMS-D-15-00310.1
11. A 4D-Var inversion system based on the icosahedral grid model (NICAM-TM 4D-Var v1.0) – Part 2: Optimization scheme and identical twin experiment of atmospheric CO<sub>2</sub> inversion Y. Niwa et al. 10.5194/gmd-10-2201-2017
12. Inter-annual variability of summertime CO 2 exchange in Northern Eurasia inferred from GOSAT XCO 2 M. Ishizawa et al. 10.1088/1748-9326/11/10/105001
13. Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories F. Wang et al. 10.3390/rs11212489
14. In situ carbon deposition in polyetherimide/SAPO-34 mixed matrix membrane for efficient CO2 /CH4 separation M. Sen & N. Das 10.1002/app.45508
15. Carbon monitoring system flux estimation and attribution: impact of ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric sources and sinks J. Liu et al. 10.3402/tellusb.v66.22486
16. Satellite-based estimates of decline and rebound in China’s CO 2 emissions during COVID-19 pandemic B. Zheng et al. 10.1126/sciadv.abd4998
17. 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
18. Country-Scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations R. Janardanan et al. 10.3390/rs12030375
19. On the Ability of Space-Based Passive and Active Remote Sensing Observations of CO2 to Detect Flux Perturbations to the Carbon Cycle S. Crowell et al. 10.1002/2017JD027836
20. Regional‐Scale, Sector‐Specific Evaluation of Global CO 2 Inversion Models Using Aircraft Data From the ACT‐America Project B. Gaudet et al. 10.1029/2020JD033623
21. Spatial and Temporal Variations of Atmospheric CO2 Concentration in China and Its Influencing Factors Z. Lv et al. 10.3390/atmos11030231
22. Bias assessment of lower and middle tropospheric CO<sub>2</sub> concentrations of GOSAT/TANSO-FTS TIR version 1 product N. Saitoh et al. 10.5194/amt-10-3877-2017
23. 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
24. Atmospheric CO<sub>2</sub> inversions on the mesoscale using data-driven prior uncertainties: quantification of the European terrestrial CO<sub>2</sub> fluxes P. Kountouris et al. 10.5194/acp-18-3047-2018
25. Enhanced methane emissions from tropical wetlands during the 2011 La Niña S. Pandey et al. 10.1038/srep45759
26. Potential improvements in global carbon flux estimates from a network of laser heterodyne radiometer measurements of column carbon dioxide P. Palmer et al. 10.5194/amt-12-2579-2019
27. Constraining a terrestrial biosphere model with remotely sensed atmospheric carbon dioxide T. Kaminski et al. 10.1016/j.rse.2017.08.017
28. Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
29. Consistent regional fluxes of CH<sub>4</sub> and CO<sub>2</sub> inferred from GOSAT proxy XCH<sub>4</sub> : XCO<sub>2</sub> retrievals, 2010–2014 L. Feng et al. 10.5194/acp-17-4781-2017
30. Can a regional-scale reduction of atmospheric CO<sub>2</sub> during the COVID-19 pandemic be detected from space? A case study for East China using satellite XCO<sub>2</sub> retrievals M. Buchwitz et al. 10.5194/amt-14-2141-2021
31. Full-physics carbon dioxide retrievals from the Orbiting Carbon Observatory-2 (OCO-2) satellite by only using the 2.06 µm band L. Wu et al. 10.5194/amt-12-6049-2019
32. Dynamical Downscaling of CO 2 in 2016 Over the Contiguous United States Using WRF‐VPRM, a Weather‐Biosphere‐Online‐Coupled Model X. Hu et al. 10.1029/2019MS001875
33. Satellite-inferred European carbon sink larger than expected M. Reuter et al. 10.5194/acp-14-13739-2014
34. Estimates of European uptake of CO<sub>2</sub> inferred from GOSAT X<sub>CO<sub>2</sub></sub> retrievals: sensitivity to measurement bias inside and outside Europe L. Feng et al. 10.5194/acp-16-1289-2016
35. Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
36. A methodology to constrain carbon dioxide emissions from coal-fired power plants using satellite observations of co-emitted nitrogen dioxide F. Liu et al. 10.5194/acp-20-99-2020
37. A comparison of posterior atmospheric CO<sub>2</sub> adjustments obtained from in situ and GOSAT constrained flux inversions S. Polavarapu et al. 10.5194/acp-18-12011-2018
38. Quantification of Enhancement in Atmospheric CO 2 Background Due to Indian Biospheric Fluxes and Fossil Fuel Emissions S. Halder et al. 10.1029/2021JD034545
39. Validation of OCO-2 error analysis using simulated retrievals S. Kulawik et al. 10.5194/amt-12-5317-2019
40. Mapping spectroscopic uncertainties into prospective methane retrieval errors from Sentinel-5 and its precursor R. Checa-Garcia et al. 10.5194/amt-8-3617-2015
41. 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
42. On the effects of aviation on carbon-methane cycles and climate change during the period 2015-2100 C. Varotsos et al. 10.1016/j.apr.2020.08.033
43. Terrestrial CO 2 Fluxes, Concentrations, Sources and Budget in Northeast China: Observational and Modeling Studies X. Li et al. 10.1029/2019JD031686
44. A global synthesis inversion analysis of recent variability in CO<sub>2</sub> fluxes using GOSAT and in situ observations J. Wang et al. 10.5194/acp-18-11097-2018
45. In situ observations of greenhouse gases over Europe during the CoMet 1.0 campaign aboard the HALO aircraft M. Gałkowski et al. 10.5194/amt-14-1525-2021
46. The First Global Carbon Dioxide Flux Map Derived from TanSat Measurements D. Yang et al. 10.1007/s00376-021-1179-7
47. Interannual and Seasonal Cycles of CO2 from GOSAT and AIRS N. Ying et al. 10.1088/1755-1315/237/2/022003
48. Important evidence of constant low CO2 windows and impacts on the non-closure of the greenhouse effect J. Zhao et al. 10.1038/s41598-019-41562-x
49. On the statistical optimality of CO<sub>2</sub> atmospheric inversions assimilating CO<sub>2</sub> column retrievals F. Chevallier 10.5194/acp-15-11133-2015
50. Influence of CO<sub>2</sub> observations on the optimized CO<sub>2</sub> flux in an ensemble Kalman filter J. Kim et al. 10.5194/acp-14-13515-2014
51. Characterizing biospheric carbon balance using CO<sub>2</sub> observations from the OCO-2 satellite S. Miller et al. 10.5194/acp-18-6785-2018
52. Comparison between the Local Ensemble Transform Kalman Filter (LETKF) and 4D‐Var in atmospheric CO 2 flux inversion with the Goddard Earth Observing System‐Chem model and the observation impact diagnostics from the LETKF J. Liu et al. 10.1002/2016JD025100
53. Spatial distributions of <i>X</i><sub>CO<sub>2</sub></sub> seasonal cycle amplitude and phase over northern high-latitude regions N. Jacobs et al. 10.5194/acp-21-16661-2021
54. Analyzing temporo-spatial changes and the distribution of the CO2 concentration in Australia from 2009 to 2016 by greenhouse gas monitoring satellites S. Yin et al. 10.1016/j.atmosenv.2018.08.043
55. Design of a high-coverage ground-based CO2 monitoring layout using a novel information theory-based optimization model P. Bakhtiari et al. 10.1007/s10661-021-08933-2
56. Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years J. Xiao et al. 10.1016/j.rse.2019.111383
57. New perspective for eco-hydrology model to constrain missing role of inland waters on boundless biogeochemical cycle in terrestrial–aquatic continuum T. Nakayama 10.1016/j.ecohyd.2016.07.002
58. 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
59. Evaluating consistency between total column CO<sub>2</sub> retrievals from OCO-2 and the in situ network over North America: implications for carbon flux estimation B. Rastogi et al. 10.5194/acp-21-14385-2021
60. Benefits of satellite XCO2 and newly proposed atmospheric CO2 observation network over India in constraining regional CO2 fluxes S. Halder et al. 10.1016/j.scitotenv.2021.151508
61. CO2 Flux over the Contiguous United States in 2016 Inverted by WRF-Chem/DART from OCO-2 XCO2 Retrievals Q. Zhang et al. 10.3390/rs13152996
62. 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
63. Assimilation of OCO-2 retrievals with WRF-Chem/DART: A case study for the Midwestern United States Q. Zhang et al. 10.1016/j.atmosenv.2020.118106
64. The potential of clear-sky carbon dioxide satellite retrievals R. Nelson et al. 10.5194/amt-9-1671-2016
65. A 4D-Var inversion system based on the icosahedral grid model (NICAM-TM 4D-Var v1.0) – Part 1: Offline forward and adjoint transport models Y. Niwa et al. 10.5194/gmd-10-1157-2017
66. Comparing simulated atmospheric carbon dioxide concentration with GOSAT retrievals H. Zhang et al. 10.1007/s11434-014-0676-9
67. Performance simulations for a spaceborne methane lidar mission C. Kiemle et al. 10.1002/2013JD021253
68. How bias correction goes wrong: measurement of X<sub>CO<sub>2</sub></sub> affected by erroneous surface pressure estimates M. Kiel et al. 10.5194/amt-12-2241-2019
69. Prior biosphere model impact on global terrestrial CO<sub>2</sub> fluxes estimated from OCO-2 retrievals S. Philip et al. 10.5194/acp-19-13267-2019
70. Spatial and Temporal Distributions of Atmospheric CO2 in East China Based on Data from Three Satellites B. Li et al. 10.1007/s00376-020-0123-6
71. Inverse modelling of carbonyl sulfide: implementation, evaluation and implications for the global budget J. Ma et al. 10.5194/acp-21-3507-2021
72. Global atmospheric CO<sub>2</sub> inverse models converging on neutral tropical land exchange, but disagreeing on fossil fuel and atmospheric growth rate B. Gaubert et al. 10.5194/bg-16-117-2019
73. Spatial and temporal change patterns of near-surface CO2 and CH4 concentrations in different permafrost regions on the Mongolian Plateau from 2010 to 2017 S. Adiya et al. 10.1016/j.scitotenv.2021.149433
74. Toward robust and consistent regional CO2 flux estimates from in situ and spaceborne measurements of atmospheric CO2 F. Chevallier et al. 10.1002/2013GL058772
75. Consistent evaluation of ACOS-GOSAT, BESD-SCIAMACHY, CarbonTracker, and MACC through comparisons to TCCON S. Kulawik et al. 10.5194/amt-9-683-2016
76. Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm C. O'Dell et al. 10.5194/amt-11-6539-2018
77. Global Terrestrial Ecosystem Carbon Flux Inferred from TanSat XCO2 Retrievals H. Wang et al. 10.34133/2022/9816536
78. Analysis of Carbon Flux in Terrestrial Ecosystems from GOSAT Data in China L. Zhang et al. 10.1051/e3sconf/20185303012
79. 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
80. Designing the Climate Observing System of the Future E. Weatherhead et al. 10.1002/2017EF000627
81. A Lagrangian approach towards extracting signals of urban CO<sub>2</sub> emissions from satellite observations of atmospheric column CO<sub>2</sub> (XCO<sub>2</sub>): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”) D. Wu et al. 10.5194/gmd-11-4843-2018
82. Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. 10.5194/gmd-11-1725-2018
83. The potential of Orbiting Carbon Observatory-2 data to reduce the uncertainties in CO<sub>2</sub> surface fluxes over Australia using a variational assimilation scheme Y. Villalobos et al. 10.5194/acp-20-8473-2020
84. Comparing the CarbonTracker and TM5-4DVar data assimilation systems for CO<sub>2</sub> surface flux inversions A. Babenhauserheide et al. 10.5194/acp-15-9747-2015
85. Observation and integrated Earth-system science: A roadmap for 2016–2025 A. Simmons et al. 10.1016/j.asr.2016.03.008
86. Was Australia a sink or source of CO<sub>2</sub> in 2015? Data assimilation using OCO-2 satellite measurements Y. Villalobos et al. 10.5194/acp-21-17453-2021
87. Versatile and Targeted Validation of Space-Borne XCO2, XCH4 and XCO Observations by Mobile Ground-Based Direct-Sun Spectrometers A. Butz et al. 10.3389/frsen.2021.775805
88. The Open-source Data Inventory for Anthropogenic CO<sub>2</sub>, version 2016 (ODIAC2016): a global monthly fossil fuel CO<sub>2</sub> gridded emissions data product for tracer transport simulations and surface flux inversions T. Oda et al. 10.5194/essd-10-87-2018
89. 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
90. The impact of spectral resolution on satellite retrieval accuracy of CO<sub>2</sub> and CH<sub>4</sub> A. Galli et al. 10.5194/amt-7-1105-2014
91. Atmospheric Simulations of Total Column CO2 Mole Fractions from Global to Mesoscale within the Carbon Monitoring System Flux Inversion Framework M. Butler et al. 10.3390/atmos11080787
92. An approach for verifying biogenic greenhouse gas emissions inventories with atmospheric CO 2 concentration data S. Ogle et al. 10.1088/1748-9326/10/3/034012
93. Improved Constraints on Northern Extratropical CO 2 Fluxes Obtained by Combining Surface‐Based and Space‐Based Atmospheric CO 2 Measurements B. Byrne et al. 10.1029/2019JD032029
94. Regional CO<sub>2</sub> inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0 G. Monteil & M. Scholze 10.5194/gmd-14-3383-2021
95. 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
96. A singular value decomposition framework for retrievals with vertical distribution information from greenhouse gas column absorption spectroscopy measurements A. Ramanathan et al. 10.5194/amt-11-4909-2018
97. 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
98. The impact of improved aerosol priors on near-infrared measurements of carbon dioxide R. Nelson & C. O'Dell 10.5194/amt-12-1495-2019
99. Constraints on methane emissions in North America from future geostationary remote-sensing measurements N. Bousserez et al. 10.5194/acp-16-6175-2016
100. Toward an Operational Anthropogenic CO2 Emissions Monitoring and Verification Support Capacity G. Janssens-Maenhout et al. 10.1175/BAMS-D-19-0017.1
101. Global and Brazilian Carbon Response to El Niño Modoki 2011-2010 K. Bowman et al. 10.1002/2016EA000204
102. Climate-smart soils K. Paustian et al. 10.1038/nature17174
103. Analyzing CO2 concentration changes and their influencing factors in Indonesia by OCO-2 and other multi-sensor remote-sensing data S. Yin et al. 10.1080/17538947.2017.1359344
104. Multi‐Season Evaluation of CO 2 Weather in OCO‐2 MIP Models L. Zhang et al. 10.1029/2021JD035457
105. 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
106. Source-receptor relationships of column-average CO2and implications for the impact of observations on flux inversions J. Liu et al. 10.1002/2014JD022914
107. The Adaptable 4A Inversion (5AI): description and first <i>X</i><sub>CO<sub>2</sub></sub> retrievals from Orbiting Carbon Observatory-2 (OCO-2) observations M. Dogniaux et al. 10.5194/amt-14-4689-2021
108. Combining GOSAT X CO2 observations over land and ocean to improve regional CO2 flux estimates F. Deng et al. 10.1002/2015JD024157
109. Effect of Data Assimilation Parameters on The Optimized Surface CO2 Flux in Asia H. Kim et al. 10.1007/s13143-017-0049-9
110. Mapping of satellite Earth observations using moving window block kriging J. Tadić et al. 10.5194/gmd-8-3311-2015
111. The potential of satellite spectro-imagery for monitoring CO<sub>2</sub> emissions from large cities G. Broquet et al. 10.5194/amt-11-681-2018
112. The NASA Carbon Airborne Flux Experiment (CARAFE): instrumentation and methodology G. Wolfe et al. 10.5194/amt-11-1757-2018
113. New approach to evaluate satellite-derived XCO<sub>2</sub> over oceans by integrating ship and aircraft observations A. Müller et al. 10.5194/acp-21-8255-2021
114. The 2015–2016 carbon cycle as seen from OCO-2 and the global in situ network S. Crowell et al. 10.5194/acp-19-9797-2019
115. WOMBAT v1.0: a fully Bayesian global flux-inversion framework A. Zammit-Mangion et al. 10.5194/gmd-15-45-2022
116. A multi-year methane inversion using SCIAMACHY, accounting for systematic errors using TCCON measurements S. Houweling et al. 10.5194/acp-14-3991-2014
117. The Effect of GOSAT Observations on Estimates of Net CO₂ Flux in Semi-Arid Regions of the Southern Hemisphere M. Kondo et al. 10.2151/sola.2016-037
118. Shipborne measurements of XCO<sub>2</sub>, XCH<sub>4</sub>, and XCO above the Pacific Ocean and comparison to CAMS atmospheric analyses and S5P/TROPOMI M. Knapp et al. 10.5194/essd-13-199-2021
119. 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
120. On the use of satellite-derived CH<sub>4</sub> : CO<sub>2</sub> columns in a joint inversion of CH<sub>4</sub> and CO<sub>2</sub> fluxes S. Pandey et al. 10.5194/acp-15-8615-2015
121. Net CO<sub>2</sub> fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes A. Babenhauserheide et al. 10.5194/amt-13-2697-2020
122. Adjoint of the global Eulerian–Lagrangian coupled atmospheric transport model (A-GELCA v1.0): development and validation D. Belikov et al. 10.5194/gmd-9-749-2016
123. Determination of Region of Influence Obtained by Aircraft Vertical Profiles Using the Density of Trajectories from the HYSPLIT Model H. Cassol et al. 10.3390/atmos11101073
124. An intercomparison of inverse models for estimating sources and sinks of CO2using GOSAT measurements S. Houweling et al. 10.1002/2014JD022962
125. Technical note: A high-resolution inverse modelling technique for estimating surface CO<sub>2</sub> fluxes based on the NIES-TM–FLEXPART coupled transport model and its adjoint S. Maksyutov et al. 10.5194/acp-21-1245-2021
126. The seasonal variation of the CO2 flux over Tropical Asia estimated from GOSAT, CONTRAIL, and IASI S. Basu et al. 10.1002/2013GL059105
127. Column-averaged CO2 concentrations in the subarctic from GOSAT retrievals and NIES transport model simulations D. Belikov et al. 10.1016/j.polar.2014.02.002
128. Impact of aerosol and thin cirrus on retrieving and validating XCO2 from GOSAT shortwave infrared measurements S. Guerlet et al. 10.1002/jgrd.50332
129. Comparison of CH4inversions based on 15 months of GOSAT and SCIAMACHY observations G. Monteil et al. 10.1002/2013JD019760
130. Inferring regional sources and sinks of atmospheric CO<sub>2</sub> from GOSAT XCO<sub>2</sub> data F. Deng et al. 10.5194/acp-14-3703-2014
131. Reduced carbon uptake during the 2010 Northern Hemisphere summer from GOSAT S. Guerlet et al. 10.1002/grl.50402
132. Assessing the magnitude of CO2flux uncertainty in atmospheric CO2records using products from NASA's Carbon Monitoring Flux Pilot Project L. Ott et al. 10.1002/2014JD022411