112 citations as recorded by crossref.

1. Technical Note: Comparison of ensemble Kalman filter and variational approaches for CO<sub>2</sub> data assimilation A. Chatterjee & A. Michalak 10.5194/acp-13-11643-2013
2. Tropical methane emissions explain large fraction of recent changes in global atmospheric methane growth rate L. Feng et al. 10.1038/s41467-022-28989-z
3. Large Chinese land carbon sink estimated from atmospheric carbon dioxide data J. Wang et al. 10.1038/s41586-020-2849-9
4. The effect of optimization and the nesting domain on carbon flux analyses in Asia using a carbon tracking system based on the ensemble Kalman filter J. Kim et al. 10.1007/s13143-014-0020-y
5. Does GOSAT capture the true seasonal cycle of carbon dioxide? H. Lindqvist et al. 10.5194/acp-15-13023-2015
6. 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
7. Bayesian statistical modeling of spatially correlated error structure in atmospheric tracer inverse analysis C. Mukherjee et al. 10.5194/acp-11-5365-2011
8. Impact of Prior Terrestrial Carbon Fluxes on Simulations of Atmospheric CO2 Concentrations Y. Fu et al. 10.1029/2021JD034794
9. 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
10. Reply to: The size of the land carbon sink in China J. Wang et al. 10.1038/s41586-021-04256-x
11. Global Carbon Budget 2021 P. Friedlingstein et al. 10.5194/essd-14-1917-2022
12. Inverse Modeling of CO₂ Fluxes Using GOSAT Data and Multi-Year Ground-Based Observations T. Saeki et al. 10.2151/sola.2013-011
13. 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
14. On the parallelization of atmospheric inversions of CO<sub>2</sub> surface fluxes within a variational framework F. Chevallier 10.5194/gmd-6-783-2013
15. An algorithm for estimating greenhouse gas fluxes using satellite data for a global transport and diffusion model M. Platonova & E. Klimova 10.1088/1742-6596/1715/1/012021
16. A Comparison of the Atmospheric CO2Concentrations Obtained by an Inverse Modeling System and Passenger Aircraft Based Measurement H. Kim et al. 10.14191/Atmos.2016.26.3.387
17. Scattering properties of the heterogeneous and non-spherical haze particles in the SWIR band M. Fan et al. 10.1088/1755-1315/17/1/012024
18. Application of the ensemble Kalman filter to environmental data assimilation E. Klimova 10.1088/1755-1315/211/1/012049
19. Sensitivity of the simulated CO2 concentration to inter-annual variations of its sources and sinks over East Asia Y. Fu et al. 10.1016/j.accre.2020.03.001
20. Global Carbon Budget 2020 P. Friedlingstein et al. 10.5194/essd-12-3269-2020
21. A measurement-based verification framework for UK greenhouse gas emissions: an overview of the Greenhouse gAs Uk and Global Emissions (GAUGE) project P. Palmer et al. 10.5194/acp-18-11753-2018
22. 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
23. Design and evaluation of CO<sub>2</sub> observation network to optimize surface CO<sub>2</sub> fluxes in Asia using observation system simulation experiments J. Park & H. Kim 10.5194/acp-20-5175-2020
24. 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
25. 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
26. Global Carbon Budget 2022 P. Friedlingstein et al. 10.5194/essd-14-4811-2022
27. The Significance of Fast Radiative Transfer for Hyperspectral SWIR XCO2 Retrievals P. Somkuti et al. 10.3390/atmos11111219
28. 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
29. Global Carbon Budget 2023 P. Friedlingstein et al. 10.5194/essd-15-5301-2023
30. Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics Z. Zeng et al. 10.1080/17538947.2016.1156777
31. 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
32. Real-data assimilation experiment with a joint data assimilation system: assimilating carbon dioxide mole fraction measurements from the Greenhouse gases Observing Satellite R. Han et al. 10.1080/16742834.2016.1133070
33. 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
34. An 11-year record of XCO<sub>2</sub> estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm T. Taylor et al. 10.5194/essd-14-325-2022
35. TanSat Mission Achievements: from Scientific Driving to Preliminary Observations Y. LIU et al. 10.11728/cjss2018.05.627
36. A joint data assimilation system (Tan-Tracker) to simultaneously estimate surface CO<sub>2</sub> fluxes and 3-D atmospheric CO<sub>2</sub> concentrations from observations X. Tian et al. 10.5194/acp-14-13281-2014
37. Assimilation of POLDER observations to estimate aerosol emissions A. Tsikerdekis et al. 10.5194/acp-23-9495-2023
38. Observed and simulated features of the CO2 diurnal cycle in the boundary layer at Beijing and Hefei, China Y. Wang et al. 10.1007/s11434-014-0194-9
39. Global Characterization of CO2 Column Retrievals from Shortwave-Infrared Satellite Observations of the Orbiting Carbon Observatory-2 Mission H. Boesch et al. 10.3390/rs3020270
40. Accounting for CO2 variability over East Asia with a regional joint inversion system and its preliminary evaluation X. Kou et al. 10.1007/s13351-017-6149-8
41. Simplified Kalman smoother and ensemble Kalman smoother for improving reanalyses B. Dong et al. 10.5194/gmd-16-4233-2023
42. Net carbon emissions from African biosphere dominate pan-tropical atmospheric CO2 signal P. Palmer et al. 10.1038/s41467-019-11097-w
43. Detection of optical path in spectroscopic space-based observations of greenhouse gases: Application to GOSAT data processing S. Oshchepkov et al. 10.1029/2010JD015352
44. The TanSat mission: preliminary global observations Y. Liu et al. 10.1016/j.scib.2018.08.004
45. Comparison between the Local Ensemble Transform Kalman Filter (LETKF) and 4D‐Var in atmospheric CO2 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
46. Improving land surface models with FLUXNET data M. Williams et al. 10.5194/bg-6-1341-2009
47. Measurement of atmospheric CO<sub>2</sub> column concentrations to cloud tops with a pulsed multi-wavelength airborne lidar J. Mao et al. 10.5194/amt-11-127-2018
48. The First Global Carbon Dioxide Flux Map Derived from TanSat Measurements D. Yang et al. 10.1007/s00376-021-1179-7
49. The Chinese carbon cycle data-assimilation system (Tan-Tracker) X. Tian et al. 10.1007/s11434-014-0238-1
50. Quantifying the benefit of A-SCOPE data for reducing uncertainties in terrestrial carbon fluxes in CCDAS T. Kaminski et al. 10.1111/j.1600-0889.2010.00483.x
51. Retrievals of atmospheric CO_2 from simulated space-borne measurements of backscattered near-infrared sunlight: accounting for aerosol effects A. Butz et al. 10.1364/AO.48.003322
52. 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
53. Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm T. Taylor et al. 10.5194/amt-16-3173-2023
54. Airborne lidar measurements of atmospheric CO2 column concentrations to cloud tops made during the 2017 ASCENDS/ABoVE campaign J. Mao et al. 10.5194/amt-17-1061-2024
55. Atmospheric data support a multi-decadal shift in the global methane budget towards natural tropical emissions A. Drinkwater et al. 10.5194/acp-23-8429-2023
56. A regional carbon data assimilation system and its preliminary evaluation in East Asia Z. Peng et al. 10.5194/acp-15-1087-2015
57. 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
58. Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
59. 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
60. Estimating Aerosol Emissions by Assimilating Remote Sensing Observations into a Global Transport Model N. Schutgens et al. 10.3390/rs4113528
61. Assessing the potential and utilization of solar energy at the building-scale in Shanghai Z. Chen et al. 10.1016/j.scs.2022.103917
62. A new space-borne perspective of crop productivity variations over the US Corn Belt P. Somkuti et al. 10.1016/j.agrformet.2019.107826
63. 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
64. Estimation of global CO2 fluxes using ground-based and satellite (GOSAT) observation data with empirical orthogonal functions R. Zhuravlev et al. 10.1134/S1024856013060158
65. Estimating aerosol emission from SPEXone on the NASA PACE mission using an ensemble Kalman smoother: observing system simulation experiments (OSSEs) A. Tsikerdekis et al. 10.5194/gmd-15-3253-2022
66. Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions K. Wu et al. 10.5194/amt-16-581-2023
67. Issues in the assimilation of the sources of a trace gas by inverse modelling R. Bannister 10.1016/j.compfluid.2010.11.017
68. Characterization of Tropospheric Emission Spectrometer (TES) CO<sub>2</sub> for carbon cycle science S. Kulawik et al. 10.5194/acp-10-5601-2010
69. WOMBAT v1.0: a fully Bayesian global flux-inversion framework A. Zammit-Mangion et al. 10.5194/gmd-15-45-2022
70. 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
71. Evaluating a 3-D transport model of atmospheric CO<sub>2</sub> using ground-based, aircraft, and space-borne data L. Feng et al. 10.5194/acp-11-2789-2011
72. CO2 Flux Inversion With a Regional Joint Data Assimilation System Based on CMAQ, EnKS, and Surface Observations Z. Peng et al. 10.1029/2022JD037154
73. ECONOMIC ALGORITHM FOR EVALUATING THE PARAMETER FOR THE GLOBAL MODEL OF TRANSFER AND DIFFUSION M. Platonova & E. Klimova 10.33764/2618-981X-2020-4-1-123-128
74. Source‐receptor relationships of column‐average CO2 and implications for the impact of observations on flux inversions J. Liu et al. 10.1002/2014JD022914
75. Mission CO2ntrol: A Statistical Scientist's Role in Remote Sensing of Atmospheric Carbon Dioxide N. Cressie 10.1080/01621459.2017.1419136
76. Errors and uncertainties in a gridded carbon dioxide emissions inventory T. Oda et al. 10.1007/s11027-019-09877-2
77. An inversion model based on GEOS-Chem for estimating global and China's terrestrial carbon fluxes in 2019 C. Wu et al. 10.1016/j.accre.2023.01.001
78. Evaluating the Ability of the Pre-Launch TanSat-2 Satellite to Quantify Urban CO2 Emissions K. Wu et al. 10.3390/rs15204904
79. TransCom satellite intercomparison experiment: Construction of a bias corrected atmospheric CO2climatology R. Saito et al. 10.1029/2011JD016033
80. Surface fluxes of bromoform and dibromomethane over the tropical western Pacific inferred from airborne in situ measurements L. Feng et al. 10.5194/acp-18-14787-2018
81. Global and regional carbon budget for 2015–2020 inferred from OCO-2 based on an ensemble Kalman filter coupled with GEOS-Chem Y. Kong et al. 10.5194/acp-22-10769-2022
82. 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
83. Modeling global atmospheric CO<sub>2</sub> with improved emission inventories and CO<sub>2</sub> production from the oxidation of other carbon species R. Nassar et al. 10.5194/gmd-3-689-2010
84. Application of Carbon Tracking System based on Ensemble Kalman Filter on the Diagnosis of Carbon Cycle in Asia J. Kim et al. 10.14191/Atmos.2012.22.4.415
85. The carbon sink in China as seen from GOSAT with a regional inversion system based on the Community Multi-scale Air Quality (CMAQ) and ensemble Kalman smoother (EnKS) X. Kou et al. 10.5194/acp-23-6719-2023
86. A remote sensing technique for global monitoring of power plant CO<sub>2</sub> emissions from space and related applications H. Bovensmann et al. 10.5194/amt-3-781-2010
87. 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
88. An intercomparison of inverse models for estimating sources and sinks of CO2 using GOSAT measurements S. Houweling et al. 10.1002/2014JD022962
89. Robust algorithm for precise XCO2 retrieval using single observation of IPDA LIDAR H. Zhang et al. 10.1364/OE.482629
90. Error correlation between CO<sub>2</sub> and CO as constraint for CO<sub>2</sub> flux inversions using satellite data H. Wang et al. 10.5194/acp-9-7313-2009
91. Estimating regional methane surface fluxes: the relative importance of surface and GOSAT mole fraction measurements A. Fraser et al. 10.5194/acp-13-5697-2013
92. Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions Z. Deng et al. 10.5194/essd-14-1639-2022
93. 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
94. Country-scale greenhouse gas budgets using shipborne measurements: a case study for the UK and Ireland C. Helfter et al. 10.5194/acp-19-3043-2019
95. Numerical experiments with real data for estimating greenhouse gas fluxes in a region M. Platonova & E. Klimova 10.33764/2618-981X-2022-4-132-137
96. The importance of transport model uncertainties for the estimation of CO<sub>2</sub> sources and sinks using satellite measurements S. Houweling et al. 10.5194/acp-10-9981-2010
97. The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
98. Carbon source/sink information provided by column CO<sub>2</sub> measurements from the Orbiting Carbon Observatory D. Baker et al. 10.5194/acp-10-4145-2010
99. Fusion of multi-source near-surface CO2 concentration data based on high accuracy surface modeling Z. Mingwei et al. 10.1016/j.apr.2017.05.003
100. CH4 concentrations over the Amazon from GOSAT consistent with in situ vertical profile data A. Webb et al. 10.1002/2016JD025263
101. First Global Carbon Dioxide Maps Produced from TanSat Measurements D. Yang et al. 10.1007/s00376-018-7312-6
102. Effects of the surface albedo on short-wave infrared detection of atmospheric CO2 . Chen Jie et al. 10.7498/aps.64.239201
103. “Variable localization” in an ensemble Kalman filter: Application to the carbon cycle data assimilation J. Kang et al. 10.1029/2010JD014673
104. Estimating surface carbon fluxes based on a local ensemble transform Kalman filter with a short assimilation window and a long observation window: an observing system simulation experiment test in GEOS-Chem 10.1 Y. Liu et al. 10.5194/gmd-12-2899-2019
105. 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
106. Effect of Data Assimilation Parameters on The Optimized Surface CO2 Flux in Asia H. Kim et al. 10.1007/s13143-017-0049-9
107. Combining GOSAT XCO2 observations over land and ocean to improve regional CO2 flux estimates F. Deng et al. 10.1002/2015JD024157
108. Decadal Methane Emission Trend Inferred from Proxy GOSAT XCH4 Retrievals: Impacts of Transport Model Spatial Resolution S. Zhu et al. 10.1007/s00376-022-1434-6
109. Improving the joint estimation of CO2 and surface carbon fluxes using a constrained ensemble Kalman filter in COLA (v1.0) Z. Liu et al. 10.5194/gmd-15-5511-2022
110. 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
111. Origin, variability and age of biomass burning plumes intercepted during BORTAS-B D. Finch et al. 10.5194/acp-14-13789-2014
112. Improving land surface models with FLUXNET data M. Williams et al. 10.5194/bgd-6-2785-2009