94 citations as recorded by crossref.

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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. A high-accuracy method for filling voids on remotely sensed XCO2 surfaces and its verification T. Yue et al. 10.1016/j.jclepro.2014.08.080
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42. Using Machine Learning in the Prediction of the Influence of Atmospheric Parameters on Health D. Ranđelović et al. 10.3390/math10173043
43. Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurements L. Wu et al. 10.5194/amt-11-3111-2018
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46. 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
47. Global and Brazilian Carbon Response to El Niño Modoki 2011–2010 K. Bowman et al. 10.1002/2016EA000204
48. CO<sub>2</sub> flux estimation errors associated with moist atmospheric processes N. Parazoo et al. 10.5194/acp-12-6405-2012
49. Multi‐Season Evaluation of CO2 Weather in OCO‐2 MIP Models L. Zhang et al. 10.1029/2021JD035457
50. The impact of improved aerosol priors on near-infrared measurements of carbon dioxide R. Nelson & C. O'Dell 10.5194/amt-12-1495-2019
51. Observing System Simulation Experiments for air quality R. Timmermans et al. 10.1016/j.atmosenv.2015.05.032
52. The RUSALKA device for measuring the carbon dioxide and methane concentration in the atmosphere from on board the International Space Station O. Korablev et al. 10.1364/JOT.78.000317
53. Estimating CO2 concentration during the growing season from MODIS and GOSAT in East Asia M. Guo et al. 10.1080/01431161.2015.1081305
54. 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
55. Evaluation of a new middle-lower tropospheric CO<sub>2</sub> product using data assimilation A. Tangborn et al. 10.5194/acp-13-4487-2013
56. 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
57. 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
58. Evaluation of various observing systems for the global monitoring of CO<sub>2</sub> surface fluxes K. Hungershoefer et al. 10.5194/acp-10-10503-2010
59. Assessments of the Above-Ocean Atmospheric CO2 Detection Capability of the GAS Instrument Onboard the Next-Generation FengYun-3H Satellite S. Chen et al. 10.3390/rs14236032
60. Analysis of the carbon dioxide concentration in the lowest atmospheric layers and the factors affecting China based on satellite observations Y. Hou et al. 10.1080/01431161.2012.730159
61. 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
62. National CO2budgets (2015–2020) inferred from atmospheric CO2observations in support of the global stocktake B. Byrne et al. 10.5194/essd-15-963-2023
63. A Robust Estimate of Continental‐Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals L. Zhang et al. 10.1029/2023GL102815
64. Combining GOSAT XCO2 observations over land and ocean to improve regional CO2 flux estimates F. Deng et al. 10.1002/2015JD024157
65. Deriving Full‐Coverage and Fine‐Scale XCO2 Across China Based on OCO‐2 Satellite Retrievals and CarbonTracker Output C. He et al. 10.1029/2022GL098435
66. Validation of TANSO-FTS/GOSAT XCO<sub>2</sub> and XCH<sub>4</sub> glint mode retrievals using TCCON data from near-ocean sites M. Zhou et al. 10.5194/amt-9-1415-2016
67. Application of NASA-Unified WRF model to carbon dioxide simulation- model development and evaluation Z. Tao et al. 10.1016/j.envsoft.2020.104785
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69. An assessment of emission characteristics of Northern Hemisphere cities using spaceborne observations of CO2, CO, and NO2 H. Park et al. 10.1016/j.rse.2020.112246
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73. Assimilation of ground versus lidar observations for PM<sub>10</sub> forecasting Y. Wang et al. 10.5194/acp-13-269-2013
74. European CH4 inversions with ICON-ART coupled to the CarbonTracker Data Assimilation Shell M. Steiner et al. 10.5194/acp-24-2759-2024
75. 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
76. 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
77. Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. 10.5194/gmd-11-1725-2018
78. Estimation of global CO2 fluxes using ground-based and satellite (GOSAT) observation data with empirical orthogonal functions R. Zhuravlev et al. 10.1134/S1024856013060158
79. 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
80. The TanSat mission: preliminary global observations Y. Liu et al. 10.1016/j.scib.2018.08.004
81. Net carbon emissions from African biosphere dominate pan-tropical atmospheric CO2 signal P. Palmer et al. 10.1038/s41467-019-11097-w
82. First Global Carbon Dioxide Maps Produced from TanSat Measurements D. Yang et al. 10.1007/s00376-018-7312-6
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86. 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
87. Seasonal and Diurnal Variations in XCO2 Characteristics in China as Observed by OCO‐2/3 Satellites: Effects of Land Cover and Local Meteorology H. Zhao et al. 10.1029/2023JD038841
88. Retrieval of Carbon Dioxide Using Cross-Track Infrared Sounder (CrIS) on S-NPP X. Zhang et al. 10.3390/rs13061163
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93. Ecological forecasting and data assimilation in a data-rich era Y. Luo et al. 10.1890/09-1275.1
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