316 citations as recorded by crossref.

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53. On the ability of a global atmospheric inversion to constrain variations of CO<sub>2</sub> fluxes over Amazonia L. Molina et al. 10.5194/acp-15-8423-2015
54. Assessing Lagrangian inverse modelling of urban anthropogenic CO2 fluxes using in situ aircraft and ground-based measurements in the Tokyo area I. Pisso et al. 10.1186/s13021-019-0118-8
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57. Plant Regrowth as a Driver of Recent Enhancement of Terrestrial CO2 Uptake M. Kondo et al. 10.1029/2018GL077633
58. 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
59. 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
60. Siberian 2020 heatwave increased spring CO2 uptake but not annual CO2 uptake M. Kwon et al. 10.1088/1748-9326/ac358b
61. In situ measurement of atmospheric CO<sub>2</sub> at the four WMO/GAW stations in China S. Fang et al. 10.5194/acp-14-2541-2014
62. Uncertainty in parameterized convection remains a key obstacle for estimating surface fluxes of carbon dioxide A. Schuh & A. Jacobson 10.5194/acp-23-6285-2023
63. 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
64. Analysis of CO2 spatio-temporal variations in China using a weather–biosphere online coupled model X. Dong et al. 10.5194/acp-21-7217-2021
65. Regional CO2 inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0 G. Monteil & M. Scholze 10.5194/gmd-14-3383-2021
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74. Satellite-inferred European carbon sink larger than expected M. Reuter et al. 10.5194/acp-14-13739-2014
75. On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems? B. Byrne et al. 10.5194/acp-19-13017-2019
76. Comparison of СO₂ Content in the Atmosphere of St. Petersburg According to Numerical Modelling and Observations G. Nerobelov et al. 10.31857/S0002351523020050
77. Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. 10.5194/gmd-11-1725-2018
78. How does the terrestrial carbon exchange respond to inter-annual climatic variations? A quantification based on atmospheric CO<sub>2</sub> data C. Rödenbeck et al. 10.5194/bg-15-2481-2018
79. 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
80. Contrasting terrestrial carbon cycle responses to the 1997/98 and 2015/16 extreme El Niño events J. Wang et al. 10.5194/esd-9-1-2018
81. On the impact of recent developments of the LMDz atmospheric general circulation model on the simulation of CO<sub>2</sub> transport M. Remaud et al. 10.5194/gmd-11-4489-2018
82. Coupling the Canadian Terrestrial Ecosystem Model (CTEM v. 2.0) to Environment and Climate Change Canada's greenhouse gas forecast model (v.107-glb) B. Badawy et al. 10.5194/gmd-11-631-2018
83. Impact of physical parameterizations and initial conditions on simulated atmospheric transport and CO<sub>2</sub> mole fractions in the US Midwest L. Díaz-Isaac et al. 10.5194/acp-18-14813-2018
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85. Continued increase in atmospheric CO<sub>2</sub> seasonal amplitude in the 21st century projected by the CMIP5 Earth system models F. Zhao & N. Zeng 10.5194/esd-5-423-2014
86. Detection of Spatiotemporal Extreme Changes in Atmospheric CO2 Concentration Based on Satellite Observations Z. He et al. 10.3390/rs10060839
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