Arora, V. K., and Coauthors, 2020: Carbon-concentration and carbon-climate feedbacks in CMIP6 models and their comparison to CMIP5 models. Biogeosciences, 17, 4173−4222, https://doi.org/10.5194/bg-17-4173-2020.
Buchwitz, M., and M. Reuter, 2016: Merged SCIAMACHY/ENVISAT and TANSO-FTS/GOSAT atmospheric column-average dry-air mole fraction of CO2 (XCO2) (XCO2_CRDP3_001), Technical Report, Version 1 (rev 2), 11 pp.
Eyring, V., S. Bony, G. A. Meehl, C. A. Senior, B. Stevens, R. J. Stouffer, and K. E. Taylor, 2016: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geoscientific Model Development, 9, 1937−1958, https://doi.org/10.5194/gmd-9-1937-2016.
Feng, X., S. Wang, and Z. C. Niu, 2018: Variational characteristics of CO2 concentrations and δ13C values at the urban sites in Beijing and Xiamen, China. Journal of Earth Environment, 9(4), 316−322, https://doi.org/10.7515/JEE182029. (in Chinese with English abstract
Forkel, M., N. Carvalhais, C. Rödenbeck, R. Keeling, M. Heimann, K. Thonicke, S. Zaehle, and M. Reichstein, 2016: Enhanced seasonal CO2 exchange caused by amplified plant productivity in northern ecosystems. Science, 351, 696−699, https://doi.org/10.1126/science.aac4971.
Friedlingstein, P., and Coauthors, 2022: Global carbon budget 2021. Earth System Science Data, 14, 1917−2005, https://doi.org/10.5194/essd-14-1917-2022.
Gier, B. K., M. Buchwitz, M. Reuter, P. M. Cox, P. Friedlingstein, and V. Eyring, 2020: Spatially resolved evaluation of Earth system models with satellite column-averaged CO2. Biogeosciences, 17, 6115−6144, https://doi.org/10.5194/bg-17-6115-2020.
Graven, H. D., and Coauthors, 2013: Enhanced seasonal exchange of CO2 by northern ecosystems since 1960. Science, 341, 1085−1089, https://doi.org/10.1126/science.1239207.
IPCC, 2021: Summary for policymakers. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, V. Masson-Delmotte et al., Eds., Cambridge University Press, Cambridge, UK.
Ji, D., and Coauthors, 2014: Description and basic evaluation of Beijing Normal University Earth System Model (BNU-ESM) version 1. Geoscientific Model Development, 7, 2039−2064, https://doi.org/10.5194/gmd-7-2039-2014.
Lan, X., P. Tans, and K. W. Thoning, 2023: Trends in globally-averaged CO2 determined from NOAA Global Monitoring Laboratory measurements. Version 2023-09 NOAA/GML.
Li, F., X. D. Zeng, and S. Levis, 2012: A process-based fire parameterization of intermediate complexity in a Dynamic Global Vegetation Model. Biogeosciences, 9, 2761−2780, https://doi.org/10.5194/bg-9-2761-2012.
Xu, Y. F., Y. C. Li, and M. Chu, 2013: A global ocean biogeochemistry general circulation model and its simulations. Adv. Atmos. Sci., 30, 922−939, https://doi.org/10.1007/s00376-012-2162-0.
Ying, N., Q. Ye, and J. J. Xia, 2019: Interannual and seasonal cycles of CO2 from GOSAT and AIRS. IOP Conference Series: Earth and Environmental Science, 237, 022003, https://doi.org/10.1088/1755-1315/237/2/022003.
Zeng, X. D., F. Li, and X. Song, 2014: Development of the IAP dynamic global vegetation model. Adv. Atmos. Sci., 31, 505−514, https://doi.org/10.1007/s00376-013-3155-3.
Zhang, H., and Coauthors, 2020: Description and climate simulation performance of CAS-ESM version 2. Journal of Advances in Modeling Earth Systems, 12, e2020MS002210, https://doi.org/10.1029/2020ms002210.
Zhu, J. W., and Coauthors, 2018: Evaluation of the new dynamic global vegetation model in CAS-ESM. Adv. Atmos. Sci., 35, 659−670, https://doi.org/10.1007/s00376-017-7154-7.