Abstract
The phase shifts between the global surface temperature T and the carbon dioxide content in the atmosphere q obtained in numerical experiments with models of the Earth’s climate system under the CMIP6 project (Coupled Models Intercomparison Project, phase 6) for the period of 1850–2014 have been analyzed. According to the study results, the sign of the phase shift between q and T depends not only on the time interval analyzed, but also on the processing method of the initial series. The initial q series (with a filtered annual cycle) is ahead in phase with the corresponding T series for most models and time intervals. The first differences (inter-monthly increments) of the q series lag in phase behind the corresponding first differences of the T series by about ten months with an adequate reproduction of the results obtained by analyzing the observation data over recent decades. It means that such a delay should not be an argument against the generally accepted global warming theory related to the current increase in temperature to the dominant influence of anthropogenic greenhouse gas emissions into the atmosphere.
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Funding
The analysis of phase shifts in the model depending on the time scales of climate variations was supported by the Russian Science Foundation (grant no. 23-62-10043). The analysis of CO2 variations in CMIP6 models was carried out under a State Assignment of the Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, “Diagnostics and Modeling of Global Climate Changes and the Climate of the Arctic and Russian Regions” (project no. FMWR-2022-0014). The analysis was carried out using the results obtained under a project of the Russian Science Foundation (grant no. 23-47-00104) and an agreement with the Ministry of Education and Science of the Russian Federation (agreement no. 075-15-2021-577).
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Translated by E. Maslennikova
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Muryshev, K.E., Eliseev, A.V., Mokhov, I.I. et al. The Phase Shift between the Global Surface Temperature and the CO2 Content in the Atmosphere According to Simulations with the Ensemble of CMIP6 Models. Dokl. Earth Sc. 516, 1036–1041 (2024). https://doi.org/10.1134/S1028334X24601688
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DOI: https://doi.org/10.1134/S1028334X24601688