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Separating Greenhouse-Gas Driven Forcing from Natural Fluctuations in the Time Series for Global Mean Temperatures

Title: Separating Greenhouse-Gas Driven Forcing from Natural Fluctuations in the Time Series for Global Mean Temperatures
Authors: Taylor, Cyrus C.
Contributors: Case Western Reserve University
Source: Physical Review Letters ; volume 136, issue 10 ; ISSN 0031-9007 1079-7114
Publisher Information: American Physical Society (APS)
Publication Year: 2026
Description: The year 2024 was the hottest in the modern era, followed by 2023. Do these temperatures signal unexpected changes in the climate system? Writing the global annual mean temperature as the sum of two terms, greenhouse-gas driven climate change and fluctuations due to internal and external variability, we model the first term by extending the logarithmic dependance of the temperature anomaly to non-equilibrium conditions. We validate the method using the illustrative scenarios considered by the IPCC. Fitting the data, we find that the residuals for 2023 and 2024 are consistent with past fluctuations. We comment on how putative changes in the climate regime will manifest themselves in coming years.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1103/897x-zrmv
DOI: 10.1103/897x-zrmv/fulltext
Availability: https://doi.org/10.1103/897x-zrmv; https://link.aps.org/article/10.1103/897x-zrmv; http://harvest.aps.org/v2/journals/articles/10.1103/897x-zrmv/fulltext
Rights: https://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.14A3B53F
Database: BASE