Natural variability-focused assessment of climate overshoot timing
Abstract The Paris Agreement legally commits the international community to keep anthropogenic global warming well below 2.0 °C, while efforts shall be made to hold the 1.5 °C-line. Under climate business as usual, however, the transgression of those lines will happen in the next few decades, causing major adaptation challenges. Fully-fledged Earth System Models are usually employed for concrete overshoot-timing projections, yet they are not only computationally expensive, but their internal variability is model dependent, which may significantly distort (and invalidate) their projections. Here we present, as an alternative, a purely data-driven approach based on the persistence properties of the observed global temperatures. We quantify, in a probabilistic way, the natural variability that must be superimposed on the anthropogenic trends in order to retrieve the observed warming behavior. When assuming that the anthropogenic warming continues at the current rate, we actually arrive at comparable overshoot timing estimates as the Earth System Models and provide an explanation for this finding. Since the two approaches are independent, they support each other strongly and highlight the need for an effective overshoot management.
Authors
- Hans Joachim Schellnhuber (ORCID: https://orcid.org/0000-0001-7453-4935)
- Josef Ludescher (ORCID: https://orcid.org/0009-0004-5693-7684)
- Armin Bunde
- Naiming Yuan (ORCID: https://orcid.org/0000-0003-0580-609X)
Institutions
- International Institute for Applied Systems Analysis (AT)
- Ministry of Education of the People's Republic of China (CN)
- Sun Yat-sen University (CN)
- Justus-Liebig-Universität Gießen (DE)
- Leibniz Association (DE)
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN)
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN)
- Potsdam Institute for Climate Impact Research (DE)
- Tsinghua University (CN)
Publication Details
- Journal
- Communications Earth & Environment
- Published
- 2025-07-21
- DOI
- https://doi.org/10.1038/s43247-025-02525-5
- Primary Topic
- Climate variability and models
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Bundesministerium für Wirtschaft und Energie
- Basic and Applied Basic Research Foundation of Guangdong Province