A multimodel analysis of post-Glasgow climate targets and feasibility challenges

The COP26 Glasgow process resulted in many countries strengthening their 2030 emissions reduction targets and announcing net-zero pledges for 2050–2070 but it is not clear how this would impact future warming. Here, we use four diverse integrated assessment models (IAMs) to assess CO 2 emission traj...

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Veröffentlicht in:Nature climate change 2023-06, Vol.13 (6), p.570-578
Hauptverfasser: van de Ven, Dirk-Jan, Mittal, Shivika, Gambhir, Ajay, Lamboll, Robin D., Doukas, Haris, Giarola, Sara, Hawkes, Adam, Koasidis, Konstantinos, Köberle, Alexandre C., McJeon, Haewon, Perdana, Sigit, Peters, Glen P., Rogelj, Joeri, Sognnaes, Ida, Vielle, Marc, Nikas, Alexandros
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Sprache:eng
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Zusammenfassung:The COP26 Glasgow process resulted in many countries strengthening their 2030 emissions reduction targets and announcing net-zero pledges for 2050–2070 but it is not clear how this would impact future warming. Here, we use four diverse integrated assessment models (IAMs) to assess CO 2 emission trajectories in the near- and long-term on the basis of national policies and pledges, combined with a non-CO 2 infilling model and a simple climate model to assess the temperature implications. We also consider the feasibility of national long-term pledges towards net-zero. While near-term pledges alone lead to warming above 2 °C, the addition of long-term pledges leads to emissions trajectories compatible with a future well below 2 °C, across all four IAMs. However, while IAM heterogeneity translates to diverse decarbonization pathways towards long-term targets, all modelled pathways indicate several feasibility concerns, relating to the cost of mitigation and the rates and scales of deployed technologies and measures. Although many countries have strengthened their emissions reduction pledges, their ability to limit the warming outcomes is still in question. A multimodel analysis demonstrates that these trajectories are in line with the 2 °C target but countries probably face feasibility challenges to achieve them.
ISSN:1758-678X
1758-6798
DOI:10.1038/s41558-023-01661-0