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Climate variability introduces uncertainty into future emissions pathways

Climate variability introduces uncertainty into future emissions pathways

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

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Authors

James Gilroy Larson , Patrick W Keys , Frances Moore, Jesse Burkhardt

Abstract

Uncertainty in long-term climate outcomes arises not only from physical processes but also from societal responses to climate variability and change. Here we embed a range of temperature anomalies into an empirically-informed, coupled climate–social model to investigate how natural temperature variability shapes global emissions trajectories. Using Monte Carlo ensembles spanning social, political, and technological parameters, we find that anomalous mid-century warmth accelerates the timing of net-zero emissions by several years, while anomalous cooling delays net-zero achievement. The response scales with the magnitude and persistence of variability with stronger and longer-lasting temperature anomalies producing larger shifts in mitigation timing. Across ensembles, high-variability climates are associated with higher emissions pathways and a greater likelihood of failing to reach net zero by 2100. Externally forced cooling events, such as volcanic eruptions, produce sharp impacts, delaying net zero by nearly a decade through temporary declines in public support for climate mitigation. These findings reveal that climate variability can cascade through perception, politics, and technology adoption to alter the pace of global mitigation, highlighting the sensitivity of emissions pathways to short-term climate signals.

DOI

https://doi.org/10.31223/X5518B

Subjects

Atmospheric Sciences, Climate, Physical Sciences and Mathematics, Social and Behavioral Sciences

Keywords

social-climate modeling, social-climate interactions, future emissions pathways

Dates

Published: 2026-04-10 23:17

Last Updated: 2026-04-10 23:17

License

CC BY Attribution 4.0 International

Additional Metadata

Data Availability:
https://doi.org/10.5281/zenodo.17716309

Metrics

Views: 66

Downloads: 3