Long run emulator calibration increases warming and sea-level rise projections

Abstract Owing to their short runtime compared to Earth system models (ESMs), as well as the difficulty for the latest ESMs from the Coupled Model Intercomparison Project Phase 6 (CMIP6) to reproduce historical warming and the so-called ‘hot model problem’, constrained reduced-complexity climate models (‘emulators’) are increasingly used to produce global warming projections from emissions scenarios. Emulators are often calibrated on idealised abrupt CO 2 quadrupling experiments from CMIP6, particularly the global surface temperature response over time to an imposed radiative forcing. Such CMIP6 experiments tend to be run for 150 years, which is not sufficient to reveal the full equilibrium response to an imposed climate forcing. Here we show that, when longer experiments are available for emulator calibration, the long-term climate warming projections increase, particularly for 2100, by up to 0.70 (0.42–0.93, 25th to 75th percentile) °C in the median under a high emissions scenario; peak global warming in a high overshoot scenario is higher by 0.24 °C (0.14–0.31 °C). Corresponding long-term thermosteric sea level rise (SLR) is consequently higher, by 0.45 (0.22–0.52, 25th to 75th percentile) m in 2500. This result, consistent across calibrations from 17 ESMs, has implications for climate change mitigation strategies, as it is likely that even more stringent emissions reductions would be required to limit long-term warming and SLR than previously thought.

Authors

Institutions

Publication Details

Journal
Environmental Research Letters
Published
2026-01-14
DOI
https://doi.org/10.1088/1748-9326/ae3847
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Long run emulator calibration increases warming and sea-level rise projections

Donald P. Cummins, Haozhe He, Chris Wells, Chris Smith
Environmental Research Letters
Climate variability and models
article

Long run emulator calibration increases warming and sea-level rise projections

Donald P. Cummins, Haozhe He, Chris Wells, Chris Smith
article en

Abstract

Abstract Owing to their short runtime compared to Earth system models (ESMs), as well as the difficulty for the latest ESMs from the Coupled Model Intercomparison Project Phase 6 (CMIP6) to reproduce historical warming and the so-called ‘hot model problem’, constrained reduced-complexity climate models (‘emulators’) are increasingly used to produce global warming projections from emissions scenarios. Emulators are often calibrated on idealised abrupt CO 2 quadrupling experiments from CMIP6, particularly the global surface temperature response over time to an imposed radiative forcing. Such CMIP6 experiments tend to be run for 150 years, which is not sufficient to reveal the full equilibrium response to an imposed climate forcing. Here we show that, when longer experiments are available for emulator calibration, the long-term climate warming projections increase, particularly for 2100, by up to 0.70 (0.42–0.93, 25th to 75th percentile) °C in the median under a high emissions scenario; peak global warming in a high overshoot scenario is higher by 0.24 °C (0.14–0.31 °C). Corresponding long-term thermosteric sea level rise (SLR) is consequently higher, by 0.45 (0.22–0.52, 25th to 75th percentile) m in 2500. This result, consistent across calibrations from 17 ESMs, has implications for climate change mitigation strategies, as it is likely that even more stringent emissions reductions would be required to limit long-term warming and SLR than previously thought.

Environmental Research LettersVol. 21(3)
University of Leeds (GB), International Institute for Applied Systems Analysis (AT), Princeton University (US), Centre for Polar Observation and Modelling (GB)
HORIZON EUROPE Framework Programme
Climate action
Openalex Percentile: Top 92%
Climate variability and models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.