Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 5
Articles | Volume 15, issue 5
https://doi.org/10.5194/gmd-15-2085-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-2085-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 5
Model description paper
 | 
11 Mar 2022
Model description paper |  | 11 Mar 2022

From emission scenarios to spatially resolved projections with a chain of computationally efficient emulators: coupling of MAGICC (v7.5.1) and MESMER (v0.8.3)

Lea Beusch, Zebedee Nicholls, Lukas Gudmundsson, Mathias Hauser, Malte Meinshausen, and Sonia I. Seneviratne

Supplement

https://doi.org/10.5194/gmd-15-2085-2022-supplement

Model code and software

MESMER version used in this study (MESMER v0.8.3) Mathias Hauser, Lea Beusch, Zebedee Nicholls, and Jonas Schwaab https://doi.org/10.5281/zenodo.5802054

MAGICC-MESMER coupler used in this study (MESMER-OpenSCM Runner v0.1.0) Zebedee Nicholls, Lea Beusch, and Mathias Hauser https://doi.org/10.5281/zenodo.5094380

Scripts (v1.0.0) for the study: From emission scenarios to spatially resolved projections with a chain of computationally efficient emulators: coupling of MAGICC (v7.5.1) and MESMER (v0.8.3) Lea Beusch https://doi.org/10.5281/zenodo.6334911

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Short summary
We introduce the first chain of computationally efficient Earth system model (ESM) emulators to translate user-defined greenhouse gas emission pathways into regional temperature change time series accounting for all major sources of climate change projection uncertainty. By combining the global mean emulator MAGICC with the spatially resolved emulator MESMER, we can derive ESM-specific and constrained probabilistic emulations to rapidly provide targeted climate information at the local scale.
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