Articles | Volume 19, issue 14
https://doi.org/10.5194/gmd-19-6797-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-6797-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
30 Jul 2026
Model description paper |
| 30 Jul 2026
| 30 Jul 2026
RIME-X v1.0: combining simple climate models, Earth system models, and climate impact models into a unified statistical emulator for regional climate indicators
Humboldt-Universität zu Berlin, Geography Department, 10099 Berlin, Germany
Energy, Climate, and Environment Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
Climate Analytics, Berlin, Germany
Mahé Perrette
Climate Analytics, Berlin, Germany
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Alfred Wegener Institute, Potsdam, Germany
Edward Byers
Energy, Climate, and Environment Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
Annika Högner
Humboldt-Universität zu Berlin, Geography Department, 10099 Berlin, Germany
Energy, Climate, and Environment Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
Quentin Lejeune
Climate Analytics, Berlin, Germany
Department of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, Brussels, Belgium
Tessa Möller
Humboldt-Universität zu Berlin, Geography Department, 10099 Berlin, Germany
Energy, Climate, and Environment Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
Zebedee Nicholls
Energy, Climate, and Environment Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
University of Melbourne, Melbourne, Australia
Climate Resource, Fitzroy, Australia
Peter Pfleiderer
Climate Analytics, Berlin, Germany
Institute of Meteorology, Leipzig University, Leipzig, Germany
Sarah Schöngart
Energy, Climate, and Environment Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
Michaela Werning
Energy, Climate, and Environment Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
Carl-Friedrich Schleussner
Humboldt-Universität zu Berlin, Geography Department, 10099 Berlin, Germany
Energy, Climate, and Environment Program, International Institute for Applied Systems Analysis, Laxenburg, Austria
Climate Analytics, Berlin, Germany
Data sets
Code and Data for Paper: "RIME-X v1.0: Combining Simple Climate Models, Earth System Models, and Climate Impact Models into a Unified Statistical Emulator for Regional Climate Indicators" Niklas Schwind et al. https://doi.org/10.5281/zenodo.17491734
The ETH Zurich CMIP6 next generation archive: technical documentation (v1.0-final), Version 1.0-final Lukas Brunner et al. https://doi.org/10.5281/zenodo.3734128
Short summary
We study how regional climate and climate impact indicators may respond to different emissions scenarios. Their possible outcomes are shaped by uncertainties in future emissions, global warming, regional effects of global warming, and the chaotic climate system. We introduce RIME-X (Rapid Impact Model Emulator Extended), an emulator that combines multiple tools and datasets to estimate probabilistically how any emissions path may influence regional outcomes.
We study how regional climate and climate impact indicators may respond to different emissions...
