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.
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.
the Creative Commons Attribution 4.0 License.
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)
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Zebedee Nicholls
Climate and Energy College, The University of Melbourne, Parkville, Victoria, Australia
School of Geography, Earth and Atmospheric Sciences, The University of Melbourne, Parkville, Victoria, Australia
Climate Resource, Northcote, Victoria, Australia
Lukas Gudmundsson
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Mathias Hauser
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Malte Meinshausen
Climate and Energy College, The University of Melbourne, Parkville, Victoria, Australia
School of Geography, Earth and Atmospheric Sciences, The University of Melbourne, Parkville, Victoria, Australia
Climate Resource, Northcote, Victoria, Australia
Sonia I. Seneviratne
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
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18 citations as recorded by crossref.
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- The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways: from emissions to global temperatures J. Kikstra et al. 10.5194/gmd-15-9075-2022
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- Advancing research on compound weather and climate events via large ensemble model simulations E. Bevacqua et al. 10.1038/s41467-023-37847-5
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- Understanding pattern scaling errors across a range of emissions pathways C. Wells et al. 10.5194/esd-14-817-2023
- Australian climate warming: observed change from 1850 and global temperature targets M. Grose et al. 10.1071/ES22018
- Showcasing MESMER‐X: Spatially Resolved Emulation of Annual Maximum Temperatures of Earth System Models Y. Quilcaille et al. 10.1029/2022GL099012
- Autocalibration of the E3SM Version 2 Atmosphere Model Using a PCA‐Based Surrogate for Spatial Fields D. Yarger et al. 10.1029/2023MS003961
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- 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) L. Beusch et al. 10.5194/gmd-15-2085-2022
- ClimateBench v1.0: A Benchmark for Data‐Driven Climate Projections D. Watson‐Parris et al. 10.1029/2021MS002954
- Responsibility of major emitters for country-level warming and extreme hot years L. Beusch et al. 10.1038/s43247-021-00320-6
15 citations as recorded by crossref.
- Extending MESMER-X: a spatially resolved Earth system model emulator for fire weather and soil moisture Y. Quilcaille et al. 10.5194/esd-14-1333-2023
- Rapidly evolving aerosol emissions are a dangerous omission from near-term climate risk assessments G. Persad et al. 10.1088/2752-5295/acd6af
- The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways: from emissions to global temperatures J. Kikstra et al. 10.5194/gmd-15-9075-2022
- New Potential to Reduce Uncertainty in Regional Climate Projections by Combining Physical and Socio‐Economic Constraints F. Lehner et al. 10.1029/2023AV000887
- A new precipitation emulator (PREMU v1.0) for lower-complexity models G. Liu et al. 10.5194/gmd-16-1277-2023
- A perspective on the next generation of Earth system model scenarios: towards representative emission pathways (REPs) M. Meinshausen et al. 10.5194/gmd-17-4533-2024
- STITCHES: creating new scenarios of climate model output by stitching together pieces of existing simulations C. Tebaldi et al. 10.5194/esd-13-1557-2022
- Advancing research on compound weather and climate events via large ensemble model simulations E. Bevacqua et al. 10.1038/s41467-023-37847-5
- Addressing Complexity in Global Aerosol Climate Model Cloud Microphysics U. Proske et al. 10.1029/2022MS003571
- Evaluating the potential of iron-based interventions in methane reduction and climate mitigation D. Meidan et al. 10.1088/1748-9326/ad3d72
- Understanding pattern scaling errors across a range of emissions pathways C. Wells et al. 10.5194/esd-14-817-2023
- Australian climate warming: observed change from 1850 and global temperature targets M. Grose et al. 10.1071/ES22018
- Showcasing MESMER‐X: Spatially Resolved Emulation of Annual Maximum Temperatures of Earth System Models Y. Quilcaille et al. 10.1029/2022GL099012
- Autocalibration of the E3SM Version 2 Atmosphere Model Using a PCA‐Based Surrogate for Spatial Fields D. Yarger et al. 10.1029/2023MS003961
- MESMER-M: an Earth system model emulator for spatially resolved monthly temperature S. Nath et al. 10.5194/esd-13-851-2022
3 citations as recorded by crossref.
- 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) L. Beusch et al. 10.5194/gmd-15-2085-2022
- ClimateBench v1.0: A Benchmark for Data‐Driven Climate Projections D. Watson‐Parris et al. 10.1029/2021MS002954
- Responsibility of major emitters for country-level warming and extreme hot years L. Beusch et al. 10.1038/s43247-021-00320-6
Latest update: 20 Nov 2024
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.
We introduce the first chain of computationally efficient Earth system model (ESM) emulators to...