Articles | Volume 13, issue 4
https://doi.org/10.5194/esd-13-1557-2022
© 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/esd-13-1557-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Nov 2022
Research article |
| 11 Nov 2022
| 11 Nov 2022
STITCHES: creating new scenarios of climate model output by stitching together pieces of existing simulations
Joint Global Change Research Institute, Pacific Northwest National Laboratory, University of Maryland, College Park, MD, USA
Abigail Snyder
Joint Global Change Research Institute, Pacific Northwest National Laboratory, University of Maryland, College Park, MD, USA
Kalyn Dorheim
Joint Global Change Research Institute, Pacific Northwest National Laboratory, University of Maryland, College Park, MD, USA
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Cited
16 citations as recorded by crossref.
- Linking local climate scenarios to global warming levels: applicability, prospects and uncertainties B. Becsi & H. Formayer 10.1088/2752-5295/ad574e
- Reversal of the impact chain for actionable climate information P. Pfleiderer et al. 10.1038/s41561-024-01597-w
- 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
- Introducing the MESMER-M-TPv0.1.0 module: spatially explicit Earth system model emulation for monthly precipitation and temperature S. Schöngart et al. 10.5194/gmd-17-8283-2024
- Understanding pattern scaling errors across a range of emissions pathways C. Wells et al. 10.5194/esd-14-817-2023
- Uncertainty constraints on economic impact assessments of climate change simulated by an impact emulator H. Shiogama et al. 10.1088/1748-9326/aca68d
- Characterizing the multisectoral impacts of future global hydrologic variability A. Birnbaum et al. 10.1088/1748-9326/ad52af
- A rapid-application emissions-to-impacts tool for scenario assessment: Probabilistic Regional Impacts from Model patterns and Emissions (PRIME) C. Mathison et al. 10.5194/gmd-18-1785-2025
- Risk-based hydrologic design under climate change using stochastic weather and watershed modeling G. Shabestanipour et al. 10.3389/frwa.2024.1310590
- Spatially resolved emulated annual temperature projections for overshoot pathways J. Schwaab et al. 10.1038/s41597-024-04122-1
- Machine Learning for Climate Physics and Simulations C. Lai et al. 10.1146/annurev-conmatphys-043024-114758
- 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
- Uncertainty-informed selection of CMIP6 Earth system model subsets for use in multisectoral and impact models A. Snyder et al. 10.5194/esd-15-1301-2024
- Pangeo-Enabled ESM Pattern Scaling (PEEPS): A customizable dataset of emulated Earth System Model output B. Kravitz et al. 10.1371/journal.pclm.0000159
- STITCHES: a Python package to amalgamate existing Earth system model output into new scenario realizations A. Snyder et al. 10.21105/joss.05525
15 citations as recorded by crossref.
- Linking local climate scenarios to global warming levels: applicability, prospects and uncertainties B. Becsi & H. Formayer 10.1088/2752-5295/ad574e
- Reversal of the impact chain for actionable climate information P. Pfleiderer et al. 10.1038/s41561-024-01597-w
- 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
- Introducing the MESMER-M-TPv0.1.0 module: spatially explicit Earth system model emulation for monthly precipitation and temperature S. Schöngart et al. 10.5194/gmd-17-8283-2024
- Understanding pattern scaling errors across a range of emissions pathways C. Wells et al. 10.5194/esd-14-817-2023
- Uncertainty constraints on economic impact assessments of climate change simulated by an impact emulator H. Shiogama et al. 10.1088/1748-9326/aca68d
- Characterizing the multisectoral impacts of future global hydrologic variability A. Birnbaum et al. 10.1088/1748-9326/ad52af
- A rapid-application emissions-to-impacts tool for scenario assessment: Probabilistic Regional Impacts from Model patterns and Emissions (PRIME) C. Mathison et al. 10.5194/gmd-18-1785-2025
- Risk-based hydrologic design under climate change using stochastic weather and watershed modeling G. Shabestanipour et al. 10.3389/frwa.2024.1310590
- Spatially resolved emulated annual temperature projections for overshoot pathways J. Schwaab et al. 10.1038/s41597-024-04122-1
- Machine Learning for Climate Physics and Simulations C. Lai et al. 10.1146/annurev-conmatphys-043024-114758
- 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
- Uncertainty-informed selection of CMIP6 Earth system model subsets for use in multisectoral and impact models A. Snyder et al. 10.5194/esd-15-1301-2024
- Pangeo-Enabled ESM Pattern Scaling (PEEPS): A customizable dataset of emulated Earth System Model output B. Kravitz et al. 10.1371/journal.pclm.0000159
1 citations as recorded by crossref.
Latest update: 04 May 2025
Short summary
Impact modelers need many future scenarios to characterize the consequences of climate change. The climate modeling community cannot fully meet this need because of the computational cost of climate models. Emulators have fallen short of providing the entire range of inputs that modern impact models require. Our proposal, STITCHES, meets these demands in a comprehensive way and may thus support a fully integrated impact research effort and save resources for the climate modeling enterprise.
Impact modelers need many future scenarios to characterize the consequences of climate change....
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