Articles | Volume 16, issue 24
https://doi.org/10.5194/acp-16-15789-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-15789-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
22 Dec 2016
Research article |
| 22 Dec 2016
Dynamic climate emulators for solar geoengineering
Department of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA
Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA
Ben Kravitz
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA
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Cited
23 citations as recorded by crossref.
- Fldgen v1.0: an emulator with internal variability and space–time correlation for Earth system models R. Link et al. 10.5194/gmd-12-1477-2019
- Uncertainty and the basis for confidence in solar geoengineering research B. Kravitz & D. MacMartin 10.1038/s43017-019-0004-7
- Regional dynamical and statistical downscaling temperature, humidity and wind speed for the Beijing region under stratospheric aerosol injection geoengineering J. Wang et al. 10.5194/esd-13-1625-2022
- Exploring precipitation pattern scaling methodologies and robustness among CMIP5 models B. Kravitz et al. 10.5194/gmd-10-1889-2017
- Complementing CO<sub>2</sub> emission reduction by solar radiation management might strongly enhance future welfare K. Helwegen et al. 10.5194/esd-10-453-2019
- Emulating inconsistencies in stratospheric aerosol injection J. Farley et al. 10.1088/2752-5295/ad519c
- Can we use linear response theory to assess geoengineering strategies? T. Bódai et al. 10.1063/1.5122255
- Next steps in geoengineering scenario research: limited deployment scenarios and beyond M. Sugiyama et al. 10.1080/14693062.2017.1323721
- Technical note: Deep learning for creating surrogate models of precipitation in Earth system models T. Weber et al. 10.5194/acp-20-2303-2020
- Kicking the can down the road: understanding the effects of delaying the deployment of stratospheric aerosol injection E. Brody et al. 10.1088/2752-5295/ad53f3
- The Indonesian Throughflow circulation under solar geoengineering C. Shen et al. 10.5194/esd-14-1317-2023
- The Engineering of Climate Engineering D. MacMartin & B. Kravitz 10.1146/annurev-control-053018-023725
- Solar geoengineering as part of an overall strategy for meeting the 1.5°C Paris target D. MacMartin et al. 10.1098/rsta.2016.0454
- Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 2: Application to the land carbon cycle in the MPI Earth System Model G. Torres Mendonça et al. 10.5194/npg-28-533-2021
- Opinion: The scientific and community-building roles of the Geoengineering Model Intercomparison Project (GeoMIP) – past, present, and future D. Visioni et al. 10.5194/acp-23-5149-2023
- Pangeo-Enabled ESM Pattern Scaling (PEEPS): A customizable dataset of emulated Earth System Model output B. Kravitz et al. 10.1371/journal.pclm.0000159
- Timescale for Detecting the Climate Response to Stratospheric Aerosol Geoengineering D. MacMartin et al. 10.1029/2018JD028906
- Halving warming with stratospheric aerosol geoengineering moderates policy-relevant climate hazards P. Irvine & D. Keith 10.1088/1748-9326/ab76de
- Scenarios for modeling solar radiation modification D. MacMartin et al. 10.1073/pnas.2202230119
- Technical note: Simultaneous fully dynamic characterization of multiple input–output relationships in climate models B. Kravitz et al. 10.5194/acp-17-2525-2017
- Climate econometric models indicate solar geoengineering would reduce inter-country income inequality A. Harding et al. 10.1038/s41467-019-13957-x
- Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 1: Method development and toy model demonstration G. Torres Mendonça et al. 10.5194/npg-28-501-2021
- Stratospheric ozone response to sulfate aerosol and solar dimming climate interventions based on the G6 Geoengineering Model Intercomparison Project (GeoMIP) simulations S. Tilmes et al. 10.5194/acp-22-4557-2022
23 citations as recorded by crossref.
- Fldgen v1.0: an emulator with internal variability and space–time correlation for Earth system models R. Link et al. 10.5194/gmd-12-1477-2019
- Uncertainty and the basis for confidence in solar geoengineering research B. Kravitz & D. MacMartin 10.1038/s43017-019-0004-7
- Regional dynamical and statistical downscaling temperature, humidity and wind speed for the Beijing region under stratospheric aerosol injection geoengineering J. Wang et al. 10.5194/esd-13-1625-2022
- Exploring precipitation pattern scaling methodologies and robustness among CMIP5 models B. Kravitz et al. 10.5194/gmd-10-1889-2017
- Complementing CO<sub>2</sub> emission reduction by solar radiation management might strongly enhance future welfare K. Helwegen et al. 10.5194/esd-10-453-2019
- Emulating inconsistencies in stratospheric aerosol injection J. Farley et al. 10.1088/2752-5295/ad519c
- Can we use linear response theory to assess geoengineering strategies? T. Bódai et al. 10.1063/1.5122255
- Next steps in geoengineering scenario research: limited deployment scenarios and beyond M. Sugiyama et al. 10.1080/14693062.2017.1323721
- Technical note: Deep learning for creating surrogate models of precipitation in Earth system models T. Weber et al. 10.5194/acp-20-2303-2020
- Kicking the can down the road: understanding the effects of delaying the deployment of stratospheric aerosol injection E. Brody et al. 10.1088/2752-5295/ad53f3
- The Indonesian Throughflow circulation under solar geoengineering C. Shen et al. 10.5194/esd-14-1317-2023
- The Engineering of Climate Engineering D. MacMartin & B. Kravitz 10.1146/annurev-control-053018-023725
- Solar geoengineering as part of an overall strategy for meeting the 1.5°C Paris target D. MacMartin et al. 10.1098/rsta.2016.0454
- Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 2: Application to the land carbon cycle in the MPI Earth System Model G. Torres Mendonça et al. 10.5194/npg-28-533-2021
- Opinion: The scientific and community-building roles of the Geoengineering Model Intercomparison Project (GeoMIP) – past, present, and future D. Visioni et al. 10.5194/acp-23-5149-2023
- Pangeo-Enabled ESM Pattern Scaling (PEEPS): A customizable dataset of emulated Earth System Model output B. Kravitz et al. 10.1371/journal.pclm.0000159
- Timescale for Detecting the Climate Response to Stratospheric Aerosol Geoengineering D. MacMartin et al. 10.1029/2018JD028906
- Halving warming with stratospheric aerosol geoengineering moderates policy-relevant climate hazards P. Irvine & D. Keith 10.1088/1748-9326/ab76de
- Scenarios for modeling solar radiation modification D. MacMartin et al. 10.1073/pnas.2202230119
- Technical note: Simultaneous fully dynamic characterization of multiple input–output relationships in climate models B. Kravitz et al. 10.5194/acp-17-2525-2017
- Climate econometric models indicate solar geoengineering would reduce inter-country income inequality A. Harding et al. 10.1038/s41467-019-13957-x
- Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 1: Method development and toy model demonstration G. Torres Mendonça et al. 10.5194/npg-28-501-2021
- Stratospheric ozone response to sulfate aerosol and solar dimming climate interventions based on the G6 Geoengineering Model Intercomparison Project (GeoMIP) simulations S. Tilmes et al. 10.5194/acp-22-4557-2022
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Latest update: 14 Dec 2024
Short summary
Solar geoengineering has been proposed as a possible additional approach for managing risks of climate change, by reflecting some sunlight back to space. To project climate effects resulting from future choices regarding both greenhouse gas emissions and solar geoengineering, it is useful to have a computationally efficient "emulator" that approximates the behavior of more complex climate models. We present such an emulator here, and validate the underlying assumption of linearity.
Solar geoengineering has been proposed as a possible additional approach for managing risks of...
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