Dynamic climate emulators for solar geoengineering

Climate emulators trained on existing simulations can be used to project project the climate effects that result from different possible future pathways of anthropogenic forcing, without further relying on general circulation model (GCM) simulations. We extend this idea to include different amou...

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Main Authors: D. G. MacMartin, B. Kravitz
Format: Article
Language:English
Published: Copernicus Publications 2016-12-01
Series:Atmospheric Chemistry and Physics
Online Access:https://www.atmos-chem-phys.net/16/15789/2016/acp-16-15789-2016.pdf
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spelling doaj-9e220b20ac374289b7e5931c5dddb1062020-11-24T22:34:33ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242016-12-0116157891579910.5194/acp-16-15789-2016Dynamic climate emulators for solar geoengineeringD. G. MacMartin0D. G. MacMartin1B. Kravitz2Department of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USAComputing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USAAtmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USAClimate emulators trained on existing simulations can be used to project project the climate effects that result from different possible future pathways of anthropogenic forcing, without further relying on general circulation model (GCM) simulations. We extend this idea to include different amounts of solar geoengineering in addition to different pathways of greenhouse gas concentrations, by training emulators from a multi-model ensemble of simulations from the Geoengineering Model Intercomparison Project (GeoMIP). The emulator is trained on the abrupt 4 × CO<sub>2</sub> and a compensating solar reduction simulation (G1), and evaluated by comparing predictions against a simulated 1 % per year CO<sub>2</sub> increase and a similarly smaller solar reduction (G2). We find reasonable agreement in most models for predicting changes in temperature and precipitation (including regional effects), and annual-mean Northern Hemisphere sea ice extent, with the difference between simulation and prediction typically being smaller than natural variability. This verifies that the linearity assumption used in constructing the emulator is sufficient for these variables over the range of forcing considered. Annual-minimum Northern Hemisphere sea ice extent is less well predicted, indicating a limit to the linearity assumption.https://www.atmos-chem-phys.net/16/15789/2016/acp-16-15789-2016.pdf
collection DOAJ
language English
format Article
sources DOAJ
author D. G. MacMartin
D. G. MacMartin
B. Kravitz
spellingShingle D. G. MacMartin
D. G. MacMartin
B. Kravitz
Dynamic climate emulators for solar geoengineering
Atmospheric Chemistry and Physics
author_facet D. G. MacMartin
D. G. MacMartin
B. Kravitz
author_sort D. G. MacMartin
title Dynamic climate emulators for solar geoengineering
title_short Dynamic climate emulators for solar geoengineering
title_full Dynamic climate emulators for solar geoengineering
title_fullStr Dynamic climate emulators for solar geoengineering
title_full_unstemmed Dynamic climate emulators for solar geoengineering
title_sort dynamic climate emulators for solar geoengineering
publisher Copernicus Publications
series Atmospheric Chemistry and Physics
issn 1680-7316
1680-7324
publishDate 2016-12-01
description Climate emulators trained on existing simulations can be used to project project the climate effects that result from different possible future pathways of anthropogenic forcing, without further relying on general circulation model (GCM) simulations. We extend this idea to include different amounts of solar geoengineering in addition to different pathways of greenhouse gas concentrations, by training emulators from a multi-model ensemble of simulations from the Geoengineering Model Intercomparison Project (GeoMIP). The emulator is trained on the abrupt 4 × CO<sub>2</sub> and a compensating solar reduction simulation (G1), and evaluated by comparing predictions against a simulated 1 % per year CO<sub>2</sub> increase and a similarly smaller solar reduction (G2). We find reasonable agreement in most models for predicting changes in temperature and precipitation (including regional effects), and annual-mean Northern Hemisphere sea ice extent, with the difference between simulation and prediction typically being smaller than natural variability. This verifies that the linearity assumption used in constructing the emulator is sufficient for these variables over the range of forcing considered. Annual-minimum Northern Hemisphere sea ice extent is less well predicted, indicating a limit to the linearity assumption.
url https://www.atmos-chem-phys.net/16/15789/2016/acp-16-15789-2016.pdf
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