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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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 |
work_keys_str_mv |
AT dgmacmartin dynamicclimateemulatorsforsolargeoengineering AT dgmacmartin dynamicclimateemulatorsforsolargeoengineering AT bkravitz dynamicclimateemulatorsforsolargeoengineering |
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1725726764322258944 |