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 amounts...

Full description

Bibliographic Details
Published in:Atmospheric Chemistry and Physics
Main Authors: MacMartin, Douglas G., Kravitz, Ben
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/acp-16-15789-2016
https://www.atmos-chem-phys.net/16/15789/2016/
id ftcopernicus:oai:publications.copernicus.org:acp52995
record_format openpolar
spelling ftcopernicus:oai:publications.copernicus.org:acp52995 2023-05-15T18:17:46+02:00 Dynamic climate emulators for solar geoengineering MacMartin, Douglas G. Kravitz, Ben 2018-09-19 application/pdf https://doi.org/10.5194/acp-16-15789-2016 https://www.atmos-chem-phys.net/16/15789/2016/ eng eng doi:10.5194/acp-16-15789-2016 https://www.atmos-chem-phys.net/16/15789/2016/ eISSN: 1680-7324 Text 2018 ftcopernicus https://doi.org/10.5194/acp-16-15789-2016 2019-12-24T09:51:46Z 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 2 and a compensating solar reduction simulation (G1), and evaluated by comparing predictions against a simulated 1 % per year CO 2 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. Text Sea ice Copernicus Publications: E-Journals Atmospheric Chemistry and Physics 16 24 15789 15799
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
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 2 and a compensating solar reduction simulation (G1), and evaluated by comparing predictions against a simulated 1 % per year CO 2 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.
format Text
author MacMartin, Douglas G.
Kravitz, Ben
spellingShingle MacMartin, Douglas G.
Kravitz, Ben
Dynamic climate emulators for solar geoengineering
author_facet MacMartin, Douglas G.
Kravitz, Ben
author_sort MacMartin, Douglas G.
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
publishDate 2018
url https://doi.org/10.5194/acp-16-15789-2016
https://www.atmos-chem-phys.net/16/15789/2016/
genre Sea ice
genre_facet Sea ice
op_source eISSN: 1680-7324
op_relation doi:10.5194/acp-16-15789-2016
https://www.atmos-chem-phys.net/16/15789/2016/
op_doi https://doi.org/10.5194/acp-16-15789-2016
container_title Atmospheric Chemistry and Physics
container_volume 16
container_issue 24
container_start_page 15789
op_container_end_page 15799
_version_ 1766192936571109376