An optimally tuned ensemble of the "eb_go_gs" configuration of GENIE: parameter sensitivity and bifurcations in the Atlantic overturning circulation
The key physical parameters for the "eb_go_gs" configuration of version 2.7.4 of GENIE, an Earth system model of intermediate complexity (EMIC), are tuned using a multi-objective genetic algorithm. An ensemble of 90 parameter sets is tuned using two ocean and two atmospheric state variable...
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ftsouthampton:oai:eprints.soton.ac.uk:359348 2023-07-30T04:06:45+02:00 An optimally tuned ensemble of the "eb_go_gs" configuration of GENIE: parameter sensitivity and bifurcations in the Atlantic overturning circulation Marsh, R. Sobester, Andras Hart, Elizabeth E. Oliver, K.I.C. Edwards, Neil Cox, S.J. 2013-10-21 text https://eprints.soton.ac.uk/359348/ https://eprints.soton.ac.uk/359348/1/gmd-6-1729-2013.pdf en English eng https://eprints.soton.ac.uk/359348/1/gmd-6-1729-2013.pdf Marsh, R., Sobester, Andras, Hart, Elizabeth E., Oliver, K.I.C., Edwards, Neil and Cox, S.J. (2013) An optimally tuned ensemble of the "eb_go_gs" configuration of GENIE: parameter sensitivity and bifurcations in the Atlantic overturning circulation. Geoscientific Model Development, 6, 1729-1744. (doi:10.5194/gmd-6-1729-2013 <http://dx.doi.org/10.5194/gmd-6-1729-2013>). Article PeerReviewed 2013 ftsouthampton https://doi.org/10.5194/gmd-6-1729-2013 2023-07-09T21:49:57Z The key physical parameters for the "eb_go_gs" configuration of version 2.7.4 of GENIE, an Earth system model of intermediate complexity (EMIC), are tuned using a multi-objective genetic algorithm. An ensemble of 90 parameter sets is tuned using two ocean and two atmospheric state variables as targets. These are "Pareto-optimal", representing a range of trade-offs between the four tuning targets. For the leading five parameter sets, simulations are evaluated alongside a simulation with untuned "default" parameters, comparing selected variables and diagnostics that describe the state of the atmosphere, ocean and sea ice. Further experiments are undertaken with these selected parameter sets to compare equilibrium climate sensitivities and transient climate responses. The pattern of warming under doubled CO2 is strongly shaped by changes in the Atlantic meridional overturning circulation (AMOC), while the pattern and rate of warming under rising CO2 is closely linked to changing sea ice extent. One of the five tuned parameter sets is identified as marginally optimal, and the objective function (error) landscape is further analysed in the vicinity of the tuned values of this parameter set. "Cliffs" along some dimensions motivate closer inspection of corresponding variations in the AMOC. This reveals that bifurcations in the AMOC are highly sensitive to parameters that are not typically associated with MOC stability. Specifically, the state of the AMOC is sensitive to parameters governing the wind-driven circulation and atmospheric heat transport. For the GENIE configuration presented here, the marginally optimal parameter set is recommended for single simulations, although the leading five parameter sets may be used in ensemble mode to admit a constrained degree of parametric uncertainty in climate prediction. Article in Journal/Newspaper Sea ice University of Southampton: e-Prints Soton Geoscientific Model Development 6 5 1729 1744 |
institution |
Open Polar |
collection |
University of Southampton: e-Prints Soton |
op_collection_id |
ftsouthampton |
language |
English |
description |
The key physical parameters for the "eb_go_gs" configuration of version 2.7.4 of GENIE, an Earth system model of intermediate complexity (EMIC), are tuned using a multi-objective genetic algorithm. An ensemble of 90 parameter sets is tuned using two ocean and two atmospheric state variables as targets. These are "Pareto-optimal", representing a range of trade-offs between the four tuning targets. For the leading five parameter sets, simulations are evaluated alongside a simulation with untuned "default" parameters, comparing selected variables and diagnostics that describe the state of the atmosphere, ocean and sea ice. Further experiments are undertaken with these selected parameter sets to compare equilibrium climate sensitivities and transient climate responses. The pattern of warming under doubled CO2 is strongly shaped by changes in the Atlantic meridional overturning circulation (AMOC), while the pattern and rate of warming under rising CO2 is closely linked to changing sea ice extent. One of the five tuned parameter sets is identified as marginally optimal, and the objective function (error) landscape is further analysed in the vicinity of the tuned values of this parameter set. "Cliffs" along some dimensions motivate closer inspection of corresponding variations in the AMOC. This reveals that bifurcations in the AMOC are highly sensitive to parameters that are not typically associated with MOC stability. Specifically, the state of the AMOC is sensitive to parameters governing the wind-driven circulation and atmospheric heat transport. For the GENIE configuration presented here, the marginally optimal parameter set is recommended for single simulations, although the leading five parameter sets may be used in ensemble mode to admit a constrained degree of parametric uncertainty in climate prediction. |
format |
Article in Journal/Newspaper |
author |
Marsh, R. Sobester, Andras Hart, Elizabeth E. Oliver, K.I.C. Edwards, Neil Cox, S.J. |
spellingShingle |
Marsh, R. Sobester, Andras Hart, Elizabeth E. Oliver, K.I.C. Edwards, Neil Cox, S.J. An optimally tuned ensemble of the "eb_go_gs" configuration of GENIE: parameter sensitivity and bifurcations in the Atlantic overturning circulation |
author_facet |
Marsh, R. Sobester, Andras Hart, Elizabeth E. Oliver, K.I.C. Edwards, Neil Cox, S.J. |
author_sort |
Marsh, R. |
title |
An optimally tuned ensemble of the "eb_go_gs" configuration of GENIE: parameter sensitivity and bifurcations in the Atlantic overturning circulation |
title_short |
An optimally tuned ensemble of the "eb_go_gs" configuration of GENIE: parameter sensitivity and bifurcations in the Atlantic overturning circulation |
title_full |
An optimally tuned ensemble of the "eb_go_gs" configuration of GENIE: parameter sensitivity and bifurcations in the Atlantic overturning circulation |
title_fullStr |
An optimally tuned ensemble of the "eb_go_gs" configuration of GENIE: parameter sensitivity and bifurcations in the Atlantic overturning circulation |
title_full_unstemmed |
An optimally tuned ensemble of the "eb_go_gs" configuration of GENIE: parameter sensitivity and bifurcations in the Atlantic overturning circulation |
title_sort |
optimally tuned ensemble of the "eb_go_gs" configuration of genie: parameter sensitivity and bifurcations in the atlantic overturning circulation |
publishDate |
2013 |
url |
https://eprints.soton.ac.uk/359348/ https://eprints.soton.ac.uk/359348/1/gmd-6-1729-2013.pdf |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://eprints.soton.ac.uk/359348/1/gmd-6-1729-2013.pdf Marsh, R., Sobester, Andras, Hart, Elizabeth E., Oliver, K.I.C., Edwards, Neil and Cox, S.J. (2013) An optimally tuned ensemble of the "eb_go_gs" configuration of GENIE: parameter sensitivity and bifurcations in the Atlantic overturning circulation. Geoscientific Model Development, 6, 1729-1744. (doi:10.5194/gmd-6-1729-2013 <http://dx.doi.org/10.5194/gmd-6-1729-2013>). |
op_doi |
https://doi.org/10.5194/gmd-6-1729-2013 |
container_title |
Geoscientific Model Development |
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6 |
container_issue |
5 |
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1729 |
op_container_end_page |
1744 |
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1772819641580650496 |