A Partial Coupling Method to Isolate the Roles of the Atmosphere and Ocean in Coupled Climate Simulations
This study describes the formulation and application of a partial coupling method that disentangles the coupling between the atmosphere and ocean and isolates the atmosphere- and ocean-driven components of the coupled climate interactions. In contrast to strategies using stand-alone simulations with...
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ftosti:oai:osti.gov:1682240 2023-07-30T04:06:46+02:00 A Partial Coupling Method to Isolate the Roles of the Atmosphere and Ocean in Coupled Climate Simulations Garuba, Oluwayemi A. Rasch, Philip J. 2021-03-17 application/pdf http://www.osti.gov/servlets/purl/1682240 https://www.osti.gov/biblio/1682240 https://doi.org/10.1029/2019ms002016 unknown http://www.osti.gov/servlets/purl/1682240 https://www.osti.gov/biblio/1682240 https://doi.org/10.1029/2019ms002016 doi:10.1029/2019ms002016 54 ENVIRONMENTAL SCIENCES 2021 ftosti https://doi.org/10.1029/2019ms002016 2023-07-11T09:49:35Z This study describes the formulation and application of a partial coupling method that disentangles the coupling between the atmosphere and ocean and isolates the atmosphere- and ocean-driven components of the coupled climate interactions. In contrast to strategies using stand-alone simulations with prescribed atmosphere or ocean states, the climate components in the partially coupled method remain coupled, but the impact of ocean circulation changes is removed from the air-sea interaction using temperature-like tracers. The partially coupled simulation thereby suppresses the ocean-driven interaction and isolates an atmosphere-driven interaction only. The ocean-driven component can be inferred by comparing climate response in the partially coupled simulation with that of a standard fully coupled one. The partial coupling approach is applied to decompose the fully coupled climate response to CO 2 quadrupling into atmosphere- and ocean-driven components. The linearity of the decomposition is validated by simulating the ocean-driven response using another complimentary partially coupled simulation forced only with the atmosphere-driven anomalous surface fluxes. A comparison of the two partially coupled simulations with the fully coupled simulation indicates that the sum of the atmosphere- and ocean-driven components accurately describes the fully coupled response. The decomposition identifies several robust atmosphere- and ocean-driven features of the global warming and provides new insights into the impacts of atmospheric feedbacks on the Atlantic overturning circulation and sea ice response to CO 2 increase. Other/Unknown Material Sea ice SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Journal of Advances in Modeling Earth Systems 12 9 |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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54 ENVIRONMENTAL SCIENCES |
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54 ENVIRONMENTAL SCIENCES Garuba, Oluwayemi A. Rasch, Philip J. A Partial Coupling Method to Isolate the Roles of the Atmosphere and Ocean in Coupled Climate Simulations |
topic_facet |
54 ENVIRONMENTAL SCIENCES |
description |
This study describes the formulation and application of a partial coupling method that disentangles the coupling between the atmosphere and ocean and isolates the atmosphere- and ocean-driven components of the coupled climate interactions. In contrast to strategies using stand-alone simulations with prescribed atmosphere or ocean states, the climate components in the partially coupled method remain coupled, but the impact of ocean circulation changes is removed from the air-sea interaction using temperature-like tracers. The partially coupled simulation thereby suppresses the ocean-driven interaction and isolates an atmosphere-driven interaction only. The ocean-driven component can be inferred by comparing climate response in the partially coupled simulation with that of a standard fully coupled one. The partial coupling approach is applied to decompose the fully coupled climate response to CO 2 quadrupling into atmosphere- and ocean-driven components. The linearity of the decomposition is validated by simulating the ocean-driven response using another complimentary partially coupled simulation forced only with the atmosphere-driven anomalous surface fluxes. A comparison of the two partially coupled simulations with the fully coupled simulation indicates that the sum of the atmosphere- and ocean-driven components accurately describes the fully coupled response. The decomposition identifies several robust atmosphere- and ocean-driven features of the global warming and provides new insights into the impacts of atmospheric feedbacks on the Atlantic overturning circulation and sea ice response to CO 2 increase. |
author |
Garuba, Oluwayemi A. Rasch, Philip J. |
author_facet |
Garuba, Oluwayemi A. Rasch, Philip J. |
author_sort |
Garuba, Oluwayemi A. |
title |
A Partial Coupling Method to Isolate the Roles of the Atmosphere and Ocean in Coupled Climate Simulations |
title_short |
A Partial Coupling Method to Isolate the Roles of the Atmosphere and Ocean in Coupled Climate Simulations |
title_full |
A Partial Coupling Method to Isolate the Roles of the Atmosphere and Ocean in Coupled Climate Simulations |
title_fullStr |
A Partial Coupling Method to Isolate the Roles of the Atmosphere and Ocean in Coupled Climate Simulations |
title_full_unstemmed |
A Partial Coupling Method to Isolate the Roles of the Atmosphere and Ocean in Coupled Climate Simulations |
title_sort |
partial coupling method to isolate the roles of the atmosphere and ocean in coupled climate simulations |
publishDate |
2021 |
url |
http://www.osti.gov/servlets/purl/1682240 https://www.osti.gov/biblio/1682240 https://doi.org/10.1029/2019ms002016 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
http://www.osti.gov/servlets/purl/1682240 https://www.osti.gov/biblio/1682240 https://doi.org/10.1029/2019ms002016 doi:10.1029/2019ms002016 |
op_doi |
https://doi.org/10.1029/2019ms002016 |
container_title |
Journal of Advances in Modeling Earth Systems |
container_volume |
12 |
container_issue |
9 |
_version_ |
1772819676132278272 |