Uncertainty quantification of ocean parameterizations: application to the K‐Profile‐Parameterization for penetrative convection
©2020. The Authors. Parameterizations of unresolved turbulent processes often compromise the fidelity of large-scale ocean models. In this work, we argue for a Bayesian approach to the refinement and evaluation of turbulence parameterizations. Using an ensemble of large eddy simulations of turbulent...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Geophysical Union (AGU)
2021
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| Online Access: | https://hdl.handle.net/1721.1/136064 |
| _version_ | 1811073062864420864 |
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| author | Souza, AN Wagner, GL Ramadhan, A Allen, B Churavy, V Schloss, J Campin, J Hill, C Edelman, A Marshall, J Flierl, G Ferrari, R |
| author_facet | Souza, AN Wagner, GL Ramadhan, A Allen, B Churavy, V Schloss, J Campin, J Hill, C Edelman, A Marshall, J Flierl, G Ferrari, R |
| author_sort | Souza, AN |
| collection | MIT |
| description | ©2020. The Authors. Parameterizations of unresolved turbulent processes often compromise the fidelity of large-scale ocean models. In this work, we argue for a Bayesian approach to the refinement and evaluation of turbulence parameterizations. Using an ensemble of large eddy simulations of turbulent penetrative convection in the surface boundary layer, we demonstrate the method by estimating the uncertainty of parameters in the convective limit of the popular “K-Profile Parameterization.” We uncover structural deficiencies and propose an alternative scaling that overcomes them. |
| first_indexed | 2024-09-23T09:28:01Z |
| format | Article |
| id | mit-1721.1/136064 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T09:28:01Z |
| publishDate | 2021 |
| publisher | American Geophysical Union (AGU) |
| record_format | dspace |
| spelling | mit-1721.1/1360642021-10-28T04:45:15Z Uncertainty quantification of ocean parameterizations: application to the K‐Profile‐Parameterization for penetrative convection Souza, AN Wagner, GL Ramadhan, A Allen, B Churavy, V Schloss, J Campin, J Hill, C Edelman, A Marshall, J Flierl, G Ferrari, R ©2020. The Authors. Parameterizations of unresolved turbulent processes often compromise the fidelity of large-scale ocean models. In this work, we argue for a Bayesian approach to the refinement and evaluation of turbulence parameterizations. Using an ensemble of large eddy simulations of turbulent penetrative convection in the surface boundary layer, we demonstrate the method by estimating the uncertainty of parameters in the convective limit of the popular “K-Profile Parameterization.” We uncover structural deficiencies and propose an alternative scaling that overcomes them. 2021-10-27T20:30:37Z 2021-10-27T20:30:37Z 2020 2021-05-19T17:50:06Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/136064 en 10.1029/2020MS002108 Journal of Advances in Modelling Earth Systems Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf American Geophysical Union (AGU) American Geophysical Union (AGU) |
| spellingShingle | Souza, AN Wagner, GL Ramadhan, A Allen, B Churavy, V Schloss, J Campin, J Hill, C Edelman, A Marshall, J Flierl, G Ferrari, R Uncertainty quantification of ocean parameterizations: application to the K‐Profile‐Parameterization for penetrative convection |
| title | Uncertainty quantification of ocean parameterizations: application to the K‐Profile‐Parameterization for penetrative convection |
| title_full | Uncertainty quantification of ocean parameterizations: application to the K‐Profile‐Parameterization for penetrative convection |
| title_fullStr | Uncertainty quantification of ocean parameterizations: application to the K‐Profile‐Parameterization for penetrative convection |
| title_full_unstemmed | Uncertainty quantification of ocean parameterizations: application to the K‐Profile‐Parameterization for penetrative convection |
| title_short | Uncertainty quantification of ocean parameterizations: application to the K‐Profile‐Parameterization for penetrative convection |
| title_sort | uncertainty quantification of ocean parameterizations application to the k profile parameterization for penetrative convection |
| url | https://hdl.handle.net/1721.1/136064 |
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