Southern Ocean cloud and shortwave radiation biases in a nudged climate model simulation: does the model ever get it right?
The Southern Ocean radiative bias continues to impact climate and weather models, including the Australian Community Climate and Earth System Simulator (ACCESS). The radiative bias, characterised by too much shortwave radiation reaching the surface, is attributed to the incorrect simulation of cloud...
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ftcopernicus:oai:publications.copernicus.org:acpd102443 2023-05-15T18:24:45+02:00 Southern Ocean cloud and shortwave radiation biases in a nudged climate model simulation: does the model ever get it right? Fiddes, Sonya L. Protat, Alain Mallet, Marc D. Alexander, Simon P. Woodhouse, Matthew T. 2022-04-19 application/pdf https://doi.org/10.5194/acp-2022-259 https://acp.copernicus.org/preprints/acp-2022-259/ eng eng doi:10.5194/acp-2022-259 https://acp.copernicus.org/preprints/acp-2022-259/ eISSN: 1680-7324 Text 2022 ftcopernicus https://doi.org/10.5194/acp-2022-259 2022-04-25T16:22:31Z The Southern Ocean radiative bias continues to impact climate and weather models, including the Australian Community Climate and Earth System Simulator (ACCESS). The radiative bias, characterised by too much shortwave radiation reaching the surface, is attributed to the incorrect simulation of cloud frequency and phase. In this work, we use k -means cloud clustering, combined with nudged simulations of the latest generation ACCESS atmosphere model, to evaluate cloud and radiation biases when cloud types are correctly and incorrectly simulated. We find that even if the ACCESS model correctly simulates the cloud type, biases of equivalent, or in some cases greater, magnitude then when they are incorrectly simulated remain in the cloud and radiation fields examined. Furthermore, we find that even when radiative biases appear small on average, cloud property biases, such as liquid or ice water paths or cloud fractions remain large. Our results suggest that simply getting the right cloud type (or the cloud macrophysics) is not enough to reduce the Southern Ocean radiative bias. Furthermore, in instances where the radiative bias is small, it may be so for the wrong reasons. Considerable effort is still required to improve cloud microphysics, with a particular focus on cloud phase. Text Southern Ocean Copernicus Publications: E-Journals Southern Ocean |
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Copernicus Publications: E-Journals |
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English |
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The Southern Ocean radiative bias continues to impact climate and weather models, including the Australian Community Climate and Earth System Simulator (ACCESS). The radiative bias, characterised by too much shortwave radiation reaching the surface, is attributed to the incorrect simulation of cloud frequency and phase. In this work, we use k -means cloud clustering, combined with nudged simulations of the latest generation ACCESS atmosphere model, to evaluate cloud and radiation biases when cloud types are correctly and incorrectly simulated. We find that even if the ACCESS model correctly simulates the cloud type, biases of equivalent, or in some cases greater, magnitude then when they are incorrectly simulated remain in the cloud and radiation fields examined. Furthermore, we find that even when radiative biases appear small on average, cloud property biases, such as liquid or ice water paths or cloud fractions remain large. Our results suggest that simply getting the right cloud type (or the cloud macrophysics) is not enough to reduce the Southern Ocean radiative bias. Furthermore, in instances where the radiative bias is small, it may be so for the wrong reasons. Considerable effort is still required to improve cloud microphysics, with a particular focus on cloud phase. |
format |
Text |
author |
Fiddes, Sonya L. Protat, Alain Mallet, Marc D. Alexander, Simon P. Woodhouse, Matthew T. |
spellingShingle |
Fiddes, Sonya L. Protat, Alain Mallet, Marc D. Alexander, Simon P. Woodhouse, Matthew T. Southern Ocean cloud and shortwave radiation biases in a nudged climate model simulation: does the model ever get it right? |
author_facet |
Fiddes, Sonya L. Protat, Alain Mallet, Marc D. Alexander, Simon P. Woodhouse, Matthew T. |
author_sort |
Fiddes, Sonya L. |
title |
Southern Ocean cloud and shortwave radiation biases in a nudged climate model simulation: does the model ever get it right? |
title_short |
Southern Ocean cloud and shortwave radiation biases in a nudged climate model simulation: does the model ever get it right? |
title_full |
Southern Ocean cloud and shortwave radiation biases in a nudged climate model simulation: does the model ever get it right? |
title_fullStr |
Southern Ocean cloud and shortwave radiation biases in a nudged climate model simulation: does the model ever get it right? |
title_full_unstemmed |
Southern Ocean cloud and shortwave radiation biases in a nudged climate model simulation: does the model ever get it right? |
title_sort |
southern ocean cloud and shortwave radiation biases in a nudged climate model simulation: does the model ever get it right? |
publishDate |
2022 |
url |
https://doi.org/10.5194/acp-2022-259 https://acp.copernicus.org/preprints/acp-2022-259/ |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
eISSN: 1680-7324 |
op_relation |
doi:10.5194/acp-2022-259 https://acp.copernicus.org/preprints/acp-2022-259/ |
op_doi |
https://doi.org/10.5194/acp-2022-259 |
_version_ |
1766205616943005696 |