Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model
As a long-standing problem in climate models, large positive shortwave radiation biases exist at the surface over the Southern Ocean, impacting the accurate simulation of sea surface temperature, atmospheric circulation, and precipitation. Underestimations of low-level cloud fraction and liquid wate...
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Online Access: | https://doi.org/10.5194/acp-23-14691-2023 https://acp.copernicus.org/articles/23/14691/2023/ |
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ftcopernicus:oai:publications.copernicus.org:acp109886 2024-09-15T18:18:15+00:00 Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model Pei, Zhangcheng Fiddes, Sonya L. French, W. John R. Alexander, Simon P. Mallet, Marc D. Kuma, Peter McDonald, Adrian 2023-11-29 application/pdf https://doi.org/10.5194/acp-23-14691-2023 https://acp.copernicus.org/articles/23/14691/2023/ eng eng doi:10.5194/acp-23-14691-2023 https://acp.copernicus.org/articles/23/14691/2023/ eISSN: 1680-7324 Text 2023 ftcopernicus https://doi.org/10.5194/acp-23-14691-2023 2024-08-28T05:24:15Z As a long-standing problem in climate models, large positive shortwave radiation biases exist at the surface over the Southern Ocean, impacting the accurate simulation of sea surface temperature, atmospheric circulation, and precipitation. Underestimations of low-level cloud fraction and liquid water content are suggested to predominantly contribute to these radiation biases. Most model evaluations for radiation focus on summer and rely on satellite products, which have their own limitations. In this work, we use surface-based observations at Macquarie Island to provide the first long-term, seasonal evaluation of both downwelling surface shortwave and longwave radiation in the Australian Community Climate and Earth System Simulator Atmosphere-only Model version 2 (ACCESS-AM2) over the Southern Ocean. The capacity of the Clouds and the Earth’s Radiant Energy System (CERES) product to simulate radiation is also investigated. We utilize the novel lidar simulator, the Automatic Lidar and Ceilometer Framework (ALCF), and all-sky cloud camera observations of cloud fraction to investigate how radiation biases are influenced by cloud properties. Overall, we find an overestimation of + 9.5 ± 33.5 <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="58pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="0adb11167a4b4eb853fdfbc6c50f311f"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-23-14691-2023-ie00001.svg" width="58pt" height="10pt" src="acp-23-14691-2023-ie00001.png"/> </svg:svg> W m −2 for downwelling surface shortwave radiation fluxes and an underestimation of - 2.3 ± 13.5 <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="58pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="c8eb1663afd2ed22a36e2c02777e79ec"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-23-14691-2023-ie00002.svg" width="58pt" height="10pt" src="acp-23-14691-2023-ie00002.png"/> </svg:svg> W m −2 for downwelling surface longwave radiation ... Text Macquarie Island Southern Ocean Copernicus Publications: E-Journals Atmospheric Chemistry and Physics 23 23 14691 14714 |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
language |
English |
description |
As a long-standing problem in climate models, large positive shortwave radiation biases exist at the surface over the Southern Ocean, impacting the accurate simulation of sea surface temperature, atmospheric circulation, and precipitation. Underestimations of low-level cloud fraction and liquid water content are suggested to predominantly contribute to these radiation biases. Most model evaluations for radiation focus on summer and rely on satellite products, which have their own limitations. In this work, we use surface-based observations at Macquarie Island to provide the first long-term, seasonal evaluation of both downwelling surface shortwave and longwave radiation in the Australian Community Climate and Earth System Simulator Atmosphere-only Model version 2 (ACCESS-AM2) over the Southern Ocean. The capacity of the Clouds and the Earth’s Radiant Energy System (CERES) product to simulate radiation is also investigated. We utilize the novel lidar simulator, the Automatic Lidar and Ceilometer Framework (ALCF), and all-sky cloud camera observations of cloud fraction to investigate how radiation biases are influenced by cloud properties. Overall, we find an overestimation of + 9.5 ± 33.5 <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="58pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="0adb11167a4b4eb853fdfbc6c50f311f"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-23-14691-2023-ie00001.svg" width="58pt" height="10pt" src="acp-23-14691-2023-ie00001.png"/> </svg:svg> W m −2 for downwelling surface shortwave radiation fluxes and an underestimation of - 2.3 ± 13.5 <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="58pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="c8eb1663afd2ed22a36e2c02777e79ec"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-23-14691-2023-ie00002.svg" width="58pt" height="10pt" src="acp-23-14691-2023-ie00002.png"/> </svg:svg> W m −2 for downwelling surface longwave radiation ... |
format |
Text |
author |
Pei, Zhangcheng Fiddes, Sonya L. French, W. John R. Alexander, Simon P. Mallet, Marc D. Kuma, Peter McDonald, Adrian |
spellingShingle |
Pei, Zhangcheng Fiddes, Sonya L. French, W. John R. Alexander, Simon P. Mallet, Marc D. Kuma, Peter McDonald, Adrian Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model |
author_facet |
Pei, Zhangcheng Fiddes, Sonya L. French, W. John R. Alexander, Simon P. Mallet, Marc D. Kuma, Peter McDonald, Adrian |
author_sort |
Pei, Zhangcheng |
title |
Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model |
title_short |
Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model |
title_full |
Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model |
title_fullStr |
Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model |
title_full_unstemmed |
Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model |
title_sort |
assessing the cloud radiative bias at macquarie island in the access-am2 model |
publishDate |
2023 |
url |
https://doi.org/10.5194/acp-23-14691-2023 https://acp.copernicus.org/articles/23/14691/2023/ |
genre |
Macquarie Island Southern Ocean |
genre_facet |
Macquarie Island Southern Ocean |
op_source |
eISSN: 1680-7324 |
op_relation |
doi:10.5194/acp-23-14691-2023 https://acp.copernicus.org/articles/23/14691/2023/ |
op_doi |
https://doi.org/10.5194/acp-23-14691-2023 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
23 |
container_issue |
23 |
container_start_page |
14691 |
op_container_end_page |
14714 |
_version_ |
1810456378843594752 |