Evaluation of Southern Ocean cloud in the HadGEM3 general circulation model and MERRA-2 reanalysis using ship-based observations

Southern Ocean (SO) shortwave (SW) radiation biases are a common problem in contemporary general circulation models (GCMs), with most models exhibiting a tendency to absorb too much incoming SW radiation. These biases have been attributed to deficiencies in the representation of clouds during the au...

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Main Authors: Kuma, Peter, McDonald, Adrian J., Morgenstern, Olaf, Alexander, Simon P., Cassano, John J., Garrett, Sally, Halla, Jamie, Hartery, Sean, Harvey, Mike J., Parsons, Simon, Plank, Graeme, Varma, Vidya, Williams, Jonny
Format: Article in Journal/Newspaper
Language:English
Published: Zenodo 2020
Subjects:
Online Access:https://doi.org/10.5281/zenodo.3774659
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spelling ftzenodo:oai:zenodo.org:3774659 2024-09-15T18:32:31+00:00 Evaluation of Southern Ocean cloud in the HadGEM3 general circulation model and MERRA-2 reanalysis using ship-based observations Kuma, Peter McDonald, Adrian J. Morgenstern, Olaf Alexander, Simon P. Cassano, John J. Garrett, Sally Halla, Jamie Hartery, Sean Harvey, Mike J. Parsons, Simon Plank, Graeme Varma, Vidya Williams, Jonny 2020-04-29 https://doi.org/10.5281/zenodo.3774659 eng eng Zenodo https://doi.org/10.5194/acp-2019-201 https://doi.org/10.5281/zenodo.3774658 https://doi.org/10.5281/zenodo.3774659 oai:zenodo.org:3774659 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Atmospheric Chemistry and Physics (accepted), (2020-04-29) info:eu-repo/semantics/article 2020 ftzenodo https://doi.org/10.5281/zenodo.377465910.5194/acp-2019-20110.5281/zenodo.3774658 2024-07-26T12:58:45Z Southern Ocean (SO) shortwave (SW) radiation biases are a common problem in contemporary general circulation models (GCMs), with most models exhibiting a tendency to absorb too much incoming SW radiation. These biases have been attributed to deficiencies in the representation of clouds during the austral summer months, either due to cloud cover or cloud albedo being too low. The problem has been the focus of many studies, most of which utilised satellite datasets for model evaluation. We use multi-year ship based observations and the CERES spaceborne radiation budget measurements to contrast cloud representation and SW radiation in the atmospheric component Global Atmosphere (GA) version 7.1 of the HadGEM3 GCM and the MERRA-2 reanalysis. We find that the prevailing bias is negative in GA7.1 and positive in MERRA-2. GA7.1 performs better than MERRA-2 in terms of absolute SW bias. Significant errors of up to 21 Wm −2 (GA7.1) and 39 Wm −2 (MERRA-2) are present in both models in the austral summer. Using ship-based ceilometer observations, we find low cloud below 2 km to be predominant in the Ross Sea and the Indian Ocean sectors of the SO. Utilising a novel surface lidar simulator developed for this study, derived from an existing COSP-ACTSIM spaceborne lidar simulator, we find that GA7.1 and MERRA-2 both underestimate low cloud and fog occurrence relative to the ship observations on average by 4–9% (GA7.1) and 18% (MERRA-2). Based on radiosonde observations, we also find the low cloud to be strongly linked to boundary-layer atmospheric stability and the sea surface temperature. GA7.1 and MERRA-2 do not represent the observed relationship between boundary layer stability and clouds well. We find that MERRA-2 has a much greater proportion of cloud liquid water in the SO in austral summer than GA7.1, a likely key contributor to the difference in the SW radiation bias. Our results suggest that subgrid-scale processes (cloud and boundary layer parametrisations) are responsible for the bias, and that in GA7.1 a major ... Article in Journal/Newspaper Ross Sea Southern Ocean Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
description Southern Ocean (SO) shortwave (SW) radiation biases are a common problem in contemporary general circulation models (GCMs), with most models exhibiting a tendency to absorb too much incoming SW radiation. These biases have been attributed to deficiencies in the representation of clouds during the austral summer months, either due to cloud cover or cloud albedo being too low. The problem has been the focus of many studies, most of which utilised satellite datasets for model evaluation. We use multi-year ship based observations and the CERES spaceborne radiation budget measurements to contrast cloud representation and SW radiation in the atmospheric component Global Atmosphere (GA) version 7.1 of the HadGEM3 GCM and the MERRA-2 reanalysis. We find that the prevailing bias is negative in GA7.1 and positive in MERRA-2. GA7.1 performs better than MERRA-2 in terms of absolute SW bias. Significant errors of up to 21 Wm −2 (GA7.1) and 39 Wm −2 (MERRA-2) are present in both models in the austral summer. Using ship-based ceilometer observations, we find low cloud below 2 km to be predominant in the Ross Sea and the Indian Ocean sectors of the SO. Utilising a novel surface lidar simulator developed for this study, derived from an existing COSP-ACTSIM spaceborne lidar simulator, we find that GA7.1 and MERRA-2 both underestimate low cloud and fog occurrence relative to the ship observations on average by 4–9% (GA7.1) and 18% (MERRA-2). Based on radiosonde observations, we also find the low cloud to be strongly linked to boundary-layer atmospheric stability and the sea surface temperature. GA7.1 and MERRA-2 do not represent the observed relationship between boundary layer stability and clouds well. We find that MERRA-2 has a much greater proportion of cloud liquid water in the SO in austral summer than GA7.1, a likely key contributor to the difference in the SW radiation bias. Our results suggest that subgrid-scale processes (cloud and boundary layer parametrisations) are responsible for the bias, and that in GA7.1 a major ...
format Article in Journal/Newspaper
author Kuma, Peter
McDonald, Adrian J.
Morgenstern, Olaf
Alexander, Simon P.
Cassano, John J.
Garrett, Sally
Halla, Jamie
Hartery, Sean
Harvey, Mike J.
Parsons, Simon
Plank, Graeme
Varma, Vidya
Williams, Jonny
spellingShingle Kuma, Peter
McDonald, Adrian J.
Morgenstern, Olaf
Alexander, Simon P.
Cassano, John J.
Garrett, Sally
Halla, Jamie
Hartery, Sean
Harvey, Mike J.
Parsons, Simon
Plank, Graeme
Varma, Vidya
Williams, Jonny
Evaluation of Southern Ocean cloud in the HadGEM3 general circulation model and MERRA-2 reanalysis using ship-based observations
author_facet Kuma, Peter
McDonald, Adrian J.
Morgenstern, Olaf
Alexander, Simon P.
Cassano, John J.
Garrett, Sally
Halla, Jamie
Hartery, Sean
Harvey, Mike J.
Parsons, Simon
Plank, Graeme
Varma, Vidya
Williams, Jonny
author_sort Kuma, Peter
title Evaluation of Southern Ocean cloud in the HadGEM3 general circulation model and MERRA-2 reanalysis using ship-based observations
title_short Evaluation of Southern Ocean cloud in the HadGEM3 general circulation model and MERRA-2 reanalysis using ship-based observations
title_full Evaluation of Southern Ocean cloud in the HadGEM3 general circulation model and MERRA-2 reanalysis using ship-based observations
title_fullStr Evaluation of Southern Ocean cloud in the HadGEM3 general circulation model and MERRA-2 reanalysis using ship-based observations
title_full_unstemmed Evaluation of Southern Ocean cloud in the HadGEM3 general circulation model and MERRA-2 reanalysis using ship-based observations
title_sort evaluation of southern ocean cloud in the hadgem3 general circulation model and merra-2 reanalysis using ship-based observations
publisher Zenodo
publishDate 2020
url https://doi.org/10.5281/zenodo.3774659
genre Ross Sea
Southern Ocean
genre_facet Ross Sea
Southern Ocean
op_source Atmospheric Chemistry and Physics (accepted), (2020-04-29)
op_relation https://doi.org/10.5194/acp-2019-201
https://doi.org/10.5281/zenodo.3774658
https://doi.org/10.5281/zenodo.3774659
oai:zenodo.org:3774659
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.377465910.5194/acp-2019-20110.5281/zenodo.3774658
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