Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model

Aerosol particles influence cloud formation and properties. Hence climate models that aim for a physical representation of the climate system include aerosol modules. In order to represent more and more processes and aerosol species, their representation has grown increasingly detailed. However, dep...

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Main Authors: Proske, Ulrike, Ferrachat, Sylvaine, Lohmann, Ulrike
Format: Text
Language:English
Published: 2024
Subjects:
Online Access:https://doi.org/10.5194/egusphere-2023-2783
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2783/
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spelling ftcopernicus:oai:publications.copernicus.org:egusphere116157 2024-06-23T07:56:56+00:00 Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model Proske, Ulrike Ferrachat, Sylvaine Lohmann, Ulrike 2024-05-23 application/pdf https://doi.org/10.5194/egusphere-2023-2783 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2783/ eng eng doi:10.5194/egusphere-2023-2783 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2783/ eISSN: Text 2024 ftcopernicus https://doi.org/10.5194/egusphere-2023-2783 2024-06-13T01:23:50Z Aerosol particles influence cloud formation and properties. Hence climate models that aim for a physical representation of the climate system include aerosol modules. In order to represent more and more processes and aerosol species, their representation has grown increasingly detailed. However, depending on one's modelling purpose, the increased model complexity may not be beneficial, for example because it hinders understanding of model behaviour. Hence we develop a simplification in the form of a climatology of aerosol concentrations. In one approach, the climatology prescribes properties important for cloud droplet and ice crystal formation, the gateways for aerosols to enter the model cloud microphysics scheme. Another approach prescribes aerosol mass and number concentrations in general. Both climatologies are derived from full ECHAM-HAM simulations and can serve to replace the HAM aerosol module and thus drastically simplify the aerosol treatment. The first simplification reduces computational model time by roughly 65 %. However, the naive mean climatological treatment needs improvement to give results that are satisfyingly close to the full model. We find that mean cloud condensation nuclei (CCN) concentrations yield an underestimation of cloud droplet number concentration (CDNC) in the Southern Ocean, which we can reduce by allowing only CCN at cloud base (which have experienced hygroscopic growth in these conditions) to enter the climatology. This highlights the value of the simplification approach in pointing to unexpected model behaviour and providing a new perspective for its study and model development. Text Southern Ocean Copernicus Publications: E-Journals Southern Ocean
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Aerosol particles influence cloud formation and properties. Hence climate models that aim for a physical representation of the climate system include aerosol modules. In order to represent more and more processes and aerosol species, their representation has grown increasingly detailed. However, depending on one's modelling purpose, the increased model complexity may not be beneficial, for example because it hinders understanding of model behaviour. Hence we develop a simplification in the form of a climatology of aerosol concentrations. In one approach, the climatology prescribes properties important for cloud droplet and ice crystal formation, the gateways for aerosols to enter the model cloud microphysics scheme. Another approach prescribes aerosol mass and number concentrations in general. Both climatologies are derived from full ECHAM-HAM simulations and can serve to replace the HAM aerosol module and thus drastically simplify the aerosol treatment. The first simplification reduces computational model time by roughly 65 %. However, the naive mean climatological treatment needs improvement to give results that are satisfyingly close to the full model. We find that mean cloud condensation nuclei (CCN) concentrations yield an underestimation of cloud droplet number concentration (CDNC) in the Southern Ocean, which we can reduce by allowing only CCN at cloud base (which have experienced hygroscopic growth in these conditions) to enter the climatology. This highlights the value of the simplification approach in pointing to unexpected model behaviour and providing a new perspective for its study and model development.
format Text
author Proske, Ulrike
Ferrachat, Sylvaine
Lohmann, Ulrike
spellingShingle Proske, Ulrike
Ferrachat, Sylvaine
Lohmann, Ulrike
Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model
author_facet Proske, Ulrike
Ferrachat, Sylvaine
Lohmann, Ulrike
author_sort Proske, Ulrike
title Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model
title_short Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model
title_full Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model
title_fullStr Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model
title_full_unstemmed Developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model
title_sort developing a climatological simplification of aerosols to enter the cloud microphysics of a global climate model
publishDate 2024
url https://doi.org/10.5194/egusphere-2023-2783
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2783/
geographic Southern Ocean
geographic_facet Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_source eISSN:
op_relation doi:10.5194/egusphere-2023-2783
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-2783/
op_doi https://doi.org/10.5194/egusphere-2023-2783
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