Modelling mixed-phase clouds with large-eddy model UCLALES-SALSA
The large-eddy model UCLALES-SALSA, with exceptionally detailed aerosol description for both aerosol number and chemical composition, has been extended for ice and mixed-phase clouds. Comparison to a previous mixed-phase cloud model intercomparison study confirmed the accuracy of newly implemented i...
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ftcopernicus:oai:publications.copernicus.org:acpd82523 2023-05-15T15:01:17+02:00 Modelling mixed-phase clouds with large-eddy model UCLALES-SALSA Ahola, Jaakko Korhonen, Hannele Tonttila, Juha Romakkaniemi, Sami Kokkola, Harri Raatikainen, Tomi 2020-01-28 application/pdf https://doi.org/10.5194/acp-2019-1182 https://www.atmos-chem-phys-discuss.net/acp-2019-1182/ eng eng doi:10.5194/acp-2019-1182 https://www.atmos-chem-phys-discuss.net/acp-2019-1182/ eISSN: 1680-7324 Text 2020 ftcopernicus https://doi.org/10.5194/acp-2019-1182 2020-02-03T15:42:01Z The large-eddy model UCLALES-SALSA, with exceptionally detailed aerosol description for both aerosol number and chemical composition, has been extended for ice and mixed-phase clouds. Comparison to a previous mixed-phase cloud model intercomparison study confirmed the accuracy of newly implemented ice microphysics. Further simulation with a heterogeneous ice nucleation scheme, where also ice nucleating particles (INP) are a prognostic variable, captured the typical layered structure of Arctic mid-altitude mixed-phase cloud: a liquid layer near cloud top and ice within and below the liquid layer. In addition, the simulation showed realistic freezing rate of droplets within the vertical cloud structure. The represented detailed sectional ice microphysics with prognostic aerosols is crucially important in reproducing mixed-phase clouds. Text Arctic Copernicus Publications: E-Journals Arctic |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
language |
English |
description |
The large-eddy model UCLALES-SALSA, with exceptionally detailed aerosol description for both aerosol number and chemical composition, has been extended for ice and mixed-phase clouds. Comparison to a previous mixed-phase cloud model intercomparison study confirmed the accuracy of newly implemented ice microphysics. Further simulation with a heterogeneous ice nucleation scheme, where also ice nucleating particles (INP) are a prognostic variable, captured the typical layered structure of Arctic mid-altitude mixed-phase cloud: a liquid layer near cloud top and ice within and below the liquid layer. In addition, the simulation showed realistic freezing rate of droplets within the vertical cloud structure. The represented detailed sectional ice microphysics with prognostic aerosols is crucially important in reproducing mixed-phase clouds. |
format |
Text |
author |
Ahola, Jaakko Korhonen, Hannele Tonttila, Juha Romakkaniemi, Sami Kokkola, Harri Raatikainen, Tomi |
spellingShingle |
Ahola, Jaakko Korhonen, Hannele Tonttila, Juha Romakkaniemi, Sami Kokkola, Harri Raatikainen, Tomi Modelling mixed-phase clouds with large-eddy model UCLALES-SALSA |
author_facet |
Ahola, Jaakko Korhonen, Hannele Tonttila, Juha Romakkaniemi, Sami Kokkola, Harri Raatikainen, Tomi |
author_sort |
Ahola, Jaakko |
title |
Modelling mixed-phase clouds with large-eddy model UCLALES-SALSA |
title_short |
Modelling mixed-phase clouds with large-eddy model UCLALES-SALSA |
title_full |
Modelling mixed-phase clouds with large-eddy model UCLALES-SALSA |
title_fullStr |
Modelling mixed-phase clouds with large-eddy model UCLALES-SALSA |
title_full_unstemmed |
Modelling mixed-phase clouds with large-eddy model UCLALES-SALSA |
title_sort |
modelling mixed-phase clouds with large-eddy model uclales-salsa |
publishDate |
2020 |
url |
https://doi.org/10.5194/acp-2019-1182 https://www.atmos-chem-phys-discuss.net/acp-2019-1182/ |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
eISSN: 1680-7324 |
op_relation |
doi:10.5194/acp-2019-1182 https://www.atmos-chem-phys-discuss.net/acp-2019-1182/ |
op_doi |
https://doi.org/10.5194/acp-2019-1182 |
_version_ |
1766333307122876416 |