Modelling mixed-phase clouds with the large-eddy model UCLALES-SALSA
The large-eddy model UCLALES-SALSA, with an 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 implemente...
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COPERNICUS GESELLSCHAFT MBH
2022
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ftunivturku:oai:www.utupub.fi:10024/165841 2023-05-15T15:01:25+02:00 Modelling mixed-phase clouds with the large-eddy model UCLALES-SALSA Romakkaniemi S Korhonen H Kokkola H Tonttila J Raatikainen T Ahola J sovellettu matematiikka, Applied Mathematics 2606102 2022-10-28T13:32:06Z 11639 11654 https://www.utupub.fi/handle/10024/165841 en eng COPERNICUS GESELLSCHAFT MBH Germany Saksa DE 20 10.5194/acp-20-11639-2020 Atmospheric Chemistry and Physics 19 https://www.utupub.fi/handle/10024/165841 URN:NBN:fi-fe2021042827540 1680-7324 1680-7316 2022 ftunivturku 2022-11-03T00:01:22Z The large-eddy model UCLALES-SALSA, with an 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. A further simulation with a heterogeneous ice nucleation scheme, in which ice-nucleating particles (INPs) are also 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 a 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. Other/Unknown Material Arctic University of Turku: UTUPub Arctic |
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Open Polar |
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University of Turku: UTUPub |
op_collection_id |
ftunivturku |
language |
English |
description |
The large-eddy model UCLALES-SALSA, with an 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. A further simulation with a heterogeneous ice nucleation scheme, in which ice-nucleating particles (INPs) are also 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 a 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. |
author2 |
sovellettu matematiikka, Applied Mathematics 2606102 |
author |
Romakkaniemi S Korhonen H Kokkola H Tonttila J Raatikainen T Ahola J |
spellingShingle |
Romakkaniemi S Korhonen H Kokkola H Tonttila J Raatikainen T Ahola J Modelling mixed-phase clouds with the large-eddy model UCLALES-SALSA |
author_facet |
Romakkaniemi S Korhonen H Kokkola H Tonttila J Raatikainen T Ahola J |
author_sort |
Romakkaniemi S |
title |
Modelling mixed-phase clouds with the large-eddy model UCLALES-SALSA |
title_short |
Modelling mixed-phase clouds with the large-eddy model UCLALES-SALSA |
title_full |
Modelling mixed-phase clouds with the large-eddy model UCLALES-SALSA |
title_fullStr |
Modelling mixed-phase clouds with the large-eddy model UCLALES-SALSA |
title_full_unstemmed |
Modelling mixed-phase clouds with the large-eddy model UCLALES-SALSA |
title_sort |
modelling mixed-phase clouds with the large-eddy model uclales-salsa |
publisher |
COPERNICUS GESELLSCHAFT MBH |
publishDate |
2022 |
url |
https://www.utupub.fi/handle/10024/165841 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
20 10.5194/acp-20-11639-2020 Atmospheric Chemistry and Physics 19 https://www.utupub.fi/handle/10024/165841 URN:NBN:fi-fe2021042827540 1680-7324 1680-7316 |
_version_ |
1766333440038273024 |