The chance of freezing - a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations
Ice-nucleating particle concentrations (INPCs) can spread over several orders of magnitude at any given temperature. However, this variability is rarely accounted for in heterogeneous ice-nucleation parameterizations. In this paper, we present an approach to incorporate the random variation in the I...
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ftchalmersuniv:oai:research.chalmers.se:538621 2024-01-07T09:41:47+01:00 The chance of freezing - a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations Frostenberg, Hannah Welti, André Luhr, Mikael Savre, Julien Thomson, Erik S Ickes, Luisa 2023 text https://doi.org/10.5194/acp-23-10883-2023 https://research.chalmers.se/en/publication/538621 unknown http://dx.doi.org/10.5194/acp-23-10883-2023 https://research.chalmers.se/en/publication/538621 Meteorology and Atmospheric Sciences 2023 ftchalmersuniv https://doi.org/10.5194/acp-23-10883-2023 2023-12-13T23:36:43Z Ice-nucleating particle concentrations (INPCs) can spread over several orders of magnitude at any given temperature. However, this variability is rarely accounted for in heterogeneous ice-nucleation parameterizations. In this paper, we present an approach to incorporate the random variation in the INPC into the parameterization of immersion freezing and analyze this novel concept with various sensitivity tests. In the new scheme, the INPC is drawn from a relative frequency distribution of cumulative INPCs. At each temperature, this distribution describing the INPCs is expressed as a lognormal frequency distribution. The new parameterization scheme does not require aerosol information from the driving model to represent the heterogeneity of INPCs. The scheme's performance is tested in a large-eddy simulation of a relatively warm Arctic mixed-phase stratocumulus. We find that it leads to reasonable ice masses in the cloud, especially when compared to immersion freezing schemes that yield one fixed INPC per temperature and lead to almost no ice production in the simulated cloud. The scheme is sensitive to the median of the frequency distribution and highly sensitive to the standard deviation of the distribution, as well as to the frequency of drawing a new INPC and the resolution of the model. Generally, a higher probability of drawing large INPCs leads to substantially more ice in the simulated cloud. We expose inherent challenges to introducing such a parameterization and explore possible solutions and potential developments. Copyright: Other/Unknown Material Arctic Chalmers University of Technology: Chalmers research Arctic Atmospheric Chemistry and Physics 23 19 10883 10900 |
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Open Polar |
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Chalmers University of Technology: Chalmers research |
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ftchalmersuniv |
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Meteorology and Atmospheric Sciences |
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Meteorology and Atmospheric Sciences Frostenberg, Hannah Welti, André Luhr, Mikael Savre, Julien Thomson, Erik S Ickes, Luisa The chance of freezing - a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations |
topic_facet |
Meteorology and Atmospheric Sciences |
description |
Ice-nucleating particle concentrations (INPCs) can spread over several orders of magnitude at any given temperature. However, this variability is rarely accounted for in heterogeneous ice-nucleation parameterizations. In this paper, we present an approach to incorporate the random variation in the INPC into the parameterization of immersion freezing and analyze this novel concept with various sensitivity tests. In the new scheme, the INPC is drawn from a relative frequency distribution of cumulative INPCs. At each temperature, this distribution describing the INPCs is expressed as a lognormal frequency distribution. The new parameterization scheme does not require aerosol information from the driving model to represent the heterogeneity of INPCs. The scheme's performance is tested in a large-eddy simulation of a relatively warm Arctic mixed-phase stratocumulus. We find that it leads to reasonable ice masses in the cloud, especially when compared to immersion freezing schemes that yield one fixed INPC per temperature and lead to almost no ice production in the simulated cloud. The scheme is sensitive to the median of the frequency distribution and highly sensitive to the standard deviation of the distribution, as well as to the frequency of drawing a new INPC and the resolution of the model. Generally, a higher probability of drawing large INPCs leads to substantially more ice in the simulated cloud. We expose inherent challenges to introducing such a parameterization and explore possible solutions and potential developments. Copyright: |
author |
Frostenberg, Hannah Welti, André Luhr, Mikael Savre, Julien Thomson, Erik S Ickes, Luisa |
author_facet |
Frostenberg, Hannah Welti, André Luhr, Mikael Savre, Julien Thomson, Erik S Ickes, Luisa |
author_sort |
Frostenberg, Hannah |
title |
The chance of freezing - a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations |
title_short |
The chance of freezing - a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations |
title_full |
The chance of freezing - a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations |
title_fullStr |
The chance of freezing - a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations |
title_full_unstemmed |
The chance of freezing - a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations |
title_sort |
chance of freezing - a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations |
publishDate |
2023 |
url |
https://doi.org/10.5194/acp-23-10883-2023 https://research.chalmers.se/en/publication/538621 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
http://dx.doi.org/10.5194/acp-23-10883-2023 https://research.chalmers.se/en/publication/538621 |
op_doi |
https://doi.org/10.5194/acp-23-10883-2023 |
container_title |
Atmospheric Chemistry and Physics |
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23 |
container_issue |
19 |
container_start_page |
10883 |
op_container_end_page |
10900 |
_version_ |
1787422588438315008 |