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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Published in:Atmospheric Chemistry and Physics
Main Authors: Frostenberg, Hannah, Welti, André, Luhr, Mikael, Savre, Julien, Thomson, Erik S, Ickes, Luisa
Language:unknown
Published: 2023
Subjects:
Online Access:https://doi.org/10.5194/acp-23-10883-2023
https://research.chalmers.se/en/publication/538621
id ftchalmersuniv:oai:research.chalmers.se:538621
record_format openpolar
spelling 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
institution Open Polar
collection Chalmers University of Technology: Chalmers research
op_collection_id ftchalmersuniv
language unknown
topic Meteorology and Atmospheric Sciences
spellingShingle 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
container_volume 23
container_issue 19
container_start_page 10883
op_container_end_page 10900
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