Model output from "The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations"
Model output from "The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations", accepted for publication in Atmospheric Chemistry and Physics, 2023, same authors. The simulations were done u...
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ftzenodo:oai:zenodo.org:7572148 2023-10-25T01:35:41+02:00 Model output from "The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations" Frostenberg, Hannah C. Welti, André Luhr, Mikael Savre, Julien Thomson, Erik S. Ickes, Luisa 2023-08-24 https://zenodo.org/record/7572148 https://doi.org/10.5281/zenodo.7572148 unknown doi:10.5281/zenodo.7572147 https://zenodo.org/record/7572148 https://doi.org/10.5281/zenodo.7572148 oai:zenodo.org:7572148 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode ice nucleation parameterization mixed-phase cloud large eddy simulation Arctic info:eu-repo/semantics/other dataset 2023 ftzenodo https://doi.org/10.5281/zenodo.757214810.5281/zenodo.7572147 2023-09-26T23:01:43Z Model output from "The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations", accepted for publication in Atmospheric Chemistry and Physics, 2023, same authors. The simulations were done using MIMICA version4 (Savre at el., 2014) and the data includes all model output presented in the publication. One file per model run, with all relevant variables respectively. F23-repr and STD-repr are the representative runs for these model setups. F23-1,2,… and STD-1,2,… are the other ensemble member runs for the F23 and STD setup. All other runs have the same name as in the publication. Note that variables with their name ending on "_all_t" are spatially averaged profiles for all time steps (it means that the same run also has the time-averaged profile of the same variable). Dataset Arctic Zenodo Arctic |
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Zenodo |
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ice nucleation parameterization mixed-phase cloud large eddy simulation Arctic |
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ice nucleation parameterization mixed-phase cloud large eddy simulation Arctic Frostenberg, Hannah C. Welti, André Luhr, Mikael Savre, Julien Thomson, Erik S. Ickes, Luisa Model output from "The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations" |
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ice nucleation parameterization mixed-phase cloud large eddy simulation Arctic |
description |
Model output from "The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations", accepted for publication in Atmospheric Chemistry and Physics, 2023, same authors. The simulations were done using MIMICA version4 (Savre at el., 2014) and the data includes all model output presented in the publication. One file per model run, with all relevant variables respectively. F23-repr and STD-repr are the representative runs for these model setups. F23-1,2,… and STD-1,2,… are the other ensemble member runs for the F23 and STD setup. All other runs have the same name as in the publication. Note that variables with their name ending on "_all_t" are spatially averaged profiles for all time steps (it means that the same run also has the time-averaged profile of the same variable). |
format |
Dataset |
author |
Frostenberg, Hannah C. Welti, André Luhr, Mikael Savre, Julien Thomson, Erik S. Ickes, Luisa |
author_facet |
Frostenberg, Hannah C. Welti, André Luhr, Mikael Savre, Julien Thomson, Erik S. Ickes, Luisa |
author_sort |
Frostenberg, Hannah C. |
title |
Model output from "The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations" |
title_short |
Model output from "The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations" |
title_full |
Model output from "The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations" |
title_fullStr |
Model output from "The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations" |
title_full_unstemmed |
Model output from "The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations" |
title_sort |
model output from "the chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations" |
publishDate |
2023 |
url |
https://zenodo.org/record/7572148 https://doi.org/10.5281/zenodo.7572148 |
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Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
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Arctic |
op_relation |
doi:10.5281/zenodo.7572147 https://zenodo.org/record/7572148 https://doi.org/10.5281/zenodo.7572148 oai:zenodo.org:7572148 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.757214810.5281/zenodo.7572147 |
_version_ |
1780730744408113152 |