Combined Impacts of Temperature, Sea Ice Coverage, and Mixing Ratios of Sea Spray and Dust on Cloud Phase Over the Arctic and Southern Oceans ...
We analyze the importance of cloud top temperature, dust aerosol, sea salt aerosol, and sea ice cover for the thermodynamic phase of low-level, mid-level, and mid to low-level clouds observed by CloudSat/CALIPSO over the Arctic and the Southern Ocean using an explainable machine learning technique....
Main Authors: | , , , , |
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Format: | Text |
Language: | English |
Published: |
John Wiley and Sons
2024
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Subjects: | |
Online Access: | https://dx.doi.org/10.5445/ir/1000176461 https://publikationen.bibliothek.kit.edu/1000176461 |
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author | Dietel, Barbara Andersen, Hendrik Cermak, Jan Stier, Philip Hoose, Corinna |
author_facet | Dietel, Barbara Andersen, Hendrik Cermak, Jan Stier, Philip Hoose, Corinna |
author_sort | Dietel, Barbara |
collection | DataCite |
description | We analyze the importance of cloud top temperature, dust aerosol, sea salt aerosol, and sea ice cover for the thermodynamic phase of low-level, mid-level, and mid to low-level clouds observed by CloudSat/CALIPSO over the Arctic and the Southern Ocean using an explainable machine learning technique. As expected, the cloud top temperature is found to be the most important parameter for determining cloud phase. The results show also a predictive power of sea salt and sea ice on the phase of low-level clouds, while in mid-level clouds dust shows predictive power. Over the Southern Ocean, strong zonal winds coincide with the aerosol distribution. While they can produce high mixing ratios of sea spray at lower levels, the strong zonal winds may prevent the pole-ward transport of dust. Sea ice may prevent the release of sea salt aerosols and marine organic aerosols leading to higher liquid fractions in clouds over sea ice. ... |
format | Text |
genre | Arctic Sea ice Southern Ocean |
genre_facet | Arctic Sea ice Southern Ocean |
geographic | Arctic Southern Ocean |
geographic_facet | Arctic Southern Ocean |
id | ftdatacite:10.5445/ir/1000176461 |
institution | Open Polar |
language | English |
op_collection_id | ftdatacite |
op_doi | https://doi.org/10.5445/ir/1000176461 |
op_rights | Creative Commons Namensnennung 4.0 International Open Access info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/deed.de |
publishDate | 2024 |
publisher | John Wiley and Sons |
record_format | openpolar |
spelling | ftdatacite:10.5445/ir/1000176461 2025-01-16T20:27:14+00:00 Combined Impacts of Temperature, Sea Ice Coverage, and Mixing Ratios of Sea Spray and Dust on Cloud Phase Over the Arctic and Southern Oceans ... Dietel, Barbara Andersen, Hendrik Cermak, Jan Stier, Philip Hoose, Corinna 2024 https://dx.doi.org/10.5445/ir/1000176461 https://publikationen.bibliothek.kit.edu/1000176461 en eng John Wiley and Sons Creative Commons Namensnennung 4.0 International Open Access info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/deed.de mixed-phase clouds cloud phase explainable machine learning DARDAR polar clouds article-journal ScholarlyArticle Text Journal Article 2024 ftdatacite https://doi.org/10.5445/ir/1000176461 2024-12-02T18:34:53Z We analyze the importance of cloud top temperature, dust aerosol, sea salt aerosol, and sea ice cover for the thermodynamic phase of low-level, mid-level, and mid to low-level clouds observed by CloudSat/CALIPSO over the Arctic and the Southern Ocean using an explainable machine learning technique. As expected, the cloud top temperature is found to be the most important parameter for determining cloud phase. The results show also a predictive power of sea salt and sea ice on the phase of low-level clouds, while in mid-level clouds dust shows predictive power. Over the Southern Ocean, strong zonal winds coincide with the aerosol distribution. While they can produce high mixing ratios of sea spray at lower levels, the strong zonal winds may prevent the pole-ward transport of dust. Sea ice may prevent the release of sea salt aerosols and marine organic aerosols leading to higher liquid fractions in clouds over sea ice. ... Text Arctic Sea ice Southern Ocean DataCite Arctic Southern Ocean |
spellingShingle | mixed-phase clouds cloud phase explainable machine learning DARDAR polar clouds Dietel, Barbara Andersen, Hendrik Cermak, Jan Stier, Philip Hoose, Corinna Combined Impacts of Temperature, Sea Ice Coverage, and Mixing Ratios of Sea Spray and Dust on Cloud Phase Over the Arctic and Southern Oceans ... |
title | Combined Impacts of Temperature, Sea Ice Coverage, and Mixing Ratios of Sea Spray and Dust on Cloud Phase Over the Arctic and Southern Oceans ... |
title_full | Combined Impacts of Temperature, Sea Ice Coverage, and Mixing Ratios of Sea Spray and Dust on Cloud Phase Over the Arctic and Southern Oceans ... |
title_fullStr | Combined Impacts of Temperature, Sea Ice Coverage, and Mixing Ratios of Sea Spray and Dust on Cloud Phase Over the Arctic and Southern Oceans ... |
title_full_unstemmed | Combined Impacts of Temperature, Sea Ice Coverage, and Mixing Ratios of Sea Spray and Dust on Cloud Phase Over the Arctic and Southern Oceans ... |
title_short | Combined Impacts of Temperature, Sea Ice Coverage, and Mixing Ratios of Sea Spray and Dust on Cloud Phase Over the Arctic and Southern Oceans ... |
title_sort | combined impacts of temperature, sea ice coverage, and mixing ratios of sea spray and dust on cloud phase over the arctic and southern oceans ... |
topic | mixed-phase clouds cloud phase explainable machine learning DARDAR polar clouds |
topic_facet | mixed-phase clouds cloud phase explainable machine learning DARDAR polar clouds |
url | https://dx.doi.org/10.5445/ir/1000176461 https://publikationen.bibliothek.kit.edu/1000176461 |