Using Satellite Observations to Evaluate Model Microphysical Representation of Arctic Mixed‐Phase Clouds
Mixed‐phase clouds play an important role in determining Arctic warming, but are parametrized in models and difficult to constrain with observations. We use two satellite‐derived cloud phase metrics to investigate the vertical structure of Arctic clouds in two global climate models that use the Comm...
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Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285086/ http://www.ncbi.nlm.nih.gov/pubmed/35845251 https://doi.org/10.1029/2021GL096191 |
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ftpubmed:oai:pubmedcentral.nih.gov:9285086 2023-05-15T14:35:59+02:00 Using Satellite Observations to Evaluate Model Microphysical Representation of Arctic Mixed‐Phase Clouds Shaw, J. McGraw, Z. Bruno, O. Storelvmo, T. Hofer, S. 2022-01-27 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285086/ http://www.ncbi.nlm.nih.gov/pubmed/35845251 https://doi.org/10.1029/2021GL096191 en eng John Wiley and Sons Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285086/ http://www.ncbi.nlm.nih.gov/pubmed/35845251 http://dx.doi.org/10.1029/2021GL096191 © 2022. The Authors. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. CC-BY-NC-ND Geophys Res Lett Research Letter Text 2022 ftpubmed https://doi.org/10.1029/2021GL096191 2022-07-31T01:39:46Z Mixed‐phase clouds play an important role in determining Arctic warming, but are parametrized in models and difficult to constrain with observations. We use two satellite‐derived cloud phase metrics to investigate the vertical structure of Arctic clouds in two global climate models that use the Community Atmosphere Model version 6 (CAM6) atmospheric component. We report a model error limiting ice nucleation, produce a set of Arctic‐constrained model runs by adjusting model microphysical variables to match the cloud phase metrics, and evaluate cloud feedbacks for all simulations. Models in this small ensemble uniformly overestimate total cloud fraction in the summer, but have variable representation of cloud fraction and phase in the winter and spring. By relating modeled cloud phase metrics and changes in low‐level liquid cloud amount under warming to longwave cloud feedback, we show that mixed‐phase processes mediate the Arctic climate by modifying how wintertime and springtime clouds respond to warming. Text Arctic PubMed Central (PMC) Arctic Geophysical Research Letters 49 3 |
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English |
topic |
Research Letter |
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Research Letter Shaw, J. McGraw, Z. Bruno, O. Storelvmo, T. Hofer, S. Using Satellite Observations to Evaluate Model Microphysical Representation of Arctic Mixed‐Phase Clouds |
topic_facet |
Research Letter |
description |
Mixed‐phase clouds play an important role in determining Arctic warming, but are parametrized in models and difficult to constrain with observations. We use two satellite‐derived cloud phase metrics to investigate the vertical structure of Arctic clouds in two global climate models that use the Community Atmosphere Model version 6 (CAM6) atmospheric component. We report a model error limiting ice nucleation, produce a set of Arctic‐constrained model runs by adjusting model microphysical variables to match the cloud phase metrics, and evaluate cloud feedbacks for all simulations. Models in this small ensemble uniformly overestimate total cloud fraction in the summer, but have variable representation of cloud fraction and phase in the winter and spring. By relating modeled cloud phase metrics and changes in low‐level liquid cloud amount under warming to longwave cloud feedback, we show that mixed‐phase processes mediate the Arctic climate by modifying how wintertime and springtime clouds respond to warming. |
format |
Text |
author |
Shaw, J. McGraw, Z. Bruno, O. Storelvmo, T. Hofer, S. |
author_facet |
Shaw, J. McGraw, Z. Bruno, O. Storelvmo, T. Hofer, S. |
author_sort |
Shaw, J. |
title |
Using Satellite Observations to Evaluate Model Microphysical Representation of Arctic Mixed‐Phase Clouds |
title_short |
Using Satellite Observations to Evaluate Model Microphysical Representation of Arctic Mixed‐Phase Clouds |
title_full |
Using Satellite Observations to Evaluate Model Microphysical Representation of Arctic Mixed‐Phase Clouds |
title_fullStr |
Using Satellite Observations to Evaluate Model Microphysical Representation of Arctic Mixed‐Phase Clouds |
title_full_unstemmed |
Using Satellite Observations to Evaluate Model Microphysical Representation of Arctic Mixed‐Phase Clouds |
title_sort |
using satellite observations to evaluate model microphysical representation of arctic mixed‐phase clouds |
publisher |
John Wiley and Sons Inc. |
publishDate |
2022 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285086/ http://www.ncbi.nlm.nih.gov/pubmed/35845251 https://doi.org/10.1029/2021GL096191 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Geophys Res Lett |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285086/ http://www.ncbi.nlm.nih.gov/pubmed/35845251 http://dx.doi.org/10.1029/2021GL096191 |
op_rights |
© 2022. The Authors. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.1029/2021GL096191 |
container_title |
Geophysical Research Letters |
container_volume |
49 |
container_issue |
3 |
_version_ |
1766308704704004096 |