Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM
The uncertainty in polar cloud feedbacks calls for process understanding of the cloud response to climate warming. As an initial step toward improved process understanding, we investigate the seasonal cycle of polar clouds in the current climate by adopting a novel modeling framework using large edd...
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ftcaltechauth:oai:authors.library.caltech.edu:pjjee-1w296 2024-10-20T14:07:24+00:00 Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM Zhang, Xiyue Schneider, Tapio Shen, Zhaoyi Pressel, Kyle G. Eisenman, Ian 2022-01 https://doi.org/10.1029/2021MS002671 unknown American Geophysical Union https://doi.org/10.1002/essoar.10503204.1 https://doi.org/10.5281/zenodo.5773236 https://doi.org/10.5281/zenodo.5773210 https://doi.org/10.22002/D1.1429 https://ceres.larc.nasa.gov/data/ https://doi.org/10.1029/2021MS002671 eprintid:106301 info:eu-repo/semantics/openAccess Other Journal of Advances in Modelling Earth Systems, 14(1), Art. No. e2021MS002671, (2022-01) cloud LES Arctic seasonal cycle mixed-phase cloud info:eu-repo/semantics/article 2022 ftcaltechauth https://doi.org/10.1029/2021MS00267110.1002/essoar.10503204.110.5281/zenodo.577323610.5281/zenodo.577321010.22002/D1.1429 2024-09-25T18:46:44Z The uncertainty in polar cloud feedbacks calls for process understanding of the cloud response to climate warming. As an initial step toward improved process understanding, we investigate the seasonal cycle of polar clouds in the current climate by adopting a novel modeling framework using large eddy simulations (LES), which explicitly resolve cloud dynamics. Resolved horizontal and vertical advection of heat and moisture from an idealized general circulation model (GCM) are prescribed as forcing in the LES. The LES are also forced with prescribed sea ice thickness, but surface temperature, atmospheric temperature, and moisture evolve freely without nudging. A semigray radiative transfer scheme without water vapor and cloud feedbacks allows the GCM and LES to achieve closed energy budgets more easily than would be possible with more complex schemes. This enables the mean states in the two models to be consistently compared, without the added complications from interaction with more comprehensive radiation. We show that the LES closely follow the GCM seasonal cycle, and the seasonal cycle of low-level clouds in the LES resembles observations: maximum cloud liquid occurs in late summer and early autumn, and winter clouds are dominated by ice in the upper troposphere. Large-scale advection of moisture provides the main source of water vapor for the liquid-containing clouds in summer, while a temperature advection peak in winter makes the atmosphere relatively dry and reduces cloud condensate. The framework we develop and employ can be used broadly for studying cloud processes and the response of polar clouds to climate warming. © 2021 The Authors. Journal of Advances in Modeling Earth Systems published by Wiley Periodicals LLC on behalf of American Geophysical Union. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no ... Article in Journal/Newspaper Arctic Sea ice Caltech Authors (California Institute of Technology) Arctic |
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Open Polar |
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Caltech Authors (California Institute of Technology) |
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ftcaltechauth |
language |
unknown |
topic |
cloud LES Arctic seasonal cycle mixed-phase cloud |
spellingShingle |
cloud LES Arctic seasonal cycle mixed-phase cloud Zhang, Xiyue Schneider, Tapio Shen, Zhaoyi Pressel, Kyle G. Eisenman, Ian Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM |
topic_facet |
cloud LES Arctic seasonal cycle mixed-phase cloud |
description |
The uncertainty in polar cloud feedbacks calls for process understanding of the cloud response to climate warming. As an initial step toward improved process understanding, we investigate the seasonal cycle of polar clouds in the current climate by adopting a novel modeling framework using large eddy simulations (LES), which explicitly resolve cloud dynamics. Resolved horizontal and vertical advection of heat and moisture from an idealized general circulation model (GCM) are prescribed as forcing in the LES. The LES are also forced with prescribed sea ice thickness, but surface temperature, atmospheric temperature, and moisture evolve freely without nudging. A semigray radiative transfer scheme without water vapor and cloud feedbacks allows the GCM and LES to achieve closed energy budgets more easily than would be possible with more complex schemes. This enables the mean states in the two models to be consistently compared, without the added complications from interaction with more comprehensive radiation. We show that the LES closely follow the GCM seasonal cycle, and the seasonal cycle of low-level clouds in the LES resembles observations: maximum cloud liquid occurs in late summer and early autumn, and winter clouds are dominated by ice in the upper troposphere. Large-scale advection of moisture provides the main source of water vapor for the liquid-containing clouds in summer, while a temperature advection peak in winter makes the atmosphere relatively dry and reduces cloud condensate. The framework we develop and employ can be used broadly for studying cloud processes and the response of polar clouds to climate warming. © 2021 The Authors. Journal of Advances in Modeling Earth Systems published by Wiley Periodicals LLC on behalf of American Geophysical Union. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no ... |
format |
Article in Journal/Newspaper |
author |
Zhang, Xiyue Schneider, Tapio Shen, Zhaoyi Pressel, Kyle G. Eisenman, Ian |
author_facet |
Zhang, Xiyue Schneider, Tapio Shen, Zhaoyi Pressel, Kyle G. Eisenman, Ian |
author_sort |
Zhang, Xiyue |
title |
Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM |
title_short |
Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM |
title_full |
Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM |
title_fullStr |
Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM |
title_full_unstemmed |
Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM |
title_sort |
seasonal cycle of idealized polar clouds: large eddy simulations driven by a gcm |
publisher |
American Geophysical Union |
publishDate |
2022 |
url |
https://doi.org/10.1029/2021MS002671 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Journal of Advances in Modelling Earth Systems, 14(1), Art. No. e2021MS002671, (2022-01) |
op_relation |
https://doi.org/10.1002/essoar.10503204.1 https://doi.org/10.5281/zenodo.5773236 https://doi.org/10.5281/zenodo.5773210 https://doi.org/10.22002/D1.1429 https://ceres.larc.nasa.gov/data/ https://doi.org/10.1029/2021MS002671 eprintid:106301 |
op_rights |
info:eu-repo/semantics/openAccess Other |
op_doi |
https://doi.org/10.1029/2021MS00267110.1002/essoar.10503204.110.5281/zenodo.577323610.5281/zenodo.577321010.22002/D1.1429 |
_version_ |
1813446320483991552 |