Simulated Polarimetric Fields of Ice Vapor Growth Using the Adaptive Habit Model. Part I: Large-Eddy Simulations
The bulk adaptive habit model (AHM) explicitly predicts ice particle aspect ratio, improving the representation of microphysical processes and properties, including ice–liquid-phase partitioning. With the unique ability to predict ice particle shape and density, the AHM is combined with an offline f...
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ftosti:oai:osti.gov:1537032 2023-07-30T04:01:49+02:00 Simulated Polarimetric Fields of Ice Vapor Growth Using the Adaptive Habit Model. Part I: Large-Eddy Simulations Sulia, Kara J. Kumjian, Matthew R. 2021-08-02 application/pdf http://www.osti.gov/servlets/purl/1537032 https://www.osti.gov/biblio/1537032 https://doi.org/10.1175/mwr-d-16-0061.1 unknown http://www.osti.gov/servlets/purl/1537032 https://www.osti.gov/biblio/1537032 https://doi.org/10.1175/mwr-d-16-0061.1 doi:10.1175/mwr-d-16-0061.1 54 ENVIRONMENTAL SCIENCES 2021 ftosti https://doi.org/10.1175/mwr-d-16-0061.1 2023-07-11T09:34:54Z The bulk adaptive habit model (AHM) explicitly predicts ice particle aspect ratio, improving the representation of microphysical processes and properties, including ice–liquid-phase partitioning. With the unique ability to predict ice particle shape and density, the AHM is combined with an offline forward operator to produce fields of simulated polarimetric variables. An evaluation of AHM-forward-simulated dualpolarization radar signatures in an idealized Arctic mixed-phase cloud is presented. Interpretations of those signatures are provided through microphysical model output using the large-eddy simulation mode of the Weather Research and Forecasting Model. Vapor-grown ice properties are associated with distinct observable signatures in polarimetric radar variables, with clear sensitivities to the simulated ice particle properties, including ice number, size, and distribution shape. On the other hand, the liquid droplet number has little influence on both polarimetric and microphysical variables in the case presented herein. Polarimetric quantities are sensitive to the dominating crystal habit type in a volume, with enhancements for aspect ratios much lower or higher than unity. This synthesis of a microphysical model and a polarimetric forward simulator is a beginning step in the evaluation of detailed AHM microphysics. Other/Unknown Material Arctic SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic Monthly Weather Review 145 6 2281 2302 |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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54 ENVIRONMENTAL SCIENCES |
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54 ENVIRONMENTAL SCIENCES Sulia, Kara J. Kumjian, Matthew R. Simulated Polarimetric Fields of Ice Vapor Growth Using the Adaptive Habit Model. Part I: Large-Eddy Simulations |
topic_facet |
54 ENVIRONMENTAL SCIENCES |
description |
The bulk adaptive habit model (AHM) explicitly predicts ice particle aspect ratio, improving the representation of microphysical processes and properties, including ice–liquid-phase partitioning. With the unique ability to predict ice particle shape and density, the AHM is combined with an offline forward operator to produce fields of simulated polarimetric variables. An evaluation of AHM-forward-simulated dualpolarization radar signatures in an idealized Arctic mixed-phase cloud is presented. Interpretations of those signatures are provided through microphysical model output using the large-eddy simulation mode of the Weather Research and Forecasting Model. Vapor-grown ice properties are associated with distinct observable signatures in polarimetric radar variables, with clear sensitivities to the simulated ice particle properties, including ice number, size, and distribution shape. On the other hand, the liquid droplet number has little influence on both polarimetric and microphysical variables in the case presented herein. Polarimetric quantities are sensitive to the dominating crystal habit type in a volume, with enhancements for aspect ratios much lower or higher than unity. This synthesis of a microphysical model and a polarimetric forward simulator is a beginning step in the evaluation of detailed AHM microphysics. |
author |
Sulia, Kara J. Kumjian, Matthew R. |
author_facet |
Sulia, Kara J. Kumjian, Matthew R. |
author_sort |
Sulia, Kara J. |
title |
Simulated Polarimetric Fields of Ice Vapor Growth Using the Adaptive Habit Model. Part I: Large-Eddy Simulations |
title_short |
Simulated Polarimetric Fields of Ice Vapor Growth Using the Adaptive Habit Model. Part I: Large-Eddy Simulations |
title_full |
Simulated Polarimetric Fields of Ice Vapor Growth Using the Adaptive Habit Model. Part I: Large-Eddy Simulations |
title_fullStr |
Simulated Polarimetric Fields of Ice Vapor Growth Using the Adaptive Habit Model. Part I: Large-Eddy Simulations |
title_full_unstemmed |
Simulated Polarimetric Fields of Ice Vapor Growth Using the Adaptive Habit Model. Part I: Large-Eddy Simulations |
title_sort |
simulated polarimetric fields of ice vapor growth using the adaptive habit model. part i: large-eddy simulations |
publishDate |
2021 |
url |
http://www.osti.gov/servlets/purl/1537032 https://www.osti.gov/biblio/1537032 https://doi.org/10.1175/mwr-d-16-0061.1 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
http://www.osti.gov/servlets/purl/1537032 https://www.osti.gov/biblio/1537032 https://doi.org/10.1175/mwr-d-16-0061.1 doi:10.1175/mwr-d-16-0061.1 |
op_doi |
https://doi.org/10.1175/mwr-d-16-0061.1 |
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Monthly Weather Review |
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145 |
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6 |
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2281 |
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2302 |
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1772812564496908288 |