Modeling of Aircraft Measurements of Ice Crystal Concentration in the Arctic and a Parameterization for Mixed-Phase Cloud

In this study, two parameterizations of ice nucleation rate on dust particles are used in a parcel model to simulate aircraft measurements of ice crystal number concentration Ni in the Arctic. The parcel model has detailed microphysics for droplet and ice nucleation, growth, and evaporation with pre...

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Bibliographic Details
Published in:Journal of the Atmospheric Sciences
Main Authors: Fan, Songmiao, Knopf, Daniel A., Heymsfield, Andrew J., Donner, Leo J.
Language:unknown
Published: 2019
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1541819
https://www.osti.gov/biblio/1541819
https://doi.org/10.1175/jas-d-17-0037.1
id ftosti:oai:osti.gov:1541819
record_format openpolar
spelling ftosti:oai:osti.gov:1541819 2023-07-30T04:01:19+02:00 Modeling of Aircraft Measurements of Ice Crystal Concentration in the Arctic and a Parameterization for Mixed-Phase Cloud Fan, Songmiao Knopf, Daniel A. Heymsfield, Andrew J. Donner, Leo J. 2019-12-19 application/pdf http://www.osti.gov/servlets/purl/1541819 https://www.osti.gov/biblio/1541819 https://doi.org/10.1175/jas-d-17-0037.1 unknown http://www.osti.gov/servlets/purl/1541819 https://www.osti.gov/biblio/1541819 https://doi.org/10.1175/jas-d-17-0037.1 doi:10.1175/jas-d-17-0037.1 54 ENVIRONMENTAL SCIENCES 2019 ftosti https://doi.org/10.1175/jas-d-17-0037.1 2023-07-11T09:34:58Z In this study, two parameterizations of ice nucleation rate on dust particles are used in a parcel model to simulate aircraft measurements of ice crystal number concentration Ni in the Arctic. The parcel model has detailed microphysics for droplet and ice nucleation, growth, and evaporation with prescribed vertical air velocities. Three dynamic regimes are considered, including large-scale ascent, cloud-top generating cells, and their combination. With observed meteorological conditions and aerosol concentrations, the parcel model predicts the number concentrations of size-resolved ice crystals, which may be compared to aircraft measurements. Model results show rapid changes with height/time in relative humidity, Ni, and thermodynamic phase partitioning, which is not resolved in current climate and weather forecasting models. Parameterizations for ice number and nucleation rate in mixed-phase stratus clouds are thus developed based on the parcel model results to represent the time-integrated effect of some microphysical processes in large-scale models. Other/Unknown Material Arctic SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic Journal of the Atmospheric Sciences 74 11 3799 3814
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 54 ENVIRONMENTAL SCIENCES
spellingShingle 54 ENVIRONMENTAL SCIENCES
Fan, Songmiao
Knopf, Daniel A.
Heymsfield, Andrew J.
Donner, Leo J.
Modeling of Aircraft Measurements of Ice Crystal Concentration in the Arctic and a Parameterization for Mixed-Phase Cloud
topic_facet 54 ENVIRONMENTAL SCIENCES
description In this study, two parameterizations of ice nucleation rate on dust particles are used in a parcel model to simulate aircraft measurements of ice crystal number concentration Ni in the Arctic. The parcel model has detailed microphysics for droplet and ice nucleation, growth, and evaporation with prescribed vertical air velocities. Three dynamic regimes are considered, including large-scale ascent, cloud-top generating cells, and their combination. With observed meteorological conditions and aerosol concentrations, the parcel model predicts the number concentrations of size-resolved ice crystals, which may be compared to aircraft measurements. Model results show rapid changes with height/time in relative humidity, Ni, and thermodynamic phase partitioning, which is not resolved in current climate and weather forecasting models. Parameterizations for ice number and nucleation rate in mixed-phase stratus clouds are thus developed based on the parcel model results to represent the time-integrated effect of some microphysical processes in large-scale models.
author Fan, Songmiao
Knopf, Daniel A.
Heymsfield, Andrew J.
Donner, Leo J.
author_facet Fan, Songmiao
Knopf, Daniel A.
Heymsfield, Andrew J.
Donner, Leo J.
author_sort Fan, Songmiao
title Modeling of Aircraft Measurements of Ice Crystal Concentration in the Arctic and a Parameterization for Mixed-Phase Cloud
title_short Modeling of Aircraft Measurements of Ice Crystal Concentration in the Arctic and a Parameterization for Mixed-Phase Cloud
title_full Modeling of Aircraft Measurements of Ice Crystal Concentration in the Arctic and a Parameterization for Mixed-Phase Cloud
title_fullStr Modeling of Aircraft Measurements of Ice Crystal Concentration in the Arctic and a Parameterization for Mixed-Phase Cloud
title_full_unstemmed Modeling of Aircraft Measurements of Ice Crystal Concentration in the Arctic and a Parameterization for Mixed-Phase Cloud
title_sort modeling of aircraft measurements of ice crystal concentration in the arctic and a parameterization for mixed-phase cloud
publishDate 2019
url http://www.osti.gov/servlets/purl/1541819
https://www.osti.gov/biblio/1541819
https://doi.org/10.1175/jas-d-17-0037.1
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation http://www.osti.gov/servlets/purl/1541819
https://www.osti.gov/biblio/1541819
https://doi.org/10.1175/jas-d-17-0037.1
doi:10.1175/jas-d-17-0037.1
op_doi https://doi.org/10.1175/jas-d-17-0037.1
container_title Journal of the Atmospheric Sciences
container_volume 74
container_issue 11
container_start_page 3799
op_container_end_page 3814
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