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.

doi:10.1175/JAS-D-17-0037.1

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

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Abstract

Abstract 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.

Authors:

Fan, Songmiao ^[1]; Knopf, Daniel A. ^[2]; Heymsfield, Andrew J. ^[3]; Donner, Leo J. ^[1]

NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
Institute for Terrestrial and Planetary Atmospheres, School of Marine and Atmospheric Sciences, Stony Brook University, State University of New York, Stony Brook, New York
National Center for Atmospheric Research, Boulder, Colorado

Publication Date:: 2017-11-15

Research Org.:: State Univ. of New York (SUNY), Albany, NY (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

OSTI Identifier:: 1408935

Alternate Identifier(s):: OSTI ID: 1541819

Grant/Contract Number:: SC0016370

Resource Type:: Published Article

Journal Name:: Journal of the Atmospheric Sciences

Additional Journal Information:: Journal Name: Journal of the Atmospheric Sciences Journal Volume: 74 Journal Issue: 11; Journal ID: ISSN 0022-4928

Publisher:: American Meteorological Society

Country of Publication:: United States

Language:: English

Subject:: 54 ENVIRONMENTAL SCIENCES; Meteorology & Atmospheric Sciences

Citation Formats


                    Fan, Songmiao, Knopf, Daniel A., Heymsfield, Andrew J., and Donner, Leo J. Modeling of Aircraft Measurements of Ice Crystal Concentration in the Arctic and a Parameterization for Mixed-Phase Cloud.  United States: N. p., 2017. 
Web.  doi:10.1175/JAS-D-17-0037.1.

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                    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.  United States.  https://doi.org/10.1175/JAS-D-17-0037.1

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                    Fan, Songmiao, Knopf, Daniel A., Heymsfield, Andrew J., and Donner, Leo J. Wed .  
"Modeling of Aircraft Measurements of Ice Crystal Concentration in the Arctic and a Parameterization for Mixed-Phase Cloud".  United States.  https://doi.org/10.1175/JAS-D-17-0037.1.

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@article{osti_1408935,

  title        = {Modeling of Aircraft Measurements of Ice Crystal Concentration in the Arctic and a Parameterization for Mixed-Phase Cloud},

  author       = {Fan, Songmiao and Knopf, Daniel A. and Heymsfield, Andrew J. and Donner, Leo J.},

  abstractNote = {Abstract 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.},

  doi          = {10.1175/JAS-D-17-0037.1},

  journal      = {Journal of the Atmospheric Sciences},

  number       = 11,

  volume       = 74,

  place        = {United States},

  year         = {2017},

  month        = {11}

}

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