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

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 N i 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, N i , 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:
 [1];  [2];  [3];  [1]
  1. NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey
  2. Institute for Terrestrial and Planetary Atmospheres, School of Marine and Atmospheric Sciences, Stony Brook University, State University of New York, Stony Brook, New York
  3. National Center for Atmospheric Research, Boulder, Colorado
Publication Date:
Research Org.:
State Univ. of New York (SUNY), Albany, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
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.
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. doi:10.1175/JAS-D-17-0037.1.
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. doi:10.1175/JAS-D-17-0037.1.
@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 = {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 N i 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, N i , 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}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1175/JAS-D-17-0037.1

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