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Title: Simulated Polarimetric Fields of Ice Vapor Growth Using the Adaptive Habit Model. Part I: Large-Eddy Simulations

Abstract

Abstract 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 dual-polarization 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. In contrast, 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 first step in the evaluation of detailed AHM microphysics.

Authors:
 [1];  [2]
  1. Atmospheric Sciences Research Center, University at Albany, State University of New York, Albany, New York
  2. Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania
Publication Date:
Research Org.:
Pennsylvania State Univ., University Park, PA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1357941
Alternate Identifier(s):
OSTI ID: 1537032
Grant/Contract Number:  
FG02-05ER64058
Resource Type:
Published Article
Journal Name:
Monthly Weather Review
Additional Journal Information:
Journal Name: Monthly Weather Review Journal Volume: 145 Journal Issue: 6; Journal ID: ISSN 0027-0644
Publisher:
American Meteorological Society
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Cloud microphysics; Ice loss/growth; Ice particles; Radars/Radar observations; Large eddy simulations; Model evaluation/performance

Citation Formats

Sulia, Kara J., and Kumjian, Matthew R. Simulated Polarimetric Fields of Ice Vapor Growth Using the Adaptive Habit Model. Part I: Large-Eddy Simulations. United States: N. p., 2017. Web. doi:10.1175/MWR-D-16-0061.1.
Sulia, Kara J., & Kumjian, Matthew R. Simulated Polarimetric Fields of Ice Vapor Growth Using the Adaptive Habit Model. Part I: Large-Eddy Simulations. United States. doi:10.1175/MWR-D-16-0061.1.
Sulia, Kara J., and Kumjian, Matthew R. Mon . "Simulated Polarimetric Fields of Ice Vapor Growth Using the Adaptive Habit Model. Part I: Large-Eddy Simulations". United States. doi:10.1175/MWR-D-16-0061.1.
@article{osti_1357941,
title = {Simulated Polarimetric Fields of Ice Vapor Growth Using the Adaptive Habit Model. Part I: Large-Eddy Simulations},
author = {Sulia, Kara J. and Kumjian, Matthew R.},
abstractNote = {Abstract 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 dual-polarization 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. In contrast, 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 first step in the evaluation of detailed AHM microphysics.},
doi = {10.1175/MWR-D-16-0061.1},
journal = {Monthly Weather Review},
number = 6,
volume = 145,
place = {United States},
year = {2017},
month = {5}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1175/MWR-D-16-0061.1

Citation Metrics:
Cited by: 2 works
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