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Title: A Probabilistic Radar Forward Model for Branched Planar Ice Crystals

Abstract

Polarimetric radar measurements provide information about ice particle growth and offer the potential to evaluate and better constrain ice microphysical models. To achieve these goals, one must map the ice particle physical properties (e.g., those predicted by a microphysical model) to electromagnetic scattering properties using a radar forward model. Simplified methods of calculating these scattering properties using homogeneous, reduced-density spheroids produce large errors in the polarimetric radar measurements, particularly for low-aspect-ratio branched planar crystals. To overcome these errors, an empirical method is introduced to more faithfully represent branched planar crystal scattering using scattering calculations for a large number of detailed shapes. Additionally, estimates of the uncertainty in the scattering properties, owing to ambiguity in the crystal shape given a set of bulk physical properties, are also incorporated in the forward model. To demonstrate the utility of the forward model developed herein, the radar variables are simulated from microphysical model output for an Arctic cloud case. Finally, the simulated radar variables from the empirical forward model are more consistent with the observations compared to those from the homogeneous, reduced-density-spheroid model, and have relatively low uncertainty.

Authors:
 [1];  [1]
  1. 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), Biological and Environmental Research (BER)
OSTI Identifier:
1524128
Alternate Identifier(s):
OSTI ID: 1612049
Grant/Contract Number:  
SC0013953; SC0018933
Resource Type:
Published Article
Journal Name:
Journal of Applied Meteorology and Climatology
Additional Journal Information:
Journal Name: Journal of Applied Meteorology and Climatology Journal Volume: 58 Journal Issue: 6; Journal ID: ISSN 1558-8424
Publisher:
American Meteorological Society
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; 47 OTHER INSTRUMENTATION; 54 ENVIRONMENTAL SCIENCES; meteorology & atmospheric sciences; cloud microphysics; ice crystals; radars/radar observations

Citation Formats

Schrom, Robert S., and Kumjian, Matthew R.. A Probabilistic Radar Forward Model for Branched Planar Ice Crystals. United States: N. p., 2019. Web. https://doi.org/10.1175/JAMC-D-18-0204.1.
Schrom, Robert S., & Kumjian, Matthew R.. A Probabilistic Radar Forward Model for Branched Planar Ice Crystals. United States. https://doi.org/10.1175/JAMC-D-18-0204.1
Schrom, Robert S., and Kumjian, Matthew R.. Sat . "A Probabilistic Radar Forward Model for Branched Planar Ice Crystals". United States. https://doi.org/10.1175/JAMC-D-18-0204.1.
@article{osti_1524128,
title = {A Probabilistic Radar Forward Model for Branched Planar Ice Crystals},
author = {Schrom, Robert S. and Kumjian, Matthew R.},
abstractNote = {Polarimetric radar measurements provide information about ice particle growth and offer the potential to evaluate and better constrain ice microphysical models. To achieve these goals, one must map the ice particle physical properties (e.g., those predicted by a microphysical model) to electromagnetic scattering properties using a radar forward model. Simplified methods of calculating these scattering properties using homogeneous, reduced-density spheroids produce large errors in the polarimetric radar measurements, particularly for low-aspect-ratio branched planar crystals. To overcome these errors, an empirical method is introduced to more faithfully represent branched planar crystal scattering using scattering calculations for a large number of detailed shapes. Additionally, estimates of the uncertainty in the scattering properties, owing to ambiguity in the crystal shape given a set of bulk physical properties, are also incorporated in the forward model. To demonstrate the utility of the forward model developed herein, the radar variables are simulated from microphysical model output for an Arctic cloud case. Finally, the simulated radar variables from the empirical forward model are more consistent with the observations compared to those from the homogeneous, reduced-density-spheroid model, and have relatively low uncertainty.},
doi = {10.1175/JAMC-D-18-0204.1},
journal = {Journal of Applied Meteorology and Climatology},
number = 6,
volume = 58,
place = {United States},
year = {2019},
month = {6}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1175/JAMC-D-18-0204.1

Citation Metrics:
Cited by: 1 work
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