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Title: POLARRIS: A POLArimetric Radar Retrieval and Instrument Simulator

Abstract

This paper introduces a synthetic polarimetric radar simulator and retrieval package, POLArimetric Radar Retrieval and Instrument Simulator (POLARRIS), for evaluating cloud-resolving models (CRMs). POLARRIS is composed of forward (POLARRIS-f) and inverse (retrieval and diagnostic) components (iPOLARRIS) to generate not only polarimetric radar observables ($$Z_h, Z_{dr}, K_{dp}, ρ_{hv})$$ but also radar-consistent geophysical parameters such as hydrometeor identification, vertical velocity, and rainfall rates retrieved from CRM data. To demonstrate its application and uncertainties, POLARRIS is applied to simulations of a mesoscale convective system over the Southern Great Plains on 23 May 2011, using the Weather Research and Forecasting model with both spectral bin microphysics (SBM) and the Goddard single-moment bulk 4ICE microphysics. Statistical composites reveal a significant dependence of simulated polarimetric observables $$(Z_{dr}, K_{dp})$$ on the assumptions of the particle axis ratio (oblateness) and orientation angle distributions. We note the simulated polarimetric variables differ considerably between the SBM and 4ICE microphysics in part due to the differences in their ice particle size distributions as revealed by comparisons with aircraft measurements. Regardless of these uncertainties, simulated hydrometeor identification distributions overestimate graupel and hail fractions, especially from the simulation with SBM. To minimize uncertainties in forward model, the particle shape and orientation angle distributions of frozen particles should be predicted in a microphysics scheme in addition to the size distributions and particle densities.

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [1]; ORCiD logo [4];  [5]
  1. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States); Univ. of Maryland, College Park, MD (United States). Dept. of Physics
  2. Colorado State Univ., Fort Collins, CO (United States)
  3. NASA Goddard Space Flight Center Greenbelt MD USA
  4. Colorado State Univ., Fort Collins, CO (United States); Lab. for Atmospheric and Space Physics, Boulder, CO (United States0
  5. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States); Science Systems and Applications, Inc., Lanham, MD (United States)
Publication Date:
Research Org.:
Colorado State Univ., Fort Collins, CO (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1612152
Grant/Contract Number:  
SC0014371
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Geophysical Research: Atmospheres
Additional Journal Information:
Journal Volume: 124; Journal Issue: 8; Journal ID: ISSN 2169-897X
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; meteorology & atmospheric sciences; polarimetric radar; simulator; microphysics; MC3E; convection; CRM

Citation Formats

Matsui, Toshi, Dolan, Brenda, Rutledge, Steven A., Tao, Wei‐Kuo, Iguchi, Takamichi, Barnum, Julie, and Lang, Stephen E. POLARRIS: A POLArimetric Radar Retrieval and Instrument Simulator. United States: N. p., 2019. Web. doi:10.1029/2018jd028317.
Matsui, Toshi, Dolan, Brenda, Rutledge, Steven A., Tao, Wei‐Kuo, Iguchi, Takamichi, Barnum, Julie, & Lang, Stephen E. POLARRIS: A POLArimetric Radar Retrieval and Instrument Simulator. United States. doi:10.1029/2018jd028317.
Matsui, Toshi, Dolan, Brenda, Rutledge, Steven A., Tao, Wei‐Kuo, Iguchi, Takamichi, Barnum, Julie, and Lang, Stephen E. Fri . "POLARRIS: A POLArimetric Radar Retrieval and Instrument Simulator". United States. doi:10.1029/2018jd028317. https://www.osti.gov/servlets/purl/1612152.
@article{osti_1612152,
title = {POLARRIS: A POLArimetric Radar Retrieval and Instrument Simulator},
author = {Matsui, Toshi and Dolan, Brenda and Rutledge, Steven A. and Tao, Wei‐Kuo and Iguchi, Takamichi and Barnum, Julie and Lang, Stephen E.},
abstractNote = {This paper introduces a synthetic polarimetric radar simulator and retrieval package, POLArimetric Radar Retrieval and Instrument Simulator (POLARRIS), for evaluating cloud-resolving models (CRMs). POLARRIS is composed of forward (POLARRIS-f) and inverse (retrieval and diagnostic) components (iPOLARRIS) to generate not only polarimetric radar observables ($Z_h, Z_{dr}, K_{dp}, ρ_{hv})$ but also radar-consistent geophysical parameters such as hydrometeor identification, vertical velocity, and rainfall rates retrieved from CRM data. To demonstrate its application and uncertainties, POLARRIS is applied to simulations of a mesoscale convective system over the Southern Great Plains on 23 May 2011, using the Weather Research and Forecasting model with both spectral bin microphysics (SBM) and the Goddard single-moment bulk 4ICE microphysics. Statistical composites reveal a significant dependence of simulated polarimetric observables $(Z_{dr}, K_{dp})$ on the assumptions of the particle axis ratio (oblateness) and orientation angle distributions. We note the simulated polarimetric variables differ considerably between the SBM and 4ICE microphysics in part due to the differences in their ice particle size distributions as revealed by comparisons with aircraft measurements. Regardless of these uncertainties, simulated hydrometeor identification distributions overestimate graupel and hail fractions, especially from the simulation with SBM. To minimize uncertainties in forward model, the particle shape and orientation angle distributions of frozen particles should be predicted in a microphysics scheme in addition to the size distributions and particle densities.},
doi = {10.1029/2018jd028317},
journal = {Journal of Geophysical Research: Atmospheres},
issn = {2169-897X},
number = 8,
volume = 124,
place = {United States},
year = {2019},
month = {3}
}

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Cited by: 5 works
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