POLARRIS: A POLArimetric Radar Retrieval and Instrument Simulator

Matsui, Toshi; Dolan, Brenda; Rutledge, Steven A.; Tao, Wei‐Kuo; Iguchi, Takamichi; Barnum, Julie; Lang, Stephen E.

doi:10.1029/2018jd028317

Title: POLARRIS: A POLArimetric Radar Retrieval and Instrument Simulator

Journal Article · Fri Mar 29 00:00:00 EDT 2019 · Journal of Geophysical Research: Atmospheres

DOI:https://doi.org/10.1029/2018jd028317· OSTI ID:1612152

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^[4]; Lang, Stephen E. ^[5]

NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States); Univ. of Maryland, College Park, MD (United States). Dept. of Physics
Colorado State Univ., Fort Collins, CO (United States)
NASA Goddard Space Flight Center Greenbelt MD USA
Colorado State Univ., Fort Collins, CO (United States); Lab. for Atmospheric and Space Physics, Boulder, CO (United States0
NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States); Science Systems and Applications, Inc., Lanham, MD (United States)

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.

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Research Organization:: Colorado State Univ., Fort Collins, CO (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: SC0014371

OSTI ID:: 1612152

Journal Information:: Journal of Geophysical Research: Atmospheres, Vol. 124, Issue 8; ISSN 2169-897X

Publisher:: American Geophysical UnionCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 22 works

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Title: POLARRIS: A POLArimetric Radar Retrieval and Instrument Simulator

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