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Validation of simulated hurricane drop size distributions using polarimetric radar
Author(s) -
Brown Bonnie R.,
Bell Michael M.,
Frambach Andrew J.
Publication year - 2016
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1002/2015gl067278
Subject(s) - environmental science , meteorology , radar , tropical cyclone , polarimetry , storm , bin , disdrometer , severe weather , precipitation , predictability , remote sensing , computer science , geology , physics , scattering , optics , telecommunications , algorithm , quantum mechanics , rain gauge
Recent upgrades to the U.S. radar network now allow for polarimetric measurements of landfalling hurricanes, providing a new data set to validate cloud microphysical parameterizations used in tropical cyclone simulations. Polarimetric radar reflectivity and differential reflectivity simulated by the Weather Research and Forecasting model were compared with real radar observations from 2014 in Hurricanes Arthur and Ana. Six different microphysics parameterizations were tested that were able to capture the major features of both hurricanes, including accurate tracks, precipitation asymmetry, and the approximate intensity of the storms. A high correlation between simulated intensity and rainfall across schemes suggests an intimate link between the latent heating produced by the microphysics and the storm dynamics. Most of the parameterizations produced a higher frequency of larger raindrops than observed. The Thompson aerosol‐aware bulk and explicit spectral bin microphysical schemes showed the best fidelity to the observations at a higher computational cost.