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contributor authorSchrom, Robert S.
contributor authorKumjian, Matthew R.
date accessioned2019-10-05T06:49:34Z
date available2019-10-05T06:49:34Z
date copyright4/10/2019 12:00:00 AM
date issued2019
identifier otherJAMC-D-18-0204.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263537
description abstractAbstractPolarimetric 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. 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.
publisherAmerican Meteorological Society
titleA Probabilistic Radar Forward Model for Branched Planar Ice Crystals
typeJournal Paper
journal volume58
journal issue6
journal titleJournal of Applied Meteorology and Climatology
identifier doi10.1175/JAMC-D-18-0204.1
journal fristpage1245
journal lastpage1265
treeJournal of Applied Meteorology and Climatology:;2019:;volume 058:;issue 006
contenttypeFulltext


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