Assimilation of Polarimetric Radar Observation With GSI Cloud Analysis for the Prediction of a Squall Line

Dual-polarization radars can provide rich three-dimensional (3D) information on cloud precipitation structure. To utilize the existing polarimetric radar network in operational data assimilation systems, a new radar-based analysis method is introduced. New features include employment of fuzzy-logic hydrometeor classification, improved estimation liquid and ice regions, newly-added number concentration estimation. The scheme evaluated with typical squall line case. Results show that 3D structure short-term forecast consistently improved. With extra from observations, able to produce reasonable signatures for analysis. More supercooled water results more latent heat release which enhances updraft, leading stronger convection subsequent forecast. This study emphasizes importance correct initial particle condition prediction deep convection.