Quantitative Precipitation Estimation with Operational Polarimetric Radar Measurements in Southern China: A Differential Phase–Based Variational Approach

• DOI: 10.1175/jtech-d-17-0142.1
• Publication Date: 2018-04-20T18:09:45Z
• Authors: Hao Huang; Kun Zhao; Guifu Zhang; Qing Lin; Long Wen; Gang Chen; Zhengwei Yang; Mingjun Wang; Dongming Hu
• Keywords: Quantitative precipitation estimation; Variational method

Abstract Quantitative precipitation estimation (QPE) with polarimetric radar measurements suffers from different sources of uncertainty. The variational approach appears to be a promising way optimize the QPE statistically. In this study is developed quantitatively estimate rainfall rate ( R ) differential phase (Φ DP ). A spline filter utilized in optimization procedures eliminate impact random errors Φ , which can major source error specific K )-based QPE. addition, estimated horizontal reflectivity factor Z H used priori covariance matrix statistically determined. evaluated by an idealized case and multiple real cases observed operational S-band southern China. comparative results demonstrate that proper range filter, proposed included agrees well rain gauge proves have better performance than other three approaches, is, without included, Hogan, conventional power-law estimator-based approach.