13B.5 The Improvement to the Specific Differential Phase Estimation with the Modified Linear Programming Method

Friday, 18 September 2015: 9:30 AM
University C (Embassy Suites Hotel and Conference Center )
Hao Huang, Nanjing University, Nanjing, Jiangsu, China

This study presents an approach to improve the estimation of specific differential phase (KDP) by combing the linear programming method (LP) and the self-consistent constraint method. The self-consistent constraint among horizontal reflectivity factor (Zh), differential reflectivity (ZDR), and KDP in rain is derived from the raindrop size distribution observations collected by a 2D video disdrometer (2DVD) in East China. Results with simulated data show the proposed algorithm has a good performance. As the traditional LP method uses a unified nonnegative lower boundary of KDP, it can't resolve the KDP accurately in the heavy rainfall region where the measured copolar differential phase (YDP) provides less effective information of precipitation property. The modified LP method, however, can overcome this problem by using self-consistent constraints. Furthermore, the application of the modified LP method in two heavy rainfall cases observed by a C-band Polarimetric Radar demonstrates its superiority to the traditional LP method in KDP estimations.
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