Several previous studies of using various dual-polarimetric radars with different wavelengthes (i.e., S, C and X-band) in Taiwan have shown the pronounced improvement of the accuracy of the quantitative precipitation estimation (QPE). The utilizing of the dual-polarimetric radar and the disdrometer data (i.e., drop size distribution) simultaneously is the main reason. In the coming few years, a new C-band QPE dual-polarimetric radar network will be constructed and cooperated with S-band network. Due to various manufacture configurations and surrounding environments, each radar has distinct error characteristics of non-meteorological signals. The removal of these non-meteorological signals is essential for quantitative applications from dual-polarimetric radar. The self-adaptive fuzzy-logic non-meteorological signals identification algorithm has been developed in previous project. Moreover, the dynamic system bias due to wet-random effect and the rain attenuation effect are crucial for further applications as well. The first of this three-year project has developed the algorithm for correcting the system bias and wet-random effect. Furthermore, investigating attenuation characteristics of melting layer is proposed in this project (second-year). The RCWF and RCMD The goals in this three-years project for second and third year are: 2nd year, evaluating the unified quality-control (QC) procedures by applying to RCMD and RCWF. Examining the attenuation characteristics of melting layer of C- and S-band radars.3rd year, investigating the performance of radar-based QPE before and after applying unified quality-control (QC) procedures.
|Effective start/end date||1/08/20 → 31/07/21|
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):