Project Details
Description
By participating the Taiwan-Area Heavy rain Observation and Prediction Experiment (TAHOPE) field campaign, this study evaluates the impact of assimilating dual-polarimetric radar parameters. The performance of numericalmodels in simulating cloud microphysics of severe weather systems is also examined to validate the impact on high impact weather (High Impact weather) of very short-term forecasts. By using the ensemble data assimilation system, this study applies high-resolution numerical weather prediction model (~1km) and high-density observation radar data (1km). In addition to assimilate the radar Doppler wind and reflectivity, the polarimetric parameters, i.e., ZDR and KDP are also assimilated. The cases during the observation experiment are collected and investigated. In first step, it is focused on the establishment of the dual polarization parameter observation operator in the assimilation system, as well as its sensitivity test and optimization. Then, the new analysis field is used to examine the feature and structure of the precipitation system in horizontal and vertical. The performance of the 0-6 h short-term forecasts is verified. Moreover, how to improve the microphysics parameterization scheme through observational data is also one of the goals of this study.
Status | Finished |
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Effective start/end date | 1/08/22 → 31/08/23 |
UN Sustainable Development Goals
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):
Keywords
- radar dul-polarimetric parameters
- data assimilation
- cloud physics
- model verification
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