Evaluating the Impact of Assimilating Multi-Frequencies Weather Radars during Tahope for Storm-Scale Data Assimilation System

Project Details

Description

Taiwan is affected by complex terrains, where there is clearly a multi-scale interaction with terrain in strong winds and precipitation caused by severe weather events. In Mesoscale and convective-scale precipitation, the observation of meteorological radars provides high-resolution information both in space and time. The radar network of Taiwan in the near future will have different bands of weather radar. The dense observation network formed by radars of different channels can provide a better grasp of the severe weather phenomena that occur in Taiwan both in short- and long-range. In particular, the use of multiple radars in shorter wavelengths to fill areas that are difficult to detect because of complex terrain and near ground can be of great help in monitoring and preventing disasters. Furthermore, by assimilating radar observational into numerical models and obtaining optimal analysis under severe weather systems will be of substantial help to very short-term forecast. The purpose of this research is to evaluate and assimilate high-density radar information in different bands to improve very short-term forecast on severe weather events. At the same time, we will assist the field experiment in 2020 to survey the location of additional advanced radars. In addition, how the scanning strategy should be carried out. The advanced radar equipment brought by intensive observation experiments can also serve as a reference for Taiwan's future acquisitions of Mesoscale and convective-scale meteorology.
StatusFinished
Effective start/end date1/08/1831/07/19

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):

  • SDG 11 - Sustainable Cities and Communities
  • SDG 17 - Partnerships for the Goals

Keywords

  • multi-frequencies weather Radars
  • data assimilation
  • severe weather systems

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