The purpose of the research is to build up and develop a sophisticated nowcasting system, butcosts less computational resource. By using radar reflectivity from the network over Taiwan, withvariational echo tracking technique and semi-Largrangian backward scheme¸ the motion field of theweather system is able to obtain and extrapolate to the next time step for nowcasting. The advectionbased on the motion field is allowed for large-scale rotation, deformation, and differential motionbetween different systems. These features can better capture the displacement of the weather system.The main targets of the nowcasting system are strong convections with precipitation caused bysynoptic scale (Mei-Yu front, frontal system, and south-west flow). The performance of thenowcasting will be examined by using different skill scores (POD, FAR, CSI, and ETS). We expectto improve 0-3 h weather prediction, so that it is able to prevent disasters and reduce damages.
|Effective start/end date||1/08/17 → 31/07/18|
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):
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