Heavy rain and strong wind prediction in Taiwan is very challenging. Moreover, the predictability of severe weather in northern Taiwan is even more complicated due to the movement/development of the severe weather system, interaction with the environment or local circulation, microphysics and complex terrain. The convective-scale data assimilation and prediction actually involves forecast errors multi-scales. The proposal aims to study the predictability of the severe weather in northern Taiwan based on the observations collected during TAHOPE and PRECIP2020 and through the high-resolution, multi-scale data assimilation system. Particularly, we will focus on the assimilation of moisture observations and study the impact of moisture errors on the development of severe weather systems. As a preparation for TAHOPE, issues related to intensity prediction will be investigated based on the observation system experiments and observation system simulation experiments.
|Effective start/end date||1/08/19 → 31/07/20|
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):