Typhoons are often accompanied by strong wind and precipitation and couldresult in disaster. With global warming, extreme weather events areintensification recently. With the FORMOSAT-7 radio occultation (RO) datapenetrating close to the surface over the tropical and subtropical regions, it isuseful for the atmospheric information over the ocean. In addition, the nonlocalobservational operator can consider the variation of the atmospheric horizontalgradient. In this study, we will use a hybrid data assimilation and the nonlocaloperator for the investigation of the RO data impact on the prediction of typhoontrack and precipitation.
|Effective start/end date||7/10/22 → 31/07/23|
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):
- FORMOSAT-7，nonlocal operator，Typhoo，hybrid data assimilation
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