Dr Tsz Yan Leung
Tsz Yan focusses on ensemble aspects of the Met Office's next-generation data assimilation system in development.
Areas of expertise
- Data assimilation
- Ensemble forecasting
- Predictability of weather
- Verification methods for numerical weather prediction
Tsz Yan is a scientist in the Data Assimilation Methods team. He specialises in the development of ensemble data assimilation capabilities for the Met Office's next-generation weather forecasting system. His work is based on the Joint Effort for Data assimilation and Integration (JEDI) framework and involves collaboration with scientists at the Joint Center for Satellite Data Assimilation (JCSDA) in the USA. Being part of the MetOffice@Reading unit, Tsz Yan also maintains strong links with researchers at the University of Reading.
After completing his first degree in mathematics at Imperial College London, Tsz Yan joined the EPSRC Centre for Doctoral Training in the Mathematics of Planet Earth, a joint centre between Imperial and the University of Reading, where he earned an MRes (2017) and PhD (2020) on weather predictability topics. Following his PhD, he stayed in Reading to take up a post-doctoral research position in data assimilation. In that role, he looked into new methods for addressing the challenges brought by coupling between atmospheric and oceanic data assimilation systems. He remained in that position until he joined the Met Office in April 2022.