Postdoctoral Researcher, Prediction Science Research Team, Division of Applied Mathematical Science, RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS)
Unashish Mondal
Ph.D.
- Research Fields
- Data Assimilation
- Appointment History
- 2025/06/01 - Postdoctoral Researcher, Prediction Science Research Team, Division of Applied Mathematical Science, RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS)
- Other Affiliations
- JSPS Fellow, Data Assimilation Research Team, RIKEN Center for Computational Science (R-CCS)
Self-introduction
Hey everyone, I’m Unashish Mondal. I joined iTHEMS and the Prediction Science Research Team as a postdoctoral researcher, with a strong interest in extreme weather events and their underlying dynamics. My research primarily focuses on understanding and predicting lightning, thunderstorms, and associated hazards across the Indian subcontinent, using a combination of satellite observations, reanalysis data, and advanced modelling techniques.
I’ve also worked extensively with the Weather Research and Forecasting (WRF) model to simulate cloudbursts, hailstorms, and heatwaves over India, integrating high-resolution simulations with observational analysis. I’m passionate about advancing the prediction of extreme events through data assimilation, machine learning, and high-resolution modelling—especially in data-sparse and climate-vulnerable regions.
Outside of research, I enjoy reading books, traveling, and discussing philosophy and culture.
Related Event
Covariance Localization Local ensemble transform Kalman filter (LETKF)
September 10 (Wed) 13:00 - 14:00, 2025 Seminar Data Assimilation and Machine Learning