Department of Observation and Data Assimilation
Our research aims to improve the accuracy of short-range forecasts and to prevent disasters caused by local heavy rainfall and other mesosclae severe weather.
We develop high-resolution data assimilation methods to better estimate the state of the atmosphere as the initial conditions of NWP (Numerical Weather Prediction) by using Observational 'Big-data'.
We also improve the initial conditions of ensemble prediction to prevent the failures in all ensemble members,especially for high-impact weather prediction.
Research on Data Assimilation Technologies and High-level Use of Observation Data