Hands-on Data Assimilation for Real World Models

Explore hands-on data assimilation techniques applied to real-world models in this comprehensive lecture. Gain practical insights into implementing data assimilation methodologies used by leading operational weather forecast centers worldwide. Learn how to estimate accurate atmospheric states and associated uncertainties by integrating observations and short-range forecasts. Discover the versatile applications of data assimilation beyond weather prediction, including climate monitoring, reanalysis of historical data, and investigations in Land, Atmosphere, and Ocean domains. Develop skills in various data assimilation methods such as Optimal Interpolation, 3D-Var, 4D-Var, Kalman filter, and Ensemble Kalman Filter techniques. Understand uncertainty estimation through ensemble data assimilations and explore the utilization of satellite and remote sensing observations in the process.

Hands on Data Assimilation on Real World Model  by Jyoti Bhate