Data Assimilation - Basic Theory - Lecture 2

Explore the second lecture in a series on Data Assimilation – Basic Theory, delivered by Varahan as part of the Workshop on Data Assimilation in Weather and Climate models. Delve into the mathematical approach used by leading operational weather forecast centers to estimate accurate atmospheric states and uncertainties. Learn how data assimilation integrates observations and short-range forecasts, and discover its applications beyond weather prediction, including climate monitoring and understanding through historical data reanalysis. Gain insights into the crucial role of data assimilation in investigating processes within Land, Atmosphere, and Oceans. This comprehensive lecture is part of a two-week workshop aimed at addressing the scarcity of well-trained scientists in data assimilation, covering fundamental concepts, various methods like Optimal Interpolation and Kalman filter techniques, uncertainty estimation, and the utilization of satellite and remote sensing observations.

Data Assimilation – Basic Theory (Lecture 2) by Varahan