Data Assimilation - Kalman Filter - Lecture 7

Explore the intricacies of data assimilation techniques in this comprehensive lecture on the Kalman Filter. Delve into the seventh installment of a workshop series focused on Data Assimilation in Weather and Climate Models, presented by Varahan at the International Centre for Theoretical Sciences. Learn about the mathematical approach used by leading operational weather forecast centers worldwide to estimate accurate atmospheric states and uncertainties. Discover how the Kalman Filter integrates observations and short-range forecasts, and understand its applications beyond weather prediction, including climate monitoring and reanalysis of historical data. Gain insights into this versatile tool's role in investigating processes within Land, Atmosphere, and Oceans. Benefit from expert instruction designed to address the scarcity of well-trained scientists in this field, covering fundamental concepts, various data assimilation methods, uncertainty estimation, and practical applications in atmospheric and oceanic sciences.

Data Assimilation – Kalman Filter (Lecture 7) by Varahan