Data Assimilation and Dynamical Systems in Earth Sciences

Explore the intersection of data assimilation and dynamical systems in Earth sciences through this comprehensive lecture. Delve into the mathematical approach used by leading operational weather forecast centers worldwide to estimate accurate atmospheric states and uncertainties. Learn how data assimilation methodologies extend beyond weather prediction to monitor and understand climate variability through historical data reanalysis. Discover the application of these techniques in investigating processes within Land, Atmosphere, and Ocean domains. Gain insights into the fundamental concepts, various data assimilation methods, uncertainty estimation techniques, and the utilization of satellite and remote sensing observations. Understand the diverse applications of data assimilation in land surface studies, oceanography, atmospheric composition, and reanalysis efforts. This lecture, presented by Amit Apte at the International Centre for Theoretical Sciences, provides a valuable foundation for researchers and scientists interested in advancing their knowledge in this crucial field of Earth sciences.