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Explore satellite data assimilation techniques in this comprehensive lecture from 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 satellite and remote sensing observations are integrated with short-range forecasts to improve weather prediction, climate monitoring, and understanding of land, atmosphere, and ocean processes. Gain insights into fundamental data assimilation theory, various methods including Optimal Interpolation, 3D-Var, 4D-Var, Kalman filter, and Ensemble Kalman Filter techniques, as well as uncertainty estimation. Discover the applications of data assimilation in land surface studies, oceanography, atmospheric composition, and reanalysis efforts. This lecture, presented by Fiona Smith at the International Centre for Theoretical Sciences, is part of a two-week workshop aimed at addressing the scarcity of well-trained scientists in the field of data assimilation.
