Numerical Weather Prediction Methods

Explore numerical weather prediction methods in this comprehensive lecture by A. Chandrasekar from the International Centre for Theoretical Sciences. Delve into the mathematical approaches used by leading operational weather forecast centers worldwide to estimate accurate atmospheric states and uncertainties. Learn about data assimilation techniques, their applications in weather and climate modeling, and their importance in monitoring climate variability. Discover key topics including fundamental concepts, various data assimilation methods like Optimal Interpolation and Kalman filters, uncertainty estimation, utilization of satellite and remote sensing observations, and applications in land surface studies, oceanography, and atmospheric composition. Gain insights into this crucial field of research and its role in advancing weather forecasting and climate understanding.