Data assimilation is a computational technique used to integrate real-world observational data into mathematical models to improve their accuracy and predictive capabilities. It is widely used in fields like meteorology, oceanography, and climate science to enhance the reliability of forecasts and simulations by continuously updating models with new data inputs.