Data assimilation techniques

Data assimilation techniques are methods used to combine real-world observations with computer models to improve their accuracy. Think of it like updating a forecast: as new weather data arrives, these methods adjust the model's predictions to better reflect current conditions. They help scientists and engineers make more reliable decisions in fields like weather forecasting, oceanography, and environmental monitoring. By intelligently merging actual measurements with model outputs, data assimilation provides a clearer, more accurate picture of complex systems in real time.