Grid Point Statistical Interpolation (GSI)

Grid Point Statistical Interpolation (GSI) is a data assimilation technique used in weather forecasting to improve the accuracy of models. It combines observations (like temperature and wind measurements) with the model's current state, using statistical methods to estimate the most probable weather conditions across a grid. GSI adjusts the model based on new data, reducing errors and ensuring forecasts better reflect reality. Essentially, it acts as a sophisticated blending process that continuously updates and improves weather predictions by integrating observed data with model information to produce more reliable forecasts.