Meteorological models are computer programs that simulate the atmosphere to predict weather conditions. They use mathematical equations to represent physical processes, such as air movement, temperature changes, and moisture levels. By analyzing data from various sources, like satellites and weather stations, these models help meteorologists forecast weather patterns and understand climate changes. These models can vary in complexity, from simple ones that predict local weather to advanced global models that analyze climate trends over decades. Tools like the Global Forecast System (GFS) and European Centre for Medium-Range Weather Forecasts (ECMWF) are examples of sophisticated meteorological models used worldwide to improve our understanding of weather and climate.