Answer:
see below
Step-by-step explanation:
Data gathering: Weather forecasting begins with collecting data on current weather conditions, such as temperature, humidity, wind speed, and pressure. This data is gathered from weather stations, radar, and satellites.
Numerical weather prediction: This involves using mathematical models to simulate the behavior of the atmosphere based on the data gathered. These models take into account the laws of physics, such as the conservation of mass, energy, and momentum, to predict how the weather will change over time.
Data assimilation: This is the process of combining data from various sources, such as weather stations, radar, and satellites, with numerical weather prediction models. This helps to improve the accuracy of the forecast by incorporating the most up-to-date observations.
Pattern recognition: Meteorologists use pattern recognition techniques to identify patterns in the weather data, such as high and low pressure systems, fronts, and storm systems. This helps them to understand the overall weather pattern and make more accurate predictions.
Human interpretation: Weather forecasts are not just based on data and models, but also on the experience and expertise of meteorologists. They use their knowledge of meteorology and weather patterns to interpret the data and models, and to make decisions about what the forecast will be.