👉 Weather math involves using mathematical models and statistical methods to predict future weather conditions based on current data. These models analyze various parameters such as temperature, humidity, wind speed and direction, atmospheric pressure, and precipitation. By applying equations from physics and fluid dynamics, meteorologists can forecast temperature changes, precipitation likelihood, and wind patterns. Numerical weather prediction (NWP) models use complex algorithms to simulate atmospheric conditions, integrating real-time data from satellites, radar, and ground stations. These predictions are refined through ensemble forecasting, which involves running multiple simulations with slightly varied initial conditions to account for uncertainties and provide a range of possible outcomes.
