Weather forecasting is the science of predicting atmospheric conditions based on real-time observations and mathematical models. Using data from satellites, radar, weather stations, and aircraft, modern forecast models simulate how the atmosphere will evolve. Short-term forecasts (1–3 days) are generally accurate, while longer-range predictions become less reliable due to the chaotic nature of weather systems. Although real-time data is key, historical weather records help improve model accuracy, support climate comparisons, and train AI tools. Despite limitations, forecasting continues to improve with advances in computing, data collection, and model refinement.
Barry discusses the effects of inaccurate forecasts as well as discussing the history and means of getting our forecasts in an accurate and timely manner.
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