Beyond forecasting, weather data is a critical input across sectors.
Energy. Solar and wind generation depend directly on sunlight and wind speed. Machine learning models use weather forecasts to predict renewable output, helping grid operators balance supply and demand. Utilities also forecast electricity demand from temperature data, since heating and cooling drive consumption.
Agriculture. Models combine weather, soil, and satellite imagery to predict yields, schedule irrigation, and flag disease or pest risks, so farmers can time planting and harvesting with more confidence.
Transportation and logistics. Airlines, shipping companies, and delivery fleets use weather-aware models to optimize routes, anticipate delays, and improve safety.
Insurance and finance. Weather data feeds catastrophe models, parametric insurance products, and commodity trading strategies.
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