Es la aplicación de tecnología y de ciencia para predecir el estado de la atmósfera para un período futuro y una localidad o región dada. La historia del pronóstico del tiempo es milenaria, aunque los paradigmas y las técnicas usadas han cambiado significativamente. Los pronósticos se hacen colectando tantos datos como sea posible acerca del estado de la atmósfera (particularmente temperatura, presión atmosférica, vientos, humedad y precipitaciones) y usando conocidos procesos atmosféricos (a través de la meteorología) para determinar los patrones futuros atmosféricos. Sin embargo, la naturaleza compleja de los fenómenos atmosféricos y el entendimiento incompleto de los patrones y procesos meteorológicos hacen que los pronósticos sean menos seguros al incrementarse el rango temporal del pronóstico.

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Weather forecasting is the application of science and technology to predict the state of the atmosphere for a given location. Human beings have attempted to predict the weather informally for millennia, and formally since the nineteenth century. Weather forecasts are made by collecting quantitative data about the current state of the atmosphere at a given place and using scientific understanding of atmospheric processes to project how the atmosphere will change. Once an all-human endeavor based mainly upon changes in barometric pressure, current weather conditions, and sky condition, weather forecasting now relies on computer-based models that take many atmospheric factors into account. Human input is still required to pick the best possible forecast model to base the forecast upon, which involves pattern recognition skills, teleconnections, knowledge of model performance, and knowledge of model biases. The inaccuracy of forecasting is due to the chaotic nature of the atmosphere, the massive computational power required to solve the equations that describe the atmosphere, the error involved in measuring the initial conditions, and an incomplete understanding of atmospheric processes. Hence, forecasts become less accurate as the difference between current time and the time for which the forecast is being made (the range of the forecast) increases. The use of ensembles and model consensus help narrow the error and pick the most likely outcome. There are a variety of end uses to weather forecasts. Weather warnings are important forecasts because they are used to protect life and property. Forecasts based on temperature and precipitation are important to agriculture, and therefore to traders within commodity markets. Temperature forecasts are used by utility companies to estimate demand over coming days. On an everyday basis, people use weather forecasts to determine what to wear on a given day. Since outdoor activities are severely curtailed by heavy rain, snow and wind chill, forecasts can be used to plan activities around these events, and to plan ahead and survive them.

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