Weather+Forecasting

Weather forecasting

Weather forecasting is the application of science and technology to predict the state of the atmosphere for the future and this place. Human beings were trying to predict the weather informally for millennia, and formally since at least the nineteenth century. Weather forecasts are made by collecting quantitative data about the current state of the atmosphere and using scientific understanding of atmospheric processes to project how the atmosphere will evolve. 

As soon as all human activities are mainly based on changes in atmospheric pressure, current weather conditions, and sky condition, forecast models are currently used to determine future conditions. Human factor is still necessary to select the best possible prediction models based on the forecast, which includes the recognition of skills and long-distance, knowledge model, performance and knowledge of the model biases. Chaotic atmosphere, the massive computing 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 mean that forecasts become less accurate as the difference between the current time and the time for which the forecast is made (the range the forecast) increases. The use of ensembles and model consensus help reduce errors and to choose the most likely outcome.

There are a variety of end uses for weather forecasts. Weather warnings are important forecasts because they are used to protect life and property. Forecasts based on temperature and precipitation are important for agriculture, and therefore traders in commodity markets. Temperature forecasts are used utility companies to assess the demand for the next few days. On a daily basis, people use weather forecasts to determine what to wear for the day. Since outdoor activities greatly curtailed heavy rain, snow and wind chill, forecasts can be used to plan activities around these events and to plan in advance and go through them.