Related topics: satellite · weather

Second laser boosts Aeolus power

ESA's Aeolus satellite, which carries the world's first space Doppler wind lidar, has been delivering high-quality global measurements of Earth's wind since it was launched almost a year ago. However, part of the instrument, ...

Sudden turbulence that injured dozens is hard to predict

Passengers on a flight from Canada to Australia said they had no warning about turbulence that suddenly slammed people into the ceiling of the plane and injured more than three dozen—a phenomenon that experts say can be ...

COSMIC-2 soars into orbit aboard SpaceX Falcon Heavy rocket

COSMIC-2, a mission of six satellites designed to improve weather forecasts and space weather monitoring, blasted into orbit at 2:30 a.m. ET today, June 25, from Cape Canaveral, Florida, aboard a SpaceX Falcon Heavy rocket.

Solar activity forecast for next decade favorable for exploration

The last astronauts of the Apollo program were lucky. Not just because they were chosen to fly to the moon, but because they missed some really bad weather en route. This wasn't a hurricane or heat wave, but space weather—the ...

Recognising sustainable behaviour

Solving the growing problem of space debris will require everyone who flies rockets and satellites to adhere to sustainable practices, which doesn't always happen. Now there will be a way to recognise those who do.

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Weather forecasting

Weather forecasting is the application of science and technology to predict the state of the atmosphere for a future time and a given location. Human beings have attempted 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.

Once an all human endeavor based mainly upon changes in barometric pressure, current weather conditions, and sky condition, forecast models are now used to determine future conditions. 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 chaotic nature of the atmosphere, the massive computational power required to solve the equations that describe the atmosphere, error involved in measuring the initial conditions, and an incomplete understanding of atmospheric processes mean that forecasts become less accurate as the difference in 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 the wind chill, forecasts can be used to plan activities around these events, and to plan ahead and survive them.

This text uses material from Wikipedia, licensed under CC BY-SA