Also there are an increasing number of weather apps fed by different data providers and each can use different methods to display the forecast.
As computer technology evolves, particularly processing speed, we will be able to capture more and more observations. These will be put into ever more complex equations, churning out forecasts for ever smaller areas more quickly. This should lead to more accurate forecasts looking out further into the future. Forecasters set for 'billion pound' supercomputer. How do I know if it's going to rain? The birth of the weather forecast. Image source, Getty Images. How do you forecast the weather?
Why are weather forecasts sometimes wrong? Four ways to stop flooding How do I know if it's going to rain? Why is some weather so hard to forecast? This video can not be played To play this video you need to enable JavaScript in your browser. Weatherman Simon King explains how raw data is turned into a weather forecast.
Most people are familiar with thermometers, barometers, and anemometers for measuring temperature, air pressure, and wind speed, respectively. Meteorologists use other tools, as well. For example, weather balloons are special balloons that have a weather pack on them that measures temperature, air pressure, wind speed, and wind direction in all the layers of the troposphere.
Picture courtesy of Mike Theiss, ExtremeNature. The weather balloon rises high into the air, recording atmospheric data throughout the trip. Meteorologists also use satellites to observe cloud patterns around the world, and radar is used to measure precipitation. All of this data is then plugged into super computers, which use numerical forecast equations to create forecast models of the atmosphere. These forecast models can be both correct and incorrect, so meteorologists must be careful and determine whether they agree with the model or not.
If the meteorologists disagree with the model, then they must determine a different outlook for their forecast. Image courtesy of WrightWeather. Monitoring the data from all of these tools allows meteorologists to track changes in the weather through time.
Based on what you observed in the past, what do you think you will be doing in the future, specifically on October 31st? In other words, Halloween may occur on October 31st every year, but you may not necessarily wear the same costume or choose the same route to trick-or-treat. A snow storm may set up a similar pattern to one in the past, but produce a different amount of snow in a different part of the state. It provides space weather alerts and forecasts while also monitoring the amounts of solar energy absorbed by Earth every day.
These factors are important in making air quality forecasts. Polar orbiting satellites provide the information most useful for long-term weather forecasting. These satellites use instruments to measure energy, called radiation, emitted by the Earth and atmosphere.
This information is incorporated into weather models, which in turn leads to more accurate weather forecasts. Other instruments can also be used to map sea surface temperature—an important factor in long-term weather forecasting. Polar orbiting satellites monitor the whole Earth. This map, created with data from a polar orbiting satellite called Suomi-NPP, shows warm sea surface temperatures in orange and cold temperatures and high cloud tops in magenta.
This information is important for long-term forecasting. The satellite performs these accurate measurements all around the globe twice per day. This flood of data is what helps weather forecasters to reliably predict the weather up to 7 days in advance.
Polar orbiting satellites collect essential information for the models that forecast severe weather like hurricanes, tornadoes and blizzards days in advance.
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