That's not the way it works. Satellites photograph such atmospheric phenomena as cloud movement. Weather forecasters watch as the clouds move, generally from west to east although hurricane clouds move across the Atlantic from eas to west. As they see the weather approaching an area, they can PREDICT how the weather will be based on how fast it's moving. Just like you can see a car coming down the street at a steady rate of speed, you can predict how long it will take for the car to run you down. You get out of the way -- people take cover form bad weather.
Satellites do not predict blizzards on their own. They are used to collect data on weather patterns, including temperature, precipitation, cloud cover, and wind movement, which meteorologists use to make forecasts, including predicting blizzards. The data from satellites combined with other weather data helps to provide more accurate predictions of blizzards.
Make predictions
Satellites are used by meteorologists to collect data on weather patterns, such as temperature, cloud cover, and precipitation from space. This data is crucial for weather forecasting, monitoring severe weather events, and tracking climate changes. Satellites provide a global view of the Earth's atmosphere and enable meteorologists to make more accurate predictions.
Large computers process the information and make predictions.
predict them!
You can use it to make trades based on your predictions. Some systems may also help you make predictions.
Knowledge, experience, and our ability to extrapolate past trends into the future help to make predictions about the future, but do not guarantee those predictions will come to pass.
yes
Not adjusting your predictions as you read
Meteorologists use satellites, radar, current weather patterns, several tools (such as weather balloons or weather planes), etc. to predict the weather.
Meteorologists use satellites, radar, current weather patterns, several tools (such as weather balloons or weather planes), etc. to predict the weather.
...to make predictions. Scientists will then compare their predictions to what happens in the real world. If their predictions equaled what happened in reality, the model is good. If the predictions were different, the scientists know they have to refine the model to better predict what will happen.