Why the forecast sometimes differs from the actual weather conditions
- Incomplete data
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Weather stations and satellites only register part of atmospheric data, which is not sufficient to fully simulate the current state of the atmosphere. In addition, they collect data not covering the entire world. For example, weather stations are located not on top but at the foot of mountains, so they transmit data that does not take into account the altitude.
- Simplified predictive models
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To make a weather forecast, researchers simulate the state of the atmosphere, which is constantly changing. As it is impossible to consider every change, meteorologists simplify prediction models.
- Possible measurement errors
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Weather events are highly unstable, so even a small error in measurements may result in an inaccurate forecast.
Meteorological companies make the most accurate forecasts for the current day and the next day. For each subsequent day, the accuracy of the forecast decreases.
Meteum uses machine learning algorithms to make weather forecasts. They help the service analyze the previous forecasts and adjust the formulas. As a result, new forecasts become more reliable. If the forecast for your city doesn't match the actual weather, Meteum automatically detects the discrepancy and calculates a new formula for future forecasts.