Our hands have much more control over the weather, especially when it comes to rain and mud. A possible storm, rain or hail can even mean that we sometimes have to postpone our work. But the frustrating thing right now is: In the weather forecast we see that there will be light rain and after a short time we are soaked.

What about weather apps? Why do things sometimes go wrong?

In fact, this problem is caused by meteorology and not phone applications.

Although the study of weather events and the predictions made in this direction are related to science, they are also in a sense It requires long-term experience. There is no computer or algorithm that can predict the weather with 100% accuracy.

Essentially, instead of a single algorithm, there are different forecast models and different interpretations of the data that can create different weather forecasts for the same city. Data collected from various sources, It is processed using not one but several algorithms.

But experts do not disclose which data from which applications or which algorithms they use or how often they retrieve the data Some erroneous measurements occur. For example, an app like Dark Sky may show rain during the day, while AccuWeather only shows cloudy weather.

Phone apps collect weather data from various sources.

The Weather Channel is the most advanced of these sources. That’s what consultants who analyzed several forecasting companies say, The Weather Channel It regularly shows the most accurate weather forecast, at around 82%.

But still this 18% are wrong It means. So the weather forecast shown on 1.5 days out of 7 is not accurate and there is not much the phone companies can do about it.

Achieving near-perfect forecasts often requires the expertise of local meteorologists with years of experience in a particular region.

This accumulation of knowledge; weather models from national weather companies predict with almost perfect accuracy. Allows. But the problem is that there is no way yet to compile these highly accurate local predictions.

Companies like The Weather Channel tend to make less accurate weather forecasts themselves They insist that they do not rely on local businesses.

For this reason, forecasts such as storms or rain are sometimes not accurate.

In fact, the algorithms and applications explored are getting better every day. The main reason for this is that this has happened over the years More and more detailed data is being included in the algorithms.

When it comes to temperature, the predictions are much closer to reality, but… in rain or storm It would make much more sense to trust local meteorologists.

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