There is no point in wanting to deny that environmental impacts do not affect the climate. In 2022, the Midwest of Brazil saw cold weather in August — the month that is usually the hottest of the year. Meanwhile, normally frigid Europe is seeing increasingly hot summers.
In this scenario, it is common for weather forecasts fail repeatedly. Today, meteorologists make increasingly complex calculations and simulations to deliver a minimally accurate forecast.
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That is about to change with the help of new Artificial Intelligences (AI). These algorithms will speed up and improve the work of meteorology. This is what two articles published in the journal Nature point out.
One of the articles talks about an AI created by the company Huawei, Pangu-Weather. The system is able to predict weekly weather patterns much faster. And, the best part, the prediction has practically the same percentage of reliability.
The algorithm showed that it was able to anticipate torrential rains quite accurately and in advance. It was said to be 70% faster than traditional methods.
(Image: publicity)
The idea defended is that AI should be used in conjunction with the work that is currently done - and not one to replace the other.
Pangu-Weather uses neural networks trained with 39 years of reanalysis data. Thus, they combine historical and recent observations to have a more complete weather forecast.
NowcastNet is able to predict extreme rainfall up to 3 hours in advance, an extremely complex task.
NowcastNet uses data collected by different weather radars, satellites and sensors and mainly applies principles of physics. According to researchers, this gives you a broader view of the climate.
This is just the beginning of a long journey. Who knows what will be possible to predict in the future? And who knows what the weather will be like in the next few years? It is a fact that we will need all the help we can get from technology.
Graduated in Social Communication at the Federal University of Goiás. Passionate about digital media, pop culture, technology, politics and psychoanalysis.
