Meteorology is on the verge of a technological breakthrough – accurate weather forecasts will soon become faster, cheaper and more personalized thanks to the use of artificial intelligence. This is reported by The Guardian , citing a study by an international group of scientists published in the journal Nature .
Today, weather forecasting is based on complex, multi-level calculations performed by powerful supercomputers. They process huge amounts of data from weather stations, satellites, balloons, ships and aircraft, and the analysis itself takes hours. In addition, meteorological centers are forced to recruit entire teams of experts to develop, maintain and improve these forecast models.
But thanks to the Aardvark Weather , this process could change dramatically. An artificial intelligence-based system will learn to process raw weather data, automatically generating forecasts without the need for super-sophisticated hardware. This means that forecasters will be able to get accurate information using just a regular computer.
Richard Turner, a professor of machine learning at the University of Cambridge, says the new approach opens up possibilities for precise and personalized predictions. For example, the technology could be used to calculate temperature fluctuations in African agriculture or determine wind speeds for European wind energy companies.
Thanks to machine learning capabilities, the forecasting model will eventually be able to predict the weather eight days in advance with high accuracy, whereas forecasters are currently limited to five-day forecasts. In addition, the system will be able to make hyperlocal forecasts - identifying weather changes for individual streets, neighborhoods and objects.
This breakthrough will not only reduce the burden on meteorological centers, but also make forecasting more accessible, efficient and accurate. If the technology is successfully tested, the world will be able to avoid weather surprises and respond more effectively to natural disasters.
