Meteorology is on the verge of technological breakthrough - accurate weather forecasts will soon become faster, cheaper and more personalized through the use of artificial intelligence. About it writes The Guardian , referring to the research of an international group of scientists published in the journal Nature .
To date, the weather creation process is based on complex multi -level calculations that are performed by powerful supercomputers. They process huge ranges from weather stations, satellites, balloons, ships and aircraft, and the analysis itself lasts for hours. In addition, meteorological centers are forced to involve entire expert teams to develop, support and improve these predictive models.
However, thanks to the Aardvark Weather , this process can undergo dramatic changes. The artificial intelligence system will learn how to process untreated meteodans, automatically creating forecasts without the need to use sophisticated equipment. This means that forecasters will be able to receive accurate information using only a regular computer.
Richard Turner, a professor of machinery at Cambridge University, notes that a new approach opens opportunities for accurate and individual forecasts. For example, technology can be used to calculate temperature fluctuations in Africa agriculture or determine the wind speed for European -energy companies.
Due to the capabilities of machine learning, the forecasting model will eventually be able to predict the weather for eight days in advance with high accuracy, while the forecasters are now limited to a five -day forecast. In addition, the system will be able to make hyperelocalized forecasts - to determine the weather changes for individual streets, areas and facilities.
This breakthrough will not only reduce the load on meteorological centers, but also make the forecasting more accessible, more efficient and accurate. If the technology is successful, the world will be able to avoid weather surprises and respond more effectively to natural disasters.
