Since its creation in 1998, Google transformed radically our digital daily life. The giant of Silicon Valley first revolutionized online search with its algorithm PageRankbefore upsetting the cartography with Google Mapsto reinvent data storage with Google Driveand democratize cloud computing for businesses. Each Google innovation has marked a major technological turning point, redefining industry standards and user expectations. This ability to push the limits of the possible today finds a new field of expression: meteorology.
Unprecedented precision thanks to artificial intelligence
The arrival of GenCast marks a technological breakthrough in the field of weather forecasting. This artificial intelligence developed by Google manages to generate forecasts over fifteen days in just eight minutes, whereas traditional methods require several hours of calculation. By analyzing temperature, wind speed and atmospheric pressure data collected since 1979, GenCast makes exceptionally reliable predictions. Tests carried out on 1,320 climatic events in 2019 demonstrate 97% greater accuracy than that of the European Center for Medium-Range Weather Forecasts, a global benchmark which provides its services to 35 countries. The forecasts of GenCast would particularly excel in anticipating extreme phenomena: heatwaves, intense cold waves and violent winds.
Meteorology at the dawn of digital transformation
This technological advance foreshadows a profound transformation of the meteorologist profession. Artificial intelligence will not replace human experts, but will provide them with tools of unparalleled power. The speed and precision of GenCast will allow professionals to devote more time to detailed analysis of data and communication of weather risks. This innovation also opens the way to new practical applications, particularly in the sectors of agriculture, aviation and natural disaster management. The arrival of GenCast illustrates how artificial intelligence, by increasing analysis and prediction capabilities, makes it possible to approach major technological challenges differently.
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