Nvidia scientists in America have created a “digital twin” of Earth that can predict the weather faster than traditional services. The system, known as Earth-2, uses graphics processing units (GPUs) to carry out high-speed mathematical equations, enabling tasks like machine learning.
The platform utilizes machine learning technologies and a supercomputer to create a virtual replica of Earth’s climate. It allows users to run simulations of weather and climate across the planet, with a high level of detail down to 2 km. The AI technology is trained on global data sets to estimate climate changes over the past 50 years.
Earth-2 quickly generates potential outcomes and calculates the probability of weather conditions in specific locations, providing real-time predictions within seconds. Its ability to process vast amounts of data makes it an invaluable tool for forecasting extreme weather events in places like Taiwan, where severe weather is common.
Taiwan’s weather agency has already started testing Earth-2 this year to forecast and plan for extreme weather events. Its ability to quickly sift through data and provide real-time predictions could save lives and prevent damage in the face of severe weather events.
