A digital twin is a virtual replica of a physical object, person or process which can be used to simulate its behavior and better understand how it works in real life.
Digital twins are linked to real data sourceswhich means that the twin updates in real time to reflect the original version.
It means we can observe environmental challenges that can help us predict future scenarios, something we have never been able to do before.
They are already being used in the construction, energy and industrial sectors to assist in design and decision-making processes.
Simulation
The terrestrial digital twin of the European Union, also known as DestinEwill allow decision makers to test different scenarios based on the possible impacts of extreme weatherFor example, what effect a heat wave would have on a world that has warmed 2°C above the industrial level. levels, and how that changes if the warming is then 4°C.
Sectors affected by extreme events and climate change, such as agriculture, forestry, renewable energy, public health or water resources, will be able to adapt the twin’s data, services and tools to their needs, and consider and test different options in response to climate impacts.
The system, valued at 315 million euros, will use high performance computers, including the LUMI supercomputer in Kajaani, Finland. Its about Europe’s fastest and most energy efficient supercomputerand one of the most powerful in the world, combined with artificial intelligence to simulate the effects of climate change and extreme weather events.
You will also use a large number of other data sourcesincluding the Copernicus satellites and the European Union space programme.
‘Inflection point’
DestinE is now operational and is expected to continually evolve, expanding its operations and adding new components until 2030, when a digital replica of the Earth will be complete.
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Margrethe Vestager, executive vice president of Europe Fit for the Digital Agestated: “The launch of “DestinE represents a true turning point in our fight against climate change.”.
“It means we can look at environmental challenges that can help us predict future scenarios, like we’ve never done before,” he said.
