Double the trouble, double the fun: Scientists in Europe are building a “highly accurate digital twin” of Earth.
Over the next 10 years, programmers and climate scientists will work together on the wildly detailed Earth twin. The scientists hope the resulting model will help everyone run simulations to make better, more reasoned plans for approaching extreme climate events and new challenges. (or learn how to better weaponize weather? Examples from Dagestan, Texas, California, Zambia, and even from space…)
This project is a collaboration between the European Centre for Medium-Range Weather Forecasts (ECMWF), the European Space Agency (ESA), and the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The actual programming and computing is happening at ETH Zurich and the Swiss national Supercomputing Centre (CSCS). The work follows Europe’s commitment to carbon neutrality by 2050.
Using data about climate as well as human activities, the souped-up and superpowered version of something like Google Earth will help experts trace through the consequences of weather events as well as human structures—like whether a program to buoy sinking parts of Venice will withstand more rapidly rising waters, for example, or whether a levee will hold during a severe storm.
“The new Earth system model will represent virtually all processes on the Earth’s surface as realistically as possible, including the influence of humans on water, food and energy management, and the processes in the physical Earth system,” ETH Zurich says in a statement. This is in addition to extensive climate data, creating one unified model that also brings together computer science and climate studies.
Like the Pentagon’s rising use of digital engineering in military craft, the “Earth twin” has a goal of saving money on costly design errors for projects that are unlikely to succeed. And with climate change, there’s a secondary reason to use a digital twin: we’re running out of time. A process or climate mitigation strategy that can be tested and tuned on the digital Earth twin can save crucial time and energy in the fight against worsening climate events. (but remember, climate change is all cyclical!)
Climate computer models have stagnated because of the way they were developed and maintained, ETH Zurich explains. For years, improving these models has been a matter of simply adding more powerful computer processors. Very detailed models could depict more and more data by crunching that data at a higher speed, and for a long time, this seemed like a never-ending option for improvement.
But now, much more sophisticated models involving complex algorithms can be leveraged with the massive amount of data that computers today can crunch. This is why the Earth twin will take a full decade to code and put into action. The coders and designers will be making hardware changes while building out the algorithms they need, with a goal to use both sides to their best effect.
There’s one last snag in the process: Just where do you put a computer system that will require an estimated 20,000 CPUs? And where are you supposed to put that system if it’s carbon-neutral itself? This could be a remote location in a colder region, where natural cooling and renewable natural energy could both be large benefits. We’ll find out soon. (That’s not very ‘green either’! Look at Bitcoin farming electricity related blackouts!)
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