Applying AI to Mitigate Global Warming from Contrails

 Flying leaving a contrail behind. Photo from Unsplash.

Explore how Google’s cutting-edge AI technology is planning to tackle the issue

by Patricia Costinhas

August 13, 2023

When you gaze up at the sky and see those long, white lines trailing behind airplanes, you might not think much of them. They can seem like a nonimportant byproduct of air travel but those streaks, known as contrails, are actually contributing to global warming.

Now, a groundbreaking collaborative effort to tackle aviation’s environmental impact is taking place. Google, American Airlines, and Breakthrough Energy are spearheading a revolutionary approach to minimize the aviation industry’s environmental impact. And it all hinges on AI – yes, artificial intelligence is taking to the skies to help tackle a major contributor to climate change: contrails.

What are contrails?

Contrails, short for condensation trails, are those wispy lines that form behind airplanes as they cross the sky. When planes release soot and pollutants into the air, these particles clump together with water vapor, forming contrails. They might look harmless, but they pack a punch to global warming.

How do contrails impact global warming?

Contrails may seem innocuous, but they’re a climatic double-edged sword. During the day, they reflect sunlight back into space, cooling the Earth. However, at night, they wrap the planet in a heat-trapping blanket, contributing to warming. It’s like a delicate weather dance, with contrails playing a pivotal role. In fact, the UN attests that contrails are responsible for a third of aviation’s global warming impact.

How is Google using AI to avoid contrails?

Google teamed up with American Airlines and Breakthrough Energy to chart a more sustainable course for flights. The goal? To help pilots avoid forming contrails by steering clear of humidity-rich zones. Using a combination of satellite imagery and AI, they devised a strategy to predict where contrails are likely to form.  Imagine a big map pointing out how pilots can avoid flying planes through certain altitudes and consequently avoid forming contrails.

American Airlines pilots tested the new contrail-avoidance routes during 70 flights over six months. They adjusted altitudes based on AI predictions to steer clear of contrail-prone areas. The outcome was a 54% reduction in contrails compared to flights where pilots didn’t use the AI-informed routes. It’s a small shift that could have big impacts in the aviation industry’s fight against climate change.

A long-term solution

While the test flights did consume 2% more fuel, Google assures the public that when spread across an entire airline’s fleet, this uptick amounts to only around 0.3%. That’s a tiny trade-off for the potential climate benefit of avoiding contrails. In fact, experts estimate that the cost per ton of CO2 emissions avoided could range from $5 to $25, making it an impressively cost-effective solution.

The implications are as clear as a sunny day – this breakthrough AI technology could revolutionize aviation’s climate impact. The contrail-busting strategy costs just a tiny fraction more in fuel expenses, and Google plans to expand its contrail prediction models to cover more regions. The goal is to make contrail avoidance a widespread reality, contributing to a greener future for aviation.

In the quest for a greener planet, Google’s AI-powered contrail evasion is set to become a game-changer for aviation. So, next time you board a plane, know that beyond the cloud-dappled skies, AI might already be working behind the scenes to clear the way for a more sustainable flight. Google’s contrail-dodging AI is a testament to how technology and innovation can team up to address some of our planet’s most pressing challenges. The contrail puzzle might just be on its way to a solution, one flight at a time. As technology and sustainability converge at thousands of feet, the sky truly is the limit.

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This article was originally published on IMPAKTER. Read the original article.

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