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Why do climate models underestimate polar warming? 'Invisible clouds' could be the answer

Stratospheric clouds
Plane in polar stratospheric clouds. Credit: Unsplash/CC0 Public Domain

Stratospheric clouds over the Arctic may explain the differences seen between the polar warming calculated by climate models and actual recordings, find researchers from UNSW Sydney.

The Earth's average surface temperature has increased drastically since the start of the Industrial Revolution, but the effect seen at the poles is even more exaggerated. While existing climate models consider the increased heating in the Arctic and Antarctic poles, they often still underestimate the warming in these regions. This is especially true for climates millions of years ago, when greenhouse gas concentrations were very high.

This is a problem because future climate projections are generated with these same models: if they do not produce enough warming for the past, we might underestimate polar warming—and therefore the associated risks, such as or permafrost melting—for the future.

This missing information caught the attention of scientists from the UNSW Climate Change Research Center.

"During my Ph.D., I was drawn to the fact that the climate models we are using do not represent the magnitude of warming that happens in the Arctic," says Dr. Deepashree Dutta, who completed her Ph.D. at UNSW and led this latest study.

"At the same time, we knew that the majority of these models do not represent the upper layers of the atmosphere very well. And we thought this might be a missing link."

So the team turned their focus to a key atmospheric element which is missing in most models—polar stratospheric clouds—and found that they can explain a large part of the missing warming in models.

"This study, published Nov. 7 in Nature Geoscience, shows that we still have much to learn about the climate of the past, present and the future" says Dr. Martin Jucker, from the UNSW Climate Change Research Center, who co-authored the study.

Discrepancies between actual and modeled global warming

Climate models are computer simulations of our global climate system that are built using our theoretical understanding of how the climate works. They can be used to recreate past conditions, or predict future climate scenarios.

Climate models incorporate many factors that influence the climate, but they cannot include all real-world processes. One consequence of this is that generally, climate models simulate polar climate change that is smaller than actual observations.

"The more detail you include in the model, the more resources they require to run," says Dr. Jucker. "It's often a toss-up between increasing the horizontal or vertical resolution of the model. And as we live down here at the surface of the earth, the detail closer to the surface is often prioritized."

Thinking outside the box

In 1992, American paleoclimatologist Dr. Lisa Sloan first suggested that the extreme warming at during past warm periods may have been caused by polar stratospheric clouds.

Polar stratospheric clouds form at very high altitudes (15–25 km above the Earth's surface), and at very low temperatures (over the poles). They are also called nacreous or mother-of-pearl clouds because of their bright and sometimes luminous hues, although they are not normally visible to the naked eye.

These polar stratospheric clouds have a similar effect on climate as greenhouse gases—they trap heat which would otherwise be lost to space, and warm the surface of the Earth.

"These clouds form under complex conditions, which most climate models cannot reproduce. And we wondered if this inability to simulate these clouds may result in less surface warming at the poles than what we've observed in the real world," says Dr. Dutta.

So 30 years after Dr. Sloan's research, Dr. Dutta wanted to test this theory using one of the few atmosphere models that incorporate polar atmospheric clouds, to see if they might explain the disparities in warming between observational data and climate models.

"I wanted to test this theory by running an atmospheric model that includes all necessary processes with conditions that resembled a time period over 50 million years ago, known as the early Eocene. It was a period of Earth's history when the planet was very hot and the Arctic was ice-free throughout the year," says Dr. Dutta.

The Eocene was also a period characterized by high methane content, and the position of continents and mountains was different to today.

"Climate models are far too cold in the polar regions, when simulating these past hot climates, and this has been an enigma for the past thirty years," says Dr. Jucker. "The early Eocene was a period in the Earth's climate with extreme polar warming, so presented the perfect test for our climate models."

Climate of the deep past and future projections

The team found that the elevated methane levels during the Eocene resulted in an increase in polar stratospheric cloud formation. They found that under certain conditions, the local surface warming due to stratospheric clouds was up to 7°C during the coldest winter months. This temperature difference reduces the gap between climate models and temperature evidence from climate archives significantly.

By comparing future simulations to simulations of the Eocene, the study also discovered that it isn't just methane that was needed to produce polar stratospheric clouds. "This is another key finding of this work," says Dr. Dutta. "It's not just methane, but it's also the Earth's continental arrangement, which plays a very important role in forming these stratospheric clouds. Because if we input the same amount of methane for our future climate, we do not see the same increase in stratospheric clouds."

The research has provided some of the answers to questions about the climate of the deep past, but what does that mean for future projections?

"We found that stratospheric clouds account for the accelerated warming at the poles that is often left out of our climate models, and of course this could potentially mean that our future projections are also not warm enough," says Dr. Jucker. "But then the good news is that these clouds are more likely to form under the continental arrangement that was present tens of millions of years ago, and is not found on Earth now. Therefore, we don't expect such large increases in in the future."

This new research has not only helped to provide a piece of the puzzle as to why temperature recordings in the Arctic are always warmer than climate models—it has also provided new insights into the Earth's past climate.

"Our study shows the value of increasing the detail of climate models, where we can," says Dr. Dutta. "Although we already know a lot about these clouds theoretically, until we include them in our , we won't know the full scale of their impact."

More information: Deepashree Dutta et al, Early Eocene low orography and high methane enhance Arctic warming via polar stratospheric clouds, Nature Geoscience (2023). DOI: 10.1038/s41561-023-01298-w

Journal information: Nature Geoscience

Citation: Why do climate models underestimate polar warming? 'Invisible clouds' could be the answer (2023, November 8) retrieved 25 June 2024 from https://phys.org/news/2023-11-climate-underestimate-polar-invisible-clouds.html
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