Sea-level rise is one of the most visible signs of climate change, one that is threatening low-lying coastal communities around the world. Today, live in coastal areas; about 100 million live within 1 meter (3.3 feet) of sea level, highly exposed to coastal flooding.
Over the long term, when it comes to future sea-level rise, one place matters more than any other: Antarctica.
The frozen continent holds enough ice to raise global sea level by . Yet on a fundamental question: Will Antarctica gain more ice than it loses this century or lose more ice than it gains?
In a new study published in the scientific journal , at hundreds of thousands of potential futures and the impact of each on the ice sheet.
We found that Antarctica’s ice loss this century is locked in – even if the world limits global warming to 1.5 degrees Celsius (2.7 degrees Fahrenheit), the 2015 international most ambitious goal.
Why the Antarctic ice sheet is so hard to predict
The Antarctic ice sheet’s future depends on a chain of events.
from vehicles, coal- and natural gas-fueled power plants and other sources around the world determine how much the ocean and air around Antarctica warms. That warming shapes how ice shelves around the continent’s margins melt, and how quickly the glaciers behind them slide over the bedrock. When those ice shelves thin or collapse, studies show the .
Each step relies on assumptions that scientists have yet to agree on, such as . Different assumptions give different answers, and because each step feeds the next, the differences grow – what scientists call cascading uncertainty. As a result, research teams around the world can’t agree on whether Antarctica will gain or lose ice this century.
Snow is part of the puzzle. Warmer air holds more moisture, . In some projections, that extra snow outweighs the ice lost to the warming ocean, and the ice sheet actually grows.
Auditioning possible futures
A big reason for this persistent disagreement involves the cost of computing.
Each ice-sheet simulation runs with just one set of assumptions for every step in the chain, from how much greenhouse gas we emit to how the ice behaves. One run can keep a supercomputer busy for days, so no team can test every plausible combination.
Our team of data scientists, glaciologists and oceanographers took a shortcut. An international project called the Ice Sheet Model Intercomparison Project, or , has built a large archive of Antarctic simulations showing how the ice responds under different circumstances. We trained a physics-informed machine learning model on that archive to learn how each simulation’s outcome depends on its physical assumptions, such as how easily ice slides over bedrock. The machine learning model does in a fraction of a second what took the original models days, predicting sea-level change with similar accuracy.
That speed let us run millions of combinations and check hundreds of thousands of possible futures against that weigh the ice sheet from space by sensing tiny changes in Earth’s gravity. Only scenarios that were able to match what the satellites have seen since 2002 made the cut.
The scenarios that did make the cut point one direction: Antarctica will , even if humanity is able to .
That means Antarctica will that’s already being driven by melting of the Greenland ice sheet and mountain glaciers and from warming ocean temperatures that cause water to expand.
What a clearer forecast can do
The biggest lessons from our study are that greenhouse gas emissions matter and . Every ton of greenhouse gas that humans can avoid releasing today reduces how much ice Antarctica loses this century, and the benefit – slower and less sea-level rise – lasts for hundreds of years.
In a scenario with very high emissions, our results show a potential faster domino effect. A fast-warming ocean thins the ice shelves, weakened shelves break apart, and glacier ice flows into the ocean faster. Each step makes the next one easier. Together, these steps could add up to 10 inches (25 centimeters) of sea-level rise from Antarctica alone by 2100 – .
Of more than 20 physical assumptions about Antarctica, three matter most for understanding future sea-level rise: to a warming ocean, , and . Gaining a better understanding of these processes would do the most to sharpen sea-level projections.
What’s still missing
Our study is far from the final word.
Some processes are missing from today’s simulations, so our machine learning model can’t learn about them – for example, , and how change over time. Any of these could change our understanding of how quickly Antarctica’s ice reaches the sea and whether coastal communities have enough time to adapt.
What our study does offer is a much faster way to test combinations of assumptions that are too costly to simulate one by one. That provides a clearer basis for the decisions coastal communities around the world are already having to make.
Original article


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