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Predicting Climate 'Tipping Points' Within Reach, Study Suggests

New research finds that early warning of some impending global warming tipping points may already be possible

By Lisa Song, SolveClimate News

Jul 15, 2011
Greenland ice sheet

After several years of identifying possible climatic "tipping points" such as the meltdown of the West Antarctic ice sheet and widespread tree deaths in the Canadian boreal forest, scientists are beginning to take on another formidable challenge: predicting these potential threats before they occur.

While the mathematical concepts for understanding tipping point signals have been around for decades, they are just beginning to be incorporated into global climate data and models, according to new research published in the journal .

The paper's author, Timothy Lenton, said his study suggests that early warning of some impending tipping points may already be possible.

"[This is the] first time a synthesis of both the basic theory and the latest results on the early warning signals has been brought together," Lenton said in an interview with SolveClimate News.  "I think it's the first time anyone's made the link to how you might translate them to an early warning system."

A tipping point is a threshold at which change suddenly becomes unstoppable and irreversible without drastic action, said Simon Levin, a professor of biology at Princeton University, who uses applied mathematics in his research.

A small shift, he warned, can push the climate system over the edge and trigger calamities, such as a dangerous rise in sea levels from Greenland's ice melt or an Arctic thaw, which would release massive stores of methane into the atmosphere.

Lenton, a professor of earth system science at the University of Exeter, wrote in his paper that the probability of passing a climate tipping point is still seen by scientists as low. But, he said, the likelihood is increasing all the time as global warming continues largely unchecked.

One such tipping point is the potential collapse of the Atlantic Thermohaline Circulation, Lenton said.

Called the Atlantic THC for short, the thermohaline circulation links the tropical oceans to the North Atlantic. It is created when cold water near the pole sinks and travels south, while warm water from the tropics flows north.

The circulation depends on the sinking of cold, dense water at high latitudes, but rising ocean temperatures due to climate change and the input of fresh meltwater from Greenland are making the water less cold and dense. As a result, the strength of the THC could weaken over time.

Lenton said he has reviewed climate models that show the THC slowing down or stopping completely in future decades, which would create weather havoc in Europe.

The THC warms Europe up during the winter months. If it hits its tipping point and shuts down altogether, England and Scandinavia would face more extreme cold in the winters, said Samuel Levis, a project scientist at the (NCAR). This while the region still suffers climate-induced extreme heat events in the summer.

Several climate models revealed the presence of warning signals as the THC neared its tipping point. One of these models, GENIE-2, is a complex computer simulation that Lenton helped design. GENIE-2 incorporates a dynamic atmosphere connected to the ocean, said Lenton, making it a more realistic representation of reality.

In a previous paper, researchers ran the GENIE-2 model by forcing freshwater into the system until the THC slowed and stopped. Before it reached the tipping point, scientists found that the system became "sluggish" — or slow to recover from mild changes — explained Lenton.

An extra "nudge" from the atmosphere in the form of heavy rainfall in the North Atlantic, for example, temporarily weakened the circulation, as expected. But as the system approached the tipping point the circulation took longer to recover from the nudge.

These results have already been published, explained Lenton. "What hasn't been done before is a careful assessment of how robust the results are." In his new paper, Lenton showed the findings are sound by running the early warning methods thousands of times with different statistical parameters.

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