You know what I think of when I read stories like this?
The pace of change [in the polar ice caps] has far exceeded what had been estimated by almost all the simulations used to envision how the Arctic will respond to rising concentrations of greenhouse gases linked to global warming. But that disconnect can cut two ways. Are the models overly conservative? Or are they missing natural influences that can cause wide swings in ice and temperature, thereby dwarfing the slow background warming?
I think of the Atlantic Cod. These fish used to be everywhere. (Once upon a time, they were considered the cash crop of the ocean. Spanish fishing vessels would trek across the Atlantic just to fish the abundant cod off the coast of Canada.) Now the Newfoundland cod fishery is gone, yet another victim of overfishing.
The story of cod is usually told as the tragedy of trawlers. A trawler is boat designed to drag a massive net behind it. These nets are weighted, so that they cling to the bottom of the ocean floor. They sweep up everything for miles and miles. Most of the haul is trash - trawlers leave a trail of dead, unwanted fish - but they can also capture thousands of cod in a single haul. The use of radar made these trawlers even more efficient; now they knew exactly where to drop their nets. The result was a boom in caught cod: by the late 1960's, fishermen were hauling in more than 800,000 tons of cod every year.
But trawlers aren't entirely to blame. Their catch was still within the legal limits. In fact, the Canadian government had been concerned about the cod population for decades. In the 1970's, the government instituted strict regulations that limited the total catch to just 16 percent of the total cod population. The tricky part, of course, was coming up with the population estimates in the first place. It's hard to know how many fish to catch if you don't know how many fish there are. But fishery scientists were confident that their sophisticated models were accurate. They had randomly selected areas of the ocean to sample and then, through the use of a complicated algorithm, arrived at their total estimate of the cod population. They predicted that the new regulations would allow the cod stock to steadily increase. Fish and the fishing industry would both thrive.
The models were all wrong. The cod population never grew. By the late 1980's, even the trawlers couldn't find cod. It was now clear that the scientists had made some grievous errors. The fishermen hadn't been catching 16 percent of the cod population; they had been catching 60 percent of the cod population. The models were off by a factor of four. "For the cod fishery," write Orrin Pilkey and Linda Pilkey-Jarvis, in their excellent book Useless Arithmetic: Why Environmental Scientists Can't Predict the Future, "as for most of earth's surface systems, whether biological or geological, the complex interaction of huge numbers of parameters make mathematical modeling on a scale of predictive accuracy that would be useful to fishers a virtual impossibility."
The scariest part of global warming is that our models might be underestimating the potential risk.
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You mean the way that the geological record contains evidence of fairly dramatic climate changes on decadal timescales, in response to natural forcings.. or the way that any model that successfully predicted such a change would be culled as unrealistic?
I think this is a bit off the mark.
The models were not that wrong, and where the catch limits were properly enforced the cod stock has persisted.
There was a lot of cheating with Atlantic cod catches, gross underreporting of catches, in a famous news story the BBC noted that according to the official numbers Spanish trawlers were returning from the Canadian grounds less than half full, and then they showed footage of those trawlers coming in brim full, taking on water because they're holds were full of fish. Then they did ambush interviews of relevant spaniards asking them about the discrepancies.
The actual catches were 2-5 times larger than reported. Great profit for individual fishermen, long term catastrophe for fishermen in general.
While your point is taken, you're making a mistake in your analogy with the cod model. That model is a statistical model of cod populations based on some empirical relationships and a host of assumptions. Climate models are physical models, based on dynamic and thermodynamic partial differential equations that are well understood. There are a host of assumptions and some poorly understood processes included (or not included) in climate models, but they are fundamentally different from the cod model. The cod model can include measures of the parameters that it is sensitive to, but does not try to simulate the interaction of those parameters. A climate model actually predicts a spatial distribution of, say, sea-ice which then interacts with the rest of the climate system in nonlinear ways. So while it is fair to worry that climate models are underpredicting climate change, it is inappropriate to equate them with a different class of model that has no real predictive power.