Gavin Schmidt on Why Climate Models are Wrong, and Valuable

I’m overdue to draw your attention to two fresh, and very different, discussions of climate science by Gavin Schmidt, the longtime climate modeler at NASA’s Goddard Institute for Space Studies.

First is his conversation with Perrin Ireland, a science illustrator with a playful touch at the Natural Resources Defense Council. She created an animated cartoon of their interview, which took place over lunch at Tom’s Restaurant, a rather fabled diner on the ground floor of the building housing the institute:

Then there’s Schmidt’s presentation on climate modeling at this year’s TED conference, which took place in Vancouver in February:

Here’s an excerpt from the transcript, which can be explored in full here:

…Models are not right or wrong; they’re always wrong. They’re always approximations. The question you have to ask is whether a model tells you more information than you would have had otherwise. If it does, it’s skillful….

I could go through a dozen…examples: the skill associated with solar cycles, changing the ozone in the stratosphere; the skill associated with orbital changes over 6,000 years. We can look at that too, and the models are skillful. The models are skillful in response to the ice sheets 20,000 years ago. The models are skillful when it comes to the 20th-century trends over the decades. Models are successful at modeling lake outbursts into the North Atlantic 8,000 years ago. And we can get a good match to the data.

Each of these different targets, each of these different evaluations, leads us to add more scope to these models, and leads us to more and more complex situations that we can ask more and more interesting questions, like, how does dust from the Sahara, that you can see in the orange, interact with tropical cyclones in the Atlantic? How do organic aerosols from biomass burning, which you can see in the red dots, intersect with clouds and rainfall patterns? How does pollution, which you can see in the white wisps of sulfate pollution in Europe, how does that affect the temperatures at the surface and the sunlight that you get at the surface?

…We know what happened over the 20th century. Right? We know that it’s gotten warmer. We know where it’s gotten warmer. And if you ask the models why did that happen, and you say, okay, well, yes, basically it’s because of the carbon dioxide we put into the atmosphere. We have a very good match up until the present day.

But there’s one key reason why we look at models, and that’s because of this phrase here. Because if we had observations of the future, we obviously would trust them more than models, But unfortunately, observations of the future are not available at this time.

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A slide from a TED talk by the climate scientist Gavin Schmidt describes why models, while implicitly flawed, are useful. Credit

So when we go out into the future, there’s a difference. The future is unknown, the future is uncertain, and there are choices. Here are the choices that we have. We can do some work to mitigate the emissions of carbon dioxide into the atmosphere. That’s the top one. We can do more work to really bring it down so that by the end of the century, it’s not much more than there is now. Or we can just leave it to fate and continue on with a business-as-usual type of attitude. The differences between these choices can’t be answered by looking at models.

There’s a great phrase that Sherwood Rowland, who won the Nobel Prize for the chemistry that led to ozone depletion, when he was accepting his Nobel Prize, he asked this question: “What is the use of having developed a science well enough to make predictions if, in the end, all we’re willing to do is stand around and wait for them to come true?” [Rowland background] The models are skillful, but what we do with the information from those models is totally up to you….