A subversive physicist and climate change
His friend,
the neurologist and writer, Oliver Sacks said of Dyson: "Freeman's
favorite word about science and creativity is the word subversive. He feels it's
not important to be orthodox, but subversive, and that's what he's done all his
life." life."
He moved to
the United States, establishing himself at Birmingham University first, then at
Cornell University, and finally in 1953 at the Institute for Advanced Study in
Princeton, New Jersey, where he would remain for 60 years.
Dyson was
one of the main personalities in physics worldwide, he participated in several
projects of great importance such as the Orion Project and the Triga nuclear
reactor. He also worked on a variety of topics in mathematics, including
topology, analysis, number theory, and random matrices. His contributions to
physics are innumerable. I invite the audience to consult his copious
trajectory in the encyclopedias available on the Internet. In this video we
will specifically refer to his views on climate change.
First part
In one of
his many lectures, Freeman Dyson recounted that in the 1960s, fluid dynamics
expert Syukuro Manabe was running global climate models on
the
supercomputer at the Geophysical Fluid Dynamics Laboratory at Princeton.
The models
were executed with carbon dioxide with variable amounts in the atmosphere and
in the output of the computer the models of it showed an increase in the
average temperature of the soil, something that 50 years later was renamed
global warming.
Munabe told
everyone not to believe the numbers. But the politicians in Washington believed.
They wanted numbers, he gave them numbers, so naturally they believed in
numbers.
It was not
unreasonable for politicians to believe in Manabe's figures. Politics and
science are two very different games. In science, you're not supposed to
believe the numbers until you've carefully examined the evidence. If the
evidence is doubtful, a good scientist will suspend judgment. In politics, you're
supposed to make decisions. Politicians are used to making decisions based on
shaky evidence. They have to vote yes or no, and they usually don't have the
luxury of suspending judgment. Manabe's numbers were clear and simple. They
said that if carbon dioxide increases, the planet will heat up. So it was
reasonable for the politicians to believe them. Believing for a politician is
not the same as believing for a scientist.
Manabe's numbers were unreliable because his computer models did not actually simulate the physical processes taking place in the atmosphere. He over and over again said that his purpose when he ran computer models was not to predict the weather but to understand it. But no one listened. Everyone thought he was predicting the weather, everyone believed his numbers. And here we are still.
Second part
Earth's biosphere contains four carbon reservoirs: the
atmosphere, the ocean, vegetation, and soil. All four reservoirs are of
comparable size, so the problem of climate is inevitably mixed with problems of
vegetation and soil. The intertwining between the four reservoirs is so strong
that it makes no sense to consider only the atmosphere and the ocean. Computer
models of the atmosphere and ocean, even if they can be made reliable, give at
best a partial view of the problem. The large effects of vegetation and soil
cannot be calculated, but must be observed and measured.
The way the problem is usually presented to the public is
seriously misleading. The public is led to believe that the carbon dioxide
problem has only one cause and one consequence. The only cause is the burning
of (fossil) fuels, the only consequence is global warming. In reality there are
multiple causes and multiple consequences. Atmospheric carbon dioxide driving
global warming is just the dog's tail. The dog wagging its tail is global
ecology: forests, farms, and swamps, as well as power plants, factories, and
automobiles. And the increase in carbon dioxide in the atmosphere has other
consequences that may be at least as important as global warming: increasing
crop yields and forest growth, for example. To handle the problem intelligently,
we need to understand all the causes and all the consequences.
Third part
To sum up what we've learned since then, Dyson gives us some
good news and some bad news. The good news is that a lot of effort is finally
being put into local observations. Local observations are laborious and time-consuming,
but they are essential if we are ever to have an accurate picture of the
climate. The bad news is that the climate models that so much effort goes into
are not reliable because they still use simulation factors instead of physics
to represent important things like evaporation and convection, clouds and rain.
In addition to the general prevalence of misleading factors,
the latest and largest climate models have other flaws that make them
unreliable. With one exception, they do not predict the existence of El Niño. Since
El Niño is an important feature of the observed climate, any model that cannot
predict it is clearly flawed. Bad news doesn't mean climate models are useless.
They are, as Manabe said thirty years ago, essential tools to understand the
climate. They are not yet adequate tools to predict the weather. If we
patiently persevere in looking at the real world and improving the models, the
time will come when we will be able to both understand and predict. Until then,
we must continue to warn politicians and the public: do not believe the numbers
just because they come out of a supercomputer.
Freeman J. Dyson, Emeritus Professor of Physics at the Institute for Advanced Study in Princeton, New Jersey, received the 1999 APS Joseph Burton Forum Award and is the author of several books on science for the general public. The most recent is The Sun, the Genome and the Internet, which will be published this year.
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