How did life begin? What's the universe made of? Why do we sleep? 42* of the biggest questions in science.
Why can’t we predict the weather?
Wired, Issue 15.02 - February 2007
A few years ago, weather forecasts
were totally unreliable beyond a couple of days;
today better computer models
make them accurate as far as a week out.
That’s fine for figuring out
how to pack for a business trip
or whether you need to rent
a big tent for the wedding reception.
The trouble starts
when you want to build
a computer model to predict
the weather over decades or centuries.
In 1961, a meteorologist
named Edward Lorenz
was running a computerized
weather simulation and decided
to round a few decimal places off
one of the parameters.
The tiny tweak completely changed weather patterns.
This became known as the butterfly effect:
A butterfly flapping its wings in Brazil
sets off a tornado in Texas.
Lorenz’s shortcut
helped launch chaos theory
and sparked an obsession
among meteorologists
with feeding as-perfect-as-possible data
into their models in an attempt
to lengthen their forecast window.
But even refining precision
doesn’t get us to long-term prediction.
For that, climatologists
need to understand boundary conditions,
like the interactions between
the atmosphere and the oceans.
The goal, says Louis Uccellini,
director of the National Centers
for Environmental Prediction,
is to model Earth
as a single climate system.
Then we can figure out what’ll happen to it next.
- Lucas Graves
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