Faster climate models just reprocess biased data more quickly
Tom KirkmanIndependent Project Manager
Oh goody, the already deeply biased and outright fraudulent computer “Climate Models” are set to get 10 times faster, using a new algorithm.
This new algorithm will input previously biased and fraudulent data and reprocess it to make the reprocessed data even *more* biased and fraudulent.
Sort of like running a PCR test dozens of times, re-inputting faulty data repeatedly in order to achieve the desired test result.
Extrapolated garbage data is biased and is *not* actual science, it is *manipulation* of faulty data in order to “prove” the intended outcome.
Climate Modelling is
● Garbage Data In, Garbage Data on Steroids Out.
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” Climate models are some of the most complex pieces of software ever written, able to simulate a vast number of different parts of the overall system, such as the atmosphere or ocean.
Many have been developed by hundreds of scientists over decades and are constantly being added to and refined.
They can run to over a million lines of computer code – tens of thousands of printed pages.
Not surprisingly, these models are expensive. The simulations take time, frequently several months, and the supercomputers on which the models are run consume a lot of energy.
But a new algorithm I have developed promises to make many of these climate model simulations ten times faster, and could ultimately be an important tool in the fight against climate change.
… How it works
Like so much “new” research it is based on an old idea, in this case one that goes back centuries to the Swiss mathematician Leonhard Euler.
● Called “sequence acceleration”, you can think of it as using past information to extrapolate to a “better” future.
Among other applications, it is widely used by chemists and material scientists to calculate the structure of atoms and molecules, a problem that happens to take up more than half the world’s supercomputing resources.
● Sequence acceleration is useful when a problem is iterative in nature, exactly what climate model spin-up is:
● you feed the output from the model back as an input to the model.
● Rinse and repeat until the output becomes equal to the input and you’ve found your equilibrium solution.
… Developing a new algorithm is the easy part.
Getting others to use it is often the bigger challenge.
It is therefore promising that the UK Met Office and other climate modelling centres are trying it out. …”