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Any computer model...

Is only as good as the inputs.

New Phytoplankton Model May Revise Warming Estimates

Global climate models are missing a good chunk of plant information that could significantly alter long-term climate change predictions. A new technique for modeling phytoplankton -- microscopic plants in the upper layers of the Earth's waters -- could reveal a much more accurate picture.

"(Other) modelers have populated their oceans with three or four kinds of plants, said Mick Follows, a researcher in MIT's Program in Atmospheres, Oceans and Climate. "We’ve represented a much more diverse community, and allowed it to have interactions that regulate it more naturally."

Phytoplankton populations are constantly changing, which makes them difficult to predict. So the MIT researchers developed an algorithm using evolutionary principles to more accurately represent the microscopic plants. A more precise count is important because phytoplankton process carbon dioxide -- a significant contributor to global warming.

Scientists interviewed for this article said it's too soon to say whether the more accurate phytoplankton count will be good news or bad news for the global climate's future. But climate researchers will have a more accurate picture once they factor the new phytoplankton model into their estimates, they said.

Remember - Garbage in, Garbage out. Though how our global warming efforts are affecting Mars, I've got no idea. Last I checked, there were very few phytoplankton habitats out there...

J.

Comments (3)

John C.:

I blame Halliburton.

JLawson:

I didn't realize they'd gotten the contract to terraform Mars!

J.

Otpu:

Standard scientist with an agenda procedure.

When modeling a complex and highly interactive system make simplifying assumptions about poorly understood underlying processes. Continue simplifying the parameters until the model gives the result you knew was correct all along.

Once the model's parameters have been simplified to the point that its predictions of the modeled system's behavior agrees with the Truth; Eureka, the essence of Truth now stands proven for all to see!

Since the output of the model now matches the Truth then the model must be accurate in all parameters and its predictions can not be challenged.

look up Lysenko and Lamarckism to see just how much damage unchallengeable scientific dogma can cause.

otpu

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