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Another climate model paper in Nature misses a whole class of feedbacks

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It’s always the same. A new paper adds one more magical fine-tuning-cog to the models and promises “more accurate predictions”. There are a million small cogs we can add and it takes years to show they don’t deliver. These wheels can spin forever. The real climate machine has a whole extra exhaust pipe to which the models are blind.

Why some climate processes are more effective at warming Earth

Conventional models assume increasing atmospheric CO2 warms the surface, then apply the feedbacks to the surface warming. But if feedbacks start up in the atmosphere instead, everything changes.

The assumption (bolded below) is the problem —

There are many processes which affect the surface climate: changes to the sun’s activity, to the cloud cover, precipitation patterns, or soil water content to name just a few. Currently climate scientists relate these processes by looking at how much they change the energy budget, described by perturbations in the radiative forcing. The existing assumption is that if a given process introduces a certain radiative forcing, then there will always be the same response in the surface air temperature. However, this assumption doesn’t hold for the temperature response [...]


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