But clouds aren’t part of climate models.
From Phys.org:
“Most current climate models have 200-kilometer grids, roughly the distance from Laramie to Denver, Wang says. However, most clouds are smaller than that, but their impact still has to be measured within that larger grid. With the supercomputer, individual clouds can be analyzed by using models with smaller grids. This could lead to improved accuracy and details of cloud behavior in climate models. “The more computer power we have, we’ll be able to simulate better clouds,” Wang says. “If we can simulate better clouds, we can provide better forecasting.”
They are just process models anyway, with no predictive value. So I don’t know why anybody pays any attention to them except for the people who made them for pure research purposes.
well, at least acknowledging them beats ignoring them. Science marches on.
A good fiction writer will “simulate” how he or someone else might react to certain situations, but that doesn’t mean it will happen that way.
Key word: “simulate”.
There are high altitude, low altitude, and mid-altitude clouds. They have different compositions – water droplets, ice crystals, and mixtures, some even with dust, particulate smoke, or gaseous smog. They all act differently at night and in daylight.
Good luck with that!