CERN for Climate Science

current models resolution too coarse, 100km boxes make impossbile to model clouds and essentially climate swing in mid latitudes, we really do not how to estimate the effects of warming arctic and reduced temperature gradient bewteen the arctic and the equator

CERN for climate, the idea must be her, Sabine Hossenfelder, physicist. Editorial on SCIAM

paper by climatologist Tim Palmer

Worth following, makes a lot of sense and would be a great tech challenge, climate models with 1 km resolutions

“current global climate models can’t represent cloud systems using the laws of physics because the grid spacing is too coarse (a hundred kilometers or more)” (..) “Because of the simplified representations of clouds, (current climate models tend to systematically misplace the principal regions in the tropics, known as the intertropical convergence zones, where rainfall occurs. Iin midlatitudes, the models underestimate the number of long-lived high-pressure systems known as anticyclones, which are associated with heat waves, forest fires and drought. All of these errors are typically at least as large as the climate-change signals the models attempt to simulate.” (..)

“The consequence of our inability to model essential climate processes very accurately is that we cannot correctly simulate extreme weather and climate events. The horrendous weather events of 2021—the near-50-degree-Celsius heat in British Columbia and the devastating flooding in the Eifel region in Germany, China’s province of Henan and New York City—are completely outside the range of what current-generation climate models can simulate.”

On the cahllenge of managing the growing trove of climate data

“Satellites are key to the story. As of last September, government agencies and private companies had about 900 Earth-orbiting satellites gathering data about our planet, according to the Union of Concerned Scientists. That is almost three times as many as were aloft in 2008. More are being readied for launch.”

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