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From tuning by hand to learning from data: ClimaParams.jl and ClimaCalibrate.jl

By Nat Efrat-Henrici and Tapio Schneider. Part 7 of our tour of the CliMA software stack. The series began with why we built a new Earth system model; last week covered how to calibrate a model of a chaotic system. In the summer of 1968, a field campaign measured wind profiles over a field of wheat stubble in Kansas. Functional forms were fitted to those measured profiles, including a coefficient that sets how strongly stable temperature stratification damps turbulence near the ground. The fitted profiles with the coefficient, 4.7, have since been used to represent stable boundary layers in models…
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