In astrophysics, we try to simulate galaxies by using physical models down to the resolution limit (e.g., grid spacings or particle masses), and then we use "subgrid" prescriptions -- usually calibrated to empirical data -- in order to patch our simulations at smaller scales. This is obviously super simplified but I hope it makes sense. Do you use "subgrid" models in meteorology forecasting or cyclogenesis models?
If so, how do you have enough data to properly tune your models? (I'm comparing the ~1000 hurricanes observed during in the satellite era against the ~billions of galaxies imaged by telescopes.)
jwuphysics69 karma
In astrophysics, we try to simulate galaxies by using physical models down to the resolution limit (e.g., grid spacings or particle masses), and then we use "subgrid" prescriptions -- usually calibrated to empirical data -- in order to patch our simulations at smaller scales. This is obviously super simplified but I hope it makes sense. Do you use "subgrid" models in meteorology forecasting or cyclogenesis models?
If so, how do you have enough data to properly tune your models? (I'm comparing the ~1000 hurricanes observed during in the satellite era against the ~billions of galaxies imaged by telescopes.)
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