With proper scaling and training convergence, a moderate-sized feedforward neural network can reproduce key aerosol concentration changes from the MAM4 microphysics module in E3SMv2.
ClimSim: A large multi-scale dataset for hybrid physics-ml climate emulation
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Assessing Emulator Design and Training for Modal Aerosol Microphysics Parameterizations in E3SMv2
With proper scaling and training convergence, a moderate-sized feedforward neural network can reproduce key aerosol concentration changes from the MAM4 microphysics module in E3SMv2.