Orders-of-magnitude speedup in atmospheric chemistry modeling through neural network-based emulation
Kelp, Makoto M.
Tessum, Christopher W.
Marshall, Julian D.
Physics - Atmospheric and Oceanic Physics | Physics - Computational Physics | Statistics - Machine Learning
Chemical transport models (CTMs), which simulate air pollution transport, transformation, and removal, are computationally expensive, largely because of the computational intensity of the chemical mechanisms: systems of coupled differential equations representing atmosp...