Advancing Sophisticated Photochemistry Simulation in Atmospheric Numerical Models With Artificial Intelligence PhotoChemistry (AIPC) Scheme Using the Feature‐Mapping Subspace Self‐Attention Algorithm
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DOI: 10.1029/2024ms004646
Abstract: Accurate simulation of atmospheric photochemistry is essential for air quality and climate studies but computationally expensive in three‐dimensional atmospheric models. Artificial intelligence (AI) algorithms show promise for accelerating photochemical simulations, but integrating them reliably into… read more here.
Keywords: mapping subspace; feature mapping; attention; photochemistry ... See more keywords