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20182024
most citedOrders-of-magnitude speedup in atmospheric chemistry modeling through neural network-based emulation

8 citations · 9 across the 5 of their papers we have counts for

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Showing 2023Show all

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physics.ao-ph2023

Learned 1-D passive scalar advection to accelerate chemical transport modeling: a case study with GEOS-FP horizontal wind fields

Manho Park, Zhonghua Zheng, Nicole Riemer +1

We developed and applied a machine-learned discretization for one-dimensional (1-D) horizontal passive scalar advection, which is an operator component common to all chemical trans…