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Keyword: deep convection parameterization ×Clear all

2 claims from 1 paper

1. Earth and Planetary Sciences › Meteorological Phenomena and Simulations

   Online Test of a Neural Network Deep Convection Parameterization in ARP-GEM1

   Balogh, Saint‐Martin and Geoffroy · Artificial Intelligence for the Earth Systems · 2025

   The authors coupled a Python neural network to the Fortran model ARP-GEM1 via the OASIS coupler, replaced its deep convection scheme with an emulator, and compared a 5-year run with the original physics-based run.

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   1. UncheckedUsing a Fortran/Python interface, the authors swapped the deep convection scheme in the ARP-GEM1 atmospheric model for a neural network emulator.“Using the flexible Fortran/Python interface, we have successfully replaced ARP-GEM1's deep convection scheme with a neural network emulator.”
   2. UncheckedAveraged fields from a 5-year run with a neural network deep convection scheme agreed well with the run using ARP-GEM1's physics-based scheme.“The evaluation of averaged fields showed good agreement with output from an ARP-GEM1 simulation using the physics-based deep convection scheme.”