1 citations · 2 across the 3 of their papers we have counts for
4 papers
Improvement of a neural network convection scheme by including triggering and evaluation in present and future climates
Hugo Germain, Blanka Balogh, Olivier Geoffroy +1
In this study, we improve a neural network (NN) parameterization of deep convection in the global atmosphere model ARP-GEM. To take into account the sporadic nature of convection,…
Online Test of a Neural Network Deep Convection Parameterization in ARP-GEM1
Blanka Balogh, David Saint-Martin, Olivier Geoffroy
In this study, we present the integration of a neural network-based parameterization into the global atmospheric model ARP-GEM1, leveraging the Python interface of the OASIS couple…
The ARP-GEM1 Global Atmosphere Model. Part II: Multiscale Evaluation up to 6 km
Olivier Geoffroy, David Saint-Martin
This is the second part of a series of two articles focused on the development and evaluation of the ARP-GEM1 global atmosphere model. The first paper introduced the model's new ph…
The ARP-GEM1 Global Atmosphere Model. Part I: Description and Speed-up Analysis
David Saint-Martin, Olivier Geoffroy
This is the first part of a series of two articles describing the ARP-GEM global atmosphere model version 1 and its evaluation in simulations from 55 km to 6 km resolutions. This a…