4 papers
Global kilometer-scale climate simulations: new opportunities for climate services
David Saint-Martin, Olivier Geoffroy, Gildas Dayon
Climate services are essential for risk management and economic planning. This paper presents a century-long simulation performed with the ARP-GEM global atmosphere model at 2.6 km…
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,…
Global Kilometer-Scale Simulations with ARP-GEM2: Effect of Parameterized Convection and Calibration
Olivier Geoffroy, David Saint-Martin
The objective of this paper is twofold. First, it documents the second version of the global atmospheric model ARP-GEM and its calibration at kilometer-scale resolution. The model…
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…