CNRM_UNET-Emulator_code_v1.0

This is the version of the code used to train the emulator used in Doury et al 2022.

This repository contains the main functions used to build the Emul-UNet introduced in Doury et al (2022, in review).

It is organised as follow :

INPUT_MAKER.py creates the emulator inputs

make_unet.py designs the neural network architecture behind the emulator

TRAINER_EXAMPLE.py organises and call the functions below to train the emulator.

Doury, A., Somot, S., Gadat, S. et al. Regional climate model emulator based on deep learning: concept and first evaluation of a novel hybrid downscaling approach. Clim Dyn (2022). https://doi.org/10.1007/s00382-022-06343-9