ML4WX

Downscaling & super-resolution

Material for "A Comparison between Perfect-Prognosis and Super-Resolution Deep Learning for Statistical Downscaling of Climate Change Simulations"

Jorge Baño‐Medina

Zenodo (CERN European Organization for Nuclear Research) ·

Paper

In one sentence. Repository with code and material comparing perfect-prognosis and super-resolution deep learning for statistical downscaling of climate change simulations.

Abstract

This repository contains the material needed to reproduce the results of the manuscript entitled "A Comparison between Perfect-Prognosis and Super-Resolution Deep Learning for Statistical Downscaling of Climate Change Simulations" submitted to the "Artificial Intelligence for the Earth Systems" journal.

Labels

Topic
Downscaling & super-resolution
Type
Evaluation or intercomparison of existing models
Time scale
Climate projections / centennial
Domain
Regional
Data
CMIP / climate model output
Status
Research
Identifiers
DOI:10.5281/zenodo.7476791 OpenAlex:W4313838235
Added
2026-10-22

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