Work

Code: Influence of Observational Uncertainty on Climate Downscaling with Deep Learning

Year: 2025

Type: article

Abstract: Code to replicate results for paper :I nfluence of Observational Uncertainty on Climate Downscaling with Deep Learning: A Case Study in Spain with Five Datasets.Brief review:-main.py: Is the script for training the deep learning models. -Inference.py: Uses the trained models to inference in different periods of interest. -paper_plots.py: Script to generate plots used in paper.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17178103

Author: Reyes-Elgueta, Jose Samuel Felipe

Institution: Instituto de Física de Cantabria

Language: English

Topic: Climate variability and models

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: green

OpenAlex ID: W7082648645

FWCI: 0.436

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Cited by: 1

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