Work

Selecting Observationally Constrained Global Climate Model Ensembles Using Autoencoders and Transfer Learning

Year: 2025

Type: article

Abstract: This code is based on the publication: Ibebuchi, C. C., Akinyemi, O., & Abu, I. O. (2025). Selecting observationally constrained Global Climate Model ensembles using autoencoders and transfer learning. Journal of Geophysical Research: Machine Learning and Computation, 2(1), e2024JH000528.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14914620

Author: Ibebuchi, Chibuike

Institution: Kent State University

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: W6949560311

FWCI: 0.435

Cites:

Cited by: 1

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