Artificial intelligence reconstructs global temperature from scarce local data

Published July 6, 2023 | Version v1

Poster Open

1. Oeschger Centre for Climate Change Research, University of Bern
2. University of Geneva, Haute École de Gestion de Genève, Haute École Spécialisée de Suisse Occidentale

Poster for the Bernese Data Science Day 2022 showing results from Wegmann & Jaume-Santero 2023

Wegmann, M. & Jaume-Santero, F. (2023). Artificial intelligence achieves easy-to-adapt nonlinear global temperature reconstructions using minimal local data. Communications Earth & Environment 4, 217.

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Resource type

Poster

Publisher

Zenodo

Conference

Bernese Data Science Day (BDSD), Bern, 2022

Languages

English

Creative Commons Attribution 4.0 International

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