Learning algorithms allow for improved reliability and accuracy of global mean surface temperature projections

The ensemble spread of climate models is often interpreted as the uncertainty of the projection, but this is not always justified. Applying learning algorithms to an ensemble of climate predictions allows for a significant uncertainty reduction of projected global mean surface temperatures compared...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Ehud Strobach, Golan Bel
Format: article
Langue:EN
Publié: Nature Portfolio 2020
Sujets:
Q
Accès en ligne:https://doaj.org/article/091cdd00c72a4b78b45a73bb4d21935a
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires