Work

The road to 500 years of multi-member, seasonal climate hindcasts

Year: 2026

Type: article

Abstract: Presentation for the S2S2D Conference 2026, Session S2D: Machine Learning methods in S2S2D I, in Reading.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22688105

Authors: Wegmann, Martin, Brönnimann, Stefan

Institution: University of Bern

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: W7212116033

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