Elo Rating for Climate models

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Paul‐Arthur Monerie
DOI: 10.5281/zenodo.18232482
Cited by: 0

Abstract

This repository contains a Python-based implementation of the Elo rating system applied to the evaluation of Climate models. Originally designed for ranking chess players, the Elo system provides a dynamic and robust way to rank models relative to one another based on specific performance metrics, such as Root Mean Square Deviation (RMSD).

Fields of Study & Subjects

Climate variability and models Meteorological Phenomena and Simulations Sports Analytics and Performance

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 January 2026