Decadal climate predictions using sequential learning algorithms

Ensembles of climate models are commonly used to improve climate predictions and assess the uncertainties associated with them. Weighting the models according to their performances holds the promise of further improving their predictions. Here, we use an ensemble of decadal climate predictions to de...

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Veröffentlicht in:	arXiv.org 2015-09
Hauptverfasser:	Strobach, Ehud, Golan Bel
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Climate Climate models Climatology Ice ages Machine learning Physics - Atmospheric and Oceanic Physics Physics - Data Analysis, Statistics and Probability Statistical analysis Statistics - Machine Learning Uncertainty
Online-Zugang:	Volltext
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