Dimensionality Reduction and Network Inference for Climate Data Using δ‐MAPS: Application to the CESM Large Ensemble Sea Surface Temperature

Dimensionality Reduction and Network Inference for Climate Data Using δ‐MAPS: Application to the CESM Large Ensemble Sea Surface Temperature

Abstract A framework for analyzing and benchmarking climate model outputs is built upon δ‐MAPS, a recently developed complex network analysis method. The framework allows for the possibility of highlighting quantifiable topological differences across data sets, capturing the magnitude of interaction...

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Bibliographic Details
Main Authors: Fabrizio Falasca, Annalisa Bracco, Athanasios Nenes, Ilias Fountalis
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2019-06-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
climate variability
network analysis
model validation
model comparison
ENSO
future projections
Online Access:https://doi.org/10.1029/2019MS001654

Internet

https://doi.org/10.1029/2019MS001654

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