Latent variable modeling for integrating output from multiple climate models

DOI10.1007/s11004-011-9321-1zbMath1321.86015OpenAlexW1984070386MaRDI QIDQ500630

William F. Christensen, Stephan R. Sain

Publication date: 5 October 2015

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-011-9321-1

zbMATH Keywords

factor analysisspatial predictionKrigingNARCCAPregional climate models

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Geostatistics (86A32)

Related Items (3)

A Bayesian spatial factor analysis approach for combining climate model ensembles ⋮ Filtered Kriging for Spatial Data with Heterogeneous Measurement Error Variances ⋮ Covariance approximation for large multivariate spatial data sets with an application to multiple climate model errors

Uses Software

• R
• SAS

Cites Work

• Asymptotic chi-square tests for a large class of factor analysis models
• The asymptotic normal distribution of estimators in factor analysis under general conditions
• Filtered Kriging for Spatial Data with Heterogeneous Measurement Error Variances
• Applied Spatial Statistics for Public Health Data
• Bayesian Modeling of Uncertainty in Ensembles of Climate Models
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