A Bayesian hierarchical approach for spatial analysis of climate model bias in multi-model ensembles-Reference-Cited by-同舟云学术

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A Bayesian hierarchical approach for spatial analysis of climate model bias in multi-model ensembles

Published:2017-01-27 Issue:10 Volume:31 Page:2645-2657
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Arisido Maeregu Woldeyes,Gaetan Carlo,Zanchettin Davide,Rubino Angelo

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/article/10.1007/s00477-017-1383-2/fulltext.html

Reference37 articles.

1. Banerjee S, Carlin BP, Gelfand AE (2014) Hierarchical modeling and analysis for spatial data. CRC Press, New York

2. Berliner LM (2003) Physical-statistical modeling in geophysics. J Geophys Res Atmos 108:8776. doi: 10.1029/2002JD002865

3. Boberg F, Christensen JH (2012) Overestimation of Mediterranean summer temperature projections due to model deficiencies. Nat Clim Change 2:433–436

4. Brohan P, Kennedy JJ, Harris I, Tett SF, Jones PD (2006) Uncertainty estimates in regional and global observed temperature changes: a new data set from 1850. J Geophys Res Atmos. doi: 10.1029/2005JD006548

5. Buser CM, Knsch HR, Lthi D, Wild M, Schr C (2009) Bayesian multi-model projection of climate: bias assumptions and interannual variability. Clim Dyn 33:849–868

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