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Bayesian Modeling of Uncertainty in Ensembles of Climate Models

Author

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  • Smith, Richard L.
  • Tebaldi, Claudia
  • Nychka, Doug
  • Mearns, Linda O.

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Suggested Citation

  • Smith, Richard L. & Tebaldi, Claudia & Nychka, Doug & Mearns, Linda O., 2009. "Bayesian Modeling of Uncertainty in Ensembles of Climate Models," Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 97-116.
    • Handle: RePEc:bes:jnlasa:v:104:i:485:y:2009:p:97-116
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    Cited by:

    1. Villamizar, Rodrigo & Villamizar-Villegas, Mauricio & Arango, Lucia & Castelblanco, Geraldine, 2021. "Sustainability as a Policy Tool," Working papers 82, Red Investigadores de Economía.
    2. Andrew Finley & Sudipto Banerjee & Alan Gelfand, 2012. "Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes," Journal of Geographical Systems, Springer, vol. 14(1), pages 29-47, January.
    3. Alexandra M. Schmidt & Marco A. Rodríguez, 2022. "Discussion on “A combined estimate of global temperature”," Environmetrics, John Wiley & Sons, Ltd., vol. 33(3), May.
    4. Tom Lindström & Michael Tildesley & Colleen Webb, 2015. "A Bayesian Ensemble Approach for Epidemiological Projections," PLOS Computational Biology, Public Library of Science, vol. 11(4), pages 1-30, April.
    5. J. Refsgaard & K. Arnbjerg-Nielsen & M. Drews & K. Halsnæs & E. Jeppesen & H. Madsen & A. Markandya & J. Olesen & J. Porter & J. Christensen, 2013. "The role of uncertainty in climate change adaptation strategies—A Danish water management example," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(3), pages 337-359, March.
    6. Kleiber, William & Nychka, Douglas, 2012. "Nonstationary modeling for multivariate spatial processes," Journal of Multivariate Analysis, Elsevier, vol. 112(C), pages 76-91.
    7. Soumen Dey & Mohan Delampady & Ravishankar Parameshwaran & N. Samba Kumar & Arjun Srivathsa & K. Ullas Karanth, 2017. "Bayesian Methods for Estimating Animal Abundance at Large Spatial Scales Using Data from Multiple Sources," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 22(2), pages 111-139, June.
    8. S. Lorenz & S. Dessai & J. Paavola & P. Forster, 2015. "The communication of physical science uncertainty in European National Adaptation Strategies," Climatic Change, Springer, vol. 132(1), pages 143-155, September.
    9. Howard H. Chang & Jingwen Zhou & Montserrat Fuentes, 2010. "Impact of Climate Change on Ambient Ozone Level and Mortality in Southeastern United States," IJERPH, MDPI, vol. 7(7), pages 1-15, July.
    10. Christoph M. Buser & Hans R. Künsch & Alain Weber, 2010. "Biases and Uncertainty in Climate Projections," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 37(2), pages 179-199, June.
    11. DeCanio, Stephen J. & Manski, Charles F. & Sanstad, Alan H., 2022. "Minimax-regret climate policy with deep uncertainty in climate modeling and intergenerational discounting," Ecological Economics, Elsevier, vol. 201(C).
    12. Lee, Jaeyong & Oh, Hee-Seok, 2013. "Bayesian regression based on principal components for high-dimensional data," Journal of Multivariate Analysis, Elsevier, vol. 117(C), pages 175-192.
    13. Esther Salazar & Dorit Hammerling & Xia Wang & Bruno Sansó & Andrew O. Finley & Linda O. Mearns, 2016. "Observation-based blended projections from ensembles of regional climate models," Climatic Change, Springer, vol. 138(1), pages 55-69, September.
    14. Sanaz Moghim & Mohammad Sina Jahangir, 2022. "Reliability framework for characterizing heat wave and cold spell events," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(2), pages 1503-1525, June.

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