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Spatial Analysis to Quantify Numerical Model Bias and Dependence

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  • Jun, Mikyoung
  • Knutti, Reto
  • Nychka, Douglas W

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  • Jun, Mikyoung & Knutti, Reto & Nychka, Douglas W, 2008. "Spatial Analysis to Quantify Numerical Model Bias and Dependence," Journal of the American Statistical Association, American Statistical Association, vol. 103(483), pages 934-947.
    • Handle: RePEc:bes:jnlasa:v:103:i:483:y:2008:p:934-947
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    Citations

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    Cited by:

    1. Stefano Castruccio & Joseph Guinness, 2017. "An evolutionary spectrum approach to incorporate large-scale geographical descriptors on global processes," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 329-344, February.
    2. Jun, Mikyoung, 2014. "Matérn-based nonstationary cross-covariance models for global processes," Journal of Multivariate Analysis, Elsevier, vol. 128(C), pages 134-146.
    3. Matthew Ranson & Carolyn Kousky & Matthias Ruth & Lesley Jantarasami & Allison Crimmins & Lisa Tarquinio, 2014. "Tropical and extratropical cyclone damages under climate change," Climatic Change, Springer, vol. 127(2), pages 227-241, November.
    4. Thordis L. Thorarinsdottir & Tilmann Gneiting, 2010. "Probabilistic forecasts of wind speed: ensemble model output statistics by using heteroscedastic censored regression," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(2), pages 371-388, April.
    5. Kleiber, William & Nychka, Douglas, 2012. "Nonstationary modeling for multivariate spatial processes," Journal of Multivariate Analysis, Elsevier, vol. 112(C), pages 76-91.
    6. R. Darbyshire & P. Measham & I. Goodwin, 2016. "A crop and cultivar-specific approach to assess future winter chill risk for fruit and nut trees," Climatic Change, Springer, vol. 137(3), pages 541-556, August.
    7. McKitrick Ross, 2010. "Atmospheric Circulations Do Not Explain the Temperature-Industrialization Correlation," Statistics, Politics and Policy, De Gruyter, vol. 1(1), pages 1-20, July.
    8. Alexandra Jonko & Nathan M. Urban & Balu Nadiga, 2018. "Towards Bayesian hierarchical inference of equilibrium climate sensitivity from a combination of CMIP5 climate models and observational data," Climatic Change, Springer, vol. 149(2), pages 247-260, July.
    9. Frigg, Roman & Smith, Leonard A. & Stainforth, David A., 2015. "An assessment of the foundational assumptions inhigh-resolution climate projections: the case of UKCP09," LSE Research Online Documents on Economics 61635, London School of Economics and Political Science, LSE Library.
    10. David Stainforth, 2010. "Probabilistic regional and seasonal predictions of twenty-first century temperature and precipitation," GRI Working Papers 23, Grantham Research Institute on Climate Change and the Environment.
    11. J. Bhend & P. Whetton, 2013. "Consistency of simulated and observed regional changes in temperature, sea level pressure and precipitation," Climatic Change, Springer, vol. 118(3), pages 799-810, June.

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