Addressing interdependency in a multimodel ensemble by interpolation of model properties

@article{Sanderson2015AddressingII,
  title={Addressing interdependency in a multimodel ensemble by interpolation of model properties},
  author={B. Sanderson and R. Knutti and P. Caldwell},
  journal={Journal of Climate},
  year={2015},
  volume={28},
  pages={5150-5170}
}
  • B. Sanderson, R. Knutti, P. Caldwell
  • Published 2015
  • Computer Science
  • Journal of Climate
  • AbstractThe diverse set of Earth system models used to conduct the CMIP5 ensemble can partly sample the uncertainties in future climate projections. However, combining those projections is complicated by the fact that models developed by different groups share ideas and code and therefore biases. The authors propose a method for combining model results into single or multivariate distributions that are more robust to the inclusion of models with a large degree of interdependency. This study… CONTINUE READING
    93 Citations
    Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing
    • 7
    • PDF
    ESD Reviews: Model dependence in multi-model climate ensembles: weighting, sub-selection and out-of-sample testing
    • 29
    • PDF
    Selecting a climate model subset to optimise key ensemble properties
    • 51
    • PDF
    Towards improved and more routine Earth system model evaluation in CMIP
    • 37
    • PDF

    References

    SHOWING 1-10 OF 64 REFERENCES
    A Representative Democracy to Reduce Interdependency in a Multimodel Ensemble
    • 132
    • PDF
    Local eigenvalue analysis of CMIP3 climate model errors
    • 54
    Understanding the CMIP3 Multimodel Ensemble
    • 78
    Local eigenvalue analysis of CMIP 3 climate model errors
    • 13
    • PDF
    Multivariate Bayesian analysis of atmosphere–ocean general circulation models
    • 115
    • PDF
    On the Effective Number of Climate Models
    • 200
    Performance metrics for climate models
    • 872
    Correlation between inter-model similarities in spatial pattern for present and projected future mean climate
    • 24
    • PDF