@article{schneiderClimateModellingUncertainty2007,
  title = {Climate Modelling: Uncertainty in Climate-Sensitivity Estimates},
  author = {Schneider, Tapio},
  date = {2007-03},
  journaltitle = {Nature},
  volume = {446},
  pages = {E1},
  issn = {0028-0836},
  doi = {10.1038/nature05707},
  url = {https://doi.org/10.1038/nature05707},
  abstract = {Based on reconstructions of past temperatures from proxy data, Hegerl et al.1 estimate a confidence interval for climate sensitivity that suggests a substantially reduced probability of very high climate sensitivity compared with previous empirical estimates. Here I show that the inference procedure used by Hegerl et al. neglects uncertainties in temperature reconstructions and in the estimated climate sensitivity and can even be used to infer that the climate sensitivity is zero with vanishing uncertainty. Similar procedures based on temperature reconstructions from proxy data generally underestimate uncertainties in climate sensitivity.},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-1135020,~to-add-doi-URL,climate,modelling,modelling-uncertainty,statistics,temperature,uncertainty},
  number = {7131}
}

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