A single-column model ensemble approach applied to the TWP-ICE experiment

@inproceedings{Davies2013ASM,
  title={A single-column model ensemble approach applied to the TWP-ICE experiment},
  author={Lilian Davies and Christian Jakob and K. Cheung and Anthony D. Del Genio and Alisdair Hill and Tom Hume and Richard J. Keane and Takahiro Komori and V. E. Larson and Y. Lin and Xinle Liu and Bente J. Nielsen and Jon C. Petch and Robert S. Plant and Martin S Singh and Xiao-Pan Shi and Xianfa Song and Wenlong Wang and M. A. Whitall and Alexander Wolf and Shuangquan Xie and Guo-chun Zhang},
  year={2013}
}
[1] Single-column models (SCM) are useful test beds for investigating the parameterization schemes of numerical weather prediction and climate models. The usefulness of SCM simulations are limited, however, by the accuracy of the best estimate large-scale observations prescribed. Errors estimating the observations will result in uncertainty in modeled simulations. One method to address the modeled uncertainty is to simulate an ensemble where the ensemble members span observational uncertainty… CONTINUE READING