Articles | Volume 6, issue 5
https://doi.org/10.5194/gmd-6-1813-2013
https://doi.org/10.5194/gmd-6-1813-2013
Model description paper
 | 
29 Oct 2013
Model description paper |  | 29 Oct 2013

The Subgrid Importance Latin Hypercube Sampler (SILHS): a multivariate subcolumn generator

V. E. Larson and D. P. Schanen

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Cited articles

Barker, H.: Representing cloud overlap with an effective decorrelation length: A}n assessment using {CloudSat and CALIPSO data, J. Geophys. Res., 113, D24205, https://doi.org/10.1029/2008JD010391, 2008.
Barker, H. W., Pincus, R., and Morcrette, J.-J.: The M}onte Carlo Independent Column Approximation: Application within large-scale models, in: Proceedings of the {GCSS workshop, Kananaskis, Alberta, Canada, Amer. Meteor. Soc., 2002.
Barker, H. W., Cole, J. N. S., Morcrette, J.-J., Pincus, R., Räisänen, P., von Salzen, K., and Vaillancourt, P. A.: The Monte Carlo Independent Column Approximation: An Assessment using Several Global Atmospheric Models, Q. J. Roy. Meteor. Soc., 134, 1463–1478, 2008.
Bergman, J. W. and Rasch, P. J.: Parameterizing vertically coherent cloud distributions, J. Atmos. Sci., 59, 2165–2182, 2002.
Berner, J., Doblas-Reyes, F. J., Palmer, T. N., Shutts, G., and Weisheimer, A.: Impact of a quasi-stochastic cellular automaton backscatter scheme on the systematic error and seasonal prediction skill of a global climate model, Phil. Trans. R. Soc. A, 366, 2561–2579, https://doi.org/10.1098/rsta.2008.0033, 2008.