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• W2096561779 abstract "When quantifying the uncertainty of the response of a computationally costly oceanographic or meteorological model stemming from the uncertainty of its inputs, practicality demands getting the most information using the fewest simulations. It is widely recognized that, by interpolating the results of a small number of simulations, results of additional simulations can be inexpensively approximated to provide a useful estimate of the variability of the response. Even so, as computing the simulations to be interpolated remains the biggest expense, the choice of these simulations deserves attention. When making this choice, two requirement should be considered: (i) the nature of the interpolation and (ii) the available information about input uncertainty. Examples comparing polynomial interpolation and Gaussian process interpolation are presented for three different views of input uncertainty." @default.
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• W2096561779 date "2015-11-01" @default.
• W2096561779 modified "2023-09-26" @default.
• W2096561779 title "Pragmatic aspects of uncertainty propagation: A conceptual review" @default.
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• W2096561779 doi "https://doi.org/10.1016/j.ocemod.2015.09.001" @default.
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