Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 27, issue 2
Articles | Volume 27, issue 2
https://doi.org/10.5194/npg-27-209-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-27-209-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 27, issue 2
Research article
 | 
16 Apr 2020
Research article |  | 16 Apr 2020

Data-driven versus self-similar parameterizations for stochastic advection by Lie transport and location uncertainty

Valentin Resseguier, Wei Pan, and Baylor Fox-Kemper

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Short summary
Geophysical flows span a broader range of temporal and spatial scales than can be resolved numerically. One way to alleviate the ensuing numerical errors is to combine simulations with measurements, taking account of the accuracies of these two sources of information. Here we quantify the distribution of numerical simulation errors without relying on high-resolution numerical simulations. Specifically, small-scale random vortices are added to simulations while conserving energy or circulation.
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