Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 4
Articles | Volume 13, issue 4
https://doi.org/10.5194/gmd-13-1903-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-1903-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 4
Development and technical paper
 | 
16 Apr 2020
Development and technical paper |  | 16 Apr 2020

On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments

Colin Grudzien, Marc Bocquet, and Alberto Carrassi

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Latest update: 06 Nov 2024
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Short summary
All scales of a dynamical physical process cannot be resolved accurately in a multiscale, geophysical model. The behavior of unresolved scales of motion are often parametrized by a random process to emulate their effects on the dynamically resolved variables, and this results in a random–dynamical model. We study how the choice of a numerical discretization of such a system affects the model forecast and estimation statistics, when the random–dynamical model is unbiased in its parametrization.
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