Articles | Volume 28, issue 1
Nonlin. Processes Geophys., 28, 1–22, 2021
https://doi.org/10.5194/npg-28-1-2021
Nonlin. Processes Geophys., 28, 1–22, 2021
https://doi.org/10.5194/npg-28-1-2021

Research article 14 Jan 2021

Research article | 14 Jan 2021

A methodology to obtain model-error covariances due to the discretization scheme from the parametric Kalman filter perspective

Olivier Pannekoucke et al.

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Short summary
Numerical weather prediction involves numerically solving the mathematical equations, which describe the geophysical flow, by transforming them so that they can be computed. Through this transformation, it appears that the equations actually solved by the machine are then a modified version of the original equations, introducing an error that contributes to the model error. This work helps to characterize the covariance of the model error that is due to this modification of the equations.