Preprints
https://doi.org/10.5194/gmd-2020-438
https://doi.org/10.5194/gmd-2020-438

Submitted as: methods for assessment of models 26 Feb 2021

Submitted as: methods for assessment of models | 26 Feb 2021

Review status: this preprint is currently under review for the journal GMD.

Plume spreading test case for coastal ocean models

Vera Fofonova1, Tuomas Kärnä2, Knut Klingbeil3, Alexey Androsov1, Ivan Kuznetsov1, Dmitry Sidorenko1, Sergey Danilov1, Hans Burchard3, and Karen Helen Wiltshire1 Vera Fofonova et al.
  • 1Alfred Wegener Institute for Polar and Marine Research. Bremerhaven, Germany
  • 2Finnish Meteorological Institute. Helsinki, Finland
  • 3Leibniz Institute for Baltic Sea Research Warnemünde (IOW), Rostock, Germany

Abstract. We present a test case of river plume spreading to evaluate numerical methods used in coastal ocean modeling. The main characteristics of the plume dynamics are predicted analytically, but are difficult to reproduce numerically because of numerical mixing present in the models. Our test case reveals the level of numerical mixing as well as the ability of models to reproduce nonlinear processes and frontal zone dynamics. We propose an analysis of simulated plume spreading which may be useful in more general studies of plume dynamics. The major result of our comparative study is that accuracy in reproducing the analytical solution depends less on the type of applied model architecture or numerical grid than it does on the type of advection scheme.

Vera Fofonova et al.

Status: open (until 20 May 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CEC1: 'Comment on gmd-2020-438', Juan Antonio Añel, 03 Apr 2021 reply
    • AC1: 'Reply on CEC1', Vera Fofonova, 16 Apr 2021 reply
  • RC1: 'Comment on gmd-2020-438', Anonymous Referee #1, 22 Apr 2021 reply

Vera Fofonova et al.

Vera Fofonova et al.

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Short summary
We present a test case of river plume spreading to evaluate coastal ocean models. Our test case reveals the level of numerical mixing (due to used parameterizations and numerical treatment of processes in the model) as well as the ability of models to reproduce complex dynamics. The major result of our comparative study is that accuracy in reproducing the analytical solution depends less on the type of applied model architecture or numerical grid than it does on the type of advection scheme.