Articles | Volume 13, issue 6
Ocean Sci., 13, 925–945, 2017

Special issue: REP14-MED: A Glider Fleet Experiment in a Limited Marine...

Ocean Sci., 13, 925–945, 2017

Research article 20 Nov 2017

Research article | 20 Nov 2017

Forecast skill score assessment of a relocatable ocean prediction system, using a simplified objective analysis method

Reiner Onken

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Short summary
An ocean prediction model was driven by observations via assimilation. The best forecast was obtained using a smoothing scale of 12.5 km and a time window of 24 h for data selection. Mostly, the forecasts were better than that of a run without assimilation, the skill score increased with increasing forecast range, and the score for temperature was higher than the score for salinity. It is shown that a vast number of data can be managed by the applied method without data reduction.