Articles | Volume 13, issue 6
https://doi.org/10.5194/os-13-925-2017
https://doi.org/10.5194/os-13-925-2017
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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Latest update: 23 May 2024
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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.