Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/3802
Authors: Tonani, M.* 
Pinardi, N.* 
Fratianni, C.* 
Dobricic, S.* 
Title: Forecast and analysis assessment through skill scores
Journal: Ocean Sciences 
Series/Report no.: /5 (2009)
Publisher: EGU
Issue Date: 2009
DOI: 10.5194/os-5-649-2009
Keywords: forecast assessment,
skill scores
Subject Classification01. Atmosphere::01.01. Atmosphere::01.01.08. Instruments and techniques 
Abstract: This paper describes a first comprehensive evaluation of the quality of the ten days ocean forecasts produced by the Mediterranean ocean Forecasting System (MFS). Once a week ten days forecasts are produced. The forecast starts on Tuesday at noon and the prediction is released on Wednesday morning with less then 24 hr delay. 5 In this work we have considered 22 ten days forecasts produced from the 16 August 2005 to the 10 January 2006. All the statistical scores have been done for the Mediterranean basin and for 13 regions in which the Mediterranean sea has been subdivided. The forecast evaluation is given here in terms of root mean square (rms) values. 10 The main skill score is computed as the root mean square of the difference between forecast and analysis (FA) and forecast and persistence (FP), where the persistence is defined as the average of the day of the analysis corresponding to the first day of the forecast. A second skill score (SSP) is defined as the ratio between rms of FA and FP, giving the percentage of accuracy of the forecast with respect to the persistence 15 (Murphy 1993). The rms of FA is always better than FP and the FP rms error is double than the rms of FA. It is found that in the surface layers the error growth is controlled mainly by the atmospheric forcing inaccuracies while at depth the forecast errors could be due to adjustments of the data assimilation scheme to the data insertion procedure. The pre20 dictability limit for our ocean forecast seems to be 5–6 days connected to atmospheric forcing inaccuracies and to the data availability for assimilation.
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