Journal of Geophysical Research-Atmospheres, 116, D19111, doi:10.1029/2010JD015394
 

Decadal climate prediction with the ECMWF coupled forecast system: impact of ocean observations

Francisco J. Doblas-Reyes
ICREA and Institut Catala de Ciencies del Clima
Dr Trueta 203, 08005 Barcelona, Spain

Magdalena A. Balmaseda, Antje Weisheimer, Tim N. Palmer
ECMWF, Shinfield Park
RG2 9AX Reading, UK


Three ten-year ensemble decadal forecast experiments were performed with the ECMWF coupled forecast system using an initialization strategy common in seasonal forecasting where both the ocean and the atmosphere use analysis data. One initializes the ocean using data from an ocean-only simulation forced with data from an atmospheric re-analysis. The other two take the ocean initial conditions from an ocean-only run that assimilates subsurface observations. This is the first time that such a set of experiments was carried out. The coupled model drifts from the realistic initial conditions towards the model climate. The small drift differences found between the experiments suggest that in the tropics they are due to differences in latent heat and outgoing top of the atmosphere radiation in the first three forecast years. In the extratropics, the initial-condition differences between the experiments persist during the simulations, associated to a persistent difference in latent heat flux between the experiments initialized with and without ocean data assimilation. In spite of the drift, the decadal predictions show that the system is able to predict the interannual variability of the observed global and regional mean air temperature anomalies up to several years in the future. No significant forecast quality benefit of the assimilation of ocean observations is found over the extratropics, although a negative impact of the assimilation of incorrect XBT profiles is hinted at. The results illustrate the importance of reducing the important model drift, increasing the sample size typically adopted in decadal forecasting and reducing the ocean analysis uncertainty.



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