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Super-ensemble forecasts and resulting acoustic sensitivities in shallow waters
Rixen, M.; Le Gac, J.C.; Hermand, J.P.; Peggion, G.; Coelho, E. (2009). Super-ensemble forecasts and resulting acoustic sensitivities in shallow waters. J. Mar. Syst. 78: S290-S305. dx.doi.org/10.1016/j.jmarsys.2009.01.013
In: Journal of Marine Systems. Elsevier: Tokyo; Oxford; New York; Amsterdam. ISSN 0924-7963; e-ISSN 1879-1573
Peer reviewed article  
Available in  Authors 
    Vlaams Instituut voor de Zee: Open Marine Archive 279934 [ download pdf ]
Keyword
    Marine/Coastal
Author keywords
    Ocean-acoustic predictions; Multi-model super-ensemble; Sound speed;
Authors  Top 
  • Rixen, M.
  • Le Gac, J.C.
  • Hermand, J.P.
  • Peggion, G.
  • Coelho, E.
Abstract
    Multi-model Super-Ensembles (SE) which optimally combine different models, have been shown to significantly improve atmospheric weather and climate predictions. in the highly dynamic coastal ocean, the presence of small-scales processes, the lack of real-time data, and the limited skill of operational models at the meso-scale have so far limited the application of SE methods for acoustic Rapid Environmental Assessment purposes. In the framework of the BP07 experiment conducted South East of Elba, sound speed prediction skills of various SE techniques combining operational model outputs and in-situ measurements are assessed. Results suggest that SE-based predictions provide more robust 24 h forecasts. A detailed acoustic propagation sensitivity study at different frequencies and ranges also reviews the potential of these predictions for acoustic inversion and tomography efforts.
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