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Dynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIP
European Centre for Medium-Range Weather Forecasts, Reading, UK
Met Office, Exeter, UK
Météo-France, Toulouse, France
Met Office, Exeter, UK
European Centre for Medium-Range Weather Forecasts, Reading, UK
European Centre for Medium-Range Weather Forecasts, Reading, UK
Met Office, Exeter, UK
Department of Mathematics, University College London, London, UK
Met Office, Exeter, UK
European Centre for Medium-Range Weather Forecasts, Reading, UK
Most seasonal forecasts of Atlantic tropical storm numbers are produced using statistical-empirical models. However, forecasts can also be made using numerical models which encode the laws of physics, here referred to as “dynamical models”. Based on 12 years of re-forecasts and 2 years of real-time forecasts, we show that the so-called EUROSIP (EUROpean Seasonal to Inter-annual Prediction) multi-model ensemble of coupled ocean atmosphere models has substantial skill in probabilistic prediction of the number of Atlantic tropical storms. The EUROSIP real-time forecasts correctly distinguished between the exceptional year of 2005 and the average hurricane year of 2006. These results have implications for the reliability of climate change predictions of tropical cyclone activity using similar dynamically-based coupled ocean-atmosphere models.
Received 20 May 2007; accepted 19 July 2007; published 24 August 2007.
Citation: (2007), Dynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIP, Geophys. Res. Lett., 34, L16815, doi:10.1029/2007GL030740.
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