Physics – Geophysics
Scientific paper
Aug 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007georl..3416815v&link_type=abstract
Geophysical Research Letters, Volume 34, Issue 16, CiteID L16815
Physics
Geophysics
20
Mathematical Geophysics: Probabilistic Forecasting (3238), Atmospheric Processes: Global Climate Models (1626, 4928), Space Weather: Forecasting (2722)
Scientific paper
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.
Davey Michael K.
Déqué M.
Huddleston M. R.
Ineson S.
Palmer T. N.
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