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      Predicting basin and landfalling hurricane numbers from sea surface temperature

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          Abstract

          We are building a hurricane number prediction scheme based on first predicting main development region sea surface temperature (SST), then predicting the number of hurricanes in the Atlantic basin given the SST prediction, and finally predicting the number of US landfalling hurricanes based on the prediction of the number of basin hurricanes. We have described a number of SST prediction methods in previous work. We now investigate the empirical relationship between SST and basin hurricane numbers, and put this together with the SST predictions to make predictions of both basin and landfalling hurricane numbers.

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          The Effect of Vertical Shear on Tropical Cyclone Intensity Change

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            Improving Extended-Range Seasonal Predictions of Intense Atlantic Hurricane Activity

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              Statistical evidence links exceptional 1995 Atlantic Hurricane season to record sea warming

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                Author and article information

                Journal
                15 January 2007
                2007-01-29
                Article
                physics/0701170
                890170ca-3acc-44fb-8776-6b09725ead05
                History
                Custom metadata
                In version 1 we just looked at the relationship between SST and basin hurricane numbers. In version 2 we now additionally use this relationship to convert SST forecasts to predictions of hurricane numbers
                physics.ao-ph

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