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• W1560756462 abstract "Forecasting rapid intensification (hereafter referred to as RI) of tropical cyclones in the Atlantic Basin is still a challenge due to a limited understanding of the meteorological processes that are necessary for predicting RI. To address this challenge, this study considered large-scale processes as RI indicators within tropical cyclone environments. The large-scale processes were identified by formulating composite map types of RI and non-RI storms using NASA MERRA data from 1979 to 2009. The composite fields were formulated by a blended RPCA and cluster analysis approach, yielding multiple map types of RI’s and non-RI’s. Additionally, statistical differences in the large-scale processes were identified by formulating permutation tests, based on the composite output, revealing variables that were statistically significantly distinct between RI and non-RI storms. These variables were used as input in two prediction schemes: logistic regression and support vector machine classification. Ultimately, the approach identified midlevel vorticity, pressure vertical velocity, 200–850 hPa vertical shear, low-level potential temperature, and specific humidity as the most significant in diagnosing RI, yielding modest skill in identifying RI storms." @default.
• W1560756462 created "2016-06-24" @default.
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• W1560756462 date "2015-01-01" @default.
• W1560756462 modified "2023-10-10" @default.
• W1560756462 title "Synoptic-Scale Precursors to Tropical Cyclone Rapid Intensification in the Atlantic Basin" @default.
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• W1560756462 doi "https://doi.org/10.1155/2015/814043" @default.
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