Physics – Geophysics
Scientific paper
Dec 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007georl..3424805k&link_type=abstract
Geophysical Research Letters, Volume 34, Issue 24, CiteID L24805
Physics
Geophysics
1
Global Change: Climate Variability (1635, 3305, 3309, 4215, 4513), History Of Geophysics: Atmospheric Sciences, Hydrology: Modeling
Scientific paper
This paper presents a statistical model to forecast seasonal tropical cyclone activity. In order to give a comprehensive view of seasonal tropical cyclone activity, we include not only the number of total tropical cyclones but also the number of typhoons and the NTA (Normalized Typhoon Activity) index as the predictands. The model is based on a multiple linear regression model in which the final predictors are selected with respect to minimizing the prediction error rather than simply fitting with past data. The model is expanded into ensemble prediction by considering the uncertainty of the single and deterministic forecast. The probability forecast based on the ensemble model shows reasonably good skill with respect to reliability and relative operating characteristics.
Cha Eun-Jeong
Kwon Joe H.
Lee Woo-Jeong
Won Seong-Hee
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