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Binary Forecast of Asian Dust Days over South Korea in the Winter Season
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 Title & Authors
Binary Forecast of Asian Dust Days over South Korea in the Winter Season
Sohn, Keon-Tae; Lee, Hyo-Jin; Kim, Seung-Bum;
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 Abstract
This study develops statistical models for the binary forecast of Asian dust days over South Korea in the winter season. For this study, we used three kinds of data; the rst one is the observed Asian dust days for a period of 31 years (1980 to 2010) as target values, the second one is four meteorological factors(near surface temperature, precipitation, snowfall, ground wind speed) in the source regions of Asian dust based on the NCEP reanalysis data and the third one is the large-scale climate indices. Four kinds of statistical models(multiple regression models, logistic regression models, decision trees, and support vector machines) are applied and compared based on skill scores(hit rate, probability of detection and false alarm rate).
 Keywords
Asian dust days;categorical forecast;NCEP reanalysis data;climate indices;
 Language
Korean
 Cited by
1.
영아대상 세 범주 천식예보 가이던스,손건태;

Journal of the Korean Data Analysis Society, 2012. vol.14. 2, pp.669-679
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