Statistical guidance on seasonal forecast of Korean dust days over South Korea in the springtime

Autor: Keon Tae Sohn
Rok vydání: 2013
Předmět:
Zdroj: Advances in Atmospheric Sciences. 30:1343-1352
ISSN: 1861-9533
0256-1530
DOI: 10.1007/s00376-012-2112-x
Popis: This study aimed to develop the seasonal forecast models of Korean dust days over South Korea in the springtime. Forecast mode was a ternary forecast (below normal, normal, above normal) which was classified based on the mean and the standard deviation of Korean dust days for a period of 30 years (1981–2010). In this study, we used three kinds of monthly data: the Korean dust days observed in South Korea, the National Center for Environmental Prediction in National Center for Atmospheric Research (NCEP/NCAR) reanalysis data for meteorological factors over source regions of Asian dust, and the large-scale climate indices offered from the Climate Diagnostic Center and Climate Prediction Center in NOAA. Forecast guidance consisted of two components; ordinal logistic regression model to generate trinomial distributions, and conversion algorithm to generate ternary forecast by two thresholds. Forecast guidance was proposed for each month separately and its predictability was evaluated based on skill scores.
Databáze: OpenAIRE
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