1979~2011년, 북극진동지수 측면에서의 겨울철 남한지역신적설과 최저 온도 특성
A Characteristic of Wintertime Snowfall and Minimum Temperature with Respect to Arctic Oscillation in South Korea During 1979~2011
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초록
A characteristic of snowfall and minimum temperature variability in South Koreawith respect to the variability of Arctic Oscillation (AO) was investigated. The climatic snowfallregions of South Korea based on daily new fresh snowfall data of 59 Korea MeteorologicalAdministration (KMA) stations data corresponding to the sign of AO index duringDecember to February 1979~2011 were classified. Especially, the differences between snowfallsof eastern regions and that of western regions in South Korea were seen by each mean1000hPa geopotential height fields, which is one of physical structure, for the selected casesover the East Asia including the Korean Peninsula. Daily minimum temperature variability of59 KMA station data and daily AO index during the same period were investigated usingCyclo-stationary empirical orthogonal function (CSEOF) analysis. The first CSEOF of wintertimedaily AO index and that of minimum temperature of 59 KMA stations explain 33% and66% of total variability, respectively. Correlation between principal component time series correspondingto the first CSEOF of AO index and that of temperature at the period of 1990s isover about −0.7 when that of AO index leads about 40 days.
Abstract
A characteristic of snowfall and minimum temperature variability in South Koreawith respect to the variability of Arctic Oscillation (AO) was investigated. The climatic snowfallregions of South Korea based on daily new fresh snowfall data of 59 Korea MeteorologicalAdministration (KMA) stations data corresponding to the sign of AO index duringDecember to February 1979~2011 were classified. Especially, the differences between snowfallsof eastern regions and that of western regions in South Korea were seen by each mean1000hPa geopotential height fields, which is one of physical structure, for the selected casesover the East Asia including the Korean Peninsula. Daily minimum temperature variability of59 KMA station data and daily AO index during the same period were investigated usingCyclo-stationary empirical orthogonal function (CSEOF) analysis. The first CSEOF of wintertimedaily AO index and that of minimum temperature of 59 KMA stations explain 33% and66% of total variability, respectively. Correlation between principal component time series correspondingto the first CSEOF of AO index and that of temperature at the period of 1990s isover about −0.7 when that of AO index leads about 40 days.
참고문헌 (22)
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