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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Multiple linear regression model for the prediction of Changma onset date in Korea
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Multiple linear regression model for the prediction of Changma onset date in Korea

机译:多元线性回归模型预测韩国昌马疫情

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In this research, the multiple linear regression models for the prediction of the Changma onset in Korea have been developed. The predictors are based on correlation analysis between Changma onset dates over 30 years (1973-2002), and the winds and geopotential heights at high, middle, and low levels of the troposphere during the preceding 6 months (December to May). The clearest correlation was observed at 850 hPa geopotential height field in the preceding April among 6months. The fundamental meaning of this model indicates that Changma in Korea comes earlier when the Mascarene high becomes languished and the tropical storms around India and western North Pacific subtropical high (WNPSH) become strengthened. The reliability of this model has been tested and proved by statistical cross-validation analysis, and additionally, has been analysed for differences in the 850 hPa stream flows for those years that Changma comes earlier and later. From the preceding April onwards, the Mascarene high tends to become weakened so that the cross-equatorial flow is strengthened along the African east coast. The cross-equatorial flow fortifies the tropical storms around Indian as it moves to the east. In the long run, the flow is influenced so that the WNPSH is more developed to the north, influencing Changma rain band to move north faster. To determine why Changma comes later in Korea, the water equivalent of accumulated snow depth (WEASD) difference between the late and early onset phases in the preceding April has been analysed. The result indicated that WEASD had a positive value for most East Asian regions. Since the snow reflects solar radiation by the Albedo effect, it decreases the difference in temperature between continents and oceans by decreasing the surface air temperature. The result has been confirmed by analysing the sensible heat net flux (SHTFL) difference between the two phases. In this way, small temperature gaps between continents and oceans weaken the WNPSH allowing Changma rain band to more slowly move north.
机译:在这项研究中,已经开发了预测韩国昌马发病的多元线性回归模型。这些预测因子基于过去30个月(1973-2002年)昌马发病日期与对流层高,中,低水平风速和前6个月(12月至5月)中的地势高度之间的相关性分析。在前四个月的六个月中,在850 hPa地势高度场观察到最明显的相关性。该模型的基本含义表明,当Mascarene高压变暗并且印度和北太平洋西部副热带高压(WNPSH)周围的热带风暴增强时,韩国的昌马来得更早。该模型的可靠性已通过统计交叉验证分析进行了测试和证明,此外,还分析了昌马来迟的那些年中850 hPa流量的差异。从上一个四月开始,Mascarene高压趋势趋于减弱,因此沿赤道的赤道径流在非洲东海岸得到加强。越过赤道,印度洋向东移动时就加强了热带风暴。从长远来看,水流受到影响,因此WNPSH向北发展,影响了昌马雨带向北移动的速度更快。为了确定昌马为什么迟到韩国,已经分析了前4月下旬和早期发病阶段之间积雪深度(WEASD)差异的水当量。结果表明,WEASD在大多数东亚地区具有积极价值。由于积雪通过反照率效应反射太阳辐射,因此它会通过降低地表空气温度来降低大陆与海洋之间的温度差。通过分析两相之间的显热网通量(SHTFL)差异已证实了该结果。这样,大陆和海洋之间的小温差削弱了WNPSH,从而使昌马雨带向北缓慢移动。

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