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METHOD AND SYSTEM FOR PHYSICAL-STATISTICAL PREDICTION FOR SUMMER EXTREME TEMPERATURE EVENTS OVER SOUTH KOREA

机译:韩国夏季极端温度事件的物理统计预测方法和系统

摘要

A method for predicting physical statistics of the frequency of occurrence of extreme temperatures in summer in Korea and a system for predicting physical statistics of frequency of occurrence of extreme temperatures in Korea are disclosed. According to an embodiment of the present invention, a method for predicting physical statistics for the frequency of occurrence of extreme temperatures in Korea in summer includes the steps of calculating an anomaly sea level temperature for a specific sea area for March to May for each past year, and during a year. Comprising the frequency of occurrence of extreme temperature observed at the predicted point during June to August, and a plurality of sea surface temperature anomalies having a correlation between the frequency of occurrence of the extreme temperature and a reference value or more by multiple linear regression analysis. Checking the calculation area, selecting n sea level areas satisfying the selected correlation condition among the calculation areas (where n is a natural number within 3), and determining the sea level temperature anomaly in each sea level area. And predicting the frequency of occurrence of extreme temperatures in the summer of this year at the predicted points from the predictive models constructed by using them.
机译:公开了一种用于预测韩国夏季极端温度发生频率的物理统计的方法和一种用于预测韩国夏季极端温度发生频率的物理统计的系统。根据本发明的实施例,一种用于预测夏季韩国极端温度发生频率的物理统计的方法包括以下步骤:计算过去一年中每年3-5月特定海域的异常海平面温度。 ,并在一年内。通过多元线性回归分析,包括在6月至8月在预测点处观察到的极端温度的发生频率,以及在极端温度的发生频率与参考值之间具有相关性的多个海面温度异常。检查计算区域,在计算区域中选择满足所选相关条件的n个海平面区域(其中n为3内的自然数),并确定每个海平面区域的海平面温度异常。并根据使用它们构建的预测模型在今年的预测点预测极端温度的发生频率。

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