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SPATIAL DOWN-SCALING METHOD WITH REGIONAL CHARACTERISTICS

机译:具有区域特征的空间向下缩放方法

摘要

The present invention relates to a scale specification method reflected with spatial characteristics for each region, and more particularly, to a spatial scale specification method of probability prediction data, which comprises: a step (1) of collecting probability prediction data based on a probability prediction system; a step (2) of calculating a spatial hardness value for each point with respect to each grid point of the collected probability prediction data which is the first grid scale; and a step (3) of performing spatial scale specification for the probability prediction data collected in the step (1) by using the spatial hardness value for each point calculated in the step (2) to generate high-resolution prediction data of a second grid scale detailed more than the first grid scale of the probability prediction data. According to the scale specification method reflected with spatial characteristics for each region, a spatial hardness value for each point reflected with spatial characteristics of each region is calculated, and spatial scale specification is performed by using the spatial hardness value for each point such that spatial scale specification of a variable, in which regionality can be greatly exhibited, is rapidly and effectively performed.
机译:本发明涉及一种反映每个区域的空间特征的尺度指定方法,尤其涉及一种概率预测数据的空间尺度指定方法,该方法包括:步骤(1),基于概率预测收集概率预测数据。系统;步骤(2),相对于作为第一网格尺度的所收集的概率预测数据的每个网格点,计算每个点的空间硬度值;步骤(3),通过使用在步骤(2)中计算出的每个点的空间硬度值,对在步骤(1)中收集的概率预测数据进行空间比例指定,以生成第二网格的高分辨率预测数据比例尺比概率预测数据的第一网格比例尺更详细。根据反映每个区域的空间特性的比例尺指定方法,计算反映出每个区域的空间特性的每个点的空间硬度值,并通过使用每个点的空间硬度值来执行空间比例尺指定,以使空间比例尺可以快速有效地执行对变量的指定,在该变量中可以显着体现区域性。

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