Structure parameters from 4D radar data for quantitative determination of areal precipitation

将开发一种方法，将地面降雨率与常规天气雷达的数据和其他数据来源联系起来。为此，通过适当措施对主要在雷达数据中确定的典型结构和参数及其组合以及在可操作的非雷达数据集(作为标准气象产品)中确定的典型结构和参数及其组合进行量化。将通过考虑平均值和方差来量化结构和参数，后者反映了降水情况的较大自然变异性。根据这些信息，建立了最重要的量(雷达和非雷达)之间的相关性，最终目标是根据那些相关性最高的量来确定地面的降雨率。因此，预计地面降雨率是由雷达和非雷达数据的组合来表示的。概述的程序还提供了一个质量指数，表明要为实际降水事件导出的关系的有效性和限度。

A method will be developed to relate rain rates at ground to data from conventional weather radars and to other data sources. To this end, typical structures and parameters ¿ and combinations of them - identified mainly in the radar data and also in sets of non-radar data operationally available (as standard meteorological products) are quantified by appropriate measures. Quantification of structures and parameters will be done by taking into account mean values as well as variances where the latter reflect the large natural variability of precipitation situations. Based on these information correlations between the most important quantities (radar and non-radar) are established with the ultimate goal to specify rain rate at ground as depending on those quantities showing the highest correlation. Thus, it is expected that rain rate at ground is expressed by a combination of radar and non-radar data. The procedure outlined provides also a quality index indicating validity and limits of the relation to be derived for an actual precipitation event.