陕西省新一代天气雷达估测降水准确度评估和数据处理平台开发

发布时间：2018-06-21 02:16

本文选题：雷达估测降水 + 准确度　；参考：《西安电子科技大学》2014年硕士论文

【摘要】：陕西北方黄土高原南部秦巴山区,地理和地质结构异常复杂。南北延绵800公里以上,地理气候南北差异很大。在大气变化的各种要素中,降水一直对人类各种活动产生着重要影响,尤其是在经济社会高速发展的今天,更是受到人们倍多关注。在我省,超过70%的年降雨量主要集中在7-9月,多为短时暴雨、雷阵雨。暴雨已成为对陕西威胁最大的气象灾害之一。高时空分辨率的定量估测降水产品对短时临近预警预报尤为重要,同时对工农业生产、云降水物理研究、人工影响天气、水文预报及防汛减灾等都有重要的指导作用。新一代天气雷达(CINRAD/CB)可以提供高时空的定量估测降水产品。但由于其沿用的定量估测降水关系(Z?300R1.4),未能区分降水类型、季节,造成降水产品偏差很大,一直无法被真正应用到预报当中。同时,现在的雷达处理软件(PUP)在降水方面只提供量化后的色阶图,致使开发人员无法进行二次开发,严重影响了雷达估测降水资料的使用。本文通过收集我省6部CINRAD/CB天气雷达17次有雨时段的雷达估测降水产品,在对雷达产品解析后,引入全省约1500个雨量计数值,共计完成数据处理397556对,其中有效数据7771对。经过统计分析完成对不同雨情下我省各个雷达站估测降水准确度的定量评估。之后,通过对影响雷达估测降水准确度因子和质量控制算法的研究,将主要影响我省雷达估测降水的6个因子及处理方法引入到新的雷达数据处理软件系统当中。并对引入不同算法前后的雷达效果图进行比对。为了更进一步提高雷达估测降水的准确度,不仅在新系统中雷达站可以完成对Z I?关系参数的调整,更重要的是引入雨量计数据,通过最优插值的方法来完成雷达降水估测值的实时订正。随机选取雨量站,在新系统和PUP生成的1小时降水产品(OHP)中进行对比,发现新系统估测降水量更接近真实值。同时,为了便于后期开发其他降水产品,新系统中为开发人员提供了解析后的原始雷达降水数据。
[Abstract]:The geographical and geological structure of Qinba Mountain area in the southern Loess Plateau of Shaanxi Province is very complicated. The north-south stretches more than 800 kilometers, the geographical climate north-south difference is very big. Among the various elements of atmospheric change, precipitation has always had an important impact on human activities, especially in the rapid economic and social development today, more attention has been paid to it. In our province, more than 70% of the annual rainfall mainly concentrated in July-September, mostly short term rainstorm, thunderstorm. Rainstorm has become one of the most threatening meteorological disasters in Shaanxi. Quantitative estimation of precipitation products with high spatial and temporal resolution is particularly important for short-term early warning and forecast, and also plays an important guiding role in industrial and agricultural production, cloud precipitation physics research, artificial influence weather, hydrological forecast and flood prevention and mitigation. The new generation of weather radar CINRAD / CBs can provide quantitative precipitation estimation products with high time and space. However, due to the relationship between quantitative precipitation estimation and precipitation estimation, it is unable to distinguish the precipitation types and seasons, which results in a great deviation of precipitation products and can not be used in forecasting. At the same time, the current radar processing software (PUP) only provides the quantized color scale map in precipitation, which makes it impossible for developers to carry out secondary development, which seriously affects the use of radar precipitation estimation data. In this paper, we collect the precipitation estimation products of 6 CINRAD / CB weather radars in 17 rainy periods in our province. After analyzing the radar products, we introduce about 1 500 rain-gauge values in the whole province, and complete the data processing 397556 pairs, of which 7771 pairs of effective data. Through statistical analysis, the accuracy of rainfall estimation at different radar stations in our province is evaluated quantitatively. After that, through the research on the accuracy factor and quality control algorithm of radar precipitation estimation, six factors and processing methods which mainly affect radar precipitation estimation in our province are introduced into the new radar data processing software system. The radar effect map before and after the introduction of different algorithms is compared. In order to further improve the accuracy of radar precipitation estimation, not only in the new system radar station can complete the ZI? It is more important to introduce the rain-meter data into the adjustment of relational parameters and to complete the real-time correction of radar precipitation estimation by the method of optimal interpolation. The rainfall stations were randomly selected and compared with the pup-generated one-hour precipitation product (OHP). It is found that the new system is closer to the real value of precipitation estimation. At the same time, in order to facilitate the later development of other precipitation products, the new system provides the original radar precipitation data for developers.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN959.4

【相似文献】