CINRAD/CB Precipitation Estimation Accuracy Assessment And Development Of Data Processing Platform Of Shaanxi Province

Loess Plateau in northern and Qinba Mountain in Southern of Shaanxi, geographical and geological structure is very complex. Stretches over 800 km from north to south, north and south have very different geography and climate. Changes in the various elements of the atmosphere, precipitation always have an important impact in human’s every activities, especially in the rapid development of economical society, especially to get people to pay more attention. In the province, more than 70% of the annual rainfall is concentrated in the July-September, short heavy rain, thunderstorms accounted for the majority. Storm has become one of the biggest threats in meteorological disaster of Shaanxi. high spatial and temporal resolution in Quantitative estimation of precipitation products is particularly important for short-term forecasting of approaching warning, also for industrial and agricultural production, cloud and precipitation physics, artificial influence on weather, hydrological forecasting and flood mitigation and so on have an important role in guiding. New Generation Weather Radar(CINRAD / CB) can provide high spatial and temporal quantitative estimation of precipitation products. However, it adopted the relations of quantitative precipitation estimation(1.4Z ?300R), does to distinguish in types of precipitation, season, resulting in the precipitation product deviation is large, has been unable to be really applied to the weather forecast. Meanwhile, the current radar processing software(PUP) only Provide the quantized levels map in terms of precipitation, Lead to developers unable to carry on the re development, serious impact on the use of radar rainfall estimation data.By collecting 17 times The products of radar rainfall estimation When it rains from Shaanxi Province six CINRAD/CB weather radar, after parsing of radar products, the introduction of the province’s rain gauge value of about 1500, a total of 397,556 pairs of complete data processing, where the effective data 7771 pairs. statistical analysis completed the accuracy quantitatively assess of Shaanxi Province every radar station’s radar rainfall estimate. After that, by studying the impact on the accuracy of radar rainfall estimation factor and quality control algorithm, introducing to the mainly affect radar estimated precipitation 6 factors of our province and treatment methods in the new radar data processing software system. comparing before and after the radar renderings of different algorithms. To further improve the accuracy of radar rainfall estimation, not only in the new system every radar station can be done to adjust the parameters of the Z I? relationship, the more important is theintroduction of rain gauge data, through the optimal interpolation method to complete the real-time correction of radar rainfall estimate value.. Randomly selected rainfall stations, comparing one hour precipitation products from the new system and PUP(OHP) generated, found that the estimate precipitation of new system is closer to the true value. Meanwhile, in order to facilitate the later development of other precipitation products, the new system provides the parsed precipitation radar raw data for developers.