Research Of The Precipitation Estimation Mothed With Of Dopplor Weather Radar Reflectivity And Rainfall Auto-Gauge Data

Using of dopplor weather radar base data and rainfall auto-gauge data from Qingdao Meteorogical Bureau, rainfall estimation mothed is researched.Auto rainfall gauge data is consided as true data by single dot methed and average methed, and rainfall estimation error only from the effort of the time studied. Subjective suppose is set of in range power methed and variational methed, base on maths mostly, but not base on weather radar rule. So , the error analysis is difficult to made, and against with betterment, and against woking with other one. Weather radar rule Kalman filter method worked on is clear. Not only real-time rainfall gauge data effort , but also history effort is consided, that remarkable real-time error is againsted. Meanwhile, the error analysis is made easily, and methods working together seemed likehood. Then, it is chosen while Qingdao Meteorogical Bureau dopplor weather radar joint rainfall auto gauge data estimation precipitation method being researched.Space-continuity, average value limit, dip limit, and maximum value limit is done in weather radar data quality control, base on history data analysis of Qingdao Meteorogical Bureau dopplor weather radar. Reflectivity factor is chosen as mix scan, while radar beam blockage coefficients isn' t considered. A methed named smooth-average is designed for Grided radar data. And then grided radar data is cumulated as first-guess field. Quality control is done nothing for rainfall auto gauge data except maximum value limit. rainfall less than 5mm/h isn' t used for adjust radar rainfall guess.Considering of so much calculating is needed in real time running, parted modules methed is fitted on the program design. In addition, master program should be designed as running seperatly, while query terminal should be man -computer dialogue."Wipha" data is used for error analysis. Auto rainfall gauge data is considered as true value. Deviation and relative error analysis shows, adjust effort is better of samples between 20mm/h and 50mm/h. The reason is , samples lying in that range gets greatest power as adjust.Error analysis also shows, even at the same time, different type echos have different value of A and b factors in Z-I equation at Qingdao. How to get the values of A and b factors from history, and how to identify the type of echos in real-time program. To improving research , these are the most important matters.