论文部分内容阅读
本文提出排序配对逼近法来拟合１９９３—１９９４年１３１４次雷达和雨量计的取样资料，这样既弥补了线性回归法的不足，又提高了区域降水估测的精度。由误差分析知道：估测１０００ｋｍ２以上区域的降水时，对双线偏振雷达而言，其估测精度将极有可能降低到１０％以下且比常规雷达有明显改善；双线偏振雷达的两种估测公式之间差异不大；按降水强弱分型处理可提高常规雷达估测精度，但对双线偏振雷达估测无有利影响
In this paper, a sort-matching approximation method is proposed to fit the sampling data of 1314 radars and gauges from 1993 to 1994, which not only makes up for the deficiencies of linear regression but also improves the precision of regional precipitation estimation. From the error analysis, it is known that when estimating the precipitation above 1000km2, the accuracy of the estimation will be reduced to less than 10% for dipolarized radars and significantly improved compared with that of conventional radars. Two types of birefringent polarizers There is not much difference between the estimation formulas; according to the type of precipitation, the precision of routine radar can be improved, but it has no beneficial effect on the estimation of two-line polarization radar