DSG5型降水现象仪的数据评估分析

Data evaluation and analysis of DSG5 precipitation phenomenon instrument

选取2018年1月至12月降水现象仪自动观测数据和人工观测记录,对DSG5型降水现象仪进行评估和分析。结果表明,数据完整性较好,仅0.07%的缺测率。数据准确性通过捕获率、漏报率、空报率和错报率来分析,其中捕获率较高,平均为95.63%,但对弱降水的识别还需改进;漏报率较高,平均漏报率为33.62%;空报率和错报率较低,分别为17.81%和2.68%,但存在错误识别雪和冰雹的现象。降水现象仪数据一致性较差,因观测数据分散不连续导致,需进一步改进质控方法。

The automatic observation data and manual observation records from January to December 2018 were selected to evaluate and analyze the DSG5 precipitation phenomenon instrument.The results showed that the data integrity was good,with a missing rate of only 0.07%.The data accuracy was analyzed by the capture rate,missed report rate,empty report rate,and false report rate.The capture rate was higher,with an average of 95.63%,but the identification of weak precipitation remained to be improved.The missing report rate was high,which reached 33.62%;the empty report and false report rate was lower,17.81%and 2.68%,respectively,but there was a false recognition of snow and hail.The data consistency of the precipitation phenomenon instrument was poor because the observation data was scattered and discontinuous.Hence,the quality control method needs to be further improved.