Evaluation of the Performance of Two Different Types of Precipitation Phenomenon Meters in Precipitation Observation
To evaluate the performance of DSG1 and DSG5 precipitation phenomenon meters in measuring precipitation,this article uses the precipitation data collected by two types of precipitation phenomenon meters and automatic weather stations of two adjacent national meteorological observatories in southern Shandong Province from September 2017 to August 2020 because of their consistency in precipitation process features,intensity and duration.The evaluation results are as follows:(1)The precipitation time numbers observed by the two precipitation phenomenon meters and automatic weather stations are basically the same,but the observed precipitation time numbers from the two precipitation phenomenon meters are about 2.2％and 3.7％more than those by automatic weather stations,respectively.(2)The minutely precipitation,hourly precipitation and daily precipitation of these two phenomenon meters are all less than those of automatic weather stations.(3)At moderate precipitation intensity and below,the precipitation amounts measured by the two precipitation phenomenon meters are basically the same,but when the precipitation intensity is larger,their measured precipitation amounts are different and scattered.(4)The variations of the percentage mean values of the difference between the two precipitation phenomenon meters and automatic weather stations in the minutely,hourly and daily precipitation show that the performance of the two precipitation phenomenon meters is slightly different in measuring precipitation.In conclusion,the two precipitation phenomenon meters have shown good performance in observation operations due to their difference from the rain gauges of automatic weather stations in measurement principles and spatio-temporal resolutions,and they can record the start and end time of precipitation earlier and more accurately.
precipitation phenomenon metersautomatic weather stationprecipitation amountpercentage of difference
NETL
NSTL
万方数据
