摘要
概述了安徽省自动土壤水分站的运行现状,对全省自动站数据质量进行了较为详细的分析,对人工和自动站数据两者间绝对误差及相关性进行分析,并探讨了导致自动站数据误差的主要原因,初步确定了安徽省自动土壤水分数据业务质量控制的方法。结果表明:对比观测期间部分站点人工和自动站数据存在较明显误差,个别站点数据误差甚至高达20%以上,但有近60%的站点各土层人工和自动站数据线性相关系数在0.7以上,为仪器的订正提供了重要依据;同时分析了自动站在干旱和降水前后数据运行的稳定性情况,进而为特殊土壤水分条件下自动站提出了更高的数据质量要求;结合安徽省实际情况建立了两种比较合理的自动土壤水分质量控制方法,为业务上数据质量控制及仪器运行状态监控提供了支持。
An overview of the current status of soil moisture observation stations and an analysis of data quality are conducted in detail, including absolute error and linear correlation between manual and automatic data, the main reason leading to the data errors, and data quality control methods. The results indicate that there are obvious errors between manual and automatic data in some stations during the period of comparative observation, far beyond the acceptance standard of the China Meteorological Administration, and data errors are even above 20% in some stations; however, in nearly 60 percent of stations, the linear correlation coefficient between manual and automatic data exceeds 0.7, which provides an important basis for instrument correction. Also the stability of data in case of drought and precipitation is analyzed, so to present higher quality data on the status of special soil moisture conditions. Considering the actual situation comprehensively, two relatively reasonable data quality control methods of automatic soil moisture measurements are established, which provide support for data quality control and supervision of equipment running status.
出处
《气象科技》
北大核心
2015年第3期399-404,共6页
Meteorological Science and Technology
基金
安徽省气象科技发展基金项目(KM201512)
公益性行业(气象)科研专项(GYHY201106027)资助
