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首页> 外文期刊>Acta Horticulturae >Statistical control charts for quality control of weather data for reference evapotranspiration estimation.
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Statistical control charts for quality control of weather data for reference evapotranspiration estimation.

机译：统计控制图，用于天气数据的质量控制，用于参考蒸散量估算。

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摘要

Data quality control is a necessary component of any weather station network. It is especially important for networks used for estimating reference evapotranspiration (ETo). The absence of a quality control program can result in poor quality ETo data that severely limits data usefulness for irrigation scheduling. Statistical quality control criteria were developed for assessing quality and reasonableness of hourly and daily weather data for the California Irrigation Management Information System (CIMIS) weather stations in San Joaquin, California, USA. The quality control criteria, based on means (X) and standard deviations ( sigma ), were developed from historical CIMIS weather station data. Two statistical quality control limits, 3 sigma and 2 sigma upper control limit and lower control limit, were developed. The two control limits were integrated into existing data screening rules forming new CIMIS data quality control criteria. A new version of a control chart, time variant control chart is introduced. Statistical control charts have been widely used in the manufacturing industry for process mean or variability monitoring and quality control. Control limits developed herein are similar to those used in the manufacture of products. Unlike in manufacturing where one seeks to attain a state of statistical control, these control limits are used to identify data that fall outside the control limits. Such data are then flagged with a quality control flag.
机译：数据质量控制是任何气象站网络的必要组成部分。对于用于估算参考蒸散量（ETo）的网络而言，这一点尤其重要。缺少质量控制程序可能会导致质量差的ETo数据，严重限制数据对灌溉计划的有用性。制定了统计质量控制标准，以评估美国加利福尼亚州圣华昆的加利福尼亚灌溉管理信息系统（CIMIS）气象站的每小时和每日天气数据的质量和合理性。基于均值（X）和标准差（sigma）的质量控制标准是根据CIMIS气象站的历史数据制定的。制定了两个统计质量控制限度，即3 sigma和2 sigma上控制限和下控制限。这两个控制限制已集成到现有数据筛选规则中，形成了新的CIMIS数据质量控制标准。引入了控制图的新版本，时变控制图。统计控制图已在制造业中广泛用于过程均值或变异性监视和质量控制。本文制定的控制限值与产品制造中使用的限值相似。与在制造中寻求达到统计控制状态的制造不同，这些控制极限用于识别超出控制极限的数据。然后用质量控制标记标记这些数据。

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