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Automated Quality Control Procedure for the 'Water Equivalent of Snow on the Ground' Measurement

机译:“地面上的雪水当量”测量的自动化质量控制程序

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摘要

Snow water equivalent (SWE) has been measured daily by the United States National Weather Service since 1952, whenever snow depth is 2 in. (5 cm) or greater. These data are used to develop design snow loads for buildings, for hydrological forecasting,and as an indicator of climate change. To date they have not been subjected comprehensively to quality control. An automated quality control procedure for these data is developed here, which checks daily SWE values for common data entry errors, values beyond reasonable limits, and consistency with daily precipitation and estimated melt. Potential effects of drifting in high winds and of the intrinsic microscale variability of SWE are also considered. An SWE measurement is declared suspicious if a sufficient discrepancy is found with respect to the expected SWE. Data values flagged as potential errors are checked manually. Results of applying the procedure to available SWE data from the northeastern United States are also summarized.
机译:自1952年以来,每当雪深为2英寸(5厘米)或更大时,雪水当量(SWE)便由美国国家气象局进行测量。这些数据用于开发建筑物的设计雪荷载,进行水文预报并作为气候变化的指标。迄今为止,还没有对它们进行全面的质量控制。在此开发了针对这些数据的自动质量控制程序,该程序检查每日SWE值是否存在常见的数据输入错误,超出合理限制的值以及与每日降水量和估计熔体的一致性。还考虑了强风中的漂移和SWE固有的微观尺度变化的潜在影响。如果发现与预期的SWE有足够的差异,则SWE度量值可疑。标记为潜在错误的数据值将手动检查。还总结了将该程序应用于来自美国东北部的可用SWE数据的结果。

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