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Quality assurance of surface wind observations from automated weather stations

机译:来自自动气象站的地面风观测的质量保证

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摘要

Meteorological data of good quality arc important for understanding both global and regional climates In this respect, great efforts have been made to evaluate temperature- and precipitation-related records This study summarizes the evaluations made to date of the quality of wind speed and direction records acquired at 41 automated weather stations in the northeast of the Iberian Peninsula Observations were acquired from 1992 to 2005 at a temporal resolution of 10 and 30 min A quality assurance system was imposed to select) the records for 1) manipulation errors associated with storage and management of the data. 2) consistency limits to to ensure that observations ale within their natural limits of variation, and 3) temporal consistency to assess abnormally low/high variations in the individual time series In addition. the most important biases of the dataset are analyzed and corrected wherever possible A total of 1 8% wind speed and 3 7% wind direction records was assumed invalid. pointing to specific problems in wind measurement The study not only tiles to contribute to the science with the creation of a wind damsel of unmoved quality. but it also reports on potential errors that could be plc:sent in other wind datasets
机译:高质量的气象数据对于理解全球和区域气候都非常重要。在这方面,已做出很大的努力来评估与温度和降水有关的记录。本研究总结了迄今为止对所获得的风速和风向记录质量的评估从1992年至2005年,在伊比利亚半岛东北部的41个自动气象站中,以10和30分钟的时间分辨率获取了观测数据。实施了质量保证体系,以选择1)记录,与存储和管理相关的操作错误数据。 2)一致性限制以确保观测值在其自然的变化范围内,并且3)时间一致性以评估各个时间序列中的异常低/高变化。尽可能地分析和纠正数据集中最重要的偏差。假定总共1 8%的风速和3 7%的风向记录无效。指出风量测量中的特定问题该研究不仅通过创建质量不变的风流姑娘来为科学做出贡献。但它也报告了可能在其他风力数据集中发送的潜在错误

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