文档介绍：1 地温异常数据原因分析及处理方法程爱珍, 王超球, 许嘉玲 ( 广西自治区气象信息中心广西南宁 530022) 摘要:在近几年对自动气象站观测数据进行质量控制中,地温出现异常数据较为常见,有些异常数据比较明显,有些异常数据却很隐蔽。笔者通过几个实例分析,发现导致异常数据原因主要有两个:一是仪器故障引起;另一种是人为造成。文章针对地温异常数据种类,结合天气学原理、气象要素的时间、空间变化规律和各要素间相互联系的规律进行分析,对于不同类型的异常数据,根据实际情况提出不同的处理方法, 确保了资料的质量。并指出在自动站观测仪器不能正常工作时,建议观测员对缺测要素进行人工补测,尽可能使缺测的要素及缺测时次减小到最小值,最大限度地保证资料的完整。关键词:地温;异常数据;原因分析;处理方法 Cause Analysis And Processing Meth od Of Geothermal Anomaly Data Cheng Aizhen, Wang Chaoqiu, Xu Jiangling ( Guangxi Meteorological Information Center, Guangxi, Nanning, 530022 ) Abstract: Recent years, in the quality control of the automatic weather station observation data , Geothermal temperature appear data exception was mon ,some of abnormal data are more obvious , Some is very hidden. Based on the analysis of several examples , the analysis reveals that there are two main causes of abnormal data, one is the equipment failure; the other is man-made. According to the geothermal anomaly data types, the relationship among synoptic meteorology, the time of Meteorological elements, the law of spatial variation and the mutual relations of elements was discussed. Towards different types of abnormal data, according to the actual situation , different processing methods were proposed to ensure the quality of the data. And pointed out that observer were proposed to do the artificial supplement of the missing elements when the aut