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兰州CAWS600-R自动站与人工观测资料对比分析
引用本文:王宝鉴,陈旭辉,陶健红,陆登荣.兰州CAWS600-R自动站与人工观测资料对比分析[J].气象科技,2004,32(4):281-285290.
作者姓名:王宝鉴  陈旭辉  陶健红  陆登荣
作者单位:1. 中国气象局兰州干旱气象研究所
2. 兰州中心气象台,兰州,730020
基金项目:甘肃省气象局“自动气象站资料管理及业务应用研究”课题资助
摘    要:利用2002年11月到2003年2月兰州CAWS600-R型自动站与人工观测的温度、本站气压、水汽压、相对湿度、5~320cm地温等资料,分析了对比观测资料的差值。结果表明:对气温、本站气压、水汽压、相对湿度及320cm地温等要素观测误差较小,5~160cm地温的观测误差较大。自动观测仪器的系统性偏差、测量元件的精度及对气象要素变化响应的灵敏度、观测时间的差异和人为因素的影响是造成对比观测误差的原因。

关 键 词:CAWS600-R自动站  人工观测资料  差异  资料处理

Comparison Study of CAWS600-R AWS Data and Conventional Observation
Wang Baojian,Chen Xuhui,Tao Jianhong,Lu Dengrong.Comparison Study of CAWS600-R AWS Data and Conventional Observation[J].Meteorological Science and Technology,2004,32(4):281-285290.
Authors:Wang Baojian  Chen Xuhui  Tao Jianhong  Lu Dengrong
Institution:Wang Baojian1 Chen Xuhui2 Tao Jianhong2 Lu Dengrong2
Abstract:A comparison was made using automatic weather station measurements and conventional observations from November 2002 to February 2003 (temperature, pressure, vapor-pressure, relative humidity and soil temperature of 5 cm to 320 cm in the winter of 2002. The results show that observational errors are relatively small for temperature, station-pressure, vapor-pressure, relative humidity, and soil temperature of 320 cm, and greater for soil temperatures of 5 cm to 160 cm. The chief reasons for observational errors include systematical errors, observational precision, and the sensitivity of the system's responding to changes of weather elements and observational time, as well as some artificial factors.
Keywords:CAWS600-R automatic weather station  conventional observation  difference analysis
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