| 注册
首页|期刊导航|气象|乌鲁木齐市气象塔梯度观测资料质量控制与处理

乌鲁木齐市气象塔梯度观测资料质量控制与处理

金莉莉 何清 李振杰 缪启龙 买买提艾力·买买提依明 赵逸舟

气象2016,Vol.42Issue(6):732-742,11.
气象2016,Vol.42Issue(6):732-742,11.DOI:10.7519/j.issn.1000-0526.2016.06.009

乌鲁木齐市气象塔梯度观测资料质量控制与处理

Quality Control Method and Treatment for Urumqi Meteorology Tower Gradient Observation Data

金莉莉 1何清 2李振杰 1缪启龙 2买买提艾力·买买提依明 3赵逸舟4

作者信息

  • 1. 中国气象局乌鲁木齐沙漠气象研究所,乌鲁木齐 830002
  • 2. 新疆塔克拉玛干沙漠大气环境观测试验站,塔中 841000
  • 3. 云南省临沧市气象局,临沧 677099
  • 4. 南京信息工程大学应用气象学院,南京 210044
  • 折叠

摘要

Abstract

This paper introduced geographical position of 5 100 m high meteorological towers in Urumqi.A series of quality control methods were advanced to deal with observation data,such as logical extreme check,static check,time consistency check and similarity check.Besides,a series of data interpolation methods were advanced to interpolation controlled data,such as four point moving average interpolation, <br> elements of vertical distribution fitting and linear regression.Especially in the treatment process,using manual intervention can make the test results more reliable.The quality control method was applied to da-ta from the 5100 m high meteorology towers from 1 April 2012 to 30 April 2014 in Urumqi.The results showed that the method can differentiate the missing,error and dubious.The data of 5 towers are reliable with normal data accounting for 97.17% of the total data,which is the best quality of Hongguangshan tower (normal data accounting for 99.01%of the total data).Abnormal data only account for a small pro-portion (accounting for 2 .83% of the total data),including missing data and error data.Missing data ac-counts for 6.23% of the abnormal data,which mainly occurred in Midong Tower and Yannanlijiao;error data accounts for 93.77% of the abnormal data.Among error data,false data accounts for 89.99% of the error data (mainly wind speed and wind direction);static data accounts for 5 .47%of the error data (main-ly air temperature and relative humidity);extreme error data accounts for 0.41%of the error data (mainly air temperature in Shuitashan Tower);consistency error data accounts for 4.13% of error data (mainly relative humidity in Yannanlijiao Tower).The effect of temperature and relative humidity interpolation are better by using the four points moving average interpolation method,elements of vertical distribution fit-ting method and linear regression method between different meteorological towers.

关键词

乌鲁木齐市/气象塔/质量控制/插值/观测资料

Key words

Urumqi/meteorology tower/quality control/interpolation/observation data

分类

天文与地球科学

引用本文复制引用

金莉莉,何清,李振杰,缪启龙,买买提艾力·买买提依明,赵逸舟..乌鲁木齐市气象塔梯度观测资料质量控制与处理[J].气象,2016,42(6):732-742,11.

基金项目

中国沙漠气象科学研究基金(Sqj2015009)、中央级公益性科研院所基本科研业务费专项资金(IDM201505)、公益性行业(气象)科研专项(GYHY(QX)201506001-14)共同资助 ()

气象

OA北大核心CSCDCSTPCD

1000-0526

访问量0
|
下载量0
段落导航相关论文