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AMDAR温度观测的误差统计特征分析

王瑞文 万晓敏 田伟红 王丹

气象2016,Vol.42Issue(3):330-338,9.
气象2016,Vol.42Issue(3):330-338,9.DOI:10.7519/j.issn.1000-0526.2016.3.008

AMDAR温度观测的误差统计特征分析

Statistical Characteristics Analysis for AMDAR Temperature Observation Error

王瑞文 1万晓敏 1田伟红 1王丹1

作者信息

  • 1. 国家气象中心,北京 100081
  • 折叠

摘要

Abstract

Error structural characteristic of observation data is one of the most important factors that affect data assimilation.The error structural characteristics of observation data in GRAPES come from numerical weather prediction system abroad.In order to improve the application effect of aircraft meteorological data relay (AMDAR)data,statistical analysis of the temperature difference between AMDAR data and NCEP reanalysis data is done according to different latitude zones,flight states,and identifications.The AM-DAR data is from real-time database in National Meteorological Information Centre (NMIC),and the peri-od of time for the data is May-July 2013.The statistical results show that there is a maximum tempera-ture bias in the mid-latitude (20°-50°N)of Northern Hemisphere,where the number of AMDAR data is at most.The temperature bias is about -2--1℃,and the standard deviation of temperature is about 1 .2-1 .6℃.The temperature standard deviation varies with latitude zones in different flight states.The min-imum standard deviation of temperature appears in cruise phase in the equatorial region (20°S-50°N),be-ing about 0 .8℃.The maximum standard deviation of temperature appears in cruise phase in the high lati-tude (50°-90°N)of the Northern Hemisphere,and it is about 1 .5-2℃.By analyzing the error character of AMDAR data,we can do better in quality control and bias correction,improving the effect of data as-similation and forecasting.

关键词

AMDAR/误差特征/飞行状态

Key words

AMDAR (aircraft meteorological data relay)/error character/flight state

分类

天文与地球科学

引用本文复制引用

王瑞文,万晓敏,田伟红,王丹..AMDAR温度观测的误差统计特征分析[J].气象,2016,42(3):330-338,9.

基金项目

公益性行业(气象)科研专项(GYHY201406005)、GRAPES专项(GRAPES-FZZX-2015-05)和国家气象中心青年基金(Q201510)共同资助 ()

气象

OA北大核心CSCDCSTPCD

1000-0526

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