Comprehensive Quality Control Method and Effect Analysis of Brightness Temperature Data of Ground-based Microwave Radiometer

2019 International Conference on Meteorology Observations (ICMO) Pub Date : 2019-12-01 DOI:10.1109/ICMO49322.2019.9026041

Yin Chen, Jiajia Mao, Tao Li, Xuefen Zhang, Lei Wang

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Abstract

Based on the network observation data of seven stations in Beijing from 2018 to 2019, this paper proposes a set of comprehensive quality control and quality assessment method for the brightness temperature data of microwave radiometer. Different from other methods, this paper designs a quality control method for the influence of water film attached to the radome on the observation. In addition, in order to obtain more accurate simulation results, the Cloud Radar’s liquid water profile information is introduced when using the MonoRTM radiation transfer model to simulate the brightness temperature. The results of quality assessment show that the overall passing rate of bright temperature data of seven stations is above 67%, and the data availability rate is more than 70%. The availability of bright temperature of water vapor channel and oxygen channel increased by 3.74% and 1.38% respectively. The overall root mean square error of the seven sites before and after the deviation correction is 4.06K and 1.91K respectively.

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地基微波辐射计亮度温度数据综合质量控制方法及效果分析

基于2018 - 2019年北京7个站点的网络观测数据，提出了一套微波辐射计亮度温度数据的综合质量控制和质量评价方法。与其他方法不同的是，本文设计了一种天线罩附着水膜对观测结果影响的质量控制方法。此外，为了获得更精确的模拟结果，在使用MonoRTM辐射传输模型模拟亮度温度时，引入了云雷达的液态水剖面信息。质量评价结果表明，7个站点的亮温数据总体通过率在67%以上，数据可用率在70%以上。水蒸气通道和氧气通道的亮温有效性分别提高了3.74%和1.38%。校正前后7个站点的总体均方根误差分别为4.06K和1.91K。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2019 International Conference on Meteorology Observations (ICMO)

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