| 利用微波探测仪(ATMS)对在轨微波辐射计观测精度的模拟分析 |
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| 引用本文： | 杜明斌,王超,安大伟,李泓,李雪,杨何群. 利用微波探测仪(ATMS)对在轨微波辐射计观测精度的模拟分析[J]. 上海航天, 2018, 0(2): 66-72 |
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| 作者姓名： | 杜明斌 王超 安大伟 李泓 李雪 杨何群 |
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| 作者单位： | 上海市气象科学研究所;国家卫星气象中心;中国气象局上海台风研究所;上海航天电子技术研究所 |
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| 基金项目： | 国家自然科学基金面上项目(41475040)；上海市浦江人才计划项目(１７PJ１４０３４００)；公益性行业(气象)科研专项(GYHY２０１５０６０２２) |
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| 摘 要： | 微波辐射计的观测精度及其对数值模式同化应用的影响评估是微波辐射计观测指标设计的重要参考。基于微波探测仪(ATMS)资料,利用三维变分同化系统模拟分析在轨微波辐射计的观测精度指标。针对ATMS观测误差特征,在其观测基础上增加均值为零、标准偏差分别为0.5,1.0,1.5,2.0K的正态随机扰动,进而获得不同精度的观测模拟值序列,然后利用Harris和Kelley的辐射资料偏差订正经验方法订正不同精度的观测资料。偏差订正后,利用三维变分同化模式(WRFDA)直接同化ATMS资料。通过2016年6月6h预报场的同化试验,评估了不同观测精度的模拟资料对数值模式的同化影响。
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| 关 键 词： | 卫星资料 微波辐射计 直接同化 观测模拟 观测精度 质量控制 偏差订正 随机扰动 |
| 收稿时间： | 2017-10-15 |
| 修稿时间： | 2018-02-02 |
Simulation Analysis of Observation Accuracy of In-Orbit Microwave Radiometer UsingAdvanced Technology Microwave Sounder |
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| DU Mingbin,WANG Chao,AN Dawei,LI Hong,LI Xue and YANG Hequn. Simulation Analysis of Observation Accuracy of In-Orbit Microwave Radiometer UsingAdvanced Technology Microwave Sounder[J]. Aerospace Shanghai, 2018, 0(2): 66-72 |
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| Authors: | DU Mingbin WANG Chao AN Dawei LI Hong LI Xue YANG Hequn |
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| Affiliation: | Shanghai Institute of Meteorological Science, Shanghai 200030, China,Shanghai Institute of Meteorological Science, Shanghai 200030, China,National Satellite Meteorological Center , Beijing 100081, China,Shanghai Typhoon Institute of China Meteorological Administration, Shanghai 200030, China,Shanghai Aerospace Electronic Technology Institute, Shanghai 201100, China and Shanghai Institute of Meteorological Science, Shanghai 200030, China |
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| Abstract: | The observation accuracy of microwave radiometer and its influence evaluation of application in numerical model assimilation are important references for the design of microwave radiometer. Based on the data of advanced technology microwave sounder (ATMS), the three-dimensional (3D) variational assimilation system is used to analyze simulation of in-orbit microwave radiometer observation accuracy. According to the observation error characteristics of ATMS, the normal random perturbations with zero mean and standard deviations of 0.5, 1.0, 1.5, 2.0 K are added to the satellite observation, so simulated observation sequences of different accuracies are obtained. Then, Harris and Kelley''s radiometric data deviation correction method is used for observation data. After deviation correction, ATMS data are directly assimilated based on 3D variational assimilation model WRFDA. The assimilation of numerical models is evaluated by assimilation experiments of the 6 h forecast field in June, 2016, and the simulation data of different observation accuracies are evaluated. |
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| Keywords: | satellite data microwave radiometer direct assimilation observation simulation observation accuracy quality control deviation correction random perturbation |
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