| 云对地基微波辐射计反演湿度廓线的影响 |
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| 引用本文： | 车云飞,马舒庆,杨玲,邢峰华,李思腾.云对地基微波辐射计反演湿度廓线的影响[J].应用气象学报,2015,26(2):193-202. |
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| 作者姓名： | 车云飞 马舒庆 杨玲 邢峰华 李思腾 |
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| 作者单位： | 1.成都信息工程学院，成都 610225 |
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| 基金项目： | 公益性行业（气象）科研专项（GYHY200906035） |
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| 摘 要： | 利用中国气象局大气探测试验基地的L波段探空数据和微波辐射计观测数据，采用MonoRTM辐射传输模型作为正演亮温模型，BP (back propagation) 神经网络作为反演工具，在由亮温反演大气湿度廓线的过程中，添加与样本匹配的云底高度和云厚度信息，建立新的反演模型，使新反演模型得到的反演湿度廓线和未添加云信息的反演湿度廓线分别与探空数据进行对比，获取两种反演方法各高度层的均方根误差，分析云信息对反演大气湿度廓线的影响。对比结果表明:未添加云信息时，测试样本的反演湿度廓线与探空廓线的相关系数平均值为0.685，而添加云信息后，相关系数平均值为0.805。相比未添加云信息的反演廓线，添加云信息之后多数高度层的均方根误差均有不同程度减小，而在有云以上高度层表现尤为明显。
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| 关 键 词： | 微波辐射计 云信息 反演方法 大气湿度廓线 |
| 收稿时间： | 2014-10-21 |
| 修稿时间： | 1/8/2015 12:00:00 AM |
Cloud Influence on Atmospheric Humidity Profile Retrieval by Ground-based Microwave Radiometer |
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| Che Yunfei,Ma Shuqing,Yang Ling,Xing Fenghua and Li Siteng.Cloud Influence on Atmospheric Humidity Profile Retrieval by Ground-based Microwave Radiometer[J].Quarterly Journal of Applied Meteorology,2015,26(2):193-202. |
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| Authors: | Che Yunfei Ma Shuqing Yang Ling Xing Fenghua and Li Siteng |
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| Affiliation: | 1.Chengdu University of Information Technology, Chengdu 6102252.Meteorological Observation Center of CMA, Beijing 100081 |
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| Abstract: | There are a lot of limitations on measurement accuracy, cost and continuity of time in the meteorological sounding operations, which are two or four times a day. In order to obtain continuous atmospheric profile data, many methods are developed, among which the way of measuring atmospheric temperature and humidity profiles by the microwave radiometer is relatively mature. However, the ability of the microwave radiometer with infrared sensors is very limited in measuring the cloud, it can only get the height of cloud, and sometimes it brings large deviations. The deviation result in great uncertainty in distributed cloud microwave absorption, causing errors during the inversion of temperature and humidity profiles, so how to improve the accuracy of inversion on cloud is an urgent problem to solve. A method is implemented using atmospheric profiles from L-band sounding radar and brightness temperature observed with microwave radiometer, and MonoRTM is taken as a forward atmospheric radiative transfer model and the tool of retrieval is BP neural network. The matching cloud information is added and a new model of retrieval is created when retrieving atmospheric humidity profiles. Root mean square error (RMSE) values on each height layer with two kinds of inversion method are obtained and the impact of cloud information on atmospheric humidity profile retrieval is analyzed through comparison.Results show that the average of correlation between inversion humidity profiles is improved from 0.6850 to 0.8050 after adding cloud information. Compared with inversion profiles without cloud information, RMSE values on the vast majority of height layers after adding cloud information are reduced to various degrees, which is particularly obvious at layers with cloud.The study shows that the method of adding cloud information on the process of inversion is feasible. In order to improve the ability to observe the atmospheric profile lines in cloudy days, combined information of cloud distribution and brightness temperature of microwave radiation can be used to retrieve the temperature and humidity, in condition the joint observation of cloud radar and microwave radiation is available. |
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| Keywords: | microwave radiometer cloud information retrieval method atmospheric humidity profile |
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