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遥感技术与应用
模型与反演     
地基微波辐射计的亮温观测与模拟数据的一致性分析和云检测
马丽娜1,2,李青1,2,姜苏麟1,2,雷连发3,李东帅4,王振会1,2
(1.南京信息工程大学 气象灾害预报预警与评估协同创新中心 中国气象局重点实验室,江苏 南京 210044;
2.南京信息工程大学 大气物理学院,江苏 南京 210044;
3.西安电子工程研究所,陕西 西安 710000;
4.南京信息工程大学地球系统模拟中心,江苏 南京 210044)
Consistency Analysis of Experimental and Simulated Brightness Temperature based on Ground-based Microwave Radiometer and Cloud Detection
Ma Lina1,2,Li Qing1,2,Jiang Sulin1,2,Lei Lianfa3,Li Dongshuai4,Wang Zhenhui1,2
(1.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,China Meteorlogical Administration CMA Key Laboratory of Aerosol-Cloud-Precipitation,Nanjing University of Information Science & Technology,Nanjing 210044,China;2.School of Atmospheric Physics,Nanjing University of Information Science & Technology,Nanjing 210044,China;3.Xi’an Electronic Engineering Research Institute,Xi’an 710000,China;
4.Earth System Simulation Center,Nanjing University of Information Science &Technology,Nanjing 210044,China)
 全文: PDF(6819 KB)  
摘要:
为了利用辐射计观测数据“晴空样本”判断辐射计各通道的工作状态,并找出各通道的订正关系、进一步研究“云天样本”,针对在广州市从化区进行观测试验的一台微波辐射计的亮温观测数据(TBM)和相应地点的NCEP大气层结资料,通过辐射传输方程计算得到模拟数据(T BC)并进行全样本一致性对比,根据多通道亮温差值阈值法识别出“晴空样本”与“云天样本”(以及少量歧义数据)。对“晴空”样本进行回归分析,判断该辐射计的工作状态、建立T BM-T BC订正关系,并应用于“全样本”观测数据进行线性订正。根据辐射计云底高度数据与订正后的亮温差值的时间序列对比,证明了多通道亮温差值阈值法识别晴空效果较好。经过订正后的“晴空样本”可直接用于后续的大气温湿度反演流程,而识别出的“云天样本”(含雨天)为后续云参数反演及亮温数据的云影响订正并进入下一步的大气温湿度反演流程打下了基础。
关键词: 地基微波辐射计回归分析线性订正    
Abstract: In order to estimate the working state of the radiometry channels by using “clear sky” samples and to find out the correction relationship for each channel to further investigate the “cloud” samples,we firstly make a consistency analysis of observed brightness temperature data (T BM) obtained from Microwave Radiometer located in Conghua district of Guangzhou province and the simulated brightness temperature data (T BC) calculated by using NCEP atmospheric profile data based on the radiative transfer equation.Then,the “clear sky” samples and "cloud" samples (including few ambiguous data) are identified using multi-channel brightness temperature difference threshold method.Finally,the linear correction for the "clear sky" samples based on the regression analysis are used to establish the correction relationship between T BM and T BC to estimate the working state of the ground-based microwave radiometer.According to the comparison of the time series between the cloud bottom height data of radiometer and the corrected brightness temperature,it is proved that the multi-channel brightness temperature difference threshold method is good to identify the clear sky.The corrected “clear sky” samples can be directly used in the subsequent air temperature and humidity inversion process,and the identified “cloud” samples (including rain samples) provide a base for the subsequent cloud parameter inverse algorithm and the cloud effect correction of the brightness temperature data,which can be further used in the subsequent inverse of the air temperature and humidity for all the samples.


Key words: Ground-based microwave radiometer    Regression analysis    Linear correction
收稿日期: 2016-03-02 出版日期: 2018-03-16
:  P413  
基金资助: 国家自然科学基金项目 (41675028)和江苏高校优势学科建设工程资助项目(PAPD)资助。
作者简介: 马丽娜(1992-),女,辽宁朝阳人,硕士研究生,主要从事大气遥感科学与技术方面的研究。E-mail:Maryna@163.com。
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引用本文:

马丽娜,李青,姜苏麟. 地基微波辐射计的亮温观测与模拟数据的一致性分析和云检测[J]. 遥感技术与应用, 10.11873/j.issn.1004-0323.2018.1.0068.

Ma Lina,Li Qing,Jiang Sulin. Consistency Analysis of Experimental and Simulated Brightness Temperature based on Ground-based Microwave Radiometer and Cloud Detection. Remote Sensing Technology and Application, 10.11873/j.issn.1004-0323.2018.1.0068.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2018.1.0068        http://www.rsta.ac.cn/CN/Y2018/V33/I1/68

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