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The Analysis of Atmospheric Water Vapor Based on Ground-based Microwave Radiometer
He Jieying; Sun Fenglin; Zhang Shengwei; Zhang Yu; He, JY (reprint author), Chinese Acad Sci, CAS Grad Univ, Ctr Space Sci & Appl Res, Natl Microwave Remote Sensing Lab, Beijing, Peoples R China.
Department微波遥感部
Source PublicationADVANCED MATERIALS IN MICROWAVES AND OPTICS
2012
Pages335-340
Language英语
ISSN1013-9826
AbstractThe paper introduces a widely used atmospheric absorption models: MPM by Liebe in 1989. Using this absorption model, the paper simulates the temperature and humidity weighting functions and brightness temperature according to the different frequencies and bandwidth of the multi-channel ground-based microwave radiometer. The results show that simulated brightness temperatures are very well agreement with the observation values with an acceptable root mean square error. This paper uses widely used retrieval method of artificial neural network to obtain the water vapor density profiles and calculates the root mean square error of each dataset. Also, to improve the accuracy of retrievals, this paper adopts multi-layers neural network which has two hidden layers. The results show that the retrievals of water vapor density profiles based on ground-based microwave radiometer are agreement with the water vapor density profile which is observed by radiosonde.; The paper introduces a widely used atmospheric absorption models: MPM by Liebe in 1989. Using this absorption model, the paper simulates the temperature and humidity weighting functions and brightness temperature according to the different frequencies and bandwidth of the multi-channel ground-based microwave radiometer. The results show that simulated brightness temperatures are very well agreement with the observation values with an acceptable root mean square error. This paper uses widely used retrieval method of artificial neural network to obtain the water vapor density profiles and calculates the root mean square error of each dataset. Also, to improve the accuracy of retrievals, this paper adopts multi-layers neural network which has two hidden layers. The results show that the retrievals of water vapor density profiles based on ground-based microwave radiometer are agreement with the water vapor density profile which is observed by radiosonde.
KeywordAtmospheric Absorption Model Ground-based Root Mean Square Err Water Vapor Density Profile
Conference NameInternational Conference on Advanced Materials in Microwaves and Optics (AMMO 2011)
Conference DateSEP 30-OCT 01, 2011
Conference PlaceBangkok, THAILAND
Indexed ByEI ; CPCI
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/3348
Collection微波遥感部
Corresponding AuthorHe, JY (reprint author), Chinese Acad Sci, CAS Grad Univ, Ctr Space Sci & Appl Res, Natl Microwave Remote Sensing Lab, Beijing, Peoples R China.
Recommended Citation
GB/T 7714
He Jieying,Sun Fenglin,Zhang Shengwei,et al. The Analysis of Atmospheric Water Vapor Based on Ground-based Microwave Radiometer[C]. STAFA-ZURICH:TRANS TECH PUBLICATIONS LTD,2012:335-340.
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