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The improved calibration method and retrieval models using advanced ground-based multi-frequency microwave sounder
Jieying He; Shengwei Zhang; 北京8701信箱
Department国家863计划微波遥感技术
Source PublicationRemote Sensing Science
2013
Volume1Issue:3Pages:27-40
ISSN2329-8138
Language英语
KeywordCalibration Artificial Neural Network Integrated Water Vapor Liquid Water Path Root Mean Square
AbstractThe paper presents an improved ground-based atmospheric microwave sounder with multi-frequency channels. Compared to international used atmospheric microwave sounder, the merits of the instrument is described. To derive more accurate brightness temperature from microwave sounder observation, the paper presents 4 calibration processes in different process to perfect the calibration, including LN2 calibration, tipping curve calibration, nonlinear correction and quasi real time calibration. Since the close relationship between cloud and integrated water vapor and liquid water content, the paper describes several cloud-judgment models, and presents an improved cloud modal considering all the characteristics of all cloud models. Furthermore, the objective of this study is to test ANN (Artificial Neural Network) methodology for the problems of integrated water vapor and liquid water path derivation, using the improved ground-based atmospheric microwave sounder brightness temperatures and surface information such as temperature, humidity, pressure and so on. Compared to the commonly used method linear regression, this paper built a better retrieval model using ANN theory which can be high nonlinear and provide a tool to fit function to data. The present model gave an average RMS(Root Mean Square)error of integrated water vapor and liquid water content are less than 0.05cm and 0.5mm dependent on the actual atmospheric situation.
Funding Project中国科学院空间科学与应用研究中心
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/2063
Collection微波遥感部
Corresponding Author北京8701信箱
Recommended Citation
GB/T 7714
Jieying He,Shengwei Zhang,北京8701信箱. The improved calibration method and retrieval models using advanced ground-based multi-frequency microwave sounder[J]. Remote Sensing Science,2013,1(3):27-40.
APA Jieying He,Shengwei Zhang,&北京8701信箱.(2013).The improved calibration method and retrieval models using advanced ground-based multi-frequency microwave sounder.Remote Sensing Science,1(3),27-40.
MLA Jieying He,et al."The improved calibration method and retrieval models using advanced ground-based multi-frequency microwave sounder".Remote Sensing Science 1.3(2013):27-40.
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