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《Acta Scientiarum Naturalium Universitatis Pekinensis》 2014-06
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Sensitivity Experiment of Monte Carlo Tomography Algorithm of Water Vapor Using GPS Data

WANG Jiuke;LIU Xiaoyang;MAO Jietai;ZHAO Chunsheng;Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University;National Marine Environmental Forecasting Center;  
The data of the network of 13 GPS are used to perform the sensitivity tests for the important parameters of the Monte Carlo tomography algorithm such as the average distance of the GPS stations, tomography temporal resolution and Monte Carlo random times. The accuracy of tomography rises with the decrease of the average station distance and the increase of the random times. However the decrease of the temporal resolution of the tomography does not help much to the accuracy of the tomography. A new way is also proposed to obtain the final tomography field. The final tomography field is obtained by averaging "sub-optimal" tomography fields instead of the one "optimal", and it is proved to reduce the error by around 30%.
【Fund】: 国家公益性行业(气象)科研专项(GYHY200906025);; 国家重点基础研究发展计划(2011CB403402)资助
【CateGory Index】: P228.4;P412
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