| 人工神经网络法反演晴空大气湿度廓线的研究 |
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| 引用本文： | 刘旸,官莉.人工神经网络法反演晴空大气湿度廓线的研究[J].气象,2011,37(3):318-324. |
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| 作者姓名： | 刘旸 官莉 |
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| 作者单位： | 南京信息工程大学大气物理学院,南京,210044 |
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| 基金项目： | 公益性行业科研专项(GYHY200806014)资助 |
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| 摘 要： | 高光谱分辨率大气红外探测器AIRS(Atmospheric Infrared Sounder)作为第一个超高光谱大气红外探测仪,开辟了卫星大气探测的新时代.以无线电探空值与SARTA(Stand-Alone Radiative Transfer Algorithm辐射传输模式)v1.05版的前向模式模拟出的AIRS辐射...
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| 关 键 词： | 神经网络 BP网络 AIRS 湿度反演 特征向量统计法 |
| 收稿时间： | 2010/4/22 0:00:00 |
| 修稿时间： | 8/3/2010 12:00:00 AM |
Study on the Inversion of Clear Sky Atmospheric Humidity Profiles with Artificial Neural Network |
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| LIU Yang and GUAN,Li.Study on the Inversion of Clear Sky Atmospheric Humidity Profiles with Artificial Neural Network[J].Meteorological Monthly,2011,37(3):318-324. |
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| Authors: | LIU Yang and GUAN Li |
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| Institution: | School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044;School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044 |
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| Abstract: | AIRS(Atmospheric Infrared Sounder), the first high spectral atmospheric infrared detector, started a new era of satellite sounding atmosphere. The samples, composed of the radiosonde observations and the AIRS brightness temperature value simulated by the SARTA (Stand Alone Radiative Transfer Algorithm)v1.05 forward mode, were inversed to the atmospheric humidity profiles using neural network. The results show that, compared with the result of eigenvector statistics, the neural network inversion is of higher precision, and the humidity profiles obtained are closer to the true profiles. AIRS displays the fine structure of the atmosphere because of its high spectral resolution (high vertical resolution).Neural network has a strong nonliner processing capability in the issue that the inversion of the atmospheric humidity profiles is based on high spectral data. |
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| Keywords: | neural network BP network AIRS (Atmospheric Infrared Sounder) humidity retrieval eigenvector statistics algorithm |
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