| 晴空卫星红外模拟资料反演大气温度廓线的研究 |
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| 引用本文： | 黄静,邱崇践,张艳武.晴空卫星红外模拟资料反演大气温度廓线的研究[J].高原气象,2005,24(6):913-919. |
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| 作者姓名： | 黄静 邱崇践 张艳武 |
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| 作者单位： | 1. 兰州大学,大气科学学院,甘肃,兰州,730000
2. 中国科学院,寒区旱区环境与工程研究所,甘肃,兰州,730000 |
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| 基金项目： | 国家自然科学基金项目（40375009）资助 |
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| 摘 要： | HIRS／3资料的反演是一个典型的非适定问题，而奇异值分解法（SVD）是一种解病态线性代数方程组的有效方法，它在遇到矩阵的不适定问题时依然可以保持其数值稳定性并能尽量多地利用各探测通道的有效信息。将SVD方法应用于卫星资料的温度反演问题中可以将资料空间和参数空间分型，从中提取有效信息来反演大气温度廓线。通过理想资料试验，分析了温度廓线初猜值、水汽廓线误差等因素对温度反演结果的影响。结果表明：对HIRS／3资料来说，用SVD法反演大气温度廓线时只能截取一定的阶数，以取4～7为宜；温度廓线初猜值的选取对反演结果的影响较大，当模式层的中层误差较大时得到的反演结果最稳定；水汽廓线的扰动对中低层的温度反演结果和第5，8，10，11和16通道的亮温值有较大影响。
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| 关 键 词： | 奇异值分解法 反演 辐射传输模式 气象卫星 大气温度 |
| 文章编号： | 1000-0534（2005）06-0913-07 |
| 收稿时间： | 2004-08-10 |
| 修稿时间： | 2004-08-102005-01-11 |
The Study of Retrieving Clear Atmospheric Temperature Profile with Satellite Infrared Simulation Data |
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| HUANG Jing,QIU Chong-jian,ZHANG Yan-wu.The Study of Retrieving Clear Atmospheric Temperature Profile with Satellite Infrared Simulation Data[J].Plateau Meteorology,2005,24(6):913-919. |
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| Authors: | HUANG Jing QIU Chong-jian ZHANG Yan-wu |
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| Institution: | 1. College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China;2. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China |
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| Abstract: | The inversion of HIRS/3 data is a typical ill-posed problem. SVD is an effective method which can solve ill-conditioned linear equations. It can keep numerical stability and utilize more effective information of each detection channels when it met the ill-posed problem of matrix. With SVD method, the data space and parameter space were classed and the effective information was extracted to retrieve temperature profiles. The ideal data tests analyzed some influence factors to retrieval results. These influence factors include temperature first-guess profile and vapor profile. The results indicate that for HIRS/3 data, the truncation exponent number of SVD can be chosen from four to seven, the first-guess profile has some effect on the retrieval and the inversion results are the steadiest when the errors in middle-level were biggish; the perturbation of vapor profile also has some biggish effect on the temperature retrieval results in middle-low levels and the brightness temperature in five, eight, ten, eleven and sixteen channels. |
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| Keywords: | Singular value decomposition Inversion Radiative transfer model |
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