The Analysis of Atmospheric Water Vapor Based on Ground-based Microwave Radiometer
文献类型：会议论文
| 作者 | He Jieying; Sun Fenglin; Zhang Shengwei; Zhang Yu |
| 出版日期 | 2012 |
| 会议名称 | International Conference on Advanced Materials in Microwaves and Optics (AMMO 2011) |
| 会议日期 | SEP 30-OCT 01, 2011 |
| 会议地点 | Bangkok, THAILAND |
| 关键词 | Atmospheric absorption model Ground-based Root mean square err Water vapor density profile |
| 页码 | 335-340 |
| 通讯作者 | He, JY (reprint author), Chinese Acad Sci, CAS Grad Univ, Ctr Space Sci & Appl Res, Natl Microwave Remote Sensing Lab, Beijing, Peoples R China. |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 收录类别 | EI ; CPCI |
| 会议录 | ADVANCED MATERIALS IN MICROWAVES AND OPTICS
 |
| 会议录出版者 | TRANS TECH PUBLICATIONS LTD |
| 学科主题 | 微波遥感 |
| 会议录出版地 | STAFA-ZURICH |
| 语种 | 英语 |
| ISSN号 | 1013-9826 |
| 源URL | [http://ir.nssc.ac.cn/handle/122/3348]  |
| 专题 | 国家空间科学中心_微波遥感部 |
| 推荐引用方式 GB/T 7714 | He Jieying,Sun Fenglin,Zhang Shengwei,et al. The Analysis of Atmospheric Water Vapor Based on Ground-based Microwave Radiometer[C]. 见:International Conference on Advanced Materials in Microwaves and Optics (AMMO 2011). Bangkok, THAILAND. SEP 30-OCT 01, 2011. |
入库方式： OAI收割
来源：国家空间科学中心
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