Applying artificial neural networks to modeling the middle atmosphere
文献类型：期刊论文
| 作者 | Xiao Cunying1,2; Hu Xiong1 |
| 刊名 | Advances in atmospheric sciences
 |
| 出版日期 | 2010-07-01 |
| 卷号 | 27期号:4页码:883-890 |
| 关键词 | Artificial neural network Middle atmosphere Modeling Back-propagation algorithm Nrlmsise-00 model |
| ISSN号 | 0256-1530 |
| DOI | 10.1007/s00376-009-9019-1 |
| 通讯作者 | Xiao cunying(xiaocy@cssar.ac.cn) |
| 英文摘要 | An artificial neural network (ann) is used to model the middle atmosphere using a large number of timed/saber limb sounding temperature profiles. a three-layer feed-forward network is chosen based on the back-propagation (bp) algorithm. latitude, longitude, and height are chosen as the input vectors of the network while temperature is the output vector. the temperature observations during the period from 13 january through 16 march 2007, which are in the same satellite yaw, are taken as samples to train an ann. results suggest that the network has high quality for modeling spatial variations of temperature. quantitative comparisons between the ann outputs and those from the popular empirical nrlmsise-00 model illustrate their generally consistent features and some specific differences. the nrlmsise-00 model's zonal mean temperatures are too high by similar to 6 k-10 k near the stratopause, and the amplitude and phase of the planetary wave number 1 activity are different in some respects from the ann simulations above 45-50 km, suggesting improvement is needed in the nrlmsise-00 model for more accurate simulation near and above the stratopause. |
| WOS关键词 | TEMPERATURE ; RETRIEVAL |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| WOS类目 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000278929300014 |
| 出版者 | SCIENCE PRESS |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2412091 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Xiao Cunying |
| 作者单位 | 1.Chinese Acad Sci, Ctr Space Sci & Appl Res, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xiao Cunying,Hu Xiong. Applying artificial neural networks to modeling the middle atmosphere[J]. Advances in atmospheric sciences,2010,27(4):883-890. |
| APA | Xiao Cunying,&Hu Xiong.(2010).Applying artificial neural networks to modeling the middle atmosphere.Advances in atmospheric sciences,27(4),883-890. |
| MLA | Xiao Cunying,et al."Applying artificial neural networks to modeling the middle atmosphere".Advances in atmospheric sciences 27.4(2010):883-890. |
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来源：中国科学院大学
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