| End-to-end simulation of WCOM IMI sea surface salinity retrieval | |
| Li, Yan1; Liu, Hao1; Zhang, Aili1,2 | |
| 作者部门 | 微波遥感部 |
| 发表期刊 | Remote Sensing
 |
| 2019 | |
| 卷号 | 11期号:3 |
| DOI | 10.3390/rs11030217 |
| ISSN | 2072-4292 |
| 语种 | 英语 |
| 关键词 | Water Cycle Observation Mission (WCOM) interferometric microwave imager (IMI) one-dimensional (1D) aperture synthesis radiometer sea surface salinity (SSS) brightness temperature (TB) |
| 摘要 | The Water Cycle Observation Mission (WCOM) is an Earth science mission focused on the observation of the water cycle global climate change intensity through three different payloads. WCOM's main payload is an interferometric microwave imager (IMI). IMI is a tri-frequency, one-dimensional aperture synthesis microwave radiometer operating at the L-, S-, and C-bands to perform measurements of soil moisture and ocean salinity. Focusing on sea surface salinity (SSS), an end-to-end simulator of WCOM/IMI has been realized and tested on climatological data. Results indicate a general agreement between original and retrieved SSS, with a single measurement root mean square error of 0.26 psu and with an orbital measurement of 0.17 psu in open sea. In accordance with previous studies, good results are obtained in open sea, while strong contamination is observed in coastal areas. © 2019 by the authors. |
| 收录类别 | EI |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.nssc.ac.cn/handle/122/6949 |
| 专题 | 微波遥感部 |
| 作者单位 | 1.Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing; 100190, China; 2.University of Chinese Academy of Sciences, Beijing; 100094, China |
| 推荐引用方式 GB/T 7714 | Li, Yan,Liu, Hao,Zhang, Aili. End-to-end simulation of WCOM IMI sea surface salinity retrieval[J]. Remote Sensing,2019,11(3). |
| APA | Li, Yan,Liu, Hao,&Zhang, Aili.(2019).End-to-end simulation of WCOM IMI sea surface salinity retrieval.Remote Sensing,11(3). |
| MLA | Li, Yan,et al."End-to-end simulation of WCOM IMI sea surface salinity retrieval".Remote Sensing 11.3(2019). |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| 2019113.pdf（3222KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 请求全文 | |
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