Impact of Ocean Waves on Guanlan’s IRA Measurement Error
The National Laboratory for Marine Science and Technology of China proposed the Guanlan ocean science satellite project in order to observe mesoscale and submesoscale ocean phenomena more effectively. In the project, the interferometric radar altimeter (IRA) is a main payload to be used to retrieve...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-05-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/10/1534 |
| _version_ | 1827717068444663808 |
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| author | Yining Bai Yunhua Wang Yanmin Zhang Chaofang Zhao Ge Chen |
| author_facet | Yining Bai Yunhua Wang Yanmin Zhang Chaofang Zhao Ge Chen |
| author_sort | Yining Bai |
| collection | DOAJ |
| description | The National Laboratory for Marine Science and Technology of China proposed the Guanlan ocean science satellite project in order to observe mesoscale and submesoscale ocean phenomena more effectively. In the project, the interferometric radar altimeter (IRA) is a main payload to be used to retrieve sea surface height (SSH) by means of interferometric imaging technology. Sea state is one of the important factors that affect the accuracy of the SSH that is retrieved by IRA. In the present work, the effects of velocity bunching and layover induced by sea waves are numerically simulated. The results demonstrate that the SSH would be significantly underestimated due to velocity bunching. On the other hand, the layover effect of sea waves along range direction would decrease (destroy) the coherence between the master-slave IRA images and then increase the random altimetry noise. Spatial smoothing is one of the main methods for reducing the residual error of sea waves. Here, we propose a theoretical formula to evaluate the residual error of sea waves for different wavelength, significant wave height and wave direction. The conclusions obtained in this work are helpful for better understanding the influence of sea state on the SSH retrieved by IRA. |
| first_indexed | 2024-03-10T19:53:36Z |
| format | Article |
| id | doaj.art-7283e27243604d24a3e7b817e57c631d |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T19:53:36Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-7283e27243604d24a3e7b817e57c631d2023-11-20T00:08:28ZengMDPI AGRemote Sensing2072-42922020-05-011210153410.3390/rs12101534Impact of Ocean Waves on Guanlan’s IRA Measurement ErrorYining Bai0Yunhua Wang1Yanmin Zhang2Chaofang Zhao3Ge Chen4Department of Marine Technology, Ocean University of China, Qingdao 266100, ChinaDepartment of Marine Technology, Ocean University of China, Qingdao 266100, ChinaDepartment of Physics, Ocean University of China, Qingdao 266100, ChinaDepartment of Marine Technology, Ocean University of China, Qingdao 266100, ChinaDepartment of Marine Technology, Ocean University of China, Qingdao 266100, ChinaThe National Laboratory for Marine Science and Technology of China proposed the Guanlan ocean science satellite project in order to observe mesoscale and submesoscale ocean phenomena more effectively. In the project, the interferometric radar altimeter (IRA) is a main payload to be used to retrieve sea surface height (SSH) by means of interferometric imaging technology. Sea state is one of the important factors that affect the accuracy of the SSH that is retrieved by IRA. In the present work, the effects of velocity bunching and layover induced by sea waves are numerically simulated. The results demonstrate that the SSH would be significantly underestimated due to velocity bunching. On the other hand, the layover effect of sea waves along range direction would decrease (destroy) the coherence between the master-slave IRA images and then increase the random altimetry noise. Spatial smoothing is one of the main methods for reducing the residual error of sea waves. Here, we propose a theoretical formula to evaluate the residual error of sea waves for different wavelength, significant wave height and wave direction. The conclusions obtained in this work are helpful for better understanding the influence of sea state on the SSH retrieved by IRA.https://www.mdpi.com/2072-4292/12/10/1534Guanlaninterferometric radar altimeterocean wavessea surface height |
| spellingShingle | Yining Bai Yunhua Wang Yanmin Zhang Chaofang Zhao Ge Chen Impact of Ocean Waves on Guanlan’s IRA Measurement Error Remote Sensing Guanlan interferometric radar altimeter ocean waves sea surface height |
| title | Impact of Ocean Waves on Guanlan’s IRA Measurement Error |
| title_full | Impact of Ocean Waves on Guanlan’s IRA Measurement Error |
| title_fullStr | Impact of Ocean Waves on Guanlan’s IRA Measurement Error |
| title_full_unstemmed | Impact of Ocean Waves on Guanlan’s IRA Measurement Error |
| title_short | Impact of Ocean Waves on Guanlan’s IRA Measurement Error |
| title_sort | impact of ocean waves on guanlan s ira measurement error |
| topic | Guanlan interferometric radar altimeter ocean waves sea surface height |
| url | https://www.mdpi.com/2072-4292/12/10/1534 |
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