Study on the effect of radio frequency interference on the accuracy of SMOS sea surface salinity data

Wang Xinxin; Wang Xiang; Zhao Jianhua; Fan Jianchao; Wang Jin; Han Zhen

doi:10.3969/j.issn.0253-4193.2017.11.013

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Article Navigation > Haiyang Xuebao > 2017 > 39(11): 141-147

Wang Xinxin, Wang Xiang, Zhao Jianhua, Fan Jianchao, Wang Jin, Han Zhen. Study on the effect of radio frequency interference on the accuracy of SMOS sea surface salinity data[J]. Haiyang Xuebao, 2017, 39(11): 141-147. doi: 10.3969/j.issn.0253-4193.2017.11.013

Citation:

Wang Xinxin, Wang Xiang, Zhao Jianhua, Fan Jianchao, Wang Jin, Han Zhen. Study on the effect of radio frequency interference on the accuracy of SMOS sea surface salinity data[J]. Haiyang Xuebao, 2017, 39(11): 141-147. doi: 10.3969/j.issn.0253-4193.2017.11.013

Citation:

Wang Xinxin, Wang Xiang, Zhao Jianhua, Fan Jianchao, Wang Jin, Han Zhen. Study on the effect of radio frequency interference on the accuracy of SMOS sea surface salinity data[J]. Haiyang Xuebao, 2017, 39(11): 141-147. doi: 10.3969/j.issn.0253-4193.2017.11.013

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Study on the effect of radio frequency interference on the accuracy of SMOS sea surface salinity data

doi: 10.3969/j.issn.0253-4193.2017.11.013

1.
Marine Resources and Environment Monitoring Center, National Marine Environmental Monitoring Center, Dalian 116023, China
2.
College of Physics, Qingdao University, Qingdao 266071, China
3.
College of Marine Science, Shanghai Ocean University, Shanghai 201306, China

Received Date: 2016-10-19
Rev Recd Date: 2017-03-13

Abstract

Abstract

Scholars have done a lot of work in the assessment and validation of SMOS sea surface salinity (SSS) data since SMOS satellite data released, but rarely work have done in the Western Pacific Ocean(WPO) influenced by radio frequency interference (RFI), it will be of important significance on understanding of RFI influence on SMOS SSS date. The main method is matching the WOD13 in-situ SSS data with SMOS half-orbit SSS data, assessing the accuracy of SMOS data by statistics method. Results suggest that since SMOS is polluted by RFI sources located in west coast of the WPO, the RMSE of SMOS L2 SSS data in high risk area of RFI pollution is relatively low, and the highest RMSE can be achieved on 3.45, thus it can be seen that the RFI have a significant influence on SMOS satellite in the WPO, this has resulted in the loss of significant amount of data, especially in the China sea, how to detect and mitigate RFI is a scientific problem to be solved.
- radio frequency interference,
- microwave radiometry,
- SMOS satellite,
- sea surface salinity,
- validation

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References(14)

References

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