Hourly sea surface temperature fusion based on Himawari-8 satellite

Zhou Xuan; Ye Xiaomin; Zhou Jiangtao; Yang Xiaofeng

doi:10.12284/hyxb2021011

Volume 43 Issue 1

Feb. 2021

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Zhou Xuan，Ye Xiaomin，Zhou Jiangtao, et al. Hourly sea surface temperature fusion based on Himawari-8 satellite[J]. Haiyang Xuebao，2021, 43(1)：137–146 doi: 10.12284/hyxb2021011

Citation:

Zhou Xuan，Ye Xiaomin，Zhou Jiangtao, et al. Hourly sea surface temperature fusion based on Himawari-8 satellite[J]. Haiyang Xuebao，2021, 43(1)：137–146 doi: 10.12284/hyxb2021011

Citation:

Zhou Xuan，Ye Xiaomin，Zhou Jiangtao, et al. Hourly sea surface temperature fusion based on Himawari-8 satellite[J]. Haiyang Xuebao，2021, 43(1)：137–146 doi: 10.12284/hyxb2021011

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Hourly sea surface temperature fusion based on Himawari-8 satellite

doi: 10.12284/hyxb2021011

1.
61741 Troops of PLA, Beijing 100094, China
2.
National Satellite Ocean Application Service, Beijing 100081, China
3.
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

Received Date: 2019-11-26
Rev Recd Date: 2020-01-06

Available Online: 2021-02-24

Publish Date: 2021-01-25

Abstract

Abstract

Himawari-8 is a new generation geostationary meteorological satellite launched by the Japan Meteorological Agency, and provides the important observation data for merging hourly sea surface temperature (SST). This paper uses the optimal interpolation method to provide the hourly Northwest Pacific SST based on the Advanced Himawari Imagery(AHI) SST, the Global Change Observation Mission-Water (GCOM-W1) Advanced Microwave Scanning Radiometer 2 (AMSR2) SST and North-East Asian Regional–Global Ocean Observing System (NEAR-GOOS) SST. The diurnal SST variation and the bias between multi-source SSTs are the two significant factors affecting the accuracy of hourly SST fusion products. In order to make full use of SST at the adjacent time and improve the accuracy, a diurnal variation model of Himawari-8 AHI SST is established by using the matchup data set, which contains simultaneous Himawari-8 AHI SST and European Centre for Medium-Range Weather Forecasts wind data at the same location. In addition, a bias correction method based on Poisson’s equation is applied to correct GCOM-W1 AMSR2 SST biases relative to the AHI SST. The experimental results show that the diurnal warming calculated by the hourly SST fusion product is closely related to sea surface wind speed, which indirectly confirms the accuracy of the hourly SST fusion products. The root mean square difference and bias between the hourly SST fusion product and NEAR-GOOS SST are 0.89℃ and 0.09℃, respectively. The results show that the hourly SST fusion product is basically consistent with the in situ SST.
- Himawari-8 satellite,
- hourly sea surface temperature fusion,
- diurnal variation correction,
- bias correction

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References(14)

References

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