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Hourly sea surface temperature fusion based on Himawari-8 satellite
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Xuan Zhou1, Xiaomin Ye2, Jiangtao Zhou1, Xiaofeng Yang3
Haiyang Xuebao | 2021, 43(1) : 137 - 146
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Haiyang Xuebao | 2021, 43(1): 137-146
Article
Hourly sea surface temperature fusion based on Himawari-8 satellite
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Xuan Zhou1, Xiaomin Ye2, Jiangtao Zhou1, Xiaofeng Yang3
Affiliations
  • 161741 Troops of PLA, Beijing 100094, China
  • 2National Satellite Ocean Application Service, Beijing 100081, China
  • 3State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
Published: 2021-01-25 doi: 10.12284/hyxb2021011
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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
Xuan Zhou, Xiaomin Ye, Jiangtao Zhou, Xiaofeng Yang. Hourly sea surface temperature fusion based on Himawari-8 satellite[J]. Haiyang Xuebao, 2021 , 43 (1) : 137 -146 . DOI: 10.12284/hyxb2021011
Year 2021 volume 43 Issue 1
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Article Info
doi: 10.12284/hyxb2021011
  • Receive Date:2019-11-26
  • Online Date:2026-02-26
  • Published:2021-01-25
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  • Received:2019-11-26
  • Revised:2020-01-06
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    161741 Troops of PLA, Beijing 100094, China
    2National Satellite Ocean Application Service, Beijing 100081, China
    3State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
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表12种不同金属材料的力学参数

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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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