Acta Oceanologica Sinica

, Volume 37, Issue 9, pp 41–49 | Cite as

A new global gridded sea surface temperature product constructed from infrared and microwave radiometer data using the optimum interpolation method

  • Weifu Sun
  • Jin WangEmail author
  • Jie Zhang
  • Yi Ma
  • Junmin Meng
  • Lei Yang
  • Junwei Miao


A new 0.1° gridded daily sea surface temperature (SST) data product is presented covering the years 2003–2015. It is created by fusing satellite SST data retrievals from four microwave (WindSat, AMSR-E, ASMR2 and HY-2A RM) and two infrared (MODIS and AVHRR) radiometers (RMs) based on the optimum interpolation (OI) method. The effect of including HY-2A RM SST data in the fusion product is studied, and the accuracy of the new SST product is determined by various comparisons with moored and drifting buoy measurements. An evaluation using global tropical moored buoy measurements shows that the root mean square error (RMSE) of the new gridded SST product is generally less than 0.5°C. A comparison with US National Data Buoy Center meteorological and oceanographic moored buoy observations shows that the RMSE of the new product is generally less than 0.8°C. A comparison with measurements from drifting buoys shows an RMSE of 0.52–0.69°C. Furthermore, the consistency of the new gridded SST dataset and the Remote Sensing Systems microwave-infrared SST dataset is evaluated, and the result shows that no significant inconsistency exists between these two products.

Key words

sea surface temperature radiometer data fusion optimum interpolation 


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The authors thank RSS, NSOAS, NASA, NOAA, GODAE respectively for providing the SST data of WindSat, AMSR-E, AMSR2, HY-2A RM, MODIS, AVHRR, moored buoys, Argo buoys and RSS WM_IR SSTs.


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Copyright information

© The Chinese Society of Oceanography and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Weifu Sun
    • 1
  • Jin Wang
    • 2
    Email author
  • Jie Zhang
    • 1
  • Yi Ma
    • 1
  • Junmin Meng
    • 1
  • Lei Yang
    • 3
  • Junwei Miao
    • 4
  1. 1.The First Institute of OceanographyState Oceanic AdministrationQingdaoChina
  2. 2.College of PhysicsQingdao UniversityQingdaoChina
  3. 3.School of GeosciencesChina University of Petroleum (East China)QingdaoChina
  4. 4.College of GeomaticsShandong University of Science and TechnologyQingdaoChina

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