Acta Oceanologica Sinica

, Volume 33, Issue 1, pp 109–113 | Cite as

Assessment of the initial sea surface temperature product of the scanning microwave radiometer aboard on HY-2 satellite

  • Yili Zhao
  • Jianhua Zhu
  • Mingsen Lin
  • Chuntao Chen
  • Xiaoqi Huang
  • He Wang
  • Youguang Zhang
  • Hailong Peng
Articles

Abstract

HY-2 satellite is the first satellite for dynamic environmental parameters measurement of China, which was launched on 16th August 2011. A scanning microwave radiometer (RM) is carried for sea surface temperature (SST), sea surface wind speed, columnar water vapor and columnar cloud liquid water detection. In this paper, the initial SST product of RM was validated with in-situ data of National Data of Buoy Center (NDBC) mooring and Argo buoy. The validation results indicate the accuracy of RMSST is better than 1.7°C. The comparison of RM SST and WindSat SST shows the former is warmer than the latter at high sea surface wind speed and the difference between these SSTs is depend on the sea surface wind speed. Then, the relationship between the errors of RM SST and sea surface wind speed was analyzed using NDBC mooring measurements. Based on the results of assessment and errors analysis, the suggestions of taking account of the affection of sea surface wind speed and using sea surface wind speed and direction derived from the microwave scatteromter aboard on HY-2 for SST product calibration were given for retrieval algorithm improvement.

Key words

validation sea surface temperature HY-2 satellite microwave radiometer 

References

  1. Gaiser P W, Germain K M St, Twarog E M, et al. 2004. The WindSat spaceborne polarimetric microwave radiometer: sensor description and early orbit performance. IEEE Trans Geosci Remote Sens, 42(11): 2347–2361CrossRefGoogle Scholar
  2. Gentemann C L, Wentz F J, Mears C A, et al. 2004. In situ validation of tropical rainfall measuring mission microwave sea surface temperatures. J Geophys Res, 109(C4), doi:10.1029/2003JC002092Google Scholar
  3. Jones MS, Saunders MA, Guymer T H. 1996, Reducing cloud contamination in ATSR averaged sea surface temperature data. J Atmos Oceanic Technol, 13: 492–506CrossRefGoogle Scholar
  4. Jiang Xingwei, Lin Mingsen, Liu Jianqiang, et al. 2012. The HY-2 satellite and its preliminary assessment. International Journal of Digital Earth, 5(3): 266–281CrossRefGoogle Scholar
  5. Latif M, Roeckner E, Botzet M, et al. 2004. Reconstructing, monitoring, and predicting multidecadal-scale changes in the North Atlantic thermohaline circulation with sea surface temperature. J Clim, 17: 1605–1614CrossRefGoogle Scholar
  6. Merchant C J, Borgne P L. 2004. Retrieval of sea surface temperature from space, based on modeling of infrared radiative transfer: capabilities and limitations. J Atmos Oceanic Technol, 21: 1734–1746CrossRefGoogle Scholar
  7. O’Carroll A G, Eyre J R, Saunders R W. 2008. Three-way error analysis between AATSR, AMSR-E, and in situ sea surface temperature observations. J Atmos Oceanic Technol, 25: 1197–1207CrossRefGoogle Scholar
  8. Pukelsheim F. 1994. The three sigma rule. Amer Stat, 48: 88–91Google Scholar
  9. Sutton R T, Hodson D L R. 2003. Influence of the ocean on North Atlantic climate variability 1871–1999. J Clim, 6: 3296–3313CrossRefGoogle Scholar
  10. Wentz F J. 1992. Measurement of oceanic wind vector using satellite microwave radiometers. IEEE Trans Geosci Remote Sens, 30(5): 960–972CrossRefGoogle Scholar
  11. Wentz F J, Gentemann C. 2000. Satellite measurements of sea-surface temperature through clouds. Science, 288: 847–850CrossRefGoogle Scholar
  12. Xie S, Annamalai H, Schott F A, et al. 2002. Structure and mechanisms of south Indian Ocean climate variability. J Clim, 15: 864–878CrossRefGoogle Scholar

Copyright information

© The Chinese Society of Oceanography and Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Yili Zhao
    • 1
  • Jianhua Zhu
    • 1
  • Mingsen Lin
    • 2
  • Chuntao Chen
    • 1
  • Xiaoqi Huang
    • 1
  • He Wang
    • 1
  • Youguang Zhang
    • 2
  • Hailong Peng
    • 2
  1. 1.National Ocean Technology CenterState Oceanic AdministrationTianjinChina
  2. 2.National Satellite Ocean Application ServiceState Oceanic AdministrationBeijingChina

Personalised recommendations