Journal of Oceanography

, Volume 67, Issue 1, pp 135–145 | Cite as

Algorithm for estimating sea surface temperatures based on Aqua/MODIS global ocean data. 1. Development and validation of the algorithm

  • Kohtaro HosodaEmail author
  • Huiling Qin
Short Contribution


An algorithm for estimating global sea surface temperatures (SST) from data obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Aqua satellite has been developed empirically. Four atmospheric correction models for MODIS observations are examined, and the effects of ancillary data for corrections are discussed. A nonlinear (NLSST) model using high-temporal-resolution climatological SSTs as the first guess shows high accuracy and availability. The addition of a temperature-proportional term to the NLSST model effectively improves the estimate.


Sea surface temperature Satellite observation 



We wish to express our appreciation to the NASA Goddard Space Flight Center (GSFC) Level 1 and the Atmospheric Archive and Distribution System (LAADS) for providing MODIS Level 1B data. We would also like to thank Mr. Keiji Imaoka at the Earth Observation Research Center of Japan Aerospace Exploration Agency and Mr. Masanaga Kominami in the Remote Sensing Technology Center of Japan for their help in obtaining MODIS data. We also appreciate the valuable comments and suggestions of two anonymous reviewers. This work was supported by the “Global Change Observation Mission” project of the Japan Aerospace Exploration Agency (JX-PSPC-260080).


  1. Brown OB, Minnett PJ (1999) MODIS infrared sea surface temperature algorithm: algorithm theoretical basis document (technical report, product MOD28). University of Miami, MiamiGoogle Scholar
  2. Emery WJ, Yu Y, Wick GA, Schluessel P, Reynolds RW (1994) Correcting infrared satellite estimates of sea surface temperature for atmospheric water vapor attenuation. J Geophys Res 99:5219–5236CrossRefGoogle Scholar
  3. Goodrum G, Kidwell KB, Winston W (2000) NOAA KLM user’s guide—September 2000 revision (technical report).
  4. Guo P, Bo Y (2008) Validation of AVHRR/MODIS/AMSR-E satellite SST products in the west tropical Pacific. In: Geoscience and Remote Sensing Symposium 2008 (IGARSS 2008). IEEE International, New York, IV:942–945. doi: 10.1109/IGARSS.2008.4779879
  5. Hosoda K, Murakami H, Shibata A, Sakaida F, Kawamura H (2006) Difference characteristics of sea surface temperature observed by GLI and AMSR aboard ADEOS-II. J Oceanogr 62:339–350CrossRefGoogle Scholar
  6. Hosoda K, Murakami H, Sakaida F, Kawamura H (2007) Algorithm and validation of sea surface temperature observation using MODIS sensors aboard Terra and Aqua in the western North Pacific. J Oceanogr 63:267–280CrossRefGoogle Scholar
  7. Huang HL, Gumley LE, Strabara K, Li J, Weisz E, Rink T, Baggett KC, Davis JE, Smith WL, Dodge JC (2004) International MODIS and AIRS processing pachage (IMAPP): a direct broadcast software package for the NASA Earth Observing System. Bull Am Meteol Soc 85:159–161. doi: 10.1175/BAMS-85-2-159 Google Scholar
  8. Kawai Y, Wada A (2007) Diurnal sea surface temperature variation and its impact on the atmosphere and ocean: a review. J Oceanogr 63:721–744CrossRefGoogle Scholar
  9. Kilpatrick KA, Podestá GP, Evans R (2001) Overview of the NOAA/NASA advanced very high resolution radiometer Pathfinder algorithm for sea surface temperature and associated matchup database. J Geophys Res 101:9179–9197CrossRefGoogle Scholar
  10. Kumar A, Minnett PJ, Podestá G, Evans RH (2003) Error characteristics of the atmospheric correction algorithms used in retrieval of sea surface temperatures from infrared satellite measurements: global and regional aspects. J Atmos Sci 60:575–585CrossRefGoogle Scholar
  11. Minnett P, Brown OB, Evans RH, Key E, Kearns E, Kilpatrick K, Kumar A, Maillet K, Szczodrak G (2004) Sea-surface temperature measurements from the moderate-resolution imaging spectroradiometer (MODIS) on Aqua and Terra. In: Geoscience and Remote Sensing Symposium 2004 (IGARSS ’04). IEEE International, New York, 7:4576–4579. doi: 10.1109/IGARSS.2004.1370173
  12. Reynolds RW, Smith TM, Liu C, Casey DBCKS, Schlax MG (2007) Daily high-resolution-blended analyses for sea surface temperature. J Clim 20:5473–5496Google Scholar
  13. Ricciardulli L, Wentz FJ (2004) Uncertainties in sea surface temperature retrievals from space: comparison of microwave and infrared observations from TRMM. J Geophys Res 109:C12013. doi: 10.1029/2003JC002247
  14. Sakaida F, Moriyama M, Murakami H, Oaku H, Mitomi Y, Mukaida A, Kawamura H (1998) The sea surface temperature product algorithm of the Ocean Color and Temperature Scanner (OCTS) and its accuracy. J Oceanogr 54:437–442CrossRefGoogle Scholar
  15. Sakaida F, Kudoh JI, Kawamura H (2000) A-HIGHERS—the system to produce the high spatial resolution sea surface temperature maps of the western North Pacific using the AVHRR/NOAA. J Oceanogr 56:707–716Google Scholar
  16. Sakaida F, Hosoda K, Moriyama M, Murakami H, Murakida A, Kawamura H (2006) Sea surface temperature observation by Global Imager(GLI)/ADEOS-II—algorithm and accuracy of the product. J Oceanogr 62:311–319CrossRefGoogle Scholar
  17. Sybrandy WAL, Niiler PP, Martin C, Scuba W, Charpentier E, Meldrum DT (2009) Global drifter programme barometer drifter design reference (Data Buoy Cooperation Panel Tech Doc no. 4, rev. 2.2). Data Buoy Cooperation Panel, Ramonville St-AgneGoogle Scholar
  18. Tanahashi S, Kawamura H, Matsuura T, Takahashi T, Yusa H (2000) Improved estimate of wide-ranging sea surface temperature from GMS S-VISSR data. J Oceanogr 56:345–358CrossRefGoogle Scholar
  19. Walton CC, Pichel WG, Sapper JF (1998) The development and operational application of nonlinear algorithms for the measurements of sea surface temperatures with the NOAA polar-orbiting environmental satellites. J Geophys Res 103C(12):27999–28012Google Scholar
  20. Wan Z (2002) Estimate of noise and systematic error in early thermal infrared data of the Moderate Resolution Imaging Spectroradiometer (MODIS). Remote Sens Environ 80:47–54CrossRefGoogle Scholar

Copyright information

© The Oceanographic Society of Japan and Springer 2011

Authors and Affiliations

  1. 1.Center for Atmospheric and Oceanic Studies, Graduate School of ScienceTohoku UniversityAobaJapan

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