Journal of Earth System Science

, Volume 120, Issue 3, pp 337–345 | Cite as

Atmospheric correction for sea surface temperature retrieval from single thermal channel radiometer data onboard Kalpana satellite

  • NAVEEN R SHAHI
  • NEERAJ AGARWAL
  • ALOKE K MATHUR
  • ABHIJIT SARKAR
Article
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An atmospheric correction method has been applied on sea surface temperature (SST) retrieval algorithm using Very High Resolution Radiometer (VHRR) single window channel radiance data onboard Kalpana satellite (K-SAT). The technique makes use of concurrent water vapour fields available from Microwave Imager onboard Tropical Rainfall Measuring Mission (TRMM/TMI) satellite. Total water vapour content and satellite zenith angle dependent SST retrieval algorithm has been developed using Radiative Transfer Model [MODTRAN ver3.0] simulations for Kalpana 10.5–12.5 μm thermal window channel. Retrieval of Kalpana SST (K-SST) has been carried out for every half-hourly acquisition of Kalpana data for the year 2008 to cover whole annual cycle of SST over Indian Ocean (IO). Validation of the retrieved corrected SST has been carried out using near-simultaneous observations of ship and buoys datasets covering Arabian Sea, Bay of Bengal and IO regions. A significant improvement in Root Mean Square Deviation (RMSD) of K-SST with respect to buoy (1.50–1.02 K) and to ship datasets (1.41–1.19 K) is seen with the use of near real-time water vapour fields of TMI. Furthermore, comparison of the retrieved SST has also been carried out using near simultaneous observations of TRMM/TMI SST over IO regions. The analysis shows that K-SST has overall cold bias of 1.17 K and an RMSD of 1.09 K after bias correction.

Keywords

Retrieval sea surface temperature Kalpana satellite TRMM/TMI water vapour fields 
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References

  1. Anding D and Kauth R 1970 Estimation of sea surface temperature from space; Remote Sens. Environ. 1 217–220.CrossRefGoogle Scholar
  2. Barton I J 1983 Dual channel satellite measurements of sea surface temperature; Quart. J. Roy. Meteor. Soc. 109 365–378.CrossRefGoogle Scholar
  3. Berk A, Bernstein L S and Robertson D C 1989 MODTRAN: A Moderate Resolution Model for LOWTRAN 7; GL-TR-89-0122.Google Scholar
  4. Coakley J A and Bretherton F P 1982 Cloud cover from high resolution scanner data: Detecting and allowing for partially clouded fields of view; J. Geophys. Res. 87 4917–4932.CrossRefGoogle Scholar
  5. Donlon C J, Nightingale T J, Sheasby T, Turner J, Robinson I S and Emery W J 1999 Implications of the oceanic thermal skin temperature deviation at high wind speed; Geophys. Res. Lett. 26 2505–2508.CrossRefGoogle Scholar
  6. Fairall C W, Bradley E F, Godfrey J S, Wick G A, Edson J B and Young G S 1996 Cool skin and warm layer effects on sea surface temperature; J. Geophys. Res. 101 1295–1308.CrossRefGoogle Scholar
  7. Gentemann C L, Wentz F J, Mears C A and Smith D K 2004 In situ validation of Tropical Rainfall Measuring Mission microwave sea surface temperatures; J. Geophys. Res. 109, C04021, doi:  10.1029/2003JC002092.CrossRefGoogle Scholar
  8. Hook S J, Prata F J, Alley R E, Abtahi A, Richards R C, Schladow S G and Palmarsson S O 2003 Retrieval of lake bulk and skin temperatures using along-track scanning radiometer (ATSR-2) data: A case study using Lake Tahoe, California; J. Atmos. Ocean. Tech. 20 534–548.CrossRefGoogle Scholar
  9. Katsaros K B 1980 The aqueous thermal boundary layer; Bound.-Layer Meteor. 18 107–127.CrossRefGoogle Scholar
  10. Kneizys F, Shettle E P, Anderson G P, Abreu L W, Chetwind J H, Selby J E A, Clough S A and Gallery W O 1989 Atmospheric transmittance/radiance computer code-LOWTRAN-7, Airforce Geophysical Laboratory, Massachusetts, USA, 01731.Google Scholar
  11. Kuroda Y 2002 TRITON: Present status and future plan, TOCS Rep. 5, 77 pp., Jpn. Agency for Mar.-Earth Sci. and Technol., Kanagawa, Japan (available at http://www.jamstec.go.jp/jamstec/TRITON/future/index.html).
  12. Masuda K, Takashima T and Takayama Y 1988 Emissivity of pure and sea waters for the model sea surface in the infrared window region; Remote Sens. Environ. 24 313–329.CrossRefGoogle Scholar
  13. Mathur A K, Agarwal V K and T C Panda 2002 Validation of ERS-1/ATSR derived SST in Indian waters; Int. J. Remote Sens. 23(24) 5155–5163.CrossRefGoogle Scholar
  14. Mathur A K, Agarwal N, Shahi N R and Sarkar A 2008 Impact of water vapor fields on sea surface temperature retrievals from KALPANA data, Proceedings: 15th National Space Science Symposium (NSSS-2008), Radio Astronomy Centre, NCRA-TIFR.Google Scholar
  15. McPhaden M J, Busalacchi A J, Cheney R, Donguy J R, Gage K S, Halpern D, Ji M, Julian P, Meyers G, Mitchum G T, Niiler P P, Picaut J, Reynolds R W, Smith N and Takeuchi K 1998 The tropical ocean-global atmosphere (TOGA) observing system: A decade of progress; J. Geophys. Res. 103 14,169–14,240.Google Scholar
  16. McPhaden M J, Meyers G, Ando K, Masumoto Y, Murty V S N, Ravichandran M, Syamsudin F, Vialard J, Yu L and Yu W 2009 RAMA: The research moored array for African-Asian-Australian monsoon analysis and prediction; Bull. Am. Meteor. Soc. 90 459–480.CrossRefGoogle Scholar
  17. Prabhakar C, Dalu G and Kunde V G 1974 Estimation of sea surface temperature from remote sensing in 11–13 μm window region; J. Geophys. Res. 79 5039–5044.CrossRefGoogle Scholar
  18. Randel D L, Vonder Haar T H, Ringerud M A, Stephens G L, Greenwald T J and Combs C L 1996 A new global water vapor dataset; Bull. Am. Meteor. Soc. 77 1233–1246.CrossRefGoogle Scholar
  19. Reynolds R W 1988 A real-time global sea surface temperature analysis; J. Climate 1 75–86.CrossRefGoogle Scholar
  20. Reynolds R W and Smith T M 1994 Improved global sea surface temperature analyses using optimum interpolation; J. Climate 7 929–948.CrossRefGoogle Scholar
  21. Ricciardulli L and Wentz F J 2004 Uncertainties in sea surface temperature retrievals from space: Comparison of microwave and infrared observations from TRMM; J. Geophys. Res. 109, pp. C12013, doi:  10.1029/2003JC002247.CrossRefGoogle Scholar
  22. Robinson I A, Wells N C and Charnock H 1984 The sea surface thermal boundary layer and its relevance to the measurement sea surface temperature by airborne and spaceborne radiometers; Int. J. Remote Sens. 5 19–45.CrossRefGoogle Scholar
  23. Schluessel P, Emery W J, Grassl H and Mammen T 1990 On the bulk-skin temperature difference and its impact on satellite remote sensing of sea surface temperature; J. Geophys. Res. 95 13,341–13,356.Google Scholar
  24. Scott N A and Chedin A 1981 A fast line by line method for atmospheric absorption computations: The authomatized atmospheric absorption atlas; J. Meteorol. 20 802–812.CrossRefGoogle Scholar
  25. Shenoi S C 1999 On the suitability of global algorithms for the retrieval of SST from the north Indian Ocean using NOAA/AVHRR data; Int. J. Remote Sens. 20 11–29.CrossRefGoogle Scholar
  26. Soloviev A V and Schluessel P 1996 Evolution of cool skin and direct air–sea gas transfer coefficient during daytime; Bound.-Layer Meteor. 77 45–68.CrossRefGoogle Scholar
  27. Webster P J, Clayson C A and Curry J A 1996 Clouds, radiation, and the diurnal cycle of sea surface temperature in the tropical western Pacific; J. Climate 9 1712–1730.CrossRefGoogle Scholar
  28. Wentz F and Meissner T 1999 AMSR ocean algorithm (version 2), Remote Sensing Systems (http://www.ress.com); Algorithm Theoretical Basis Document (ATBD), Santa Rosa, CA, December 1999.
  29. Wentz F J, Gentemann C, Smith D and Chelton D 2000 Satellite measurements of sea surface temperature through clouds; Science 288 847–850.CrossRefGoogle Scholar
  30. Zhou X, Yang X, Li Z and Tao Z 2010 Single channel physical method for retrieving sea surface temperature and its sensitivity analysis; International Conference on Multimedia Technology (ICMT), pp. 1–4, 29–31, Oct. 2010. doi:  10.1109/ICMULT.2010.5631450.

Copyright information

© Indian Academy of Sciences 2011

Authors and Affiliations

  • NAVEEN R SHAHI
    • 1
  • NEERAJ AGARWAL
    • 2
  • ALOKE K MATHUR
    • 1
  • ABHIJIT SARKAR
    • 1
  1. 1.Atmospheric and Oceanic Sciences GroupSpace Applications, Centre (ISRO)AhmedabadIndia
  2. 2.Max Planck InstituteHamburgGermany

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