Surface winds in The Arabian Sea from MSMR — an Empirical approach



Multi-channel Scanning Microwave Radiometer (MSMR) onboard 1RS P4 (Oceansat I) measured Brightness Temperature data of the different bands are found sensitive to the surface and the overlying atmosphere to different degrees. A judicious combination of multi-channel data can provide such oceanic/atmospheric parameters as surface wind speed, sea surface temperature, water vapour in the marine atmosphere, etc. This paper highlights results obtained in relation to surface wind speed. Co-location and concurrence of several ocean data buoys in the Arabian Sea with MSMR observations allowed empirical construction of D-matrix coefficients for surface wind speed. With both MSMR and the Arabian Sea buoys functioning for the period of one and a half year (June, 1999 to December, 2000) without interruptions provided a large database. All channels are found to exhibit moderate sensitivity to surface wind speed. MSMR data in the immediate vicinity (within 150 km) of the buoy locations and within a time window of one hour were used. A multi-channel linear equation for surface wind speed was subsequently derived. The equation was subjected to tests with independent data set for the period January - June 2001 over the Arabian Sea and found to be moderately accurate. The empirical equation is expected to be useful for regional applications over the Arabian Sea and over regions closer to west coasts, which might have been flagged out in the operational geophysical data stream. An interesting subset of data revealed the wind signatures of the May 2001 cyclone in the Arabian Sea.


Wind Speed Brightness Temperature Surface Wind Speed Microwave Radiometer Cloud Liquid Water 


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  1. Anonymous (2000). Validation of multi-frequency scanning microwave radiometer geophysical parameter data products (Ed: MM Ali), Proceedings PORSEC-2000, pp. 182–191.Google Scholar
  2. Conner, L.N. and Chang, P.S. (2000). Ocean Surface Wind Retrievals Using the TRMM Microwave Imager. IEEE Transactions and Remote Sensing,38: 2009–2016.CrossRefGoogle Scholar
  3. Draper, N.R. and Smith, H. (1981). Applied Regression Analysis. II ed. New York: Wiley.Google Scholar
  4. Gohil, B.S., Mathur, A.K. and Varma, A.K. (2000). Geophysical Parameters Retrieval over Global Oceans from 1RS P4 /MSMR, Proceedings PORSEC 2000, pp. 207–211.Google Scholar
  5. Goodberlet, M.A., Swift, C.T. and Wilkerson, J.C. (1989). Remote Sensing of Ocean Surface Winds with the Special Sensor Microwave/Imager. J. Geophys. Res.,94: 14547–14555.CrossRefGoogle Scholar
  6. India Meteorological Department. (2002). Report on cyclonic disturbances over north Indian ocean during 2001. New Delhi.Google Scholar
  7. Liu, W.T., Kristina, K.B. and Businger, J.A. (1979). Bulk Parameterization of Air-Sea Exchange of Heat and Water Vapor Including the Molecular Constraints at the Interface. J. Atmos. Sci.,36: 1722–1735.CrossRefGoogle Scholar
  8. Liu, W.T. and Wenqing Tang (1996). Equivalent Neutral Wind. JPL Publication No. 96–17.Google Scholar
  9. Misra, Tapan, Jha, A.M., Deepak Putervu, Jogeswara Rao, Dave, D.B. and Rana, S.S. (2002). Ground calibration of Multifrequency Scanning Microwave Radiometer (MSMR). IEEE Transactions on Geosciences and Remote Sensing,40(2): 504–508.CrossRefGoogle Scholar
  10. Premkumar, K., Ravichandran, M., Kalsi, S.R., Debasis Sengupta and Sulochana Gadgil (2000). First result from a new observational system over the Indian seas, Current Sci.,78: 323–330.Google Scholar
  11. Rao, Y.R. and Premkumar, K. (1998). A preliminary analysis of meteorological and oceanographic observations during the passage of tropical cyclone in Bay of Bengal. NIOT Technical Report-NDBP-98-2.Google Scholar
  12. Sarkar, A. (2000). MSMR Data, Analysis and Applications. Pre-Conference Training, PORSEC 2000, pp. 60–64.Google Scholar
  13. Sharma Rashmi, Babu, K.N., Mathur, A.K. and Ali, M.M. (2002). Identifications of Large-Scale Atmospheric and Oceanic features from IRS-P4 Multifrequency Scanning Microwave Radiometer: Preliminary Results. JAOT,19: 1127–1134.Google Scholar

Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  1. 1.Oceanic Sciences Division, Meteorology and Oceanography GroupSpace Applications Centre (ISRO)AhmedabadIndia
  2. 2.Indian National Centre for Ocean Information ServicesHyderabadIndia

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