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Sea Scatterometry

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Remote Sensing of Atmosphere and Ocean from Space: Models, Instruments and Techniques

Part of the book series: Advances in Global Change Research ((AGLO,volume 13))

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Abstract

This paper deals with the sea scatterometry, i.e. with the physical principles and techniques which permit to a scatterometer to perform radar measurements such as to allow the sea surface wind field retrieval. The paper aims at providing the necessary overview of the problem in question thus describing the fundamentals governing the physics of the approach and the relevant inversion technique

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References

  • Allan T.D. Ed., Satellite Microwave Remote Sensing, 1983a.

    Google Scholar 

  • Allan T.D., ‘A Review of Seasat’, in Satellite Microwave Remote Sensing, T.D. Allan Ed., pp. 15–44, 1983b.

    Google Scholar 

  • Attema, E.P.W., ‘The Active Microwave Instrument on-board the ERS-1 Satellite’, Proc. IEEE, 79, pp.791–799, 1991.

    Article  Google Scholar 

  • Barrick, D.E. and C.T. Swift, ‘The Seasat microwave Instruments in Historical Perspective’, IEEE J.Oceanic Eng., OE-5, pp.74–79, 1980.

    Google Scholar 

  • Bartoloni, A., C. D’Amelio, and F. Zirilli, ‘Wind Reconstruction from Ku-band or C-band Scatterometer Data’, IEEE Trans. Geosci. Remote Sensing, GE-31, pp. 1000–1008, 1993.

    Google Scholar 

  • Bartoloni, A., P. Colandrea, C. D’Amelio, M. Migliaccio, M. Sarti, ‘La Ricostruzione del Campo di Vento da Misure Scatterometriche’, (in Italian) Istituto Universitario Navale-Volume di Studi in Memoria di A.Sposito, pp.243–254, 2000.

    Google Scholar 

  • Bentamy, A., P. Queffeulou, Y. Quilfen and K. Katsaros, ‘Ocean Surface Wind Fields Estimated from Satellite Active and Passive Microwave Instruments’, IEEE Trans. Geosci. Remote Sensing, GE-37, pp.2469–2486, 1999.

    Google Scholar 

  • Bourassa, M.A., M.H. Freilich, D.M. Legler, W.Timothy Liu, and J. O’Brien, ‘Wind Observation from New Satellite and Research Vessels Agree’, EOS, 78, pp.597–602, 1997.

    Google Scholar 

  • Chen, K.S.. Y.C. Tzeng, and P.C. Chen, ‘Retrieval of Ocean Winds from Satellite Scatterometer by a Neural Network’, IEEE Trans. Geosci. Remote Sensing, GE-37, pp.247–256, 1999.

    Google Scholar 

  • Chi, C.Y., and F.K. Li, ‘A Comparative Study of Several Wind estimation Algorithms for Spaceborne Scatterometers’, IEEE Trans. Geosci. Remote Sensing, GE-26, pp.115–121, 1988.

    Google Scholar 

  • Chew, M.F., and A.K. Fung, ‘A Numerical Study of the Regions of Validity of the Kirchhoff and Small Perturbation Rough Surface Scattering Models’, Radio Sci., 23, pp. 163–170, 1988.

    Google Scholar 

  • Donelan, M.A., and W.J. Pierson, ‘Radar Scattering and Equilibrium Ranges in Wind-generated Waves with Application to Scatterometry’, J.Geophys. Res., 92, pp.4971–5029, 1987.

    Google Scholar 

  • Durden, S.P., and J.F. Vesecky, ‘A Physical Radar Cross Section Model for a Wind-Driven Sea with Swell’, IEEE J.Oceanic Eng., OE-10, pp.445–451, 1985.

    Google Scholar 

  • Elachi. C. Spaceborne Radar Remote Sensing: Applications and Techniques, IEEE Press, 1987.

    Google Scholar 

  • Essen, H.H., ‘Theoretical Investigation on the Impact of Long Surface Waves on Empirical ERS-l/2 Scatterometer Models’, Int. J.Remote Sensing, 21, pp.1633–1656, 2000.

    Article  Google Scholar 

  • Franceschetti, G., Electromagnetics, Plenum Press, 1997.

    Google Scholar 

  • Freilich, M.H., and R.S. Dunbar, ‘Derivation Satellite Wind Model Functions Using Operational Surface Wind Analyses: An Altimeter Example’, J.Geophys. Res., 98, pp. 14633–14649, 1993.

    Google Scholar 

  • Freilich, M.H., and R.S. Dunbar, ‘The Accuracy of the NSCAT 1 Vector Winds: Comparison with National Data Buoy Center buoys’, J.Geophys. Res., 104, pp. 11231–11246, 1999.

    Article  Google Scholar 

  • Grantham, W.L., E.M. Bracalente, W.L. Jones, and J.W. Johnson, ‘The Seasat-A Satellite Scatterometer’, IEEE J.Oceanic Eng., OE-2, pp.200–206, 1977.

    Google Scholar 

  • Guissard, A., ‘Directional Spectrum of the Sea Surface and Wind Scatterometry’, Int. J. Remote Sensing, 14, pp. 1615–1633, 1993.

    Google Scholar 

  • Jakeman, E., and P.N. Pusey, ‘A Model for Non-Rayleigh Sea Echo’, IEEE Trans. Antennas Propagat., AP-24, pp.806–814, 1976.

    Google Scholar 

  • Janssen, P.A.E.M., H. Wallbrink, C.J. Calkoen, D. van Halsema, W.A. Oost, and P. Snoeij, ‘VIERS-1 Scatterometer Model’, J.Geophys. Res., 103, pp.7807–7831, 1988.

    Google Scholar 

  • Kent, E.C., P.K. Taylor, and P.G. Challenor, ‘A Comparison of Ship and Scatterometer Derived Wind Speed Data in Open Ocean and Coastal Areas’, Int. J. Remote Sensing, 19, pp.3361–3381, 1998.

    Article  Google Scholar 

  • Kerkmann, J., Review on Scatterometer Winds, Eumetsat Tech. Rep. No.3, 1998.

    Google Scholar 

  • Kong, J.A., Electromagnetic Wave Theory, J.Wiley. 1990.

    Google Scholar 

  • Lemaire, D., P. Sobieski, and A. Guissard, ‘Full-Range Sea Surface Spectrum in Nonfully Developed State for Scattering Calculations’, IEEE Trans. Geosci. Remote Sensing, GE-37, pp. 1038–1051, 1999.

    Google Scholar 

  • Lillesand, T.M. and R. W. Kiefer, Remote Sensing and Image Interpretation, John Wiley, 1979.

    Google Scholar 

  • Liu, W.T., W. Tang, and P.S. Polito, ‘NASA Scatterometer Provides Global Ocean Surface Wind Fields with More Structures than Numerical Weather Prediction’, Geophys. Res. Lett., 25, pp.761–764, 1998.

    Google Scholar 

  • Long, A.E., ‘C-band V-polarized Radar Sea-Echo Model from ERS-1 Haltenbanken Campaign’, Proc. URSI 1992, pp. 113–118, 1992.

    Google Scholar 

  • Long, D.G., and J.M. Mendel, ‘Model-Based Estimation of Wind Fields Over the Ocean From Wind Scatterometer Measurements, Part I: Development of the Wind Field Model’, IEEE Trans. Geosci. Remote Sensing, GE-28, pp.349–360, 1990.

    Google Scholar 

  • Long, D.G., and M.W. Spencer, ‘Radar Backscatter Measurement Accuracy for a Spaceborne Pencil-Beam Wind Scatterometer with Transmit Modulation’, IEEE Trans. Geosci. Remote Sensing, GE-35, pp. 102–114, 1997.

    Google Scholar 

  • Marsili, S., M. Migliaccio, M. Sarti, ‘Cersat WNF data and Urania Campaigns’, Proc. Ocean Winds, Brest (France), pp.64, 2000.

    Google Scholar 

  • Migliaccio, M., and P. Colandrea, ‘On the Radar Cross Section Data Binning’, IGARSS’98, Seattle, WA, pp.974–976, 1998.

    Google Scholar 

  • Migliaccio, M., and M. Sarti, ‘A Study on the Inversion of Sea Scatterometer Measurements’, Alta Frequenza, 4, pp.66–70, 1999.

    Google Scholar 

  • Migliaccio, M., and M. Sarti, I U N Internal Report on Wind Field Reconstruction, 2000.

    Google Scholar 

  • Migliaccio, M., M. Sarti, P. Colandrea, and A. Bartoloni, ‘Accuracy of a PC-based Fan-Beam Wind Scatterometer Measurements Inversion Scheme’, IGARSS’00, Honolulu, HI (USA), pp.263–265, july 2000.

    Google Scholar 

  • Migliaccio, M., P. Colandrea, A. Bartoloni, C. D’Amelio, ‘On a New Relationship Between Radar Cross Section and Wind Speed Using ERS-1 Scatterometer Data and ECMWF Analysis Data over the Mediterranean Sea’, IGARSS’97, Singapore, pp. 1853–1855, aug.1997

    Google Scholar 

  • Moore, R.K., and A.K. Fung, ‘Radar Determinations of Winds at Sea’, Proc. IEEE, 67, pp. 1504–1521, 1979.

    Google Scholar 

  • Naderi, F., M.H. Freilich, D.G. Long, ‘Spaceborne Radar Measurement of Wind Velocity over the Ocean — An Overview of the NSCAT Scatterometer System’, Proc. IEEE, 79, pp.850–866, 1991.

    Article  Google Scholar 

  • Oliphant, T.E., and D.G. Long, ‘Accuracy of Scatterometer-Derived Winds using the Cramer-Rao Bound’, IEEE Trans. Geosci. Remote Sensing, GE-37. pp.2642–2652, 1999.

    Google Scholar 

  • Pierson, W.J., ‘Highlights of the SEASAT-SASS Program: A Review’, in Satellite Microwave Remote Sensing, T.D. Allan Ed., pp.69–86, 1983.

    Google Scholar 

  • Quilfen, Y., A. Bentamy, P. Delecluse, K. Katsaros, and N. Grima, ‘Prediction of Sea Level Anomalies Using Ocean Circulation Model Forced by Scatterometer Wind and Validation Using TOPEX/Poseidon Data’, IEEE Trans. Geosci. Remote Sensing, GE-38, pp. 1871–1884, 2000.

    Google Scholar 

  • Rufenach, C.L., ‘A New Relationship between Radar Cross-section and Ocean Surface Wind Speed Using ERS-1 Scatterometer and Buoy Measurements’, Int. J.Remote Sensing, 16, pp.3629–3647, 1995.

    Google Scholar 

  • Rufenach, C.L., ‘ERS-1 Scatterometer Measurements — Part II: An Algorithm for Ocean-Surface Wind Retrieval Including Light Winds’, IEEE Trans. Geosci. Remote Sensing, GE-36, pp.623–635, 1998a.

    Google Scholar 

  • Rufenach, C.L., ‘Comparison of Four ERS-1 Scatterometer Wind Retrieval Algorithms with Buoy Measurements’, J.Atmos. Oceanic Technol., 15, pp.304–313, 1998b.

    Article  Google Scholar 

  • Rufenach, C.L., J.J. Bates, and S. Tosini, ‘ERS-1 Scatterometer Measurements — Part I: The Relationship Between Radar Cross Section and Buoy Wind in Two Oceanic Regions’, IEEE Trans. Geosci. Remote Sensing, GE-36, pp.603–622, 1998.

    Google Scholar 

  • Schroeder, L.C., W.L. Grantham, J.L. Mitchell, and J.L. Sweet, ‘SASS Measurements of the Ku-band Radar Signature of the Ocean’, IEEE J.Oceanic Eng., OE-7, pp.3–14. 1982.

    Google Scholar 

  • Shaffer, S.J., R.S. Dunbar, S.V. Hsiao and D.G. Long, ‘A Median-Filter-Based Ambiguity Removal Algorithm for NSCAT’, IEEE Trans. Geosci. Remote Sensing, GE-29, pp. 167–173, 1991.

    Google Scholar 

  • Spencer, M.W., C. Wu, and D.G. Long, ‘Tradeoffs in the Design of a Spaceborne Scanning Pencil Beam Scatterometer: Application to Sea Winds’, IEEE Trans. Geosci. Remote Sensing, GE-35, pp.115–126, 1997.

    Google Scholar 

  • Stewart, R.H., Methods of Satellite Oceanography, University of California Press, 1985.

    Google Scholar 

  • Stoffelen, A., Scatterometry, PhD Thesis, 1998.

    Google Scholar 

  • Stoffelen, A., and D. Anderson, ‘Scatterometer Data Interpretation: Estimation and Validation of the Transfer Function CMOD4’, J.Geophys. Res., C102, pp.5767–5780, 1997.

    Google Scholar 

  • Ulaby, F.T., R.K. Moore, and A.K. Fung, Microwave Remote Sensing, Addison-Wesley, 1981.

    Google Scholar 

  • Valenzuela, G.R., ‘Theories for the Interaction of Electromagnetic and Oceanic Waves: A Review’, Boundary Layer Meteorol., 13, pp.612–685, 1978.

    Article  Google Scholar 

  • Wentz, F.J., S. Peteherych, and L.A. Thomas, ‘A Model Function for OceanRadar Cross Section at 14.6 GHz’, J.Geophys. Res., 89, pp.3689–3704, 1984.

    Google Scholar 

  • Wentz, F.J., and D.K. Smith, ‘A Model Function for the Ocean Normalized Cross Section at 14 GHz Derived from NSCAT Observations’, J.Geophys. Res., 104, pp.11499–11514, 1999.

    Article  Google Scholar 

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Authors and Affiliations

  1. University of Naples ‘Parthenope’, Naples, Italy

    Maurizio Migliaccio

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  1. Maurizio Migliaccio
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Editors and Affiliations

  1. Center of Excellence CETEMPS, University of L’Aquila, L’Aquila, Italy

    Frank S. Marzano  & Guido Visconti  & 

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© 2002 Kluwer Academic Publishers

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Migliaccio, M. (2002). Sea Scatterometry. In: Marzano, F.S., Visconti, G. (eds) Remote Sensing of Atmosphere and Ocean from Space: Models, Instruments and Techniques. Advances in Global Change Research, vol 13. Springer, Dordrecht. https://doi.org/10.1007/0-306-48150-2_12

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  • DOI: https://doi.org/10.1007/0-306-48150-2_12

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-0943-3

  • Online ISBN: 978-0-306-48150-5

  • eBook Packages: Springer Book Archive

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