458
P. Schliissel
• Measurement of the third and fourth components of the Stokes vector will give insight
into the influence of the wind direction on the wind speed retrieval, hence, allow a more
accurate wind-speed retrieval
• Measurement of all parameters entering the parameterisation of the latent heat flux from
the same platform (AVHRR and SSM/Ion TRMM, MODIS and MIMR on EOS-PM)
• Measurement of sea surface temperature with microwave radiometry allowing the observation under cloudy situations, too
• Correction of infrared measurements of sea surface temperature with water vapour columns derived from microwave radiometry on board the same satellite
Acknowledgements
This research was sponsored by Deutsche Forschungsgemeinschaft and by the Commission of
the European Communities. The sea surface temperature data that have been used in this
study have been provided by the NASA Physical Oceanography Distibuted Active Archive
Center at the Jet Propulsion Laboratory, California Institute of Technology. All graphs have
been plotted with free software supplied by Wessel and Smith (1991).
16.7 References
Anding D, Kauth R (1970) Estimation of sea-surface temperature from space. Remote
Sensing Environ 1: 270
Barton IJ, Zavody AM, Prata AJ, Llewellyn-Jones DT, Bailey P, Cechet RP, Gorman MR, Kent P, Lee DJ, Mutlow CT, Nilsson CS (1992) Intercomparison of satellitederived sea surface temperatures. Proceedings of the Central Symposium of the 'International
Space Year' Conference, held in Munich, Germany, 30 March - 4 April 1992, ESA SP-341:
367-372
Cox CS, Munk WH (1954) Measurement of the roughness of the sea surface from photographs of the sun's glitter. J Opt Soc Am 44: 838-850
Deschamps PY, Phulpin T (1979) Atmosphere correction of infrared measurements of sea
surface temperature using channels at 3.7, 11 and 12 pm. Bound Lay Met 18: 131-143
Emery WJ, Yu Y, Wick GA, Schliissel P, Reynolds RW (1994) Correcting infrared
satellite estimates of sea surface temperature for atmospheric water vapor contamination. J
Geophys Res 99: 5219-5236
Francis CR, Thomas DP, Windsor EPL (1983) The evaluation of SMMR retrieval algorithms, in: Allan TD (ed) Satellite microwave remote sensing. Ellis Horwood Ltd. Chichester,
481--498
Goodberlet MA, Swift CT, Wilkerson JC (1989) Remote sensing of ocean surface winds
with the Special Sensor Microwave/Imager. J Geophys Res 94: 14547-14555
Grassl, H (1976) The dependence of the measured cool skin of the ocean on wind stress and
total heat flux. Bound Lay Met 10: 465-474
Harris, AR, Mason 1M (1992) An extension to the split-window technique giving improved
atmospheric correction and total water vapour. Int J Remote Sensing 13: 881-892
P. Schliissel
• Measurement of the third and fourth components of the Stokes vector will give insight
into the influence of the wind direction on the wind speed retrieval, hence, allow a more
accurate wind-speed retrieval
• Measurement of all parameters entering the parameterisation of the latent heat flux from
the same platform (AVHRR and SSM/Ion TRMM, MODIS and MIMR on EOS-PM)
• Measurement of sea surface temperature with microwave radiometry allowing the observation under cloudy situations, too
• Correction of infrared measurements of sea surface temperature with water vapour columns derived from microwave radiometry on board the same satellite
Acknowledgements
This research was sponsored by Deutsche Forschungsgemeinschaft and by the Commission of
the European Communities. The sea surface temperature data that have been used in this
study have been provided by the NASA Physical Oceanography Distibuted Active Archive
Center at the Jet Propulsion Laboratory, California Institute of Technology. All graphs have
been plotted with free software supplied by Wessel and Smith (1991).
16.7 References
Anding D, Kauth R (1970) Estimation of sea-surface temperature from space. Remote
Sensing Environ 1: 270
Barton IJ, Zavody AM, Prata AJ, Llewellyn-Jones DT, Bailey P, Cechet RP, Gorman MR, Kent P, Lee DJ, Mutlow CT, Nilsson CS (1992) Intercomparison of satellitederived sea surface temperatures. Proceedings of the Central Symposium of the 'International
Space Year' Conference, held in Munich, Germany, 30 March - 4 April 1992, ESA SP-341:
367-372
Cox CS, Munk WH (1954) Measurement of the roughness of the sea surface from photographs of the sun's glitter. J Opt Soc Am 44: 838-850
Deschamps PY, Phulpin T (1979) Atmosphere correction of infrared measurements of sea
surface temperature using channels at 3.7, 11 and 12 pm. Bound Lay Met 18: 131-143
Emery WJ, Yu Y, Wick GA, Schliissel P, Reynolds RW (1994) Correcting infrared
satellite estimates of sea surface temperature for atmospheric water vapor contamination. J
Geophys Res 99: 5219-5236
Francis CR, Thomas DP, Windsor EPL (1983) The evaluation of SMMR retrieval algorithms, in: Allan TD (ed) Satellite microwave remote sensing. Ellis Horwood Ltd. Chichester,
481--498
Goodberlet MA, Swift CT, Wilkerson JC (1989) Remote sensing of ocean surface winds
with the Special Sensor Microwave/Imager. J Geophys Res 94: 14547-14555
Grassl, H (1976) The dependence of the measured cool skin of the ocean on wind stress and
total heat flux. Bound Lay Met 10: 465-474
Harris, AR, Mason 1M (1992) An extension to the split-window technique giving improved
atmospheric correction and total water vapour. Int J Remote Sensing 13: 881-892