The use of a semi-empirical emissivity model for a rough estimation of sea surface salinity from an airborne microwave radiometer
DOI:
https://doi.org/10.3989/scimar.2008.72n2329Keywords:
remote sensing, radiometry, SMOS, salinity measurements, oceanographic campaignsAbstract
In preparation for the European Space Agency SMOS (Soil Moisture and Ocean Salinity) satellite mission, radiometric and oceanographic measurements were performed in December 2000 and January 2001 and in November 2001 from a fixed platform in the NW Mediterranean to improve the modelling of the sea surface emissivity at L-band and new semi-empirical models were derived. Now one of these models has been used to retrieve sea surface salinity from L-band radiometric data acquired with a different instrument and different location. These data were acquired in August 2003 over the continental shelf within the influence of the Rio de la Plata, from Argentina to Brazil, southern Atlantic ocean with the STARRS airborne radiometer. Results show that the radiometer is capable of realistically detecting natural variations in surface salinity even though the model was derived in very different oceanographic conditions and from data collected by a different instrument.
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Burrage, D., E. Campos, C. Martínez, T. Pérez, A. Piola and J. Wesson. – 2004. An airborne salinity survey of the La Plata river plume. http://glaucus.fcien.edu.uy/pcmya/sacc/saccdocs/Burrage01/index.html.
Camps, A., J. Font, M. Vall-llossera, C. Gabarró, R. Villarino, L. Enrique, J. Miranda, I. Corbella, N. Duffo, F. Torres, S. Blanch, J. Arenas, A. Julià, J. Etcheto, V. Caselles, A. Weill, J. Boutin, S. Contardo, R. Niclòs, R. Rivas, S. Reising, P. Wursteisen, M. Berger and M. Martín-Neira. – 2004. The WISE 2000 and 2001 Campaigns in Support of the SMOS Mission: Sea Surface Lband Brightness Temperature Observations and their Application to Multi-Angular Salinity Retrieval. IEEE Trans. Geosci. Remote Sens., 42(4): 804-823. doi:10.1109/TGRS.2003.819444
Etcheto, J., E. Dinnat, J. Boutin, A. Camps, J. Miller, S. Contardo, J. Wesson, J. Font and D. Long. – 2004. Wind speed effect on L-band brightness temperature inferred from EuroSTARRS and WISE 2001 field experiments. IEEE Trans. Geosci. Remote Sens., 42(10): 2206-2213. doi:10.1109/TGRS.2004.834644
Font, J., J. Boutin, N. Reul, P. Waldteufel, C. Gabarró, S. Zine, J. Tenerelli, F. Petitcolin and J. Vergely. – 2006. An iterative convergence algorithm to retrieve sea surface salinity from SMOS L-band radiometric measurements. Proc. IEEE Int. Geosci. Remote Sens. Symposium, IGARSS2006, Denver, : 1689-1692.
Font, J., G. Lagerloef, D. LeVine, A. Camps and O. Zanife. – 2004. The Determination of Surface Salinity with the European SMOS Space Mission. IEEE Trans. Geosci. Remote Sens., 42: 2196-2205. doi:10.1109/TGRS.2004.834649
Gabarró, C., J. Font, A. Camps, M. Vall-llossera and A. Julià. – 2004. A New Empirical Model of Sea Surface Microwave Emissivity for Salinity Remote Sensing. Geophys. Res. Lett., 31, L01309 doi:10.1029/2003GL018964
Gabarró, C. – 2004. Study of salinity retrieval errors for the SMOS mission. PhD thesis, Univ. Politècnia de Catalunya.
Gabarró, C., M. Portabella, M. Talone and J. Font. – 2007. Analysis of the SMOS Ocean Salinity Inversion Algorithm. Proc. IEEE Int. Geosci. Remote Sens. Symposium, IGARSS2007, Barcelona.
Goodberlet, M. and J. Miller. – 1997. NPOESS Sea surface Salinity. Technical report, NOAA, USA. contract 43AANE704017. Final Report.
Kerr, Y., P. Waldteufel, J. Wigneron, M. Martinuzzi, J. Font and M. Berger. – 2001. Soil moisture retrieval from space: The Soil Moisture and Ocean Salinity (SMOS) mission. IEEE Trans. Geosci. Remote Sens., 39: 1729-1735. doi:10.1109/36.942551
Klein, L. and C. Swift. – 1977. An Improved Model for the Dielectric Constant of Sea Water at Microwave Frequencies. IEEE Trans. Antennas Prop., AP-25(1): 104-111. doi:10.1109/TAP.1977.1141539
Lagerloef, G., C. Swift and D. LeVine. – 1995. Sea Surface Salinity: the Next Remote Sensing Challenge. Oceanography, 8(2): 44-50.
Lerner, R. and J. Hollinger. – 1977. Analysis of 1.4 GHz Radiometric Measurements from Skylab. Remote Sens. Environ., 6: 251-269. doi:10.1016/0034-4257(77)90047-5
Miller, J., M. Goodberlet and J. Zaitzeff. – 1998. Airborne Salinity Mapper makes Debut in Coastal Zone. EOS Trans. AGU, 79(14): 175-177. doi:10.1029/98EO00126
Piola, A., E. Campos, O. Möller, M. Charo and C. Martinez. – 2000. Subtropical shelf front off eastern South America. J. Geophys. Res., 105: 6566-6578. doi:10.1029/1999JC000300
Piola, A., J. Möler, R. Guerrero and E. Campos. – 2008. Variability of the subtropical shelf front off eastern South America: winter 2003 and summer 2004. Cont. Shelf. Res., (in press). doi:10.1016/j.csr.2008.03.013
Piola, A., J. Möller and E. Palma. – 2004. El impacto del Plata sobre el Océano Atlántico. Ciencia Hoy, 14(82): 28-37.
Raoult, B. – 2003. The ECMWF public data server. ECMWF Newsletter, 99.
Reul, N., J. Tenerelli, S. Guimbard, F. Collard, V. Kerbaol, N. Skou, E. Cardellach, S. Tauriainen, C. Bouzinac, P. Wursteisen, J. Tournadre and B. Chapron. – 2007. Analysis of L-band radiometric measurements conducted over the North Sea during the CoSMOS-OS airborne campaign. Proc. IEEE Int. Geosci. Remote Sens. Symposium, IGARSS2007, Barcelona, July 2007.
Silvestrin, P., M. Berger, Y. Kerr and J. Font. – 2001. ESA’s Second Earth Explorer Opportunity Mission: The Soil Moisture and Ocean Salinity Observations. IEEE Geosci. Remote Sens. Newsletter, 118: 11-14.
Sobjaerg, S., J. Rotboll and N. Skou. – 2003. Wind Effect and Angular dependence at L-band Polarimetric data: First Results of LOSAC. In: WISE/LOSAC/EuroSTARRS Campaigns Workshop, Proc . ESA Publications, SP-525: 181-189.
Souza, R. and I. Robinson. – 2004. Lagrangian and satellite observations of the Brazil Coastal Current. Cont. Shelf. Res., 24: 241-262. doi:10.1016/j.csr.2003.10.001
Swift, C. and R. McIntosh. – 1983. Considerations for Microwave Remote Sensing of Ocean- Surface salinity. IEEE Trans. Geosci. Electronics, GE-21(4): 480-491.
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