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A Roughness Correction for Aquarius Sea Surface Salinity Using the CONAE MicroWave Radiometer.

Authors :
Hejazin, Yazan
Jones, W. Linwood
Santos-Garcia, Andrea
Jacob, Maria Marta
El-Nimri, Salem Fawwaz
Source :
IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing; Dec2015, Vol. 8 Issue 12, p5500-5510, 11p
Publication Year :
2015

Abstract

Aquarius (AQ)/SAC-D is a joint National Aeronautics and Space Administration (NASA)/Comisión Nacional de Actividades Espaciales (CONAE; Argentine Space Agency) Earth Sciences satellite mission to measure global sea surface salinity (SSS), using a L-band radiometer/scatterometer that measures ocean brightness temperature (Tb) and radar backscatter (sigma-0). The application of L-band radiometry to retrieve SSS is a difficult task; therefore, precise Tb corrections are necessary to obtain accurate measurements. One of the major error sources is the effect of ocean roughness that “warms” the ocean Tb. The baseline approach, to provide this ocean roughness correction, uses the AQ radar scatterometer measurement of ocean sigma-0 to infer the radiometric excess ocean emissivity. In contrast, this paper develops an alternate approach for the AQ ocean roughness correction using the MicroWave Radiometer (MWR) Tb measurements at Ka-band. The theoretical basis of this MWR ocean roughness correction algorithm is described, which translates these Ka-band measurements to L-band to remove the AQ Tb errors that are caused by ocean wind speed and direction. MWR ocean roughness correction results are compared with corresponding results from the AQ scatterometer method. Also, AQ SSS retrievals are presented using both sets of roughness corrections that demonstrate the relative effectiveness of the MWR and AQ scatterometer approaches. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
19391404
Volume :
8
Issue :
12
Database :
Complementary Index
Journal :
IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing
Publication Type :
Academic Journal
Accession number :
112683555
Full Text :
https://doi.org/10.1109/JSTARS.2015.2482491