DocumentCode :
3024393
Title :
Sea surface salinity roughness correction at L-band for Aquarius instrument
Author :
Jones, W. Linwood ; Hejazin, Yazan ; El-Nimri, Salem
Author_Institution :
EECS Dept., Univ. of Central Florida, Orlando, FL, USA
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
660
Lastpage :
663
Abstract :
Aquarius/SAC-D is a joint NASA/CONAE (Argentine Space Agency) Earth Science satellite mission to measure the global sea surface salinity (SSS). The prime remote sensor is an L-band microwave radiometer to measure ocean blackbody emission (brightness temperature, Tb), which depends upon the sea surface temperature and SSS. The application of L-band radiometry to measure SSS is a difficult task, and there are many Tb corrections that must be made correctly to obtain accurate SSS data. One of the major error sources is the effect of ocean roughness that “warms” the ocean Tb. The Aquarius baseline approach uses the coincident radar scatterometer to provide this ocean roughness correction through the correlation of radar backscatter with the excess ocean emissivity without directly measuring the surface wind speed. This paper provides an alternative approach using a theoretical Radiative Transfer Model (RTM) driven by numerical weather forecast model for ocean surface wind vector. The theoretical basis of our algorithm is described and results are compared with the AQ baseline scatterometer method.
Keywords :
ocean temperature; remote sensing by laser beam; salinity (geophysical); weather forecasting; wind; AQ baseline scatterometer method; Aquarius baseline approach; Aquarius-SAC-D instrument; Argentine Space Agency; L-band microwave radiometer; L-band radiometry application; NASA-CONAE Earth Science satellite mission; global sea surface salinity; numerical weather forecast model; ocean blackbody emission; ocean surface wind vector; radar backscatter; sea surface salinity roughness correction; sea surface temperature; theoretical radiative transfer model; Ocean temperature; Rough surfaces; Sea measurements; Sea surface; Surface roughness; Wind speed; Aquarius; ocean roughness correction; remote sensing; salinity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6721243
Filename :
6721243
Link To Document :
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