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