DocumentCode :
576045
Title :
Anisap project-analysis of normalised differential spectral attenuation technique for inter-satellite atmospheric profiling
Author :
Cuccoli, Fabrizio ; Facheris, Luca
Author_Institution :
Dept. of Electron. & Telecommun., Univ. of Florence, Florence, Italy
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
2466
Lastpage :
2469
Abstract :
In this paper the main objectives of the ESA-ANISAP study are summarized and the first results are presented. The existing end-to-end software simulation tool developed for a couple of counter-rotating Low Earth Orbiting (LEO) satellites has been upgraded and utilized for this work. The Integrated Water Vapor (IWV) - Spectral Sensitivity (SS) and the Integrated Liquid Water (ILW) - SS relationships are shown assuming the acquisition of IWV and ILW at 3,6, and 9 km tangent altitude jointly with that of SS at 17, 19, 21 and 32 GHz. Such relationships are obtained for a global set of atmospheric vertical profiles, in order to compute the regression coefficients of the IWV-SS and ILW-SS relationships based on a linear least squares fit.
Keywords :
atmospheric electromagnetic wave propagation; atmospheric humidity; atmospheric spectra; atmospheric techniques; least squares approximations; radiowave propagation; regression analysis; remote sensing; ANISAP project analysis; ESA-ANISAP; ILW-SS relationship; IWV-SS relationship; atmospheric vertical profiles; counter rotating LEO satellites; integrated liquid water-spectral sensitivity relationship; integrated water vapor-spectral sensitivity relationship; intersatellite atmospheric profiling; linear least squares fitting; normalised differential spectral attenuation technique; regression coefficients; software simulation tool; Analytical models; Atmospheric modeling; Liquids; Low earth orbit satellites; Microwave theory and techniques; Satellite broadcasting; LEO-LEO; Spectral sensitivity; atmospheric profiling; integrated liquid water; integrated water vapor; microwave absorption;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6350986
Filename :
6350986
Link To Document :
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