DocumentCode :
2205304
Title :
Analysis of atmospheric signals in spaceborne InSAR - toward water vapor mapping based on multiple sources
Author :
Alshawaf, Fadwa ; Fersch, Benjamin ; Hinz, Stefan ; Kunstmann, Harald ; Mayer, Michael ; Thiele, Antje ; Westerhaus, Malte ; Meyer, Franz
Author_Institution :
Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
1960
Lastpage :
1963
Abstract :
The dominant error source for short wavelength spaceborne radar signals is due to water vapor present in the neutral atmosphere (neutrosphere). This distortion signal is characterized by high variations in time and space, and can be exploited as a valuable source for quantifying the water vapor content of the Earth´s atmosphere. Available water vapor measurements provided by Envisat Medium Resolution Imaging Spectrometer (MERIS) and simulations from numerical weather prediction models are still limited in observing rapid fluctuations of water vapor. Therefore, we are investigating Interferometric Synthetic Aperture Radar (InSAR) for water vapor mapping. In this paper, water vapor maps derived from Persistent Scatterer InSAR (PSI), MERIS, and the Weather Research and Forecasting (WRF) model are presented with comparative analyses.
Keywords :
atmospheric humidity; remote sensing by radar; synthetic aperture radar; weather forecasting; Earth atmosphere; Envisat MERIS; Interferometric Synthetic Aperture Radar; Medium Resolution Imaging Spectrometer; WRF model; atmospheric signal analysis; distortion signal; dominant error source; multiple sources; neutral atmosphere; numerical weather prediction models; persistent scatterer InSAR; short wavelength spaceborne radar signals; spaceborne INSAR; water vapor content; water vapor mapping; water vapor rapid fluctuations; weather forecasting; weather research; Atmospheric modeling; Clouds; Delay; Meteorology; Numerical models; Predictive models; InSAR; MERIS; Neutrospheric water vapor; PSI WRF;
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.2012.6351118
Filename :
6351118
Link To Document :
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