DocumentCode :
575845
Title :
Spectral dependence of the response time of sea state to local wind forcing
Author :
Chen, David D. ; Gleason, Scott ; Ruf, Chris ; Adjrad, Mounir
Author_Institution :
Univ. of Michigan, Ann Arbor, MI, USA
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
3776
Lastpage :
3779
Abstract :
Bistatic remote sensing using L-band GPS signals has been proposed as an alternative to using microwave radiometers and monostatic radar scatterometers for spaceborne ocean surface windspeed measurements. L-band scattered signals are sensitive to waves with longer wavelengths than are the signals sensed by conventional radiometers and scatterometers, which typically operate at higher frequencies. It is known that longer surface waves take more time to respond to surface winds, propagate further before decaying, and are generally less directly coupled to the local wind field. These factors could affect the ability of scattered GPS L-band signals to retrieve local wind fields. In this work, we attempt to quantify the relationship between the longwave spectrum and local winds by examining windspeed and surface slope measurements by buoys. Specifically, by applying a lag-correlator, it is observed that the average lag time decreases monotonically as the ocean surface wavelength decreases. It is found that 1 hour serves as a conservative bound on the average response time of L-band waves to local wind forcing.
Keywords :
Global Positioning System; ocean waves; oceanographic techniques; remote sensing; wind; L-band GPS signals; L-band scattered signals; L-band waves; bistatic remote sensing; buoys; lag-correlator; local wind fields; local wind forcing; local winds; longer surface waves; longwave spectrum; microwave radiometers; monostatic radar scatterometers; ocean surface wavelength; response time; scattered GPS L-band signals; sea state; spaceborne ocean surface windspeed measurements; spectral dependence; surface slope measurements; time 1 hour; L-band; Sea measurements; Sea surface; Spaceborne radar; Surface waves; Wind; GNSS; GPS; L-band; Mean Squared Slope; Windspeed;
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.2012.6350495
Filename :
6350495
Link To Document :
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