GNSS-R Delay-Doppler Map Simulation Based on the 2004 Sumatra-Andaman Tsunami Event
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-06
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
A new method for simulatingGlobal Navigation Satellite System-Reflectometry (GNSS-R)delay-Doppler maps (DDMs) of a tsunami-dominant sea surfaceis presented.
In this method, the bistatic scattering Z-V model,the sea surface mean square slope model of Cox and Munk,and the tsunami-induced wind perturbation model are employed.
The feasibility of the Cox and Munk model under a tsunamiscenario is examined by comparing the Cox and Munk modelbased scattering coefficient with the Jason-1 measurement.
Agood consistency between these two results is obtained with acorrelation coefficient of 0.93.
After confirming the applicability of the Cox and Munk model for a tsunami-dominated sea,this study provides the simulations of the scattering coefficientdistribution and the corresponding DDMs of a fixed region ofinterest before and during the tsunami.
In the final analysis, bysubtracting the simulation results that are free of tsunami fromthose with presence of tsunami, the tsunami-induced variationsin scattering coefficients and DDMs can be clearly observed.
Asa result, the tsunami passage can be readily interpreted.
American Psychological Association (APA)
Yan, Qingyun& Huang, Weimin. 2015. GNSS-R Delay-Doppler Map Simulation Based on the 2004 Sumatra-Andaman Tsunami Event. Journal of Sensors،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1110392
Modern Language Association (MLA)
Yan, Qingyun& Huang, Weimin. GNSS-R Delay-Doppler Map Simulation Based on the 2004 Sumatra-Andaman Tsunami Event. Journal of Sensors No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1110392
American Medical Association (AMA)
Yan, Qingyun& Huang, Weimin. GNSS-R Delay-Doppler Map Simulation Based on the 2004 Sumatra-Andaman Tsunami Event. Journal of Sensors. 2015. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1110392
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110392