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Published March 2014 | Published + Supplemental Material
Journal Article Open

Improving InSAR geodesy using Global Atmospheric Models

Abstract

Spatial and temporal variations of pressure, temperature, and water vapor content in the atmosphere introduce significant confounding delays in interferometric synthetic aperture radar (InSAR) observations of ground deformation and bias estimates of regional strain rates. Producing robust estimates of tropospheric delays remains one of the key challenges in increasing the accuracy of ground deformation measurements using InSAR. Recent studies revealed the efficiency of global atmospheric reanalysis to mitigate the impact of tropospheric delays, motivating further exploration of their potential. Here we explore the effectiveness of these models in several geographic and tectonic settings on both single interferograms and time series analysis products. Both hydrostatic and wet contributions to the phase delay are important to account for. We validate these path delay corrections by comparing with estimates of vertically integrated atmospheric water vapor content derived from the passive multispectral imager Medium-Resolution Imaging Spectrometer, onboard the Envisat satellite. Generally, the performance of the prediction depends on the vigor of atmospheric turbulence. We discuss (1) how separating atmospheric and orbital contributions allows one to better measure long-wavelength deformation and (2) how atmospheric delays affect measurements of surface deformation following earthquakes, and (3) how such a method allows us to reduce biases in multiyear strain rate estimates by reducing the influence of unevenly sampled seasonal oscillations of the tropospheric delay.

Additional Information

© 2014 American Geophysical Union. Received 6 Aug 2013; Accepted 1 Feb 2014; Accepted article online 7 Feb 2014; Published online 7 Mar 2014. We would like to thank two anonymous reviewers for their fruitful comments and suggestions and the Associate Editor for his help in evaluating this paper. We also would like to thank Simona Bordoni (Caltech) for all the discussions about the Global Atmospheric Models used in this study. Part of G. Peltzer's contribution was done at the Jet Propulsion Laboratory, California Institute of Technology, under contract with NASA. Figures and maps were prepared using Generic Mapping Tools software [Wessel and Smith, 1995]. This study has been funded by NSF grant EAR-1118239. This is Caltech Seismo lab contribution 10096. This is TO contribution 252.

Attached Files

Published - jgrb50542.pdf

Supplemental Material - FigureS01.pdf

Supplemental Material - FigureS02.pdf

Supplemental Material - FigureS03.pdf

Supplemental Material - FigureS04.pdf

Supplemental Material - FigureS05.pdf

Supplemental Material - FigureS06.pdf

Supplemental Material - FigureS07.pdf

Supplemental Material - FigureS08.pdf

Supplemental Material - FigureS09.pdf

Supplemental Material - FigureS10.pdf

Supplemental Material - FigureS11.pdf

Supplemental Material - FigureS12.pdf

Supplemental Material - Readme.txt

Supplemental Material - ifgforfigure8.txt

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