Browse by author
Lookup NU author(s): Professor Zhenhong Li
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
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.
Author(s): Jolivet R, Agram P, Lin N, Simons M, Doin M, Peltzer G, Li Z
Publication type: Article
Publication status: Published
Journal: Journal of Geophysical Research: Solid Earth
Year: 2014
Volume: 119
Issue: 3
Pages: 2324-2341
Print publication date: 07/03/2014
ISSN (print): 2169-9313
ISSN (electronic): 2169-9356
Publisher: Wiley-Blackwell
URL: http://dx.doi.org/10.1002/2013JB010588
DOI: 10.1002/2013JB010588
Altmetrics provided by Altmetric