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Cited by 346

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Improving InSAR geodesy using Global Atmospheric Models

Open access
Jolivet, Romain, Agram, Piyush Shanker, Lin, Nina Y., Simons, Mark, Doin, Marie‐Pierre, Peltzer, Gilles, Li, Zhenhong·2014·Journal of Geophysical Research: Solid Earth

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.

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Metadata

Authors
Jolivet, R., Agram, P. S., Lin, N. Y., Simons, M., Doin, M., Peltzer, G., & Li, Z.
Venue
Journal of Geophysical Research: Solid Earth
Published
2014-03
Volume
119
Issue
3
Pages
2324-2341
ISSN
  • 2169-9313 (ISSN-L)
  • 2169-9356
OpenAlex
W2144819091
Cited by
346
References
29
FWCI
27.91
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Improving InSAR geodesy using Global Atmospheric Models. https://app.cochat.ai/papers/10.1002/2013jb010588
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Jolivet, R., Agram, P. S., Lin, N. Y., Simons, M., Doin, M., Peltzer, G., & Li, Z. (2014). Improving InSAR geodesy using Global Atmospheric Models. Journal of Geophysical Research: Solid Earth. https://doi.org/10.1002/2013jb010588

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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