Cascadia Daily GNSS Time Series Denoising: Graph Neural Network and Stack Filtering
Precise Global Navigation Satellite System (GNSS) time series have greatly advanced tectonic studies, particularly in detecting transient deformation signals like slow slip events (SSEs). However, GNSS position data can be noisy, impacting the accuracy of analyses. Traditional denoising methods oft...
Saved in:
| Main Authors: | Loïc Bachelot, Amanda Thomas, Diego Melgar, Jake Searcy, Yu-Sheng Sun |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
McGill University
2025-03-01
|
| Series: | Seismica |
| Online Access: | https://seismica.library.mcgill.ca/article/view/1419 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Effect of Fore‐Arc Deformation on Shallow Earthquake Rupture Behavior in the Cascadia Subduction Zone
by: Khurram S. Aslam, et al.
Published: (2021-10-01) -
A Job, Indeed! Accessibility Equity to Advertised Employment in Cascadia
by: Jerome R Mayaud, et al.
Published: (2019-10-01) -
Commentary: The Role of Geodetic Algorithms for Earthquake Early Warning in Cascadia
by: Jeffrey J. McGuire, et al.
Published: (2021-03-01) -
A Long‐Term View of Episodic Tremor and Slip in Cascadia
by: Noel M. Bartlow
Published: (2020-02-01) -
Evidence for an active transtensional Beaufort Range fault in the northern Cascadia forearc
by: Emerson Lynch, et al.
Published: (2025-08-01)