2020
DOI: 10.1029/2019ea000644
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Automated Estimation and Tools to Extract Positions, Velocities, Breaks, and Seasonal Terms From Daily GNSS Measurements: Illuminating Nonlinear Salton Trough Deformation

Abstract: This paper describes the methods used to estimate positions, velocities, breaks, and seasonal terms from daily Global Navigation Satellite System (GNSS) measurements. Break detection and outlier removal have been automated so that decades of daily measurements from thousands of stations can be processed in a few hours. New measurements are added, and parameters are updated every week. Model parameters allow separation of interseismic, annual, coseismic, and postseismic signals. Tools available through GeoGatew… Show more

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Cited by 48 publications
(42 citation statements)
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“…A complication with estimating vertical velocities is the interannual variability in station positions observed as time series increase in length. This nonlinear ground motion can result from changes in terrestrial water storage (e.g., Borsa et al., 2014), varying intensity of groundwater usage and recharge (e.g., Neely et al., 2020), and tectonic signals (e.g., Hammond et al., 2018; Heflin et al., 2020). Both the Central Valley (groundwater) and the Salton Trough (tectonics, groundwater), which we highlight as regions of high variability in vertical velocities, are impacted by strong nonlinear surface deformation.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…A complication with estimating vertical velocities is the interannual variability in station positions observed as time series increase in length. This nonlinear ground motion can result from changes in terrestrial water storage (e.g., Borsa et al., 2014), varying intensity of groundwater usage and recharge (e.g., Neely et al., 2020), and tectonic signals (e.g., Hammond et al., 2018; Heflin et al., 2020). Both the Central Valley (groundwater) and the Salton Trough (tectonics, groundwater), which we highlight as regions of high variability in vertical velocities, are impacted by strong nonlinear surface deformation.…”
Section: Discussionmentioning
confidence: 99%
“…Daily station positions and long‐term velocities for most western U.S. stations are estimated by multiple analysis centers using different processing algorithms, reference frames, troposphere and tidal corrections, and time‐series analysis techniques (Heflin et al., 2020; Herring et al., 2016). Each analysis center provides uncertainty estimates for their data products, but formal uncertainties calculated for geodetic datasets can underestimate time‐correlated error in position data and usually do not characterize variance introduced by different processing assumptions (Herring et al., 2016; Langbein, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Standard daily position time series can be used to measure long-term deformation, temporal changes, and station displacements from events such as earthquakes (e.g. Heflin et al 2020). Accuracy of the products are 1-2 mm and <1 mm/yr velocity for horizontal displacement and velocity measurements respectively and about 3 mm and 0.5 mm/yr for vertical measurements (Heflin et al 2020).…”
Section: Geophysical Background and Relevant Datamentioning
confidence: 99%
“…Heflin et al 2020). Accuracy of the products are 1-2 mm and <1 mm/yr velocity for horizontal displacement and velocity measurements respectively and about 3 mm and 0.5 mm/yr for vertical measurements (Heflin et al 2020). Daily GNSS measurements are fully three dimensional and can provide continuous monitoring over decades but spatial sampling can be tens of km as is typically in California or hundreds of km in less tectonically active regions.…”
Section: Geophysical Background and Relevant Datamentioning
confidence: 99%
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