PRIDE PPP-AR: an open-source software for GPS PPP ambiguity resolution

Geng, Jianghui; Chen, Xingyu; Pan, Yuanxin; Mao, Shuyin; Li, Chenghong; Zhou, Jinning; Zhang, Kunlun

doi:10.1007/s10291-019-0888-1

Cited by 122 publications

(52 citation statements)

References 31 publications

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“…All stations recorded at 1 Hz (1 sample s −1 ) and were processed following a precise point positioning (PPP) approach (Zumberge and others, 1997; Geng and others, 2012; Geng and others, 2019) to generate, for every day, a 24-h time series with 1-s sampling. The horizontal movements were up to several metres per day.…”

Section: Methodsmentioning

confidence: 99%

Annual cycle in flow of Ross Ice Shelf, Antarctica: contribution of variable basal melting

et al. 2020

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Ice shelves play a critical role in modulating dynamic loss of ice from the grounded portion of the Antarctic Ice Sheet and its contribution to sea-level rise. Measurements of ice-shelf motion provide insights into processes modifying buttressing. Here we investigate the effect of seasonal variability of basal melting on ice flow of Ross Ice Shelf. Velocities were measured from November 2015 to December 2016 at 12 GPS stations deployed from the ice front to 430 km upstream. The flow-parallel velocity anomaly at each station, relative to the annual mean, was small during early austral summer (November–January), negative during February–April, and positive during austral winter (May–September). The maximum velocity anomaly reached several metres per year at most stations. We used a 2-D ice-sheet model of the RIS and its grounded tributaries to explore the seasonal response of the ice sheet to time-varying basal melt rates. We find that melt-rate response to changes in summer upper-ocean heating near the ice front will affect the future flow of RIS and its tributary glaciers. However, modelled seasonal flow variations from increased summer basal melting near the ice front are much smaller than observed, suggesting that other as-yet-unidentified seasonal processes are currently dominant.

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Section: Methodsmentioning

confidence: 99%

Annual cycle in flow of Ross Ice Shelf, Antarctica: contribution of variable basal melting

et al. 2020

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“…First, we select 12 strong motion and 12 GNSS sites based on proximity and azimuthal coverage of the two earthquakes ( Figure 1). We include static offsets estimated by the Nevada Geodetic Laboratory (geodesy.unr.edu) as well as highrate (5 Hz) GNSS displacements from the Network of the Americas (unavco.org) post-processed using precise point positioning [Geng et al, 2019] to achieve centimeter-level precision in the horizontal components and ~3 cm precision in the vertical direction [Melgar et al, 2019]. We lowpass filtered the HR-GNSS waveforms with a corner frequency of 0.5 Hz.…”

Section: Datamentioning

confidence: 99%

Complex Rupture of an Immature Fault Zone: A Simultaneous Kinematic Model of the 2019 Ridgecrest, CA Earthquakes

Goldberg¹,

Melgar²,

Thomas³

et al. 2019

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The July 4, 2019 Mw6.4 and subsequent July 6, 2019 Mw7.1 Ridgecrest Sequence earthquakes ruptured orthogonal fault planes in the Little Lake Fault Zone, a low slip rate (1 mm/yr) dextral fault zone in the area linking the Eastern California Shear Zone and Walker Lane. This region accommodates nearly one fourth of plate boundary motion and has been proposed to be an incipient transform fault system that could eventually become the main tectonic boundary, replacing the San Andreas. We investigate the rupture process of these events using a novel simultaneous kinematic slip method with joint inversion of high-rate GNSS, strong motion, GNSS static offset, and InSAR data. We model the Coulomb stress change to evaluate how the first mainshock may have affected the second. Our findings suggest complex interactions between several fault structures, including dynamic and static triggering, and provide important context for regional seismic source characterization and hazard models.

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“…In spite of this seemingly added complexity when compared to inertial sensors, real-time HR-GNSS networks have proliferated to almost every tectonically active region (e.g., Barrientos & Pérez-Campos, 2018) and a variety of methods are employed to calculate the GNSS positions. There exists proprietary software for positioning from a number of vendors as well as open source academic codes (e.g., Geng, Chen, et al, 2019). However, in spite of the significant progress in positioning and in understanding how HR-GNSS can contribute to real-time earthquake monitoring, as well the rapid expansion of real-time networks, one important outstanding issue remains.…”

Section: Motivationmentioning

confidence: 99%

Noise Characteristics of Operational Real‐Time High‐Rate GNSS Positions in a Large Aperture Network

et al. 2020

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Large earthquakes are difficult to model in real‐time with traditional inertial seismic measurements. Several algorithms that leverage high‐rate real‐time Global Navigation Satellite Systems (HR‐GNSS) positions have been proposed, and it has been shown that they can supplement the earthquake monitoring effort. However, analyses of the long‐term noise behavior of high‐rate real‐time GNSS positions, which are important to understand how the data can be used operationally by monitoring agencies, have been limited to just a few sites and to short time spans. Here, we show results from an analysis of the noise characteristics of 1 year of positions at 213 GNSS sites spanning a large geographic region from Southern California to Alaska. We characterize the behavior of noise and propose several references noise models which can be used as baselines to compare against as technological improvements allow for higher precision solutions. We also show how to use the reference noise models to generate realistic synthetic noise that can be used in simulations of HR‐GNSS waveforms. We discuss spatiotemporal variations in the noise and their potential sources and significance. We also detail how noise analysis can be used in a dynamic quality control to determine which sites should or should not contribute positions to an earthquake modeling algorithm at a particular moment in time. We posit that while there remain important improvements yet to be made, such as reducing the number of outliers in the time series, the present quality of real‐time HR‐GNSS waveforms is more than sufficient for monitoring large earthquakes.

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PRIDE PPP-AR: an open-source software for GPS PPP ambiguity resolution

Cited by 122 publications

References 31 publications

Annual cycle in flow of Ross Ice Shelf, Antarctica: contribution of variable basal melting

Annual cycle in flow of Ross Ice Shelf, Antarctica: contribution of variable basal melting

Complex Rupture of an Immature Fault Zone: A Simultaneous Kinematic Model of the 2019 Ridgecrest, CA Earthquakes

Noise Characteristics of Operational Real‐Time High‐Rate GNSS Positions in a Large Aperture Network

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