2019
DOI: 10.1029/2018jb017061
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Assessing Seasonal Changes in Microgravity at Yellowstone Caldera

Abstract: Microgravity time series at active volcanoes can provide an indication of mass change related to subsurface magmatic processes, but uncertainty is often introduced by hydrologic variations and other noise sources that cannot easily be isolated. We empirically assessed seasonality and noise by conducting four surveys over the course of May-October 2017 at Yellowstone caldera, Wyoming. Yellowstone experiences frequent changes in the rates and styles of seismicity and surface deformation, but the mechanisms of th… Show more

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Cited by 9 publications
(12 citation statements)
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“…GNSS stations in the south part of the caldera (CALS, CRIM, and OUTL) are characterized by subsidence of 3–5 cm over the time spanned by the gravity campaigns. This subsidence, which is also apparent in interferograms (Figure b), would cause a free‐air gravity increase of up to 15 μGal, which is close to the expected repeatability (Poland & de Zeeuw‐van Dalfsen, ). For station 112YY (Figure ), we used the 5‐cm subsidence of collocated GNSS site OUTL to determine a free‐air effect of 15 μGal, which lowers the observed gravity change from 23 ± 9 to 7 ± 13 μGal.…”
Section: Data Collection and Reductionsupporting
confidence: 80%
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“…GNSS stations in the south part of the caldera (CALS, CRIM, and OUTL) are characterized by subsidence of 3–5 cm over the time spanned by the gravity campaigns. This subsidence, which is also apparent in interferograms (Figure b), would cause a free‐air gravity increase of up to 15 μGal, which is close to the expected repeatability (Poland & de Zeeuw‐van Dalfsen, ). For station 112YY (Figure ), we used the 5‐cm subsidence of collocated GNSS site OUTL to determine a free‐air effect of 15 μGal, which lowers the observed gravity change from 23 ± 9 to 7 ± 13 μGal.…”
Section: Data Collection and Reductionsupporting
confidence: 80%
“…Data analysis followed Poland and de Zeeuw‐van Dalfsen (), with tilt and tide corrections provided by the instrument and daily drift rates for each gravimeter calculated using gTOOLS (Battaglia et al, ). For the single‐looped days in November 2018, we calculated the drift rates based on a linear fit to repeat occupations of the base station and then averaged the 2 days, taking the standard deviation of the measurements as the uncertainty in the gravity values.…”
Section: Data Collection and Reductionmentioning
confidence: 99%
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“…However, this hypothesis can not be proved as either true or false because only two cycles of uplift in 1923-1984 and 1996-1997 before 2004 were recorded with instrumental observations, both with a significantly worse temporal sampling than the 2004-2009 cycle. Micro-gravity data were only measured during 2007-2012 (Farrell, 2014), and then since 2017 (Poland & Zeeuw-van Dalfsen, 2019). The 2007-2012 data did not show clear gravity changes but as the data did not include high quality elevation measurements for each gravity station, it did not provide insights on any particular geological process (Poland & Zeeuw-van Dalfsen, 2019).…”
Section: Comparison With Seismicity Microgravity and Stream/gas Geochemistrymentioning
confidence: 99%
“…Micro-gravity data were only measured during 2007-2012 (Farrell, 2014), and then since 2017 (Poland & Zeeuw-van Dalfsen, 2019). The 2007-2012 data did not show clear gravity changes but as the data did not include high quality elevation measurements for each gravity station, it did not provide insights on any particular geological process (Poland & Zeeuw-van Dalfsen, 2019). Therefore the gravity data cannot be directly compared with the InSAR and GPS observations during 2004-2009.…”
Section: Comparison With Seismicity Microgravity and Stream/gas Geochemistrymentioning
confidence: 99%