Seasonal low-degree changes in terrestrial water mass load from global GNSS measurements

Meyrath, Thierry; Dam, Tonie van; Collilieux, Xavier; Rebischung, Paul

doi:10.1007/s00190-017-1028-8

Cited by 1 publication

(1 citation statement)

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“…Terrestrial water storage load is known to deform the Earth's surface and influence the annual signal of GPS time series, particularly the vertical component. Although GRACE is able to provide a global picture of mass redistribution, it is not able to recover variations in the total mass of terrestrial water storage (degree-0 coefficients) (Meyrath et al, 2017). Hydrologic models are also limited by the omission of polar ice sheet contributions and poor representation of groundwater storage.…”

Section: 1029/2019jb018034mentioning

confidence: 99%

Present‐Day Vertical Land Motion of Australia From GPS Observations and Geophysical Models

2020

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The secular rate of Australia's vertical surface deformation due to past ice‐ocean loading changes is not consistent with present vertical velocities observed by a previously sparse network of Global Positioning System (GPS) sites. Current understanding of the Earth's rheology suggests that the expected vertical motion of the crust should be close to zero given that Australia is located in the far field of past ice sheet loading. Recent GPS measurements suggest that the vertical motion of the Australian continent at permanent sites is between 0 and −2 mm/year. Here we investigate if vertical deformation due to previous ice sheet loading can be recovered in the time series of Australian GPS sites through enlarging the number of sites compared to previous studies from ~20 to more than 100 and through the application of improved data filtering. We apply forward geophysical models of elastic surface displacement induced by atmospheric, hydrologic, nontidal ocean, and ice loading and use independent component analysis as a spatiotemporal filter that includes multivariate regression to consider temporally correlated noise in GPS. Using this approach, the common mode error is identified, and subsequent multivariate regression leads to an average reduction in trend uncertainty of ~35%. The average vertical subsidence of the Australian continent is substantially different to vertical motion predicted by glacial isostatic adjustment and surface mass transport models.

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Section: 1029/2019jb018034mentioning

confidence: 99%