Abstract
AbstractWorking with 5 years (2015–2019) of high quality interferometric synthetic aperture radar (InSAR) data covering the Central Valley of California, we developed a new approach to isolate the poroelastic component in InSAR data by estimating and removing the hydrologic loading component. K‐means clustering was used to identify the InSAR deformation time series dominated by the loading response and those dominated by the poroelastic response. The former time series include seasonal oscillations of uplift and subsidence related to mass changes in snow and ice in the adjacent mountain range, while the latter include interannual deformation and seasonal oscillations related to changing head in the valley. The loading component accounts for, on average, 56 ± 12% of the deformation in the Central Valley. Without correcting for the loading response, the deformation due to the poroelastic response (and therefore any derived estimate of change in head) is underestimated by 50%–60% in areas of the valley.
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