Abstract
GPS time series of vertical displacement include the elastic response of the Earth to a combination of regional and local loading signals arising from hydrologic mass transfer. The regional loading, controlled by seasonal, synoptic precipitation patterns, dominates the displacement of individual stations and is highly correlated among stations with separation distances from 10 to 300 km. The local loading, controlled by small-scale precipitation and storage variability, has much shorter correlation lengths of <30 km. We develop a new method to separate the regional and local contributions using common mode analysis and show that GPS is capable of measuring the local hydrologic load changes at watershed scales of tens of kilometers. Using this methodology, GPS-measured displacement provides an integrated measurement of hydrologic load at a spatial scale between the existing long-wavelength resolution of the Gravity Recovery and Climate Experiment and point measurement resolution of a precipitation station. Thus, GPS time series record critical observations for monitoring integrated hydrologic budgets at scales useful for water management and assessment of the hydro-ecological response to climate change.
| Original language | English |
|---|---|
| Pages (from-to) | 391-401 |
| Number of pages | 11 |
| Journal | Water Resources Research |
| Volume | 55 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2019 |
Funding
We are grateful to Jeff Freymueller and two anonymous scientists who reviewed and improved this manuscript. We acknowledge UNAVCO's Plate Boundary Observatory and Idaho National Laboratory for collecting and making publically available the GPS observations on the UNAVCO archive (http://www.unavco.org/data/gps-gnss/data-access-methods/dai2/app/dai2.html), as well as the processing group at the Nevada Geodetic Laboratory, which provide publicly available processed GPS data (http://geodesy.unr.edu/links.php). GRACE data are publicly available through JPL (https://grace.jpl.nasa.gov/) and SNOTEL time series are publicly available through NRCS (https://www.wcc.nrcs.usda.gov/snow/). Finally, some of the maps in this manuscript were created using Generic Mapping Tool (GMT) created by Wessel et al. (). D.F. Argus' contribution was performed at Jet Propulsion Laboratory, California Institute of Technology, under contract with NASA. Data are additionally available on https://github.com/eknappe/knappeetal2018_WRR.
| Funders |
|---|
| National Aeronautics and Space Administration |
| Natural Resources Conservation Service |
