Thu Apr 10, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Knappe, E., Bendick, R., Martens, H. R., Argus, D. F., and Gardner, W. P., 2019. Downscaling Vertical GPS Observations to Derive Watershed-Scale Hydrologic Loading in the Northern Rockies. Water Resources Research, 55(1):391–401, doi:10.1029/2018WR023289.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2019WRR....55..391K,
author = {{Knappe}, E. and {Bendick}, R. and {Martens}, H.~R. and {Argus}, D.~F. and {Gardner}, W.~P.},
title = "{Downscaling Vertical GPS Observations to Derive Watershed-Scale Hydrologic Loading in the Northern Rockies}",
journal = {Water Resources Research},
year = 2019,
month = jan,
volume = {55},
number = {1},
pages = {391-401},
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.}",
doi = {10.1029/2018WR023289},
adsurl = {https://ui.adsabs.harvard.edu/abs/2019WRR....55..391K},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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