Thu Apr 10, F. Flechtner
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Fok, Hok Sum, Zhou, Linghao, Liu, Yongxin, Ma, Zhongtian, and Chen, Yutong, 2019. Upstream GPS Vertical Displacement and its Standardization for Mekong River Basin Surface Runoff Reconstruction and Estimation. Remote Sensing, 12(1):18, doi:10.3390/rs12010018.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2019RemS...12...18F,
author = {{Fok}, Hok Sum and {Zhou}, Linghao and {Liu}, Yongxin and {Ma}, Zhongtian and {Chen}, Yutong},
title = "{Upstream GPS Vertical Displacement and its Standardization for Mekong River Basin Surface Runoff Reconstruction and Estimation}",
journal = {Remote Sensing},
keywords = {Runoff, GPS, GRACE satellite gravimetry, Mekong River Basin, PDSI},
year = 2019,
month = dec,
volume = {12},
number = {1},
eid = {18},
pages = {18},
abstract = "{Surface runoff (R), which is another expression for river water
discharge of a river basin, is a critical measurement for
regional water cycles. Over the past two decades, river water
discharge has been widely investigated, which is based on
remotely sensed hydraulic and hydrological variables as well as
indices. This study aims to demonstrate the potential of
upstream global positioning system (GPS) vertical displacement
(VD) and its standardization to statistically derive R time
series, which has not been reported in recent literature. The
correlation between the in situ R at estuaries and averaged GPS-
VD and its standardization in the river basin upstream on a
monthly temporal scale of the Mekong River Basin (MRB) is
examined. It was found that the reconstructed R time series from
the latter agrees with and yields a similar performance to that
from the terrestrial water storage based on gravimetric
satellite (i.e., Gravity Recovery and Climate Experiment
(GRACE)) and traditional remote sensing data. The reconstructed
R time series from the standardized GPS-VD was found to have a
2-7\% accuracy increase against those without standardization.
On the other hand, it is comparable to data that are obtained by
the Palmer drought severity index (PDSI). Similar accuracies are
exhibited by the estimated R when externally validated through
another station location with in situ time series. The
comparison of the estimated R at the entrance of river delta
against that at the estuaries indicates a 1-3\% relative error
induced by the residual ocean tidal effect at the estuary. The
reconstructed R from the standardized GPS-VD yields the lowest
total relative error of less than 9\% when accounting for the
main upstream area of the MRB. The remaining errors may be the
result of the combined effect of the proposed methodology,
remaining environmental signals in the data time series, and
potential time lag (less than a month) between the upstream MRB
and estuary.}",
doi = {10.3390/rs12010018},
adsurl = {https://ui.adsabs.harvard.edu/abs/2019RemS...12...18F},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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