Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Fok, Hok Sum, Zhou, Linghao, Liu, Yongxin, Tenzer, Robert, Ma, Zhongtian, and Zou, Fang, 2020. Water Balance Standardization Approach for Reconstructing Runoff Using GPS at the Basin Upstream. Remote Sensing, 12(11):1767, doi:10.3390/rs12111767.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2020RemS...12.1767F,
author = {{Fok}, Hok Sum and {Zhou}, Linghao and {Liu}, Yongxin and {Tenzer}, Robert and {Ma}, Zhongtian and {Zou}, Fang},
title = "{Water Balance Standardization Approach for Reconstructing Runoff Using GPS at the Basin Upstream}",
journal = {Remote Sensing},
keywords = {GPS estuarine discharge, water balance standardization},
year = 2020,
month = may,
volume = {12},
number = {11},
eid = {1767},
pages = {1767},
abstract = "{While in-situ estuarine discharge has been correlated and reconstructed
well with localized remotely-sensed data and hydraulic variables
since the 1990s, its correlation and reconstruction using
averaged GPS-inferred water storage from satellite gravimetry
(i.e., GRACE) at the basin upstream based on the water balance
standardization (WBS) approach remains unexplored. This study
aims to illustrate the WBS approach for reconstructing monthly
estuarine discharge (in the form of runoff (R)) at Mekong River
Delta, by correlating the averaged GPS-inferred water storage
from GRACE of the upstream Mekong Basin with the in-situ R at
the Mekong River Delta estuary. The resulting R based on GPS-
inferred water storage is comparable to that inferred from
GRACE, regardless of in-situ stations within Mekong River Delta
being used for the R reconstruction. The resulting R from the
WBS approach with GPS water storage converted by GRACE mascon
solution attains the lowest normalized root-mean-square error of
0.066, and the highest Pearson correlation coefficient of 0.974
and Nash-Sutcliffe efficiency of 0.950. Regardless of using
either GPS-inferred or GRACE-inferred water storage, the WBS
approach shows an increase of 1-4\% in accuracy when compared to
those reconstructed from remotely-sensed water balance
variables. An external assessment also exhibits similar
accuracies when examining the R estimated at another station
location. By comparing the reconstructed and estimated Rs
between the entrance and the estuary mouth, a relative error of
1-4\% is found, which accounts for the remaining effect of tidal
backwater on the estimated R. Additional errors might be caused
by the accumulated errors from the proposed approach, the
unknown signals in the remotely-sensed water balance variables,
and the variable time shift across different years between the
Mekong Basin at the upstream and the estuary at the downstream.}",
doi = {10.3390/rs12111767},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020RemS...12.1767F},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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