Thu Apr 10, F. Flechtner
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Fok, Hok Sum and He, Qing, 2018. Water Level Reconstruction Based on Satellite Gravimetry in the Yangtze River Basin. ISPRS International Journal of Geo-Information, 7(7):286, doi:10.3390/ijgi7070286.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2018IJGI....7..286F,
author = {{Fok}, Hok Sum and {He}, Qing},
title = "{Water Level Reconstruction Based on Satellite Gravimetry in the Yangtze River Basin}",
journal = {ISPRS International Journal of Geo-Information},
keywords = {satellite gravimetry, remote sensing, water level, PDSI, ENSO},
year = 2018,
month = jul,
volume = {7},
number = {7},
eid = {286},
pages = {286},
abstract = "{The monitoring of hydrological extremes requires water level
measurement. Owing to the decreasing number of continuous
operating hydrological stations globally, remote sensing indices
have been advocated for water level reconstruction recently.
Nevertheless, the feasibility of gravimetrically derived
terrestrial water storage (TWS) and its corresponding index for
water level reconstruction have not been investigated. This
paper aims to construct a correlative relationship between
observed water level and basin-averaged Gravity Recovery and
Climate Experiment (GRACE) TWS and its Drought Severity Index
(GRACE-DSI), for the Yangtze river basin on a monthly temporal
scale. The results are subsequently compared against traditional
remote sensing, Palmer's Drought Severity Index (PDSI), and El
Ni{\~n}o Southern Oscillation (ENSO) indices. Comparison of the
water level reconstructed from GRACE TWS and its index, and that
of remote sensing against observed water level reveals a Pearson
Correlation Coefficient (PCC) above 0.90 and below 0.84, with a
Root-Mean-Squares Error (RMSE) of 0.88-1.46 m, and 1.41-1.88 m
and a Nash-Sutcliffe model efficiency coefficient (NSE) above
0.81 and below 0.70, respectively. The ENSO-reconstructed water
levels are comparable to those based on remote sensing, whereas
the PDSI-reconstructed water level shows a similar performance
to that of GRACE TWS. The water level predicted at the location
of another station also exhibits a similar performance. It is
anticipated that the basin-averaged, remotely-sensed
hydrological variables and their standardized forms (e.g., GRACE
TWS and GRACE-DSI) are viable alternatives for reconstructing
water levels for large river basins affected by the hydrological
extremes under ENSO influence.}",
doi = {10.3390/ijgi7070286},
adsurl = {https://ui.adsabs.harvard.edu/abs/2018IJGI....7..286F},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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