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@ARTICLE{Li:1006493,
author = {Li, Fang and Kurtz, Wolfgang and Hung, Ching Pui and
Vereecken, Harry and Hendricks-Franssen, Harrie-Jan},
title = {{W}ater table depth assimilation in integrated terrestrial
system models at the larger catchment scale},
journal = {Frontiers in water},
volume = {5},
issn = {2624-9375},
address = {Lausanne},
publisher = {Frontiers Media},
reportid = {FZJ-2023-01705},
pages = {1150999},
year = {2023},
abstract = {As an important source of water for human beings,
groundwater plays a significant role in human production and
life. However, different sources of uncertainty may lead to
unsatisfactory simulations of groundwater hydrodynamics with
hydrological models. The goal of this study is to
investigate the impact of assimilating groundwater data into
the Terrestrial System Modeling Platform (TSMP) for
improving hydrological modeling in a real-world case. Daily
groundwater table depth (WTD) measurements from the year
2018 for the Rur catchment in Germany were assimilated by
the Localized Ensemble Kalman Filter (LEnKF) into TSMP. The
LEnKF is used with a localization radius so that the
assimilated measurements only update model states in a
limited radius around the measurements, in order to avoid
unphysical updates related to spurious correlations. Due to
the mismatch between groundwater measurements and the coarse
model resolution (500 m), the measurements need careful
screening before data assimilation (DA). Based on the
spatial autocorrelation of the WTD deduced from the
measurements, three different filter localization radii
(2.5, 5, and 10 km) were evaluated for assimilation. The
bias in the simulated water table and the root mean square
error (RMSE) are reduced after DA, compared with runs
without DA [i.e., open loop (OL) runs]. The best results at
the assimilated locations are obtained for a localization
radius of 10 km, with an $81\%$ reduction of RMSE at the
measurement locations, and slightly smaller RMSE reductions
for the 5 and 2.5 km radius. The validation with independent
WTD data showed the best results for a localization radius
of 10 km, but groundwater table characterization could only
be improved for sites <2.5 km from measurement locations. In
case of a localization radius of 10 km the RMSE-reduction
was $30\%$ for those nearby sites. Simulated soil moisture
was validated against soil moisture measured by cosmic-ray
neutron sensors (CRNS), but no RMSE reduction was observed
for DA-runs compared to OL-run. However, in both cases, the
correlation between measured and simulated soil moisture
content was high (between 0.70 and 0.89, except for the
Wuestebach site).},
cin = {IBG-3},
ddc = {333.7},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact
(POF4-217)},
pid = {G:(DE-HGF)POF4-2173},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000963295200001},
doi = {10.3389/frwa.2023.1150999},
url = {https://juser.fz-juelich.de/record/1006493},
}