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@ARTICLE{Rahman:279774,
author = {Rahman, M. and Sulis, M. and Kollet, Stefan},
title = {{E}valuating the dual-boundary forcing concept in
subsurface-land surface interactions of the hydrological
cycle},
journal = {Hydrological processes},
volume = {30},
number = {10},
issn = {0885-6087},
address = {New York, NY},
publisher = {Wiley},
reportid = {FZJ-2015-07656},
pages = {1563–1573},
year = {2016},
abstract = {Subsurface and land surface processes (e.g. groundwater
flow, evapotranspiration) of the hydrological cycle are
connected via complex feedback mechanisms, which are
difficult to analyze and quantify. In this study, the
dual-boundary forcing concept that reveals space–time
coherence between groundwater dynamics and land surface
processes is evaluated. The underlying hypothesis is that a
simplified representation of groundwater dynamics may alter
the variability of land surface processes, which may
eventually affect the prognostic capability of a numerical
model. A coupled subsurface–land surface model ParFlow.CLM
is applied over the Rur catchment, Germany, and the mass and
energy fluxes of the coupled water and energy cycles are
simulated over three consecutive years considering three
different lower boundary conditions (dynamic, constant, and
free-drainage) based on groundwater dynamics to substantiate
the aforementioned hypothesis. Continuous wavelet transform
technique is applied to analyze scale-dependent variability
of the simulated mass and energy fluxes. The results show
clear differences in temporal variability of latent heat
flux simulated by the model configurations with different
lower boundary conditions at monthly to multi-month time
scales (~32–91 days) especially under soil moisture
limited conditions. The results also suggest that temporal
variability of latent heat flux is affected at even smaller
time scales (~1–3 days) if a simple gravity drainage
lower boundary condition is considered in the coupled model.
This study demonstrates the importance of a physically
consistent representation of groundwater dynamics in a
numerical model, which may be important to consider in local
weather prediction models and water resources assessments,
e.g. drought prediction},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000379192400007},
doi = {10.1002/hyp.10702},
url = {https://juser.fz-juelich.de/record/279774},
}