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@ARTICLE{Fang:256508,
author = {Fang, Zhufeng and Bogena, Heye and Kollet, Stefan and Koch,
Julian and Vereecken, Harry},
title = {{S}patio-temporal {V}alidation of {L}ong-term 3{D}
{H}ydrological {S}imulations of a {F}orested {C}atchment
{U}sing {O}rthogonal {F}unctions and {W}avelet {C}oherence
{A}nalysis},
journal = {Journal of hydrology},
volume = {529},
issn = {0022-1694},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2015-06397},
pages = {1754-1767},
year = {2015},
abstract = {Soil moisture plays a key role in the water and energy
balance in soil, vegetation and atmosphere systems.
According to Wood et al. (2011) there is a grand need to
increase global-scale hyper-resolution
water–energy–biogeochemistry land surface modelling
capabilities. These modelling capabilities should also
recognize epistemic uncertainties, as well as the
nonlinearity and hysteresis in its dynamics. Unfortunately,
it is not clear how to parameterize hydrological processes
as a function of scale, and how to test deterministic models
with regard to epistemic uncertainties. In this study, high
resolution long-term simulations were conducted in the
highly instrumented TERENO hydrological observatory of the
Wüstebach catchment. Soil hydraulic parameters were derived
using inverse modelling with the Hydrus-1D model using the
global optimization scheme SCE-UA and soil moisture data
from a wireless soil moisture sensor network. The estimated
parameters were then used for 3D simulations of water
transport using the integrated parallel simulation platform
ParFlow-CLM. The simulated soil moisture dynamics, as well
as evapotranspiration (ET) and runoff, were compared with
long-term field observations to illustrate how well the
model was able to reproduce the water budget dynamics. We
investigated different anisotropies of hydraulic
conductivity to analyze how fast lateral flow processes
above the underlying bedrock affect the simulation results.
For a detail investigation of the model results we applied
the empirical orthogonal function (EOF) and wavelet
coherence methods. The EOF analysis of temporal–spatial
patterns of simulated and observed soil moisture revealed
that introduction of heterogeneity in the soil porosity
effectively improves estimates of soil moisture patterns.
Our wavelet coherence analysis indicates that wet and dry
seasons have significant effect on temporal correlation
between observed and simulated soil moisture and ET. Our
study demonstrates the usefulness of the EOF and wavelet
coherence methods for a more in-depth validation of
spatially highly resolved hydrological 3D models.},
cin = {IBG-3},
ddc = {690},
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:000364249500085},
doi = {10.1016/j.jhydrol.2015.08.011},
url = {https://juser.fz-juelich.de/record/256508},
}