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@ARTICLE{Baatz:825831,
author = {Baatz, Roland and Hendricks-Franssen, Harrie-Jan and Han,
Xujun and Hoar, Tim and Bogena, Heye and Vereecken, Harry},
title = {{E}valuating the value of a network of cosmic-ray probes
for improving land surface modelling},
journal = {Hydrology and earth system sciences discussions},
volume = {},
issn = {1812-2116},
address = {Katlenburg-Lindau},
publisher = {Soc.},
reportid = {FZJ-2017-00133},
pages = {},
year = {2016},
abstract = {Land surface models can model matter and energy fluxes
between the land surface and atmosphere, and provide a lower
boundary condition to atmospheric circulation models. For
these applications, accurate soil moisture quantification is
highly desirable but not always possible given limited
observations and limited subsurface data accuracy.
Cosmic-ray probes (CRPs) offer an interesting alternative to
indirectly measure soil moisture and provide an observation
that can be assimilated into land surface models for
improved soil moisture prediction. Synthetic studies have
shown the potential to estimate subsurface parameters of
land surface models with the assimilation of CRP
observations. In this study, the potential of a network of
CRPs for estimating subsurface parameters and improved soil
moisture states is tested in a real-world case scenario
using the local ensemble transform Kalman filter with the
Community Land Model. The potential of the CRP network was
tested by assimilating CRP-data for the years 2011 and 2012
(with or without soil hydraulic parameter estimation),
followed by the verification year 2013. This was done using
(i) the regional soil map as input information for the
simulations, and (ii) an erroneous, biased soil map. For the
regional soil map, soil moisture characterization was only
improved in the assimilation period but not in the
verification period. For the biased soil map, soil moisture
characterization improved in both periods strongly from a
ERMS of 0.11 cm3/cm3 to 0.03 cm3/cm3 (assimilation
period) and from 0.12 cm3/cm3 to 0.05 cm3/cm3
(verification period) and the estimated soil hydraulic
parameters were after assimilation closer to the ones of the
regional soil map. Finally, the value of the CRP network was
also evaluated with jackknifing data assimilation
experiments. It was found that the CRP network is able to
improve soil moisture estimates at locations between the
assimilation sites from a ERMS of 0.12 cm3/cm3 to
0.06 cm3/cm3 (verification period), but again only if the
initial soil map was biased.},
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},
doi = {10.5194/hess-2016-432},
url = {https://juser.fz-juelich.de/record/825831},
}