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@ARTICLE{Baatz:151431,
author = {Baatz, R. and Bogena, Heye and Hendricks Franssen, H.-J.
and Huisman, J. A. and Qu, W. and Montzka, C. and Vereecken,
H.},
title = {{C}alibration of a catchment scale cosmic-ray probe
network: {A} comparison of three parameterization methods},
journal = {Journal of hydrology},
volume = {516},
issn = {0022-1694},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2014-01379},
pages = {231–244},
year = {2014},
abstract = {The objective of this work was to assess the accuracy of
soil water content determination from neutron flux measured
by cosmic-ray probes under humid climate conditions. Ten
cosmic-ray probes were set up in the Rur catchment located
in western Germany, and calibrated by gravimetric soil
sampling campaigns. Aboveground biomass was estimated at the
sites to investigate the role of vegetation cover on the
neutron flux and the calibration procedure. Three
parameterization methods were used to generate site-specific
neutron flux - soil water content calibration curves: i) the
N0-method, ii) the hydrogen molar fraction method
(hmf-method), and iii) the COSMIC-method. At five locations,
calibration measurements were repeated to evaluate
site-specific calibration parameters obtained in two
different sampling campaigns. At two locations, soil water
content determined by cosmic-ray probes was evaluated with
horizontally and vertically weighted soil water content
measurements of two distributed in-situ soil water content
sensor networks. All three methods were successfully
calibrated to determine field scale soil water content
continuously at the ten sites. The hmf-method and the
COSMIC-method had more similar calibration curves than the
N0-method. The three methods performed similarly well in the
validation and errors were within the uncertainty of neutron
flux measurements despite observed differences in the
calibration curves and variable model complexity. In
addition, we found that the obtained calibration parameters
NCOSMIC, N0 and NS showed a strong correlation with
aboveground biomass.},
cin = {IBG-3},
ddc = {690},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {246 - Modelling and Monitoring Terrestrial Systems: Methods
and Technologies (POF2-246) / 255 - Terrestrial Systems:
From Observation to Prediction (POF3-255)},
pid = {G:(DE-HGF)POF2-246 / G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000339036100022},
doi = {10.1016/j.jhydrol.2014.02.026},
url = {https://juser.fz-juelich.de/record/151431},
}