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@ARTICLE{Khli:903173,
author = {Köhli, Markus and Weimar, Jannis and Schrön, Martin and
Baatz, Roland and Schmidt, Ulrich},
title = {{S}oil {M}oisture and {A}ir {H}umidity {D}ependence of the
{A}bove-{G}round {C}osmic-{R}ay {N}eutron {I}ntensity},
journal = {Frontiers in water},
volume = {2},
issn = {2624-9375},
address = {Lausanne},
publisher = {Frontiers Media},
reportid = {FZJ-2021-04893},
pages = {544847},
year = {2021},
abstract = {Investigations of neutron transport through air and soil by
Monte Carlo simulations led to major advancements toward a
precise interpretation of measurements; they particularly
improved the understanding of the cosmic-ray neutron
footprint. Up to now, the conversion of soil moisture to a
detectable neutron count rate has relied mainly on the
equation presented by Desilets and Zreda in 2010. While in
general a hyperbolic expression can be derived from
theoretical considerations, their empiric parameterization
needs to be revised for two reasons. Firstly, a rigorous
mathematical treatment reveals that the values of the four
parameters are ambiguous because their values are not
independent. We found a three-parameter equation with
unambiguous values of the parameters that is equivalent in
any other respect to the four-parameter equation. Secondly,
high-resolution Monte-Carlo simulations revealed a
systematic deviation of the count rate to soil moisture
relation especially for extremely dry conditions as well as
very humid conditions. That is a hint that a smaller
contribution to the intensity was forgotten or not
adequately treated by the conventional approach.
Investigating the above-ground neutron flux through a
broadly based Monte-Carlo simulation campaign revealed a
more detailed understanding of different contributions to
this signal, especially targeting air humidity corrections.
The packages MCNP and URANOS were used to derive a function
able to describe the respective dependencies, including the
effect of different hydrogen pools and the detector-specific
response function. The new relationship has been tested at
two exemplary measurement sites, and its remarkable
performance allows for a promising prospect of more
comprehensive data quality in the future.},
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:000677582300001},
doi = {10.3389/frwa.2020.544847},
url = {https://juser.fz-juelich.de/record/903173},
}