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@INPROCEEDINGS{Jakobi:875415,
author = {Jakobi, Jannis and Huisman, Johan Alexander and Schrön,
Martin and Fiedler, Justus and Brogi, Cosimo and Vereecken,
Harry and Bogena, Heye},
title = {{E}rror estimation for soil moisture measurements with
cosmic-ray neutron sensing and implications for rover
surveys},
reportid = {FZJ-2020-02021},
year = {2020},
abstract = {<p>The cosmic ray neutron (CRN) probe is a non-invasive
device to measure soil moisture at the field scale. This
instrument relies on the inverse correlation between
aboveground epithermal neutron intensity (1eV $\–$ 100
keV) and environmental water content. The measurement
uncertainty of the neutron detector follows Poisson
statistics and thus decreases with decreasing neutron
intensity, which corresponds to increasing soil moisture. In
order to reduce measurement uncertainty (e.g. < 0.03
m<sup>3</sup>/m<sup>3</sup>), the neutron count rate is
often aggregated over large time windows (e.g. 12h or 24h).
To enable shorter aggregation intervals, the measurement
uncertainty can be reduced either by using more efficient
detectors or by using arrays of detectors, as in the case of
CRN rover applications. Depending on soil moisture and
driving speed, aggregation of neutron counts may also be
necessary to obtain sufficiently accurate soil moisture
estimates in rover applications. To date, signal aggregation
has not been investigated sufficiently with respect to the
optimisation of temporal (stationary probes) and spatial
(roving applications) resolution. In this work, we present
an easy-to-use method for uncertainty quantification of soil
moisture observations from CRN sensors based on Gaussian
error propagation theory. We have estimated the uncertainty
using a third order Taylor expansion and compared the result
with a more computationally intensive Monte Carlo approach
and found excellent agreement. Furthermore, we used our
method to quantify the dependence of soil moisture
uncertainty on CRN rover survey design and on selected
aggregation time. We anticipate that the new approach helps
to quantify cosmic ray neutron measurement uncertainty. In
particular, it is anticipated that the strategic planning
and evaluation of CRN rover surveys based on uncertainty
requirements can be improved considerably.</p>},
month = {May},
date = {2020-05-04},
organization = {EGU General Assembly 2020, Wien
(Austria), 4 May 2020 - 8 May 2020},
subtyp = {After Call},
cin = {IBG-3},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255) / TERENO - Terrestrial Environmental
Observatories (TERENO-2008)},
pid = {G:(DE-HGF)POF3-255 / G:(DE-HGF)TERENO-2008},
typ = {PUB:(DE-HGF)24},
doi = {10.5194/egusphere-egu2020-8488},
url = {https://juser.fz-juelich.de/record/875415},
}