TY  - JOUR
AB  - Measuring the variability of incoming neutrons locally would be usefull for the cosmic-ray neutron sensing (CRNS) method. As the measurement of high energy neutrons is not so easy, alternative particles can be considered for such purpose. Among them, muons are particles created from the same cascade of primary cosmic-ray fluxes that generate neutrons at the ground. In addition, they can be easily detected by small and relatively inexpensive detectors. For these reasons they could provide a suitable local alternative to incoming corrections based on remote neutron monitor data. The reported measurements demonstrated that muon detection system can detect incoming cosmic-ray variations locally. Furthermore the precision of this measurement technique is considered adequate for many CRNS applications.
AU  - Stevanato, L.*
AU  - Baroni, G.*
AU  - Oswald, S.E.*
AU  - Lunardon, M.*
AU  - Mares, V.
AU  - Marinello, F.*
AU  - Moretto, S.*
AU  - Polo, M.*
AU  - Sartori, P.*
AU  - Schattan, P.*
AU  - Rühm, W.
C1  - 64724
C2  - 52419
TI  - An alternative incoming correction for cosmic-ray neutron sensing observations using local muon measurement.
JO  - Geophys. Res. Lett.
VL  - 49
IS  - 6
PY  - 2022
SN  - 0094-8276
ER  - 

TY  - JOUR
AB  - Knowledge of unresolved soil water content variability within model grid cells (i.e., subgrid variability) is important for accurate predictions of land-surface energy and hydrologic fluxes. Here we derived a closed-form expression to describe how soil water content variability depends on mean soil water content (σθ(<θ>)) using stochastic analysis of 1-D unsaturated gravitational flow based on the van Genuchten-Mualem (VGM) model. A sensitivity analysis showed that the n parameter strongly influenced both the shape and magnitude of the maximum of σθ(<θ>). The closed-form expression was used to predict σθ(<θ>) for eight data sets with varying soil texture using VGM parameters obtained from pedotransfer functions that rely on available soil information. Generally, there was good agreement between observed and predicted σθ(<θ>) despite the obvious simplifications that were used to derive the closed-form expression. Furthermore, the novel closed-form expression was successfully used to inversely estimate the variability of hydraulic properties from observed σθ(<θ>) data.
AU  - Qu, W.*
AU  - Bogena, H.R.*
AU  - Huisman, J.A.H.*
AU  - Vanderborght, J.P.*
AU  - Schuh, M.
AU  - Priesack, E.
AU  - Vereecken, H.*
C1  - 43278
C2  - 36336
CY  - Washington
SP  - 789-796
TI  - Predicting subgrid variability of soil water content from basic soil information.
JO  - Geophys. Res. Lett.
VL  - 42
IS  - 3
PB  - Amer Geophysical Union
PY  - 2015
SN  - 0094-8276
ER  -