Preprints
https://doi.org/10.5194/egusphere-2022-219
https://doi.org/10.5194/egusphere-2022-219
 
25 Apr 2022
25 Apr 2022
Status: this preprint is open for discussion.

Signal contribution of distant areas to cosmic-ray neutron sensors – implications on footprint and sensitivity

Martin Schrön1, Markus Köhli2,3, and Steffen Zacharias1 Martin Schrön et al.
  • 1UFZ - Helmholtz Centre for Environmental Research GmbH, Leipzig, Germany
  • 2Physikalisches Institut, Heidelberg University, Heidelberg, Germany
  • 3Physikalisches Institut, University of Bonn, Bonn, Germany

Abstract. This paper presents a new theoretical concept to estimate the contribution of distant areas to the measurement signal of cosmic-ray neutron detectors for snow and soil moisture monitoring. The algorithm is based on the local neutron production and their transport mechanism, given by the neutron-moisture relationship and the radial intensity function, respectively. The purely analytical approach has been validated with physics-based neutron transport simulations for heterogeneous soil moisture patterns, exemplary landscape features, and remote fields at a distance. We found that the method provides good approximations of simulated signal contributions in patchy soils with typical deviations of less than 1 %. Moreover, implications of this concept have been investigated for the neutron-moisture relationship, where the signal contribution of an area has the potential to explain deviating shapes of this curve that are often reported in literature. Finally, the concept has been used to develop a new practical footprint definition to express whether or not a distant area's soil moisture change is actually detectable in terms of measurement precision. The presented concepts answer long lasting questions about the influence of distant landscape structures in the integral footprint of the sensor without the need for computationally expensive simulations. The new insights are highly relevant to support signal interpretation, data harmonization, and sensor calibration, and will be particularly useful for sensors positioned in complex terrain or on agriculturally managed sites.

Martin Schrön et al.

Status: open (until 20 Jun 2022)

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Martin Schrön et al.

Model code and software

Signal Contribution and practical footprint estimations Martin Schrön https://github.com/mschroen/crns-signalcontrib

Martin Schrön et al.

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Short summary
This paper presents a new analytical concept to answer long lasting questions of the cosmic-ray neutron sensing community, such as: "What is the influence of a distant area or patches of different land use on the measurement signal?", or "Is the detector sensitive enough to detect a change of soil moisture (e.g. due to irrigation) in a remote field at a certain distance?". The concept may support signal interpretation and sensor calibration particularly in heterogeneous terrain.