Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.936 IF 4.936
  • IF 5-year value: 5.615 IF 5-year
    5.615
  • CiteScore value: 4.94 CiteScore
    4.94
  • SNIP value: 1.612 SNIP 1.612
  • IPP value: 4.70 IPP 4.70
  • SJR value: 2.134 SJR 2.134
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 107 Scimago H
    index 107
  • h5-index value: 63 h5-index 63
Volume 21, issue 10
Hydrol. Earth Syst. Sci., 21, 5009-5030, 2017
https://doi.org/10.5194/hess-21-5009-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 21, 5009-5030, 2017
https://doi.org/10.5194/hess-21-5009-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 06 Oct 2017

Research article | 06 Oct 2017

Improving calibration and validation of cosmic-ray neutron sensors in the light of spatial sensitivity

Martin Schrön et al.
Related authors  
Intercomparison of cosmic-ray neutron sensors and water balance monitoring in an urban environment
Martin Schrön, Steffen Zacharias, Gary Womack, Markus Köhli, Darin Desilets, Sascha E. Oswald, Jan Bumberger, Hannes Mollenhauer, Simon Kögler, Paul Remmler, Mandy Kasner, Astrid Denk, and Peter Dietrich
Geosci. Instrum. Method. Data Syst., 7, 83-99, https://doi.org/10.5194/gi-7-83-2018,https://doi.org/10.5194/gi-7-83-2018, 2018
Short summary
Related subject area  
Subject: Vadose Zone Hydrology | Techniques and Approaches: Instruments and observation techniques
Large-scale ERT surveys for investigating shallow regolith properties and architecture
Laurent Gourdol, Rémi Clément, Jérôme Juilleret, Laurent Pfister, and Christophe Hissler
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-519,https://doi.org/10.5194/hess-2018-519, 2018
Revised manuscript accepted for HESS
Short summary
The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields
Mireia Fontanet, Daniel Fernàndez-Garcia, and Francesc Ferrer
Hydrol. Earth Syst. Sci., 22, 5889-5900, https://doi.org/10.5194/hess-22-5889-2018,https://doi.org/10.5194/hess-22-5889-2018, 2018
Short summary
Estimating epikarst water storage by time-lapse surface-to-depth gravity measurements
Cédric Champollion, Sabrina Deville, Jean Chéry, Erik Doerflinger, Nicolas Le Moigne, Roger Bayer, Philippe Vernant, and Naomi Mazzilli
Hydrol. Earth Syst. Sci., 22, 3825-3839, https://doi.org/10.5194/hess-22-3825-2018,https://doi.org/10.5194/hess-22-3825-2018, 2018
Short summary
Inter-laboratory comparison of cryogenic water extraction systems for stable isotope analysis of soil water
Natalie Orlowski, Lutz Breuer, Nicolas Angeli, Pascal Boeckx, Christophe Brumbt, Craig S. Cook, Maren Dubbert, Jens Dyckmans, Barbora Gallagher, Benjamin Gralher, Barbara Herbstritt, Pedro Hervé-Fernández, Christophe Hissler, Paul Koeniger, Arnaud Legout, Chandelle Joan Macdonald, Carlos Oyarzún, Regine Redelstein, Christof Seidler, Rolf Siegwolf, Christine Stumpp, Simon Thomsen, Markus Weiler, Christiane Werner, and Jeffrey J. McDonnell
Hydrol. Earth Syst. Sci., 22, 3619-3637, https://doi.org/10.5194/hess-22-3619-2018,https://doi.org/10.5194/hess-22-3619-2018, 2018
Short summary
Preferential flow systems amended with biogeochemical components: imaging of a two-dimensional study
Ashley R. Pales, Biting Li, Heather M. Clifford, Shyla Kupis, Nimisha Edayilam, Dawn Montgomery, Wei-zhen Liang, Mine Dogan, Nishanth Tharayil, Nicole Martinez, Stephen Moysey, Brian Powell, and Christophe J. G. Darnault
Hydrol. Earth Syst. Sci., 22, 2487-2509, https://doi.org/10.5194/hess-22-2487-2018,https://doi.org/10.5194/hess-22-2487-2018, 2018
Cited articles  
Almeida, A. C., Dutta, R., Franz, T. E., Terhorst, A., Smethurst, P. J., Baillie, C., and Worledge, D.: Combining Cosmic-Ray Neutron and Capacitance Sensors and Fuzzy Inference to Spatially Quantify Soil Moisture Distribution, IEEE Sensors J., 14, 3465–3472, https://doi.org/10.1109/JSEN.2014.2345376, 2014.
Baatz, R., Bogena, H., Franssen, H.-J. H., Huisman, J., Qu, W., Montzka, C., and Vereecken, H.: Calibration of a catchment scale cosmic-ray probe network: A comparison of three parameterization methods, J. Hydrol., 516, 231–244, https://doi.org/10.1016/j.jhydrol.2014.02.026, 2014.
Baroni, G. and Oswald, S.: A scaling approach for the assessment of biomass changes and rainfall interception using cosmic-ray neutron sensing, J. Hydrol., 525, 264–276, https://doi.org/10.1016/j.jhydrol.2015.03.053, 2015.
Bogena, H. R., Herbst, M., Huisman, J., Rosenbaum, U., Weuthen, A., and Vereecken, H.: Potential of wireless sensor networks for measuring soil water content variability, Vadose Zone J., 9, 1002–1013, 2010.
Bogena, H. R., Huisman, J. A., Baatz, R., Hendricks Franssen, H.-J., and Vereecken, H.: Accuracy of the cosmic-ray soil water content probe in humid forest ecosystems: The worst case scenario, Water Resour. Res., 49, 5778–5791, https://doi.org/10.1002/wrcr.20463, 2013.
Publications Copernicus
Download
Short summary
A field-scale average of near-surface water content can be sensed by cosmic-ray neutron detectors. To interpret, calibrate, and validate the integral signal, it is important to account for its sensitivity to heterogeneous patterns like dry or wet spots. We show how point samples contribute to the neutron signal based on their depth and distance from the detector. This approach robustly improves the sensor performance and data consistency, and even reveals otherwise hidden hydrological features.
A field-scale average of near-surface water content can be sensed by cosmic-ray neutron...
Citation