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Discussion papers
https://doi.org/10.5194/tc-2016-267
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-2016-267
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Submitted as: research article 01 Dec 2016

Submitted as: research article | 01 Dec 2016

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This preprint has been retracted.

Uncertainty budget in snow thickness and snow water equivalent estimation using GPR and TDR techniques

Federico Di Paolo1, Barbara Cosciotti1, Sebastian E. Lauro1, Elisabetta Mattei1, Mattia Callegari2, Luca Carturan3, Roberto Seppi4, Francesco Zucca4, and Elena Pettinelli1 Federico Di Paolo et al.
  • 1Department of Mathematics and Physics, Roma Tre University, Rome, 00146, Italy
  • 2Institute for Applied Remote Sensing, EURAC, Bolzano, 39100, Italy
  • 3Department of Land, Environment, Agriculture and Forestry (TeSAF), University of Padova, Legnaro (PD), 35020, Italy
  • 4Department of Earth and Environmental Sciences, University of Pavia, Pavia, 27100, Italy

Abstract. Snow water equivalent is a fundamental parameter for hydrological and climate change studies but its measurement is usually time consuming and destructive. Electromagnetic methods could be a valid alternative to conventional techniques, being fast and non-invasive. In this work we analyze the reliability of a combined GPR/TDR method to estimate snow thickness and snow water equivalent. To estimate GPR accuracy we perform a calibration test where measured and predicted radar data are compared in terms of two-way travel time. Furthermore we implement a complete analysis of the uncertainty budget in order to evaluate the "weight" of each uncertainty on the snow parameters computation chain. We found that GPR, supported by TDR data, is quite reliable as it measures snow thickness and snow water equivalent with an accuracy comparable to that of a traditional method but, in general, with a slightly larger uncertainty.

This preprint has been retracted.

Federico Di Paolo et al.

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Status: closed
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Federico Di Paolo et al.

Federico Di Paolo et al.

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Short summary
Snow water equivalent is an important parameter for hydrological and climate change studies, however its measurement is tedious and time consuming. In this paper we show that it is possible to accurately measure snow water equivalent using electromagnetic methods. During a field campaign we tested the performances of traditional methods vs. those of a Ground Penetrating Radar, founding a very good agreement between the snow water equivalent values computed with the two different methods.
Snow water equivalent is an important parameter for hydrological and climate change studies,...
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