Capillary rise rise experiments in snow using neutron radiography

This dataset consists of data related to capillary rise experiments performed with neutron radiography. There are 4 videos of capillary rise experiments as well as the files used to perform the inverse fitting with Hydrus. The videos show the upward flow of water in glass columns filled with sand and snow or sand, gravel, and snow. The videos show the 2D evolution of the unitless optical density with time. The Hydrus files were used to fit the parameter values of the Mualem-van Genuchten model. The experiments were performed at the Paul Scherrer Institute (PSI) in Villigen, Switzerland.

Funding Information:

This work was supported by:
  • Swiss National Science Foundation (Grant/Award: 200021-212949)

Citation:

Lombardo, Michael; Fees, Amelie; Kaestner, Anders; van Herwijnen, Alec; Schweizer, Jürg; Lehmann, Peter (2025). Capillary rise rise experiments in snow using neutron radiography. EnviDat. doi:10.16904/envidat.572.

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Metadata

Field Values
DOI 10.16904/envidat.572
Publication State Published
Authors
  • Email: michael.lombardofoo(at)slf.ch Given Name: Michael Family Name: Lombardo
  • Email: amelie.feesfoo(at)slf.ch Given Name: Amelie Family Name: Fees Affiliation: WSL Institute for Snow and Avalanche Research SLF
  • Email: anders.kaestnerfoo(at)psi.ch Given Name: Anders Family Name: Kaestner Affiliation: Paul Scherrer Institute PSI
  • Email: vanherwijnenfoo(at)wsl.ch Given Name: Alec Family Name: van Herwijnen Affiliation: WSL Institute for Snow and Avalanche Research SLF
  • Email: schweizerfoo(at)slf.ch ORCID: 0000-0001-5076-2968 Given Name: Jürg Family Name: Schweizer Affiliation: WSL Institute for Snow and Avalanche Research SLF
  • Email: peter.lehmannfoo(at)env.ethz.ch Given Name: Peter Family Name: Lehmann Affiliation: ETH
Contact Person Given Name: Michael Family Name: Lombardo Email: michael.lombardofoo(at)slf.ch
Subtitles
Publication Publisher: EnviDat Year: 2025
Dates
  • Type: Created Date: 2025-01-08 End Date: 2025-01-08
  • Type: Collected Date: 2022-12-03 End Date: 2022-12-07
Version 1.0
Type dataset
General Type Dataset
Language
Location
Content License Creative Commons Attribution    [Open Data]
Last Updated March 4, 2025, 10:59 (UTC)
Created January 8, 2025, 10:02 (UTC)

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