Articles | Volume 16, issue 1
The Cryosphere, 16, 43–59, 2022
https://doi.org/10.5194/tc-16-43-2022
The Cryosphere, 16, 43–59, 2022
https://doi.org/10.5194/tc-16-43-2022
Research article
06 Jan 2022
Research article | 06 Jan 2022

Mapping liquid water content in snow at the millimeter scale: an intercomparison of mixed-phase optical property models using hyperspectral imaging and in situ measurements

Christopher Donahue et al.

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Cited articles

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Short summary
The amount of water within a snowpack is important information for predicting snowmelt and wet-snow avalanches. From within a controlled laboratory, the optimal method for measuring liquid water content (LWC) at the snow surface or along a snow pit profile using near-infrared imagery was determined. As snow samples melted, multiple models to represent wet-snow reflectance were assessed against a more established LWC instrument. The best model represents snow as separate spheres of ice and water.