Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/hess-2017-579
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
06 Oct 2017
Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Hydrology and Earth System Sciences (HESS).
Obtaining sub-daily new snow density from automated measurements in high mountain regions
Kay Helfricht1, Lea Hartl1, Roland Koch2, Christoph Marty3, and Marc Olefs2 1IGF – Institute for Interdisciplinary Mountain Research, Austrian Academy of Sciences, Innsbruck, 6020, Austria
2ZAMG – Zentralanstalt für Meteorologie und Geodynamik, Climate research department, Vienna, Austria
3WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Abstract. The density of new snow is sometimes monitored by meteorological or hydrological services at daily time intervals, or occasionally measured in local field studies. However, meteorological conditions and thus settling of the freshly deposited snow rapidly alter the new snow density until measurement. Physically based snow models and now-casting applications make use of hourly weather data to determine the water equivalent of the snowfall and snow depth. In previous studies, a number of empirical parameterizations were developed to approximate the new snow density by meteorological parameters. These parameterizations are largely based on new snow measurements derived from local in-situ measurements. In this study a data set of automated snow measurements at four stations located in the European Alps is analysed for several winter seasons. Hourly new snow densities are calculated from the height of new snow and the water equivalent of snowfall. Considering the settling of the new snow and the old snow pack, the average hourly new snow density is 68 kg m−3 with a standard deviation of 9 kg m−3. Seven existing parameterizations for estimating new snow densities were tested against these data, and most calculations overestimate the hourly automated measurements. Two of the tested parameterizations were capable of simulating low new snow densities observed at sheltered inner-alpine stations. The observed variability in new snow density from the automated measurements could not be described with satisfactory statistical significance by any of the investigated parameterizations, but relationships between new snow density and wet bulb temperature are partly visible in the automated measurements data. Wind speed is a crucial parameter for the inter-station variability of new snow density, with higher new snow density at more windy locations. Whereas snow measurements using ultrasonic devices and snow pillows are appropriate for calculating station mean new snow densities, we recommend instruments with higher accuracy e.g. optical devices for better investigations of the variability of new snow densities on sub daily intervals.

Citation: Helfricht, K., Hartl, L., Koch, R., Marty, C., and Olefs, M.: Obtaining sub-daily new snow density from automated measurements in high mountain regions, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-579, in review, 2017.
Kay Helfricht et al.
Kay Helfricht et al.

Data sets

The Kühtai dataset: 25 years of lysimetric, snow pillow and meteorological measurements
J. Parajka
https://doi.org/10.5281/zenodo.556110
WFJ_MOD: Meteorological and snowpack measurements from Weissfluhjoch
WSL Institute for Snow and Avalanche Research SLF
https://doi.org/10.16904/1
Kay Helfricht et al.

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Short summary
We calculated hourly new snow densities from automated measurements. This time interval reduces the influence of settling of the freshly deposited snow. We found an average new snow density of 68 kg m−3. The observed variability could not be described using different parameterizations, but a relationship to temperature is partly visible at hourly intervals. Wind speed is a crucial parameter for the inter-station variability. Our findings are relevant for snow models working on hourly time scales.
We calculated hourly new snow densities from automated measurements. This time interval reduces...
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