Articles | Volume 22, issue 5
https://doi.org/10.5194/hess-22-2655-2018
https://doi.org/10.5194/hess-22-2655-2018
Research article
 | 
04 May 2018
Research article |  | 04 May 2018

Obtaining sub-daily new snow density from automated measurements in high mountain regions

Kay Helfricht, Lea Hartl, Roland Koch, Christoph Marty, and Marc Olefs

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Cited articles

Alcott, T. I. and Steenburgh, W. J. : Snow-to-Liquid Ratio Variability and Prediction at a High-Elevation Site in Utah's Wasatch Mountains, Weather Forecast., 25, 323–337, https://doi.org/10.1175/2009WAF2222311.1, 2010. 
Anderson, E. A.: A point energy and mass balance model of a snow cover, NOAA Tech. Rep. NWS-19, 150 pp., 1976. 
Buisán, S. T., Earle, M. E., Collado, J. L., Kochendorfer, J., Alastrué, J., Wolff, M., Smith, C. D., and López-Moreno, J. I.: Assessment of snowfall accumulation underestimation by tipping bucket gauges in the Spanish operational network, Atmos. Meas. Tech., 10, 1079–1091, https://doi.org/10.5194/amt-10-1079-2017, 2017. 
Diamond, M. and Lowry, W. P.: Correlation of density of new snow with 700-millibar temperature, J. Meteorol., 11, 512–513, 1954. 
Egli, L., Jonas, T., and Meister, R.: Comparison of different automatic methods for estimating snow water equivalent, Cold Reg. Sci. Technol., 57, 107–115, https://doi.org/10.1016/j.coldregions.2009.02.008, 2009. 
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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 timescales.