Articles | Volume 15, issue 10
The Cryosphere, 15, 4625–4636, 2021
https://doi.org/10.5194/tc-15-4625-2021
The Cryosphere, 15, 4625–4636, 2021
https://doi.org/10.5194/tc-15-4625-2021

Research article 30 Sep 2021

Research article | 30 Sep 2021

Local-scale variability of seasonal mean and extreme values of in situ snow depth and snowfall measurements

Moritz Buchmann et al.

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Cited articles

Bocchiola, D., Bianchi Janetti, E., Gorni, E., Marty, C., and Sovilla, B.: Regional evaluation of three day snow depth for avalanche hazard mapping in Switzerland, Nat. Hazards Earth Syst. Sci., 8, 685–705, https://doi.org/10.5194/nhess-8-685-2008, 2008. 
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Buchmann, M., Begert, M., Brönnimann, S., and Marty, C.: Evaluating the robustness of snow climate indicators using a unique set of parallel snow measurement series, Int. J. Climatol., 41 E2553–E2563, https://doi.org/10.1002/joc.6863, 2021a. 
Buchmann, M., Aschauer, J., Begert, M., and Marty, C.: Snow climate indicators derived from parallel manual snow measurements, EnviDat [data set], https://doi.org/10.16904/envidat.218, 2021b. 
Foster, J. L.: The Significance of the Date of Snow Disappearance on the Arctic Tundra as a Possible Indicator of Climate Change, Arct. Alp. Res., 21, 60–70, https://doi.org/10.2307/1551517, 1989. 
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Short summary
We investigated the impacts of local-scale variations by analysing snow climate indicators derived from parallel snow measurements. We found the largest relative inter-pair differences for all indicators in spring and the smallest in winter. The findings serve as an important basis for our understanding of uncertainties of commonly used snow indicators and provide, in combination with break-detection methods, the groundwork in view of any homogenization efforts regarding snow time series.