Articles | Volume 17, issue 2
Research article
09 Feb 2023
Research article |  | 09 Feb 2023

The benefits of homogenising snow depth series – Impacts on decadal trends and extremes for Switzerland

Moritz Buchmann, Gernot Resch, Michael Begert, Stefan Brönnimann, Barbara Chimani, Wolfgang Schöner, and Christoph Marty

Related authors

Homogeneity assessment of Swiss snow depth series: comparison of break detection capabilities of (semi-)automatic homogenization methods
Moritz Buchmann, John Coll, Johannes Aschauer, Michael Begert, Stefan Brönnimann, Barbara Chimani, Gernot Resch, Wolfgang Schöner, and Christoph Marty
The Cryosphere, 16, 2147–2161,,, 2022
Short summary
Local-scale variability of seasonal mean and extreme values of in situ snow depth and snowfall measurements
Moritz Buchmann, Michael Begert, Stefan Brönnimann, and Christoph Marty
The Cryosphere, 15, 4625–4636,,, 2021
Short summary

Related subject area

Discipline: Snow | Subject: Seasonal Snow
Evaluation of snow cover properties in ERA5 and ERA5-Land with several satellite-based datasets in the Northern Hemisphere in spring 1982–2018
Kerttu Kouki, Kari Luojus, and Aku Riihelä
The Cryosphere, 17, 5007–5026,,, 2023
Short summary
Multi-decadal analysis of past winter temperature, precipitation and snow cover data in the European Alps from reanalyses, climate models and observational datasets
Diego Monteiro and Samuel Morin
The Cryosphere, 17, 3617–3660,,, 2023
Short summary
Spatially continuous snow depth mapping by aeroplane photogrammetry for annual peak of winter from 2017 to 2021 in open areas
Leon J. Bührle, Mauro Marty, Lucie A. Eberhard, Andreas Stoffel, Elisabeth D. Hafner, and Yves Bühler
The Cryosphere, 17, 3383–3408,,, 2023
Short summary
Change in the potential snowfall phenology: past, present, and future in the Chinese Tianshan mountainous region, Central Asia
Xuemei Li, Xinyu Liu, Kaixin Zhao, Xu Zhang, and Lanhai Li
The Cryosphere, 17, 2437–2453,,, 2023
Short summary
Spatiotemporal snow water storage uncertainty in the midlatitude American Cordillera
Yiwen Fang, Yufei Liu, Dongyue Li, Haorui Sun, and Steven A. Margulis
EGUsphere,,, 2023
Short summary

Cited articles

Abegg, B., Morin, S., Demiroglu, O. C., François, H., Rothleitner, M., and Strasser, U.: Overloaded! Critical revision and a new conceptual approach for snow indicators in ski tourism, Int. J. Biometeorol., 65, 701,, 2020. a, b, c
Alexandersson, H.: A homogeneity test applied to precipitation data, J. Climatol., 6, 661–675,, 1986. a, b
Alexandersson, H. and Moberg, A.: HOMOGENIZATION OF SWEDISH TEMPERATURE DATA. PART I: HOMOGENEITY TEST FOR LINEAR TRENDS, Int. J. Climatol., 17, 25–34,<25::AID-JOC103>3.0.CO;2-J, 1997. a, b, c
Al-Rubaye, S., Maguire, M., and Bean, B.: Design Ground Snow Loads: Historical Perspective and State of the Art, J. Struct. Eng., 148, 03122001,, 2022. a
Armstrong, R. and Brun, E.: Snow and Climate: Physical Processes, Surface Energy Exchange and Modeling, Cambridge University Press,, 2008. a
Short summary
Our current knowledge of spatial and temporal snow depth trends is based almost exclusively on time series of non-homogenised observational data. However, like other long-term series from observations, they are susceptible to inhomogeneities that can affect the trends and even change the sign. To assess the relevance of homogenisation for daily snow depths, we investigated its impact on trends and changes in extreme values of snow indices between 1961 and 2021 in the Swiss observation network.