Articles | Volume 5, issue 3
https://doi.org/10.5194/tc-5-617-2011
https://doi.org/10.5194/tc-5-617-2011
Research article
 | 
17 Aug 2011
Research article |  | 17 Aug 2011

Variability of snow depth at the plot scale: implications for mean depth estimation and sampling strategies

J. I. López-Moreno, S. R. Fassnacht, S. Beguería, and J. B. P. Latron

Related subject area

Seasonal Snow
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
The Cryosphere, 17, 653–671, https://doi.org/10.5194/tc-17-653-2023,https://doi.org/10.5194/tc-17-653-2023, 2023
Short summary
Assessing the seasonal evolution of snow depth spatial variability and scaling in complex mountain terrain
Zachary S. Miller, Erich H. Peitzsch, Eric A. Sproles, Karl W. Birkeland, and Ross T. Palomaki
The Cryosphere, 16, 4907–4930, https://doi.org/10.5194/tc-16-4907-2022,https://doi.org/10.5194/tc-16-4907-2022, 2022
Short summary
Impact of measured and simulated tundra snowpack properties on heat transfer
Victoria R. Dutch, Nick Rutter, Leanne Wake, Melody Sandells, Chris Derksen, Branden Walker, Gabriel Hould Gosselin, Oliver Sonnentag, Richard Essery, Richard Kelly, Phillip Marsh, Joshua King, and Julia Boike
The Cryosphere, 16, 4201–4222, https://doi.org/10.5194/tc-16-4201-2022,https://doi.org/10.5194/tc-16-4201-2022, 2022
Short summary
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, https://doi.org/10.5194/tc-16-2147-2022,https://doi.org/10.5194/tc-16-2147-2022, 2022
Short summary
Propagating information from snow observations with CrocO ensemble data assimilation system: a 10-years case study over a snow depth observation network
Bertrand Cluzet, Matthieu Lafaysse, César Deschamps-Berger, Matthieu Vernay, and Marie Dumont
The Cryosphere, 16, 1281–1298, https://doi.org/10.5194/tc-16-1281-2022,https://doi.org/10.5194/tc-16-1281-2022, 2022
Short summary

Cited articles

Anderton, S. P., White S. M., and Alvera, B.: Micro-scale spatial variability and the timing of snow melt runoff in a high mountain catchment, J. Hydrol., 268, 158–176, 2002.
Cleveland, W. S.: Robust Locally Weighted Regression and Smoothing Scatterplots, J. Am. Stat. Assoc., 74(368), 829–836, 1979.
Cline, D., Elder, K., and Bales, R.: Scale Effects in a Distributed Snow Water Equivalence and Snowmelt Model for Mountain Basins, Hydrol. Process., 12, 1527–1536, 1998.
Cressie, N. A. C.: Statistics for Spatial Data, Wiley, New York, 900 pp., 1993.
Deems, J. S., Fassnacht, S. R., and Elder, K. J.: Fractal distribution of snow depth from LiDAR data, J. Hydrometeorol., 7(2), 285–297, 2006.
Download