References

In this Github-Repository you can view the sources of the Poster “Influences of terrain on snowdepth at very high resolution”. You can view the poster itself as well.

1. Collados‐Lara, A., Pardo‐Igúzquiza, E., & Pulido‐Velazquez, D. (2017). Spatiotemporal estimation of snow depth using point data from snow stakes, digital terrain models, and satellite data. Hydrological Processes, 31(10), 1966–1982. https://doi.org/10.1002/hyp.11165
2. Winstral, A., Elder, K., & Davis, R. E. (2002). Spatial snow modeling of wind-redistributed snow using terrain-based parameters. Journal of Hydrometeorology, 3(5), 524–538. https://doi.org/10.1175/1525-7541(2002)003<0524:SSMOWR>2.0.CO;2
3. Grünewald, T., Schirmer, M., Mott, R., & Lehning, M. (2010). Spatial and temporal variability of snow depth and ablation rates in a small mountain catchment. The Cryosphere, 4(2), 215–225. https://doi.org/10.5194/tc-4-215-2010
4. Grünewald, T., et al. (2013). Statistical modelling of the snow depth distribution in open alpine terrain. Hydrology and Earth System Sciences, 17(8), 3005–3021. https://doi.org/10.5194/hess-17-3005-2013
5. Lapena, D. R., & Martz, L. W. (1996). An investigation of the spatial association between snow depth and topography in a Prairie agricultural landscape using digital terrain analysis. Journal of Hydrology, 184(3–4), 277–298. https://doi.org/10.1016/0022-1694(95)02975-3
6. Hijmans, R. J. (2024). terra: Spatial data analysis (Version 1.7-78) [R package]. https://cran.r-project.org/package=terra
7. Conrad, O., et al. (2015). System for Automated Geoscientific Analyses (SAGA) v. 2.1.4. Geoscientific Model Development, 8(7), 1991–2007. https://doi.org/10.5194/gmd-8-1991-2015
8. Weiss, A. (2001). Topographic position and landforms analysis. [Poster presentation]. ESRI User Conference, San Diego, CA.
9. Berberich, M. (2026). tpiscaleR: Tuning topographic position index [R package]. https://github.com/milesberberich/tpiscaleR
10. Muñoz Sabater, J. (2019). ERA5-Land hourly data from 1950 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). https://doi.org/10.24381/cds.e2161dec
11. Wood, S. N. (2017). Generalized additive models: An introduction with R (2nd ed.). CRC Press.

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